data engineer

senior data engineer

software engineer

.net full stack engineer

agentic ai engineer-7

artificial intelligence ai engineer

WilmerHale

<div><div><p>WilmerHale is a leading, full-service international law firm with 1,000 lawyers located throughout 12 offices in the United States and Europe. Our lawyers work at the intersection of government, technology and business, and we remain committed to our guiding principles of providing quality, excellent legal and client services; developing diversity among our lawyers and staff and cultivating an environment that promotes an ambitious spirit, collaboration and collegiality by drawing on the extraordinary talents and dynamic experience of our lawyers. Our goal is to reflect the diversity of our clients and the communities in which we practice.</p>
<p><b>
About the Role</b></p>
<p>
The Artificial Intelligence Engineer is responsible for developing and implementing cutting-edge AI solutions and models to solve complex problems and drive innovation at the firm. This includes working with the legal practices and business departments to support and improve their delivery of services by conceptualizing, developing, delivering, and supporting innovative solutions with a focus on AI and related technologies. The Artificial Intelligence Software Engineer works closely with other technical resources across Information Services (IS) to successfully manage the execution of AI projects, including project definition, requirements gathering, task planning, technical solution development, testing, support, and stakeholder management. Also responsible for supporting the creation of best practices for the development, maintenance, and use of AI solutions, assessing AI-related COTS solutions, as well as assisting end users to create prompts to optimize the effectiveness of the Large Language Models (LLM) solutions.
</p><p><b>What You Will Be Doing</b></p>
<ul><li> Collaborates with cross-functional teams to define AI project use cases, requirements, and objectives, ensuring alignment with overall business goals.</li></ul>
<ul><li> Conducts research to stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identifies opportunities to integrate them into our products and services. Provides updates and recommendations to Director, Application Services.</li></ul>
<ul><li> Optimizes existing generative AI models for improved performance, scalability, and efficiency.</li></ul>
<ul><li> Develops clear and concise documentation, including technical specifications, user guides, and presentations, to communicate complex AI and related concepts to both technical and non-technical stakeholders.</li></ul>
<ul><li> Contributes to the establishment of best practices and standards for AI development within the organization.</li></ul>
<ul><li> Interacts with business stakeholders and explaining technical issues and approaches to a non-technical audience.</li></ul>
<ul><li> Provides functional and technical support and enhancements for the firm&rsquo;s AI solutions.</li></ul>
<ul><li> Provides technical mentorship and guidance to other team members.</li></ul>
<ul><li> Creates and delivers end-user training and documentation and provides second-line support to other users.</li></ul>
<ul><li> Displays professionalism, quality service and a positive &quot;can do&quot; attitude to internal members/departments of the Firm.</li></ul>
<ul><li> Initiates building and maintaining strong relationships with team members across functions and more senior client stakeholders. Uses conflict-resolution skills to facilitate strong team dynamics.</li></ul>
<ul><li> Participates in special projects and performs other duties as assigned.</li></ul>
</div>
<div>Required Skills
</div>
<div><p><b>What You Will Bring to This Position</b></p>
<ul><li> Proficient in Python and have experience with machine learning libraries and frameworks such as TensorFlow or PyTorch,</li></ul>
<ul><li> Experience building recommendation models.</li></ul>
<ul><li> Strong knowledge of data structures, algorithms, and software engineering principles.</li></ul>
<ul><li> Familiar with cloud-based platforms and services, such as Azure or AWS.</li></ul>
<ul><li> Demonstrated ability in .NET technologies using C# as well as related modern development languages and frameworks such as .NET Core, ASP.NET Core, REACT, etc.</li></ul>
<ul><li> Strong SQL skills, the ability to write complex, efficient queries against extremely large data sets is highly desirable.</li></ul>
<ul><li> Demonstrated ability to develop software/code (following firm standards) directly applicable to technology encompassed in assigned applications.</li></ul>
<ul><li> Experience with adherence to a Software Development Methodology like SCRUM and DevOps practices and tools like GitHub, Azure DevOps or other such tools and methodologies.</li></ul>
<ul><li> Excellent problem-solving skills, with the ability to think critically and creatively to develop innovative solutions.</li></ul>
<ul><li> Willingness and ability to learn and use new technologies as the need arises.</li></ul>
<ul><li> Ability to work effectively with both users and technical staff in team-oriented environments.</li></ul>
<ul><li> Good oral and written communication skills and interpersonal skills including the ability to effectively communicate technical information to both technical and non-technical personnel.</li></ul>
<ul><li> Ability to work successfully and independently in an atmosphere of multiple projects, shifting priorities, and deadline pressures.</li></ul>
<ul><li> A strong background in machine learning, deep learning, natural language processing, and software engineering is preferred. Experience working with large-scale language models such as GPT-3/4, BERT, Dolly, LLaMA, PaLM2, etc.
</li></ul><ul><li> Hands-on experience with LLMs fine-tuning is a plus.</li></ul>
<ul><li> Experience with natural language processing (NLP) techniques and tools, such as SpaCy and/or NLTK is a plus.</li></ul>
<ul><li> The ability to be self-directed and learn new technologies quickly is also paramount as the AI technology landscape continues to change rapidly.</li></ul>
</div>
<div>Required Experience
</div><div><ul><li>1-2 years&rsquo; experience delivering solutions with at least one of the following: TensorFlow, Pytorch, BERT and/or ChatGPT 3</li>
<li>2-3 years of experience in applications and services integration and/or development, with significant specialization in one or more areas of the above-mentioned areas of technology</li>
<li>4-5 years of applications web development experience using C# with either .NET Framework or NET CORE a plus</li>
<li>Experience with the following is a big plus but not required: Microsoft Office 365, Microsoft Graph, Messaging (Rebus, NServiceBus)</li>
</ul>
<p><b>Education</b></p>
<ul>
<li>Bachelor&rsquo;s Degree preferred. Equivalent experience may be considered in lieu of education requirements.</li></ul><br>
<p></p>
<p><b>
Our Commitment</b></p>
<p>
Wilmer Cutler Pickering Hale and Dorr LLP (WilmerHale) is an equal opportunity employer and is committed to compliance with all applicable laws prohibiting employment discrimination. It is our policy to take all employment actions and make all employment decisions without regard to race, color, religion, creed, gender, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, ancestry, age, marital status, citizenship status, genetic predisposition or carrier status, disability, military status, status as a disabled or other protected veteran, or any other protected status under applicable law. WilmerHale will make reasonable accommodation for qualified individuals with disabilities and otherwise as required by applicable law.
</p><p>For more information about Equal Employment Opportunity, please click here.</p>
<p>
Hire in salary range is $135,000 - $169,000</p>
<ul><li> For additional information about our benefits, please click here</li></ul>
<p>
#L1-KB1</p>
<p>
#L1-Hybrid</p>
<p>
This job description is intended to describe the general nature and level of the work being performed by employees in the position. It is not intended to be a complete list of all responsibilities, duties, and skills for positions. The firm reserves the right at all times, in its sole discretion, to add or subtract duties and responsibilities, as it deems necessary.</p>
</div>
<div>Job Location
</div><div>Boston, Massachusetts, United States
</div><div>Position Type
</div><div>Full-Time/Regular
</div><div>Salary
</div><div>135,000.00 - 169,000.00 USD</div></div>

Artificial Intelligence (AI) Engineer

Suffolk Construction

<div>Overview:
<p><b>
About Suffolk</b></p><div><div>
Suffolk is a national enterprise that builds, innovates, and invests. We provide value across the entire project lifecycle through our core construction management services and complementary business lines in real estate investment, design, self-perform construction, and technology start-up investment (Suffolk Technologies). By integrating data, artificial intelligence, and advanced technology through our Seamless Platform, we connect design, construction, and operations to deliver smarter, more predictable results and redefine how America builds.</div></div><div></div><div><div><br>
Suffolk &ndash; America&rsquo;s Contractor &ndash; is a national company with more than $9 billion in annual revenue, 3,000 employees, and 17 offices, including Boston (headquarters), New York City, Miami, West Palm Beach, Tampa, Estero, Dallas, Los Angeles, San Francisco, San Diego, Las Vegas, Herndon, U.S. Virgin Islands, and other key markets. Suffolk manages some of the most complex and transformative projects in the country, serving clients across healthcare, life sciences, education, gaming, aviation, transportation, government, mission critical, and commercial sectors. Suffolk is privately held and is led by founder, chairman and CEO John Fish. Suffolk is ranked #8 on ENR&rsquo;s list of &ldquo;Top CM-at-Risk Contractors.&rdquo; For more information, visit www.suffolk.com and follow Suffolk on Facebook, Twitter, LinkedIn, YouTube, and Instagram.</div></div><div></div><div><div><br>
At Suffolk, we believe that our total rewards program should offer you and your family the support you need when it matters most. That&rsquo;s why we have created a program that provides employees with access to a wide variety of options that can be personalized to support you and your loved ones physically, emotionally, and financially.</div></div><div></div><div><div><br>
Benefits include, competitive salaries, auto allowances and gas cards for certain roles, access to market leading medical and emotional and mental health benefits, dental, and vision insurance plans, virtual care options for physical therapy and primary care, generous paid time off, 401k plan with employer match and access to expert financial resources, company paid and voluntary life insurance, tax deferred savings accounts, 10 backup daycare days each year, short- and long-term disability, commuter benefits and more. For more information, click here.</div></div><p></p><div><b><br>
Role</b></div><div>
Join Suffolk&rsquo;s AI Studio in Boston as a core engineer transforming how AI powers construction management. Partnering with Product Managers, Site AI Engineers and Data Engineers, you&rsquo;ll solve pain points, redesign workflows, and deploy AI agents that cut down reporting, accelerate RFIs, simplify lookahead planning, progress updates, materials tracking, and more. You&rsquo;ll focus on building secure, scalable, and high-performance AI agents using modern technologies including AWS Bedrock, and Databricks &mdash; shaping the backbone of Suffolk&rsquo;s &ldquo;Construction Site of the Future.&rdquo;</div><div></div><div><br>
The AI Engineer (AI Studio) builds the foundation that enables jobsite AI to scale. You&rsquo;ll focus on technical excellence, platform reliability, and scalable agent frameworks, enabling field teams to transform how construction projects are executed.</div>
Responsibilities:
<div><b>
AI Product Engineering &amp; Deployment</b></div><ul><li>
Translate product requirements and user stories into production-grade AI solutions using AWS Bedrock, Lambda, ECS/EKS, and Databricks.</li><li>
Implement RAG pipelines with Delta tables, Unity Catalog, and Vector Search.</li><li>
Design and deploy multi-model agents that dynamically select between LLMs (Claude, GPT, Llama, Titan, etc.) based on task context, cost, and latency.</li><li>
Implement multi-agent orchestration frameworks enabling collaboration among specialized agents (e.g., data retriever, planner, summarizer, and action executor) for complex construction workflows.</li><li>
Own full lifecycle delivery &mdash; design, development, testing, deployment, monitoring, and maintenance.</li></ul><div><b>
Full-Stack &amp; Backend Development</b></div><ul><li>
Build APIs, backend services, and agentic workflows using Python, FastAPI, LangChain, and AWS SDKs.</li><li>
Create reusable connectors and orchestration layers for multi-model agents (Claude, GPT, Llama, etc.).</li><li>
Develop front-end integrations for Teams and web SPAs via REST or GraphQL endpoints.</li></ul><div><b>
Data Engineering &amp; Integration</b></div><ul><li>
Partner with Data Engineering to design robust ETL/ELT pipelines from enterprise systems to the Databricks Lakehouse.</li><li>
Ensure efficient data access, caching, and vectorization for low-latency AI response.</li><li>
Build tools to monitor and improve data quality, latency, and observability.</li></ul><div><b>
DevOps &amp; Platform Automation</b></div><ul><li>
Use Terraform, AWS CDK, and GitHub Actions to automate infrastructure and deployments.</li><li>
Implement LLMOps: cost monitoring, latency optimization, usage analytics, and model versioning.</li><li>
Enforce security, governance, and access standards in line with enterprise policies.</li></ul><div><b>
Collaboration &amp; Communication</b></div><ul><li>
Work closely with product managers, site AI engineers, and data scientists to iterate rapidly in Agile sprints.</li><li>
Communicate technical progress clearly to non-technical stakeholders; contribute to internal AI playbooks and templates.</li></ul><br>
<div></div>
Qualifications:
<ul><li>4-6 years of professional software development experience on AWS, with 2+ years focused on AI/ML engineering (LLMs, RAG, Bedrock, or similar). Strong coding proficiency in Python (LangChain, FastAPI, boto3) and solid experience with SQL, Databricks, and vector databases.</li><li>
Experience designing and deploying production systems using AWS Lambda, ECS/EKS, API Gateway, Step Functions, S3, CloudFront, and KMS.</li><li>
Strong foundation in CI/CD, IaC (Terraform/CDK), and GitHub Actions</li><li>
Experience training, retraining and performing transfer learning on ML models desirable.</li><li>
Bachelor&rsquo;s in Computer Science, Engineering, Physics, or a related field; Master&rsquo;s preferred.</li><li>
Prior hands-on work in construction or heavy process industries (manufacturing, oil &amp; gas, chemicals) is a significant plus.</li><li>
Excellent collaboration and communication skills &mdash; able to work cross-functionally but not dependent on business-side facilitation.</li><li>
Integration &amp; ETL skills: Foundational understanding of ETL/ELT design, Airflow or Databricks Workflows, and REST/GraphQL API development; proven collaboration with Data Engineering on source-to-lake and lake-to-agent pipelines.</li></ul><div>
#SUFFOLKHIRING</div>
Working Conditions:
<div>
While performing the duties of this job, the employee is regularly required to sit for long periods of time; talk or hear; perform fine motor, hand and finger skills in the use of a keyboard, telephone, or writing. The employee is frequently required to stands; walk; and reach with arms and/or hands. Specific vision abilities include close vision, distance vision, depth perception and the ability to adjust focus. The employee will spend their time in an office environment with a quiet to moderate noise level. Job site walking.</div>
EEO Statement:
<div>
Suffolk provides equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, pregnancy or maternity, national origin, citizenship, genetic information, disability, protected veteran, gender identity, age or any other status protected by law. This policy applies to recruiting, hiring, transfers, promotions, terminations, compensation, benefits, and all other terms and conditions of employment. Suffolk will not tolerate any unlawful discrimination toward, or harassment of, applicants or employees by anyone at Suffolk, or anyone working on behalf of Suffolk.</div>
Compensation Information:
<div>
The expected salary range for this position (AI Engineer) in Boston, MA is between $133,000 and $186,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package. Actual salaries may be based on several factors including, but not limited to, skill set, experience, education and other qualifications. Suffolk offers a comprehensive benefits package as part of its overall compensation strategy. Salary ranges may differ by geography and are reviewed regularly to reflect market trends.</div></div>

AI Engineer

Bain & Company

<div><p><b>What Makes Us A Great Place To Work</b></p><p>
We are proud to be consistently recognized as one of the world&rsquo;s best places to work. We are currently the top ranked consulting firm on Glassdoor&rsquo;s Best Places to Work list and have earned the #1 spot a record seven times. Extraordinary teams are at the heart of our business strategy, but these don&rsquo;t happen by chance. They require intentional focus on bringing together a broad set of backgrounds, cultures, experiences, perspectives, and skills in a supportive and inclusive work environment. We hire people with exceptional talent and create an environment in which every individual can thrive professionally and personally.</p><p></p><p><b><br>
About Bain AI, Insights &amp; Solutions (AIS)</b></p><p>
Bain&rsquo;s AI, Insights &amp; Solutions (AIS) team works with clients to design and deliver AI-powered solutions that create measurable business impact. You&rsquo;ll operate in multidisciplinary teams alongside Bain consultants, other experts in product, design, architecture and engineering, and client stakeholders, translating ambiguous business problems into robust AI applications that can be piloted, scaled, and adopted.</p><p></p><p><b><br>
The Impact You&rsquo;ll Have</b></p><p>
Bain works with clients on board-level and executive priorities, helping deliver step-change results across growth, productivity, and resilience. In that context, AI is rarely a point solution. The most meaningful outcomes come from building AI as part of an integrated system that combines technology with redesigned processes, operating model changes, and adoption at scale across the organization.</p><p></p><p><br>
As an ML-AI Engineer Intern in AIS, you will build the technical core of these transformations and work as part of broader Bain consulting teams to move solutions from prototype to real adoption. The result is measurable impact at the company or enterprise level and, in many cases, helps clients set new performance standards for their industries.</p><p></p><p><b><br>
The Role</b></p><p>
We are hiring an ML-AI Engineer Intern to help build GenAI and agentic AI applications for enterprise use cases, ranging from rapid proofs of concept (POCs) to MVPs and, where appropriate, scaled production deployments. You will design and implement LLM-driven applications and agentic workflows that use tools, data, and enterprise systems to execute multi-step tasks reliably and safely.</p><p></p><p><br>
While GenAI and agentic AI are the primary focus, you will also draw on data science and ML engineering skills as needed, including building evaluation approaches, working with data pipelines, and developing or integrating ML models when they materially improve performance or reliability.</p><p></p><p><br>
You will have opportunities to work with major AI ecosystem partners through Bain&rsquo;s partnerships, collaborating on real client deployments and helping shape how emerging capabilities are applied in enterprise settings.</p><p></p><p><br>
Bain offers significant learning and growth opportunities through the breadth and depth of problems we solve, the level of impact we help clients achieve, and our apprenticeship model. You will learn by doing, with support from experienced teammates, frequent feedback, and increasing responsibility over time.</p><p></p><p><b><br>
What You&rsquo;ll Do</b></p><p><b>
Build AI applications that drive real business outcomes</b></p><ul><li>
Contribute to the design and development of GenAI applications (e.g., copilots, workflow automation, decision support) using modern LLM stacks.</li><li>
Support the implementation of agentic workflows where they add clear value (e.g., tool use, multi-step execution, human-in-the-loop controls), with attention to reliability, safety, and clear failure modes.</li><li>
Assist in building robust agent capabilities including context engineering, memory/state management (short-term and long-term), orchestration, routing, and tool integration patterns.</li></ul><p><b>
Build and apply data science and machine learning capabilities</b></p><ul><li>
Contribute to ML solutions end-to-end: data preparation, feature engineering, model selection, training, validation/testing, and performance analysis.</li><li>
Apply appropriate ML methods for the problem, spanning classical ML and deep learning (including sequence, text, and image models when relevant).</li><li>
Develop working knowledge of modern deep learning concepts, including transformer fundamentals and LLM pre-training vs post-training concepts (e.g., instruction tuning, preference optimization).</li></ul><p><b>
Engineer for real delivery: POC MVP production</b></p>
Write clean, testable, maintainable code and ship AI services through the full SDLC: build test deploy monitor<ul><li> iterate.</li><li>
Support implementation of MLOps and GenAIOps practices: CI/CD, reproducibility, environment parity, model/prompt/agent versioning, and operational readiness.</li><li>
Contribute to evaluation and observability for GenAI and agentic systems: tracing and instrumentation, regression test suites, automated scoring where appropriate, and iteration loops for prompt/policy optimization.</li><li>
Gain exposure to secure enterprise deployment practices, including access controls, auditability, data handling for sensitive/PII data, and responsible AI guardrails.</li><li>
Contribute to reusable components and accelerators (templates, evaluation harnesses, connectors, orchestration patterns) that scale across client contexts.</li></ul><p><b>
Thrive in a consulting environment</b></p><ul><li>
Communicate clearly with technical and non-technical audiences; present in working sessions, share recommendations, and help write crisp technical documentation.</li><li>
Support client discussions, demos, and documentation development as part of broader engagement teams.</li></ul><p><b>
What We&rsquo;re Looking For (Qualifications)</b></p><p><b>
Educational background</b></p><ul><li>
Currently pursuing or recently completed a bachelor&rsquo;s, master&rsquo;s, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Data Science, Engineering, or a related quantitative field; or equivalent early-career industry experience.</li><li>
Strong academic performance or demonstrated excellence through research, projects, internships, competitions, or open-source contributions.</li></ul><p><b>
Core engineering + AI application skills</b></p><ul><li>
0&ndash;2+ years of professional AI / ML engineering experience or equivalent experience through internships, research, academic projects, or industry roles, with strong backend engineering fundamentals.</li><li>
Proficiency in Python and some experience building APIs/services (e.g., REST/gRPC) or comparable project-based experience.</li><li>
Hands-on experience (academic, internship, or industry) building ML or LLM-powered applications, preferably with exposure to delivery considerations such as latency, cost, reliability, or security.</li><li>
Exposure to retrieval/search systems (e.g., hybrid retrieval, vector search, reranking), and familiarity working with structured and unstructured data stores.</li><li>
Exposure to agentic patterns (context management, tool integration, orchestration, memory/state handling); hands-on experience (academic, internship, or industry) preferred.</li><li>
Strong engineering practices: testing, code review, version control, CI/CD, and performance profiling.</li></ul><p></p><p><b><br>
Breadth of knowledge across data science and machine learning</b></p><ul><li>
Experience training, validating, and testing ML models; strong understanding of overfitting, generalization, and evaluation methodology.</li><li>
Practical experience with feature engineering and data preprocessing.</li><li>
Familiarity with a broad set of ML algorithms (classical ML and deep learning), and the ability to choose methods that match constraints.</li></ul><p><b>
Delivery mindset and consulting skills</b></p><ul><li>
Excellent interpersonal and communication skills, able to explain technical decisions, tradeoffs, and results to mixed audiences.</li><li>
Interest in applying AI to solve real-world business problems in a client-facing environment.</li></ul><p></p><p><b><br>
Working Model &amp; Travel</b></p><ul><li>
This role requires a minimum of three days per week working together in person, either at a client location or at your Bain home office.</li><li>
Travel may be required beyond your home office / primary working location. Frequency and destination vary by project needs.</li></ul><p><b>
U.S. Compensation Information</b></p><p>
For all locations, the good-faith reasonable annualized full-time compensation for this role is commensurate with competitive geographic market rates. Additionally, in some locations compensation may vary based on several factors including, but not limited to relevant experience, education, licensure/certifications, training and skill level.</p><p>
Compensation for this role in the United States includes a monthly base salary of $9,000 and Bain's best-in-class benefits package (details listed below).
</p><ul><li>Bain &amp; Company's comprehensive benefits and wellness program is designed to help employees achieve personal independence, protection and stability in the areas most important to you and your family.</li><li>
Bain pays 100% individual employee premiums for medical, dental and vision programs, offering one of the most comprehensive medical plans for employees without impacting your paycheck</li></ul><p></p><p><i><br>
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.</i></p></div>

ML-AI Engineering Intern

Careers In Travel | Destination Planners

<div>
 <strong>
  Job Overview
  <br/>
  <br/>
 </strong>
 Destination Knot is seeking a dependable and detail-oriented
 <strong>
  Online Hospitality Support Coordinator
 </strong>
 to provide remote administrative and customer support related to reservations, scheduling, and client service. This role focuses on coordination, communication, and accuracy while supporting a positive client experience in a virtual environment.
 <br/>
 <br/>
 This position is ideal for individuals who are organized, professional, and comfortable working independently using online systems.
 <br/>
 <br/>
 <strong>
  Key Responsibilities
  <br/>
  <br/>
 </strong>
 Provide online support for client inquiries related to reservations and scheduling
 <br/>
 <br/>
 Assist with coordination of hospitality-related services, including accommodations and associated arrangements
 <br/>
 <br/>
 Maintain accurate client records and reservation details in internal systems
 <br/>
 <br/>
 Communicate professionally with clients via email, phone, and digital platforms
 <br/>
 <br/>
 Review confirmations and documentation for completeness and accuracy
 <br/>
 <br/>
 Provide general administrative and customer service support
 <br/>
 <br/>
 Follow established procedures and workflows
 <br/>
 <br/>
 Collaborate with internal teams to ensure smooth service delivery
 <br/>
 <br/>
 <strong>
  Qualifications
  <br/>
  <br/>
 </strong>
 Strong written and verbal communication skills
 <br/>
 <br/>
 Excellent organizational skills and attention to detail
 <br/>
 <br/>
 Comfortable using online tools, email, and digital platforms
 <br/>
 <br/>
 Ability to manage multiple tasks in a remote setting
 <br/>
 <br/>
 <strong>
  Customer Service Or Administrative Experience Preferred
  <br/>
  <br/>
 </strong>
 Reliable internet access and a suitable remote work environment
 <br/>
 <br/>
 <strong>
  Work Environment
  <br/>
  <br/>
 </strong>
 Fully remote position
 <br/>
 <br/>
 Structured and supportive team environment
 <br/>
 <br/>
 Training and resources provided
 <br/>
 <br/>
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>


Hospitality Support Coordinator | Online

CloudZero

<div><h2 class="jobSectionHeader"><b>About the Role:</b></h2><p>
The ML problems that define the future of cloud cost-per-anything CloudZero is the cost-per-anything model for cloud and Al - for humans and the agents spend</p><p>
they deploy. We're inverting cost intelligence: from billing-first to telemetry-first. Every</p><p>
CloudZero is inverting the traditional cost intelligence model. Engineering decision is a buying decision - Instead of starting from the monthly bill, we're building toward</p><p>
and we're building the platform that proves it in a telemetry-first platform &mdash; lightweight collection agents real time.inside customer environments, capturing every Al inference</p><p>
event, cloud resource usage, and product telemetry signal in Telemetry-FirstCost-to-Produce Al Inference Agentic Governance ML-Powered real time. That data is reconciled against billing to produce total cost-to-produce intelligence. Not just COGS. The full picture.</p><p>
Al is making every company look like a multi-tenant SaaS. Every enterprise now has per-model, per-token, per-customer Al inference complexity &mdash; and no one has a</p><p>
real-time answer for how to measure, govern, and optimize it. CloudZero is building that answer: a multi-tier architecture spanning real-time streaming (Kafka, Flink/KStreams), batch billing reconciliation, and an intelligent governance layer for both human engineers and the autonomous agents they deploy. Most of what makes this role extraordinary is what</p><p>
we're building next. This is a founding technical engineer role. You won't be managing a team on day one &mdash; you'll be anchoring one. You'll set the technical patterns, solve the hardest data science problems in the product, and help build the team around you. The vision: CloudZero becomes the cost-per-anything model for cloud and Al &mdash; for humans and</p><p>
the agents they deploy.</p><p></p><p>
6 hard ML problems. They sit at the intersection of financial telemetry, cloud infrastructure, Al inference, and massive scale. Some are live in product today; several are what we're building next.</p><p></p><ul><li><p><b>
Real-time Unit Economics</b>: Calculate per-unit costs across millions of transactions with dynamic efficiency management</p></li><li><p><b>
Predictive Cost Intelligence</b>: Predict and prevent cost efficiency breaches before they impact business</p></li><li><p><b>
Multi-Cloud Attribution</b>: Accurately attribute cloud spend across complex systems using probabilistic modeling</p></li><li><p><b>
Autonomous Optimization</b>: Build AI agents that make safe infrastructure changes within business constraints</p></li></ul><h2 class="jobSectionHeader"><b>
Responsibilities:</b></h2><ul><li><p>
Lead by example: spend 60-70% of your time building, architecting, and solving technical problems</p></li><li><p>
Prototype novel ML/AI research ideas, and help translate them into production-ready systems that handle enterprise scale</p></li><li><p>
Build AI-powered features (in partnership with product/engineering teams) for cost optimization, anomaly detection, and predictive analytics</p></li><li><p>
Establish technical standards and development processes for AI/ML systems</p></li><li><p>
Build and develop a small team of AI/ML specialists</p></li><li><p>
Provide hands-on coaching and technical guidance to team members</p></li><li><p>
Foster a culture of innovation, continuous learning, and customer focus</p></li><li><p>
Lead by example in technical decision-making and problem-solving approach</p></li><li><p>
Partner closely with engineering teams to embed AI throughout the platform</p></li><li><p>
Translate complex AI concepts into business value for executives and customers</p></li><li><p>
Drive AI strategy alignment with company vision and product roadmap</p></li><li><p>
Represent CloudZero's AI capabilities in customer conversations and industry events</p></li></ul><h2 class="jobSectionHeader"><b>
Qualifications:</b></h2><ul><li><p>
6+ years in ML engineering and/or data science disciplines, with meaningful time in production systems at scale</p></li><li><p>
Deep time-series fluency &mdash; you've built forecasting and anomaly detection systems that made it to production and earned customer trust</p></li><li><p>
Classical ML foundations &mdash; graphs, clustering, probabilistic modeling, data structures. You reach for the right tool, not the trendiest one</p></li><li><p>
Production ML engineering &mdash; you've owned the full stack: feature engineering, model serving, monitoring, retraining pipelines, feedback loops</p></li><li><p>
Python fluency and data warehouse experience (Snowflake, BigQuery, or equivalent)</p></li><li><p>
Formal background &mdash; in Computer Science, Statistics, Mathematics, or a related quantitative field</p></li><li><p>
GenAI/LLM experience &mdash; you've integrated LLMs, seen their failure modes, and know when to use them vs.traditional ML</p></li><li><p>
Cloud ML infrastructure &mdash; AWS SageMaker, Bedrock, or equivalent. Building systems at enterprise scale in AWS/GCP</p></li><li><p>
FinOps or cost intelligence domain nice to have - understanding of cloud billing, infrastructure cost models, or related financial data</p></li><li><p>
Founding IC experience &mdash; you've been the first or second data scientist and know what it takes to build from scratch</p></li><li><p>
Graph modeling and semantic layers &mdash; knowledge graphs, entity resolution, or semantic modeling in production contexts</p></li><li><p>
Bias toward correctness &mdash; you care whether models are actually right, not just accurate on a validation set</p></li></ul><p></p><h2 class="jobSectionHeader"><b>
About CloudZero:</b></h2><p>
Cloud cost management is one of the biggest challenges organizations face today. As cloud adoption continues to accelerate, so do the complexities and costs associated with it &mdash; and macroeconomic conditions only increase pressure to prove cloud efficiency.</p><p></p><p>
CloudZero is a SaaS platform at the intersection of next-generation cloud cost management and FinOps. We ingest billing and usage data from all cloud, SaaS, and PaaS providers, organize it in real time according to our customers' business structures, and empower organizations to make more informed business decisions.</p><p></p><p>
Since our founding in 2016, our mission has been to make efficient innovation a reality for every cloud-driven organization. We believe every engineering decision is a buying decision, and we're applying proven reliability engineering principles to financial efficiency.</p><p></p><p>
We believe the best AI empowers users with clear insights and confident decisions, transforming complex cloud cost data into actionable intelligence that drives meaningful business outcomes.</p><p></p><p>
To date, we've raised over $56 million from leading venture capital firms. We're solving problems of massive scale, business importance, and complexity in a space that needs it more than ever.</p><p></p><h3 class="jobSectionHeader"><b>
Equal Opportunity Employer</b></h3><p>
CloudZero is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status or disability status. All job offers are contingent upon the candidate passing background and reference checks.</p><p><b>
Please note</b>: <i>CloudZero is unable to sponsor employment visas. Candidates must have permanent authorization to work in the United States without the need for current or future sponsorship.</i></p><p>
Compensation Range: $220K - $250K</p></div>

Lead ML Engineer

Commonwealth of Massachusetts

<div></div><div><div><p><b>The Executive Office of Technology Services and Security (EOTSS) </b>is the lead enterprise technology organization for the Commonwealth of Massachusetts. Charged with driving the ongoing alignment of business and technology across the Commonwealth&rsquo;s Executive Branch, EOTSS oversees and manages the enterprise technology, digital infrastructure and services, as well as the Commonwealth Security Operations Center and an enterprise Standard Operating Environment that includes an information security and risk management framework for over 125 state agencies and over 43,000 state employees. We directly serve our constituents by providing digital services and tools that enable taxpayers, drivers, businesses, visitors, families and other citizens to do business with the Commonwealth in a way that makes every interaction with government easier, faster, and more secure.</p><p><b>
The Office of Data Innovation and Analytics (ODIA)</b>, a division of EOTSS, is the central data office for the Commonwealth and operates under the leadership of the Chief Data Officer. The ODIA establishes data procedures and policies, streamlines data systems, facilitates data sharing among state agencies and the public, and drives innovation in enterprise-wide data management and analytics.</p><p><b>
Our Mission:</b> We provide technology leadership across the Commonwealth to enhance the quality of public service and foster positive community outcomes.</p><div><b>
About this role</b></div><div>
ODIA is seeking a highly experienced and strategic <b>Director of Data</b> <b>Enablement and Architecture</b> to evolve and transform the Commonwealth&rsquo;s data eco-system with practical data governance, robust data architecture and modern data management practices necessary to deliver valued outcomes to our constituents. Reporting directly to the Chief Data Officer, the Director of Data Enablement and Architecture will blend actionable enterprise data governance with advanced data architecture, specifically focused on supporting agencies to ensure data is fit for purpose based on their use case, optimally ready for AI/ML initiatives. The data leader will empower the secretariats/agencies to innovate and iteratively generate business value by crafting pragmatic strategies that help bring &ldquo;governance to life&rdquo; by mitigating risks, ensuring security and compliance, and enabling the usefulness of Commonwealth data. In this role you will collaborate with a cross-functional team of data, engineering, architecture, legal, product management, risk management, IT operations, security and business professionals to develop and maintain a sound, effective enterprise data enablement and policy framework while building capacity for innovation in government.</div><p>
The primary work location for this role will be <b>One Ashburton Place, Boston, Massachusetts 02108. </b>The work schedule for this position is <b>Monday through Friday, 9:00AM &ndash; 5:00PM EST</b>. This position is expected to follow a <b>hybrid</b> model of reporting to work that combines in-office workdays and work from home days as needed.</p><p>
All offers of employment into this position are conditional and subject to passing: a Massachusetts Criminal Background Check (CORI); a security clearance (fingerprinting) consistent with IRS and/or public safety requirements; and security training.</p><p><b>
Duties and Responsibilities:</b></p><p><b>
Data Enablement and Data Sharing</b></p><ul><li><p>
Deploy and evolve a federated, adaptive data governance model that is flexible and dynamic across the Commonwealth&rsquo;s enterprise and ecosystem that encourages innovation at the center and the secretariats/agencies, with distributed, formal and informal decision rights, connected to value, active and sensitive to opportunity and risk.</p></li><li><p>
 Create and establish guidelines, policies, procedures, standards, tracking and controls that manage data assets to ensure data accuracy, lineage, consistency, integrity, and security through federated, adaptive governance models to enable effective decision-making and strategic insights.</p></li><li><p>
Set goals and guiding principles, define data ownership and stewardship, orchestrate documentation, identify key governance processes, and recommend monitoring tools to ensure compliance and effectiveness.</p></li><li><p>
Establish clear inter-agency agreements and automated data sharing process to ensure that data is shared in a compliant, secure, and efficient manner. Broker and mediate agreements for high value, high complexity data sharing initiatives.</p></li><li><p>
Collaborate to define and operationalize enterprise-wide Commonwealth&rsquo;s data, master-data, reference data and metadata standards practices and stewardship models.</p></li></ul><p><b>
Data Architecture and Data Management</b></p><ul><li><p>
Develop architectural roadmaps that prioritize data foundational improvements based on the highest-value data use cases identified across the Commonwealth.</p></li><li><p>
Define and manage data standards and models (conceptual, logical, physical) that promote data reusability and quality across Secretariats, minimizing data preparation time for AI/ML projects supporting public policy.</p></li><li><p>
Design and implement data security, privacy, and access controls within the architecture to meet regulatory requirements, including HIPAA, FERPA, and MA-specific privacy mandates, ensuring sensitive constituent data is handled responsibly.</p></li><li><p>
Evolve and strengthen the Commonwealth's data eco-system by developing overarching policies, standards, guidelines and tools to optimize the ingest, storage, integration, transformation and archiving to ensure data is available, reliable, secure, and meets business needs for information.</p></li><li><p>
In collaboration with EOTSS&rsquo;s risk and law offices, institute data retention, data classification, and data management best practices and standards by influencing partner agencies during implementation of their roadmap initiatives.</p></li></ul><p><b>
AI Ready Data</b></p><ul><li><p>
Contribute to the AI-ready data program that defines a process for agencies to run an AI data readiness scorecard and inventory, align datasets to the AI technique and business decision; qualify them through validation, versioning, observability and regression testing; and govern them with contextual policies and stewardship tied to the use case.</p></li><li><p>
Collaborate across ODIA, EOTSS and agencies to help development of enterprise-grade AI enablers &ndash; AI-ready data, data catalogs, common metadata, MDM, model governance and tooling.</p></li></ul><p><b>
Data Strategy Development and Evolution</b></p><ul><li><p>
Contribute to the data strategy by evolving the vision and the execution roadmap for actionable data enablement across the Commonwealth by defining a strong data architecture, data integration and data governance foundation</p></li><li><p>
Build a strategy with specific high-value actions linked to the shared focus between data management and data governance to accelerate the delivery of data enablement programs and support emerging technology requirements.</p></li></ul><p><b>
Internal and cross-secretariat collaboration</b></p><ul><li><p>
Collaborate in the Data Leadership Council with cross-secretariat data and business leaders to enable agencies to evenly adopt enterprise data platforms, align with enterprise data strategy and consistent data governance practices thus elevating the data maturity to meet business objectives.</p></li><li><p>
 Collaborate with ODIA leaders in enterprise analytics, data product innovation and advanced analytics to develop and execute cross-agency use cases that support strategic business opportunities and improve resident engagement.</p></li><li><p>
Collaborate with Director of Enterprise Analytics Architecture by designing how data is structured, stored, and flows within systems (the &quot;what&quot; and &quot;where&quot;) to support Enterprise Analytics Architecture to successfully fulfill the &quot;why&quot; and &quot;who&quot; using that data across the entire commonwealth to drive business outcomes, decisions, and insights.</p></li><li><p>
Collaborate with the offices of the Chief Information Security Officer and Chief Privacy Officer to align the data enablement framework with enterprise-wide data security and privacy requirements, standards, policies, best practices and tracking.</p></li><li><p>
Collaborate with the CTO Office, Chief Operations Office, and Enterprise Analytics Lead for fit-for-purpose data management, DataOps and observability tools to provide business with production grade data for timely, high-quality decisions and service delivery.</p></li><li><p>
Collaborate with the AI team in the investigation, preparation, adoption, observability and exploitation of artificial intelligence and other disruptive technologies, focusing on accelerating digital business innovation and transformation.</p></li><li><p>
Collaborate with all stakeholders that ODIA serves &ndash; governor&rsquo;s office, cabinet/secretary, secretariats/agencies and data offices to design a resilient, secure, and high-quality data blueprint that empowers an inter-connected government to exploit data and analytics capabilities to maximize the value derived from the state&rsquo;s data assets, directly impacting public services and the lives of Massachusetts residents.</p></li></ul><p><b>
Team leadership and management</b></p><ul><li><p>
Lead and inspire a team of data architects, data quality analysts and data sharing specialists to create scalable, reusable secure and efficient data technology/governance artifacts and standards to enable agencies to deliver on their business objectives.</p></li><li>
Champion the professional growth of team members through coaching, mentoring, and structured development plans, ensuring the team&rsquo;s skills evolve with business needs.</li></ul><p><b>
About you:</b></p><p>
You are a(n) or have a:</p><ul><li><p>
Proven track record implementing federated, adaptive, use-case based governance model or equivalent, balancing centrally established consistency standards and flexible, autonomous domain ownership.</p></li><li><p>
Decisive and self-directed leader who can translate governance to business outcomes and motivate cross-functional teams to deliver them.</p></li><li><p>
Proven experience designing enterprise-level information/data architectures and leading data modeling, MDM or large-scale data integration programs.</p></li><li><p>
Cross functional leader who bridges data management, AI data engineering and governance &mdash; able to align data architecture, operational teams and policy stakeholders to deliver AI-ready data and AI-driven data quality capabilities.</p></li><li><p>
Strategic thinker who is comfortable contributing to a compelling vision and designing and evolving a measurable strategy to achieve that vision.</p></li><li><p>
Relationship-builder who is comfortable managing, communicating, coordinating with executive stakeholders, business managers, and technical experts.</p></li><li><p>
Innovator who can navigate disruptive technologies like artificial intelligence and harness them to improve government performance and the resident experience.</p></li></ul><p><b>
Preferred Knowledge, Skills &amp; Qualifications:</b></p><ul><li><p>
Minimum of 10+ years in Data Architecture and governance, at least three (3) in a leadership role with significant, demonstrated experience focusing on designing and building data management, integration and governance programs.</p></li><li><p>
Strong expertise in data management, data governance, and data architecture principles and practices.</p></li><li><p>
Deep expertise in Data Warehouse and Data Lakehouse design (Dimensional Modeling, Star/Snowflake schemas, Medallion architecture, Delta Lake/Iceberg) and modern cloud data platforms (e.g., Snowflake, BigQuery, Azure Synapse).</p></li><li><p>
Proven experience in defining and implementing enterprise-wide Data Governance frameworks, including data cataloging, lineage tracking, and data quality tools (e.g., Alation, Collibra, Informatica, Purview).</p></li><li><p>
Demonstrable experience with advanced architecture patterns like Data Mesh or Data Fabric.</p></li><li><p>
Expert proficiency in SQL and deep familiarity with NoSQL, distributed systems (e.g., Spark), and cloud-native services (AWS, Azure, or GCP).</p></li><li><p>
Expert knowledge of data modeling techniques optimized for performance and consumption.</p></li><li><p>
Familiarity with AI/ML Data Architecture, including concepts like feature stores (e.g., Feast), MLOps, and model deployment patterns.</p></li><li><p>
Familiarity with ethical AI tools and frameworks for bias detection and model monitoring.</p></li><li><p>
Credible across both IT and business; ability to translate and communicate technical concepts, plans, and procedures to both technical personnel and non-IT business users.</p></li></ul><div><b>
Education and Certifications:</b></div><ul><li><div>
A bachelor&rsquo;s or master&rsquo;s degree in computer science, information technology, data management, business administration, or other related field, or equivalent work experience.</div></li></ul><div><br>
</div></div><div><b>
Qualifications</b><div></div><div><b><br>
MINIMUM ENTRANCE REQUIREMENTS:</b></div><div></div><div><br>
Applicants must have at least (A) seven (7) years of full-time or, equivalent part-time, professional, administrative, supervisory, or managerial experience in IT administration or IT management, of which (B) at least three (3) years must have been in a managerial capacity.</div><p><b>
Comprehensive Benefits</b></p><p>
When you embark on a career with the Commonwealth, you are offered an outstanding suite of employee benefits that add to the overall value of your compensation package. We take pride in providing a work experience that supports you, your loved ones, and your future.</p><p>
Want the specifics? Explore our Employee Benefits and Rewards!</p><div></div><div><b><br>
An Equal Opportunity / Affirmative Action Employer. Females, minorities, veterans, and persons with disabilities are strongly encouraged to apply.</b></div><div></div><div><br>
The Commonwealth is an Equal Opportunity Employer and does not discriminate on the basis of race, religion, color, sex, gender identity or expression, sexual orientation, age, disability, national origin, veteran status, or any other basis covered by appropriate law. Research suggests that qualified women, Black, Indigenous, and Persons of Color (BIPOC) may self-select out of opportunities if they don't meet 100% of the job requirements. We encourage individuals who believe they have the skills necessary to thrive to apply for this role.</div><div><br>
</div></div><div><b>
Official Title</b><b>:</b> IT Manager IX</div><div><b>
Primary Location</b><b>:</b> United States-Massachusetts-Boston-1 Ashburton Place</div><div><b>
Job</b><b>:</b> Information Systems and Technology</div><div><b>
Agency</b><b>:</b> Exec Office of Technology Services and Security</div><div><b>
Schedule</b><b>:</b> Full-time</div><div><b>
Shift</b><b>:</b> Day</div><div><b>
Job Posting</b><b>:</b> Mar 12, 2026, 11:38:43 AM</div><div><b>
Number of Openings</b><b>:</b> 1</div><div><b>
Salary</b><b>:</b> 127,841.22 - 198,857.56 Yearly</div><div><b>
If you have Diversity, Affirmative Action or Equal Employment Opportunity questions or need a Reasonable Accommodation, please contact Diversity Officer / ADA Coordinator</b><b>:</b> Emily Hartmann - 6176608300</div><div><b>
Bargaining Unit</b><b>:</b> M99-Managers (EXE)</div><div><b>
Confidential</b><b>:</b> No</div><div><b>
Potentially Eligible for a Hybrid Work Schedule</b><b>:</b> Yes</div></div>

Director of Data Enablement and Architecture

Butcherbox

<div><div><b>About the Role</b></div><div>
As an Organic Social Media Intern at ButcherBox you will hone your organic social media knowledge while gaining valuable experience and mentorship from seasoned professionals in the industry. If you are passionate about a better food system, social media, content creation and influencer marketing, and are eager to contribute your skills to exciting projects, we want to hear from you!</div><div></div><div><br>
This is a hybrid position, with the expectation that the person in the role will work from our Watertown, MA a minimum of 2 days a week June 2nd - August 14th.</div><div></div><div><b><br>
Position Overview</b></div><div>
ButcherBox is seeking a creative, food-obsessed, social-savvy intern to join our Creative and Marketing team for the summer. This role is ideal for someone who lives on organic social, understands creator culture, loves storytelling, and wants hands-on experience in influencer partnerships and brand activation.</div><div></div><div><br>
You&rsquo;ll help bring our brand to life across social platforms, support influencer campaigns, and assist in creating engaging, scroll-stopping content that inspires home cooks everywhere. Throughout the duration of the intern&rsquo;s time our team will be working on new and existing member events, in-person and online brand activations, summertime content creation and influencer partnerships.</div><div></div><div><b><br>
What You&rsquo;ll Do</b></div><div></div><div><br>
Social Media Support (50%)</div><ul><li>Assist in planning and scheduling content across Instagram, Facebook, TikTok, and emerging platforms.</li><li>Monitor trends, viral formats, and audio to help inform our content strategy.</li><li>Track engagement metrics and help to report on performance.</li><li>Opportunities to contribute to our rising blog.</li></ul><div></div><div><br>
Influencer Marketing (20%)</div><ul><li>Research and identify creators aligned with ButcherBox values.</li><li>Support influencer outreach, communication, and campaign coordination.</li><li>Help track deliverables, timelines, and campaign results.</li><li>Maintain influencer database and performance tracking sheets.</li></ul><div></div><div><br>
Content Creation (20%)</div><ul><li>Assist in concepting short-form video ideas (recipes, lifestyle, UGC-style).</li><li>Support on-set shoots (if local) or remote content coordination.</li><li>Contribute to brainstorming sessions for seasonal campaigns.</li></ul><div></div><div><br>
Brand Activation (10%)</div><ul><li>Event planning support for member activations such as workout classes, member dinners, and beyond!</li></ul><div></div><div><b><br>
What We&rsquo;re Looking For</b></div><ul><li>Currently enrolled in a Marketing, Communications, Media, Art, or related program.</li><li>Proven ability to manage multiple projects simultaneously, prioritize tasks, and meet deadlines in a fast-paced environment.</li><li>Strong understanding of social media strategy.</li><li>Familiar with short-form video formats, specifically with an artistic eye for successful visual content.</li><li>Basic video editing experience (CapCut, Adobe Premiere, Final Cut, or similar).</li><li>Excellent written communication skills with organizational ability around multi\u0002channel communication with influencers and partner brands.</li><li>Passion for food, cooking, sustainability, and better sourcing.</li></ul><div></div><div><b><br>
Bonus Points</b></div><ul><li>Experience working with influencers or brands.</li><li>Photography or food styling experience.</li><li>Knowledge of analytics tools and social reporting.</li><li>Interest in written blogging.</li></ul><div></div><div><b><br>
Compensation: $22/hour</b></div>
<p>
ButcherBox does not use artificial intelligence (AI) tools in any part of our hiring process. If you would like more information about how your data is processed, please contact us.</p></div>

Organic Social Media Summer Intern

Explore 124+ Artificial intelligence ai engineer in Boston this March. Find roles across top companies and apply now to boost your career.