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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 $8 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>
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>
#LI-JG1</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 $114,000 and $160,000 USD. This represents the typical salary range for this position and is just one component of Suffolk&rsquo;s total compensation package for employees. Actual salaries may be based on several factors including, but not limited to, an employee&rsquo;s/ candidate's skill set, experience, education and other qualifications, including budgetary objectives. 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

NTT DATA

<div>At NTT DATA, we know that with the right people on board, anything is possible. The quality, integrity, and commitment of our employees have been key factors in our company's growth and market presence. By hiring the best people and helping them grow both professionally and personally, we ensure a bright future for NTT DATA and for the people who work here.<br>
<br>
For more than 25 years, NTT DATA Services have focused on impacting the core of your business operations with industry-leading outsourcing services and automation. With our industry-specific platforms, we deliver continuous value addition, and innovation that will improve your business outcomes. Outsourcing is not just a method of gaining a one-time cost advantage, but an effective strategy for gaining and maintaining competitive advantages when executed as part of an overall sourcing strategy.<br>
<br>
NTT DATA Services currently seeks a Junior AI Engineerto join our team in Irving, TX.<br>
<br>
Our client is looking for a Junior AI Engineer with about 2 years of work experience in the space. You will be working to solve business problems utilizing AI tools and automation.<br>
<br>
<b>AI Engineer job responsibilities:</b><br>
<ul><li>
Develop and implement machine learning models and algorithms to solve complex business problems and enhance AI-driven applications.</li>
<li>Collaborate with cross-functional teams, including data scientists and software engineers, to integrate AI solutions into existing products and services.</li>
<li>Conduct data analysis, preprocessing, and feature engineering to extract valuable insights from large datasets, improving model performance.</li>
<li>Stay updated on the latest AI and machine learning advancements, research papers, and tools, incorporating them into AI development projects.</li>
<li>Optimize AI models for performance, scalability, and efficiency, leveraging cloud-based resources and distributed computing frameworks.</li>
<li>Actively participate in code reviews and collaborative problem-solving sessions, contributing to the improvement of AI solutions and development processes.</li>
<li>Troubleshoot and resolve AI-related issues, ensuring the reliability and accuracy of AI-driven applications.</li></ul><br>
<b>
Junior AI Engineer job Requirements:</b><br>
<ul><li>
Bachelor's Degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field, or equivalent hands-on experience in AI development.</li>
<li>2 years+ of AI development experience</li>
<li>2 years+ Python development</li>
<li>2 years+ SQL</li>
<li>Understanding of core database concepts</li>
<li>Proven track record as an AI Engineer, with portfolio examples of successful machine learning or AI projects.</li>
<li>Experience with LLMs like OpenAI and Gemini</li>
<li>Data Governance experience</li>
<li>Proficiency in programming languages commonly used in AI, such as Python experience with ML frameworks.</li>
<li>Familiarity with data preprocessing, feature engineering, and model evaluation techniques essential for machine learning projects.</li>
<li>Strong understanding of various machine learning algorithms, including supervised and unsupervised learning, reinforcement learning, and neural networks.</li>
<li>Hands-on experience with Natural Language Processing (NLP), computer vision, or other AI subfields.</li>
<li>Solid grasp of mathematical concepts relevant to AI, such as linear algebra, calculus, and statistics.</li>
<li>Experience with version control systems like Git, enabling effective collaboration and code management.</li>
<li>Strong analytical and problem-solving skills, crucial for algorithm development and data analysis.</li>
<li>Exceptional communication skills, enabling effective collaboration with both technical teams and business stakeholders to translate AI capabilities into business value.</li></ul><br>
<b>
About NTT DATA Services:</b><br>
<br>
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.<br>
<br>
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.<br>
<br>
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is $45-$56.88. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.<br>
<br>
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&amp;D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.</div>

Junior AI Engineer

Dynamo Technologies

<div><p><b>Job Description:</b></p>
<p>The Agentic AI Engineer will lead the design, hands-on development, deployment, and continuous improvement of advanced agentic AI and autonomous technologies for both internal operations and external products. This individual will create production-ready AI systems, rapidly adapt to emerging AI techniques, and own the lifecycle of models and agents from initial ideation through monitoring and maintenance. The engineer will coordinate with cross-functional data, IT, and business teams, but retain technical accountability</p>
<p><b>Duties/ Responsibilities
</b></p><ul><li>Architect, code, and deploy agentic AI systems, autonomous agents, and generative models for internal automation and customer-facing solutions.</li>
<li>Own the complete AI development lifecycle: prototype, productionize, monitor, and continuously improve models and systems.</li>
<li>Rapidly evaluate, adopt, and optimize new AI techniques and platforms as technology evolves.</li>
<li>Support AI-driven transformation in business processes, analytics, and new offerings.</li>
<li>Collaborate as needed with IT, data, security, and compliance teams to meet business and technical objectives while ensuring standards are upheld.</li>
<li>Document solutions, present technical findings, and support knowledge sharing across teams.</li>
<li>Adhere to privacy, security, and regulatory guidelines as required (NIST, CCPA, HIPAA, organizational standards).</li>
</ul>
<p><b>Required Skills/Abilities</b></p>
<ul><li>Proven experience building and deploying AI models and agentic systems in enterprise environments.</li>
<li>Strong proficiency with Python, R, Spark, SQL, and cloud platforms (Azure, AWS, GCP).</li>
<li>Deep understanding of data engineering, integration, and pipeline architecture.</li>
<li>Expertise in agentic workflow design, prompt engineering, and automation orchestration.</li>
<li>Skilled in troubleshooting, QA, and system performance monitoring.</li>
<li>Track record of agility&mdash;quickly learning and applying new AI techniques.</li>
<li>Excellent documentation and collaborative skills.</li>
<li>Able to work independently and coordinate with technical/business stakeholders</li>
<li>U.S. citizenship required</li>
</ul>
<p><b>Nice to Have Skills</b></p>
<ul><li>Experience with agentic AI and LLM orchestration platforms (e.g., Hugging Face, OpenAI APIs, Semantic Kernel</li>
<li>Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps tooling.</li>
<li>Exposure to prompt engineering, conversational AI, or RPA integrations.</li>
<li>Awareness of relevant privacy, compliance, or security frameworks (NIST, CCPA, HIPAA).</li>
<li>Prior consulting, client delivery, or external product development.</li>
<li>Experience documenting and presenting technical solutions to non-technical stakeholders</li>
</ul>
<p><b>Education and Experience:</b></p>
<ul><li>3-6 years of progressive experience designing, developing, and deploying AI solutions and agentic systems in enterprise environments.</li>
<li>Bachelor&rsquo;s degree in Computer Science, Engineering, Mathematics, Data Science, Information Systems, or equivalent;</li>
<li>Master&rsquo;s degree preferred.</li>
</ul>
<p><b>Travel Requirement</b><i>:
</i></p><ul><li><p>Infrequent if at all</p>
</li></ul><p>Dynamo is a full lifecycle digital transformation company providing best-in-class technology and mission support services to our clients. Dynamo&rsquo;s mission is to lead the digital transformation industry and provide best-in-class solutions for our clients with a truly human touch.</p>
<p>We leverage industry leading practices to empower our clients, ultimately providing them with the necessary tools, knowledge, and information required to successfully achieve their strategic goals, while optimizing their operations.</p>
<p>Through our partnerships, boldness, and authenticity, Dynamo goes against the grain of a traditional government contracting company by providing top-caliber team members, delivering quality results, and always exceeding expectations.</p>
<p>Dynamo Technologies is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, disability, protected veteran status, age, or any other characteristic protected by law.</p></div>

Agentic AI Engineer

Region Technologies Inc

<p>Artificial Intelligence Senior Engineer needed.</p><p>Job Type: Contract</p><p>Pay: $55.00 - $60.00 per hour</p><p>Work Location: In person</p>

AI Engineer - Senior

Norm AI

<div><p><b>About Norm Ai</b></p><p>
Norm Ai, the leading Legal &amp; Compliance AI company, has a client base with a combined $30 trillion in assets under management. By turning legal code into AI code, Norm enables enterprises to move faster and more comprehensively in their legal and compliance processes with reliability and trust.</p><p></p><p>
Norm&rsquo;s platform combines frontier AI, proprietary legal reasoning systems, and embedded legal and regulatory expertise.</p><p></p><p>
We have recently raised more than $140 million, backed by Blackstone, Bain Capital, Vanguard, Citi, New York Life, TIAA, Coatue, Craft Ventures, Henry R. Kravis (KKR co-founder), and Marc Benioff (Salesforce CEO).</p><p></p><p>
Norm Ai pioneered Legal Engineering, the process that empowers lawyers to build and supervise domain-specific AI agents with Norm&rsquo;s proprietary suite of no-code software tools. We hired dozens of lawyers from premier U.S. law firms and trained them as Legal Engineers, who specialize in Large Language Model powered legal workflows.</p><p></p><p>
Norm Ai technology is deployed inside many of the largest and most consequential institutions in the world. The company is growing quickly and hiring across all teams.</p><p></p><p><b>
About Norm Law</b></p><p>
Norm Law is the first AI-native full-service law firm for global institutional clients like Blackstone (see recent coverage of our Blackstone partnership. Legal Engineering, a discipline pioneered by Norm Ai, where lawyers develop legal AI agents, powers Norm Law to deliver faster, more precise, and more consistent legal services. With purpose-built AI agents completing first passes of work, Norm lawyers supervise, review, and focus on what matters most: strategic judgment and expert advice.</p><p></p><p>
Norm Law and Norm Ai, together, are building Legal AGI.</p><p></p><p><b>
This Role</b></p><p>
As a Founding AI Engineer, you will work side-by-side with partners and associates. You&rsquo;ll build fast prototypes, test them directly in live workflows, and push successful systems into our platform. The role blends full stack engineering, AI, and data science. It requires fluency in production codebases, speed in iteration, and depth in applying LLMs to solve real problems.</p><p></p><p>
This is a hands-on role at the intersection of AI, reasoning, and high-stakes decision-making. You&rsquo;ll work embedded with domain experts (e.g., lawyers, analysts, compliance officers) to observe workflows, identify inefficiencies, and prototype AI systems that transform how expert reasoning is performed.</p><p></p><p><b>
Skills &amp; Experience</b></p><ul><li><p>
4+ years of experience as a software engineer, ML engineer, or data scientist</p></li><li><p>
Strong programming skills in Python, proficiency in Docker and data storage technologies such as Postgres and Redis</p></li><li><p>
Willingness to work with frontend technologies (Typescript, React, etc.) to bridge the gap between research ideas and the productization of new initiatives</p></li><li><p>
Experience in AI/ML infrastructure and tooling</p></li><li><p>
Interest in becoming a legal and compliance domain expert and working closely with professionals in the field</p></li><li><p>
Strong reading, writing, and quantitative skills, as well as a data-driven approach to problem solving</p></li></ul><p></p><h3 class="jobSectionHeader"><b>
Skills &amp; Experience - Pluses</b></h3><ul><li><p>
Previously built one off analytical systems in trading, research, or other data-heavy fields.</p></li><li><p>
Interest in working directly with non-technical experts to translate their logic into code.</p></li><li><p>
Familiarity with and an eagerness to apply the latest AI research</p></li><li><p>
Experience applying traditional ML systems and processes in the context of state-of-the-art LLMs</p></li><li><p>
Experience deriving insights from PDFs and other unstructured or semi-structured data types</p></li><li><p>
Experience with context engineering and memory in the context of AI agents</p></li><li><p>
Experience modeling uncertainty in ML systems</p></li></ul><p></p><p><b>
Comp &amp; Benefits</b></p><p><i>
$220,000-$285,000 base + employee equity (level dependent)</i></p><p></p><p>
The range displayed in this job posting reflects the minimum and maximum target for new hire salary for this position. Within the range, individual pay is determined by various factors, including job-related skills (as uncovered during the interview process), experience, and relevant education or training. Please note that the compensation details listed here reflect the base salary only, and do not include equity or benefits. We offer a competitive salary along with equity compensation. Our comprehensive benefits package includes a 401(k) plan with an employer match. Employees enjoy top-tier insurance coverage, encompassing health, dental, hospital, accident, and vision plans.</p><p></p><p>
We embrace a flexible hybrid model, typically in-office 4-5 days per week. For candidates needing to relocate to NYC, we provide relocation reimbursement. You'll thrive in our fast-paced learning environment where professional growth is constant.</p><p></p><p><i>
If you&rsquo;re interested in the role but aren&rsquo;t sure whether you&rsquo;re a good fit, we&rsquo;d still like to hear from you.</i></p><p>
To learn more about Norm Ai, visit our <b>website</b>.</p></div>

Founding AI Engineer - Norm Law

SAIC

<div><p>Job ID: 2512374</p><p><b>
Location: </b>REMOTE WORK, VA, US</p><p><b>
Date Posted: </b>2025-12-15</p><p><b>
Category: </b>Information Technology</p><p><b>
Subcategory: </b>Data Scientist</p><p><b>
Schedule: </b>Full-time</p><p><b>
Shift: </b>Day Job</p><p><b>
Travel: </b>No</p><p><b>
Minimum Clearance Required: </b>None</p><p><b>
Clearance Level Must Be Able to Obtain: </b>Public Trust</p><p><b>
Potential for Remote Work: </b>Yes</p><p><b><br>
Description</b>
</p><p>SAIC is seeking an innovative, hands-on development oriented, AI Engineer / Data Scientist with eight years&rsquo; experience in AI/ML/NLP and data modeling to develop prototypes of emerging technologies that solve business problems. The candidate must have cloud engineering experience to ensure integration of the AI/ML/NLP solutions in cloud native environments. This resource will join an energetic and versatile team responsible for addressing the customer challenges through the use of advancing technologies. This is a remote job that can be worked from any location in the continental U.S.</p><p><b>
Responsibilities:</b></p><ul><li>
Operate and maintain an innovation lab for the ideation, design, and engineering of cloud native product modernization and innovation using emerging technologies.</li><li>
Develop end-to-end plans for cloud native AI/ML/NLP innovations that are compliant with cybersecurity policies.</li><li>
Develop and engineer pilots, prototypes, and proof of concept solutions to validate emerging technology, modernization, and innovation opportunities.</li><li>
We need a resource that understands modern AI Large Language Models (LLM&rsquo;s) and their inner workings / architectures / backbone and head.</li><li>
We need a resource experienced in prompt engineering and Retrieval-Augmented Generation (RAG).</li><li>
Implement transparency, traceability, and appropriate security handling in line with best practices and applicable compliance standards including Authorization To Operate (ATO) certifications.</li><li>
Implement predictive models, machine learning algorithms, and statistical analyses to solve complex business problems.</li><li>
Develop low risk implementation plans and present business briefings, recommendations, and demonstrations to executives and technical stakeholders in a clear manner based on data architecture best practices.</li><li>
Collaborate with cross-functional teams including data engineering, product, and business stakeholders to translate requirements into data-driven solutions.</li><li>
Conduct exploratory data analysis and generate actionable insights from large and complex datasets.</li><li>
Support total experience initiatives including customer experience, user experience and human centered design through focus groups, metrics, wireframes, mockups, and information architecture development.</li><li>
Develop reusable code libraries and best practices for modernization and innovation development and deployment.</li><li>
Mentor more junior data scientists and guide the team in adopting the new technologies and techniques.</li><li>
Stay current with advancements in data science, machine learning, AI research and cloud architectures.</li><li>
Support Agile product teams in integrating and operationalizing emerging technologies and data strategies.</li><li>
Analyze data and usage to find patterns and solutions to business challenges.</li></ul><p><b>
Qualifications</b>
</p><p><b>Qualifications:</b></p><ul><li>
MA/MS degree and 8 years or more of experience in data analytics, data modeling, machine learning, natural language processing, security, and artificial intelligence technologies in cloud native environments (AWS, Azure, Google). Additional experience may be substituted for educational requirements where appropriate.</li><li>
US Citizenship not required, but must have lived in the US for at least two consecutive years.</li><li>
Must be able to obtain a Public Trust.</li></ul><br>
Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.</div>

Principal Data Scientist AI Engineer

Acuity Inc.

<p></p><div><p>QSC is creating exceptional, people-centric experiences with the perfect balance of technology and creativity. Q-SYS, our innovative full stack audio, video and control platform, unifies data, devices and a cloud-first architecture, empowering organizations to deliver transformative AV experiences across built spaces. Building on the QSC legacy, QSC Audio delivers audio technology that empowers live entertainers and sound reinforcement professionals with the confidence to create and deliver memorable experiences for their audiences.</p><p>
Atrius, Distech Controls and QSC are part of the Acuity Intelligent Spaces (AIS) business segment. Our mission is to make spaces smarter, safer and greener through our strategy of connecting the edge with the cloud using disruptive technologies that leverage data interoperability.</p><p>
Acuity Inc. (NYSE: AYI) is a market-leading industrial technology company. We use technology to solve problems in spaces, light and more things to come. Through our two business segments, Acuity Brands Lighting (ABL) and Acuity Intelligent Spaces (AIS), we design, manufacture, and bring to market products and services that make a valuable difference in people&rsquo;s lives.</p><p>
We achieve growth through the development of innovative new products and services, including lighting, lighting controls, building management solutions, and an audio, video and control platform. We focus on customer outcomes and drive growth and productivity to increase market share and deliver superior returns. We look to aggressively deploy capital to grow the business and to enter attractive new verticals. Acuity Inc. is based in Atlanta, Georgia, with operations across North America, Europe and Asia. The Company is powered by approximately 13,000 dedicated and talented associates. Visit us at www.acuityinc.com.</p><div><div><div><h2 class="jobSectionHeader"><b>
Job Summary</b></h2></div><div><p>
You understand that Artificial Intelligence is the next frontier for audio. You also know that your knack for chasing that &ldquo;perfect sound&rdquo; combined with AI will absolutely revolutionize the industry. You just needed a place that understands, supports, and fuels your fire. Search no more: our Research and Development department is building the next wave of AI Technology for audio &ndash; working to tackle some of the industry&rsquo;s most challenging hurdles. Roll up your sleeves; it is time to apply your theoretical and practical knowledge. We want to embrace your passion to innovate, create, and design &ndash; all you have to do is apply here.</p><p>
The AI Engineer will work with an experienced team of software and firmware engineers to further develop our Q-SYS platform. Q-SYS is a fast growing, award winning, software and hardware platform built on cutting-edge audio, video and control products. This position is hybrid, based in Boulder, CO or Costa Mesa, CA. The AI engineer will focus on computer vision, deep learning, and audio problems.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Key Tasks &amp; Responsibilities (Essential Functions)</b></h2></div><div><ul><li>
Develop world-class AI driven solutions withing the pro audio, video, control industry</li><li>
Source, evaluate, and tune AI models for video and audio</li><li>
Work with applications development team to develop appropriate interfaces</li><li>
Work with Software Quality Assurance to develop appropriate test strategies</li><li>
Perform other duties as assigned</li></ul></div></div><div><div><h2 class="jobSectionHeader"><b>
Skills and Minimum Experience Required</b></h2></div><div><ul><li>
B.S. in Computer Science, Electrical Engineering, Computer Engineering or equivalent</li><li>
Minimum 3 years of work experience in a software development environment</li><li>
Experience sourcing, evaluating, and tuning AI models</li><li>
Experience with the features of modern python and its effective use in solving real-world problems</li><li>
Experience with the best principles, practices, and patterns of AI infrastructure, development, and design.</li><li>
Must be able to take ownership of large portions of the software from a technical perspective</li><li>
Must be self-motivated, highly curious, and practically driven in order to achieve assigned objectives with minimal supervision</li><li>
Proficiency in several of the following areas:</li><li><ul><li>
Tensorflow</li><li>
OpenVINO</li><li>
PyTorch</li><li>
Caffe</li><li>
Python</li><li>
Real time processing</li></ul></li></ul></div></div></div><p>
QSC. is owned by Acuity Inc., which is located in the United States. These companies share a global recruitment system on which the data you provide will be stored, and which will be subject to the laws of the United States of America.</p><p></p><p><br>
The range for this position is $120,800 to $217,400. Placement within this range may vary, depending on the applicant&rsquo;s experience and geographic location. Acuity offers generous benefits including health care, dental coverage, vision plans, 401K benefits, and commissions/incentive compensation depending on role. For a list of our benefits, click here.</p><p></p><p><br>
We value diversity and are an equal opportunity employer. All qualified applicants will be considered for employment without regards to race, color, age, gender, sexual orientation, gender identity and expression, ethnicity or national origin, disability, pregnancy, religion, covered veteran status, protected genetic information, or any other characteristic protected by law.</p><p></p><p><b><br>
Accommodation for Applicants with Disabilities: </b>As an equal opportunity employer, Acuity Inc. is committed to providing reasonable accommodations in its application process for qualified individuals with disabilities and disabled veterans. If you have difficulty using our online system due to a disability and need accommodation, you may contact us at (770) 922-9000, select option 4. Please clearly indicate what type of accommodation you are requesting and for what requisition.</p><p>
Any unsolicited resumes sent to Acuity Inc. from a third party, such as an Agency recruiter, including unsolicited resumes sent to an Acuity Inc. mailing address, fax machine or email address, directly to Acuity Inc. employees, or to Acuity Inc. resume database will be considered Acuity Inc. property. Acuity Inc. will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.</p><p>
Acuity Inc. will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees. This includes any Agency that is an approved/engaged vendor, but does not have the appropriate approvals to be engaged on a search.</p><p></p><p><br>
E-Verify Participation Poster</p><p>
e-verify.gov</p><p>
eeoc.gov</p></div>

Senior Audio AI Engineer

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