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artificial intelligence (ai) engineer

agentic ai engineer

Winaxis LLC

<div>
 
 About The Role
 
 
 
 We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies.
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, train, and optimize Machine Learning and Deep Learning models.
 </li>
 <li>
 Build and maintain scalable data pipelines for model training and inference.
 </li>
 <li>
 Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques.
 </li>
 <li>
 Deploy machine learning models into production environments using MLOps best practices.
 </li>
 <li>
 Work with large datasets and perform data preprocessing, feature engineering, and model evaluation.
 </li>
 <li>
 Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions.
 </li>
 <li>
 Monitor model performance and implement continuous improvements.
 </li>
 <li>
 Research and evaluate emerging AI technologies, frameworks, and industry trends.
 </li>
 <li>
 Develop APIs and microservices for AI model integration.
 </li>
 <li>
 Ensure data security, model governance, and compliance standards are maintained.
 
 
 </li>
 </ul>
 Required Qualifications
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field.
 </li>
 <li>
 Strong programming skills in Python.
 </li>
 <li>
 Experience with Machine Learning libraries such as:
 </li>
 <ul>
 <li>
 TensorFlow
 </li>
 <li>
 PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 XGBoost
 </li>
 </ul>
 <li>
 Strong understanding of:
 </li>
 <ul>
 <li>
 Supervised and Unsupervised Learning
 </li>
 <li>
 Deep Learning
 </li>
 <li>
 Neural Networks
 </li>
 <li>
 Natural Language Processing (NLP)
 </li>
 <li>
 Computer Vision
 </li>
 <li>
 Reinforcement Learning (preferred)
 </li>
 </ul>
 <li>
 Experience with SQL and NoSQL databases.
 </li>
 <li>
 Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow.
 </li>
 <li>
 Experience working with cloud platforms such as AWS, Azure, or GCP.
 </li>
 <li>
 Familiarity with version control systems like Git.
 </li>
 </ul>
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with Generative AI technologies and Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with:
 </li>
 <ul>
 <li>
 LangChain
 </li>
 <li>
 LlamaIndex
 </li>
 <li>
 Hugging Face
 </li>
 <li>
 OpenAI APIs
 </li>
 <li>
 Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS)
 </li>
 </ul>
 <li>
 Experience in RAG (Retrieval-Augmented Generation) implementations.
 </li>
 <li>
 Knowledge of MLOps tools and CI/CD pipelines.
 </li>
 <li>
 Experience with Databricks and Apache Spark.
 </li>
 </ul>
 Technical Skills
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 SQL
 </li>
 <li>
 TensorFlow
 </li>
 <li>
 PyTorch
 </li>
 <li>
 Scikit-learn
 </li>
 <li>
 Pandas
 </li>
 <li>
 NumPy
 </li>
 <li>
 Apache Spark
 </li>
 <li>
 MLflow
 </li>
 <li>
 Docker
 </li>
 <li>
 Kubernetes
 </li>
 <li>
 AWS/Azure/GCP
 </li>
 <li>
 Git
 </li>
 <li>
 REST APIs
 </li>
 <li>
 Generative AI &amp; LLMs
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong analytical and problem-solving abilities.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 Ability to work independently and in a team environment.
 </li>
 <li>
 Strong attention to detail and commitment to quality.
 
 
 </li>
 </ul>
 Nice to Have
 
 
 <ul>
 <li>
 AI Agent Development
 </li>
 <li>
 Multi-Agent Systems
 </li>
 <li>
 Prompt Engineering
 </li>
 <li>
 Fine-tuning LLMs
 </li>
 <li>
 Knowledge Graphs
 </li>
 <li>
 MLOps Certification
 </li>
 <li>
 Cloud Certifications (AWS, Azure, GCP)
 </li>
 </ul>
</div>

AI/ML Engineer

MIRAKL SAS

<div></div><div><div><div><div>Boston, Massachusetts, United States; New York, New York, United States
</div><div></div><div>Sales
</div><div></div><div>June 3, 2026
</div></div><div><div>About Mirakl: 
Founded in 2012, Mirakl has been at the forefront of marketplace innovation, empowering every business to compete in the platform economy.
 
 
Today, Mirakl&rsquo;s operating system combines an enterprise marketplace solution (Mirakl Platform) that enables retailers and B2B organizations to launch, scale, and operate marketplaces and dropship, AI-powered multichannel selling (Mirakl Connect), retail media (Mirakl Ads) and an agentic commerce infrastructure (Mirakl Nexus).
 
 
With dual headquarters in Boston and Paris, Mirakl helps a global ecosystem of 450+ marketplaces (B2C and B2B) and a network of over 100k third-party marketplace sellers. Brands like Macy&rsquo;s, Decathlon, Carrefour, Asos, and Airbus Helicopters use Mirakl to grow their businesses in new and remarkable ways. 
For more information, visit www.mirakl.com. 
Mirakl in Numbers:
<ul><li>️ Founded in 2012 | Member of French Tech Next40</li>
<li>750+ employees in 9 offices worldwide: Paris, Barcelona, Bordeaux, Boston, London, Munich, New York, Sydney, Tokyo</li> 
</ul>Our Values:
Working at Mirakl means accelerating your career alongside ambitious, passionate, and supportive colleagues. We're proud of the diversity of backgrounds, perspectives, and experiences that make our teams unique. 
Our 5 values guide how we collaborate:
<ul><li>Work Hard Together: Teamwork and collaboration are the foundation of our success</li>
<li>Get Things Done: We prioritize action and efficiency for impactful results</li>
<li>Go Above &amp; Beyond: We tackle challenges proactively and always aim for excellence</li>
<li>Succeed Through Expertise: Knowledge sharing and continuous learning are core to our culture</li>
<li>Satisfy &amp; Empower Clients: We're committed to our clients' success</li> 
</ul></div>You'll be part of our AMER Mirakl Ads team led by Octavie Gosselin, VP Mirakl Ads. Together with your team, you'll be unlocking profitable revenue streams with Mirakl Ads, a self-service retail media platform that gives retailers complete control over ad inventory, and enables advertisers of all sizes to maximise performance to deliver shoppers the products that perfectly match their needs.
Mirakl Ads launched in November 2022 and represents a unique offering in the retail media space. By leveraging Mirakl's expertise in eCommerce best practices, product data management, and conversion optimization, we've built a purpose-built retail media solution that maximizes sales and enhances profitability through digital advertising expenditure.
Mirakl is actively looking for a Head of Sales, Mirakl Ads to support the rapid adoption of Mirakl Ads in the AMER region and contribute to our growth. The ideal candidate will have expertise in SaaS sales management and Retail Media. This position is available in either our Boston or New York office.
Your Impact:
As the Head of Sales for Mirakl Ads in AMER, you'll spearhead the expansion of our retail media activities, leading a dynamic sales team to promote Mirakl Ads among both new and existing customers. We're looking for a charismatic relationship builder who is proactive, innovative, and well-connected. You'll play a key role in shaping our corporate sales strategy, driving its execution, and achieving strategic goals. Additionally, you will provide executive sponsorship for clients, handle initial escalations, and ensure smooth customer engagements. Join us and be at the forefront of our sales force, making a direct impact on our success.
What you will do at Mirakl:
<ul><li>Play a pivotal and inspiring role in building, leading, and motivating a talented sales team composed of Account Executives, Business Development Representatives, and Solution Engineers, driving them toward unparalleled success.</li>
<li>Define global go to market strategy consistent with Mirakl&rsquo;s objectives</li>
<li>Establish solid relationships with key players at the highest levels of an organization, particularly within the VP, EVP, and C-suite</li>
<li>Continuous mentoring and development of sales team which includes recruiting, hiring and training duties</li>
<li>Supporting Account Executives by participating and leading in client meetings and engaging other corporate resources as required</li>
<li>Develop partnerships and increase the visibility of Mirakl Ads in the E-Commerce and Retail Media sector</li>
<li>Collaborate with marketing, business development, and partners to build accurate forecast and pipeline</li>
<li>Reporting on sales activity and revenue forecast</li>
</ul>What Mirakl is looking for in a candidate:
<ul><li>10+ years of proven success in software sales and experience within the retail media industry</li>
<li>At least 3 years of demonstrated experience in managing a sales team, with a minimum team size of 10 people</li>
<li>Proven track record of driving regional growth for a SaaS company through acquiring new clients and implementing effective upsell/cross-sell strategies</li>
<li>Must be a highly business-driven individual who excels in fast-paced and dynamic environments</li>
<li>Fluency in French and/or Spanish would be an added advantage</li> 
</ul><div><div><div>Below you will find the reasonably estimated annual On-Target Earnings (OTE) range for this role. OTE reflects total target compensation, reflective of base salary and variable compensation (e.g., commission or bonus). Your starting compensation within this range will be based on your relevant skills, experience, and education, with any future adjustments informed by role scope, performance, and internal pay equity. In addition, Mirakl offers a wide range of competitive benefits including health, dental, 401(k) match plan, commuter, and PTO. .
</div><div>OTE Pay Range</div>
<div>$375,000&mdash;$475,000 USD
</div></div></div><div>We welcome collaborators with their diverse perspectives and experiences to power us forward. These often far exceed conventional job requirements and help us create a culture of continuous learning. If you&rsquo;re ready to join a global leader powering digital transformation for 450+ of the world&rsquo;s most innovative retailers and B2B organizations.
We may use Artificial Intelligence (AI) solutions to help streamline our hiring process, including screening applications, analyzing resumes, and assessing responses. While AI helps us work efficiently, all final hiring decisions are made by humans. For more information, visit our AI Guidelines for Candidates and Interviews.</div></div></div></div><div></div>

Head of Sales, Mirakl Ads

BOARD International

<div>At Board, we help enterprises plan smarter, drive outcomes and lead transformation with one single Intelligent Planning Platform. Trusted by thousands of leading organizations, over the last 28 years, we have designed our Product with enterprise planning agility in mind and the passionate care of our people as our main driver. 
 
We strongly believe every colleague brings unique value to our whole organization. We collaborate openly and effectively to deliver results and celebrate our shared success, thrive on innovation and embrace a growth mindset to aim higher every day. If you&rsquo;re a forward-thinker looking for the great next step in your career within an innovative and collaborative environment, Board is the right workplace for you! 
 
We are looking for an Associate AI Engineer to join our AI Center of Excellence on a 6-month contract. In this role, you will work alongside AI engineers and business stakeholders to design, build, and deploy AI-powered solutions that improve business processes and drive operational efficiency across the organization. 
You will contribute to real-world AI initiatives, leveraging technologies such as Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agent-based architectures to address business challenges and deliver measurable impact. 
 
What you&rsquo;ll do<ul><li>
Partner with teams across Customer Success, Support, Professional Services, Sales, and other business functions to identify and deliver high-impact AI use cases that improve productivity and operational efficiency.</li><li>
Understand business objectives and technical requirements, and design AI-powered solutions to address real-world challenges.</li><li>
Build, test, and deploy AI applications and production-ready prototypes using state of the art technologies.</li><li>
Design and implement AI-enabled workflows, including intelligent document processing, multi-agent solutions, AI-based routing, and decision-support capabilities.</li><li>
Support the end-to-end delivery of AI initiatives, from use case definition and solution design through deployment and adoption.</li><li>
Integrate AI solutions with enterprise platforms and business systems, including CRM, ERP, ITSM, marketing, finance, and procurement applications.</li><li>
Contribute to the development and maintenance of reusable AI components, tools, and internal best practices.</li><li>
Collaborate with AI engineers and stakeholders in architecture reviews, testing, and knowledge-sharing activities.</li><li>
Ensure AI solutions align with governance, security, compliance, and responsible AI standards, including monitoring for quality, reliability, and potential bias.</li></ul> 

What We&rsquo;re Looking For<ul><li>
 Academic background in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Software Engineering, or a related field.</li><li>
Knowledge of AI and GenAI fundamentals, either through academic or professional work.</li><li>
Experience developing production-level solutions using Python and working with APIs, data pipelines, or AI frameworks.</li><li>
Experience working with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector databases, and modern AI development tools.</li><li>
Knowledge of Azure AI Services or other cloud-based AI platforms is a plus.</li><li>
Understanding of software development best practices and the AI solution lifecycle.</li><li>
Strong analytical and problem-solving skills, with the ability to translate business challenges into practical solutions.</li><li>
Excellent communication skills, including the ability to explain technical concepts to both technical and non-technical audiences.</li><li>
Collaborative mindset with the ability to build effective working relationships across teams.</li><li>
Customer-focused approach and genuine interest in improving business outcomes through technology.</li><li>
Curious, proactive, and eager to learn new technologies in a fast-paced environment.</li><li>
Adaptable and comfortable working with ambiguity, changing priorities, and evolving business requirements.</li><li>
Strong organizational and time-management skills, with attention to detail and a commitment to delivering high-quality work.</li><li>
Creative thinker with a passion for innovation, continuous improvement, and emerging AI technologies.</li></ul> 

Our Commitment to Diversity, Equity and Inclusion 
Join a company that believes in the added value of diversity, inclusion, and belonging. We foster a working environment in which all people are respected and valued, for all aspects which make them unique. We hire you for who you are, and we want you to bring your true self to work every day! 
Board International is an equal opportunity employer and is committed to a diverse and inclusive workforce.
Your personal data will be stored for as long as it is necessary to process the job applications that you submitted and for the provision of the service that you requested. Your personal data may also be processed for the fulfillment of the obligations provided for by law. Your data will in any case be deleted without unjustified delay once the aforementioned legal obligations have been fulfilled. Your personal data are collected and used by Board International SA and/or its subsidiaries that are located in the EU or outside on the basis of the appropriate safeguards provided by the European Regulation 2016/679. At any time you may request to access, to correct and/or delete your personal data used by Board International SA or by its subsidiaries for recruiting purposes.
For further question, please refer to our Privacy Policy at https://www.board.com/en/privacy-policy
LeNTy0zfun</div>

Associate AI Engineer (6-month contract)

Hasbro

<div>
 
 We take play seriously. We&rsquo;re looking for curious adventurers ready to find their party, fueled by imagination and drive to build what&rsquo;s never been built before. At Hasbro and Wizards of the Coast, you&rsquo;ll collaborate with passionate teams to reimagine our iconic brands and create experiences that spark joy, connection, and community through the magic of play. This is your chance to shape legendary play that lasts a lifetime.
 
 
 
 
 
 
 Step Into the Multiverse: Your Next Adventure Starts Here
 
 
 
 
 
 
 At Wizards of the Coast, we harness the power of imagination and connection to create unforgettable experiences. We create entertainment that inspires creativity, sparks passion, forges friendships, and fosters communities around the globe. In every pursuit our mission is to inspire a lifetime love of games. Whether it's through the strategic depth of Magic: The Gathering&reg;, the rich storytelling of Dungeons &amp; Dragons&reg;, or our AAA digital game studios, we build worlds that bring people together, spark creativity, and fuel adventure. As we continue to grow and explore new realms, we're seeking passionate, curious, and innovative minds to join the adventure.
 
 
 We are growing our Enterprise Data &amp; Engineering team!
 
 
 
 
 
 Do you have a passion for data and a drive to build things that matter? We&rsquo;re looking for a Data Engineer to join our high-visibility Enterprise Data &amp; Engineering team, helping Hasbro better reach consumers with compelling products and entertainment. This is a great opportunity for an emerging engineer eager to grow their skills and make a real impact in a collaborative, data-driven environment.
 
 
 
 
 
 In this role, you will contribute to the development and optimization of data pipelines, transformations, and analytics infrastructure that power decision-making across the business. You&rsquo;ll work alongside senior engineers, data scientists, and analysts, gaining hands-on experience with modern cloud data platforms and growing into the kind of engineer who can one day lead complex, enterprise-scale data initiatives.
 
 
 
 
 
 We value diverse perspectives and welcome candidates who bring different experiences and approaches to solving data challenges.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Build, maintain, and optimize data pipelines and ETL/ELT workflows that move and transform data across cloud platforms including Azure and AWS.
 </li>
 <li>
 Write and tune complex SQL queries to support analytics, reporting, and data modeling needs.
 </li>
 <li>
 Participate in the design and implementation of data engineering infrastructure, learning standards from senior engineers and technical leads.
 </li>
 <li>
 Support data quality monitoring and validation efforts, helping to ensure the accuracy, completeness, and reliability of data products.
 </li>
 <li>
 Contribute to code reviews, testing, and documentation as part of a culture of engineering excellence.
 </li>
 <li>
 Collaborate with data scientists, analytics engineers, and business partners to understand data needs and deliver scalable solutions.
 </li>
 <li>
 Assist in the integration of AI and machine learning solutions into data workflows to improve efficiency and elevate the consumer experience.
 </li>
 <li>
 Develop familiarity with data governance principles, including metadata management and data lineage.
 </li>
 </ul>
 
 
 
 
 
 What You&rsquo;ll Bring
 
 
 <ul>
 <li>
 1&ndash;3 years of hands-on experience in data engineering, software engineering, or a related field &mdash; or equivalent demonstrated skills through internships, academic projects, or self-directed work.
 </li>
 <li>
 Solid foundation in SQL; experience writing queries to extract, transform, and analyze data.
 </li>
 <li>
 Exposure to at least one scripting language (Python preferred) for data manipulation, automation, or pipeline development.
 </li>
 <li>
 Familiarity with cloud-based data ecosystems (Azure, AWS, or GCP) and a curiosity to deepen that knowledge.
 </li>
 <li>
 Understanding of core data engineering concepts: ETL/ELT pipelines, data warehousing, and batch processing.
 </li>
 <li>
 Awareness of or interest in tools like DBT, Databricks, Airflow, Snowflake, or Kafka &mdash; experience with any is a plus.
 </li>
 <li>
 A self-starter mindset with genuine curiosity for solving unstructured data problems and working with large datasets.
 </li>
 <li>
 Familiarity with or curiosity about AI-enabled development tools (such as GitHub Copilot, Cursor, or similar coding assistants) and an interest in leveraging them to write better code, accelerate development, and improve engineering workflows.
 </li>
 <li>
 Strong written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
 </li>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Information Systems, or a related field, with equivalent experience accepted.
 </li>
 </ul>
 
 
 
 
 At Hasbro, we believe in the magic of diversity&mdash;great ideas come from unique perspectives. We are committed to building an inclusive, welcoming workplace where everyone belongs. Wizards is an equal opportunity employer and does not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, or any other legally protected status.
 
 
 
 
 
 Hasbro will provide reasonable accommodations with the application process, upon your request, as required to comply with applicable laws. If you have a disability and require assistance in this application process, please contact your recruiter or coordinator.
 
 
 
 
 
 The pay transparency range for this role is listed below. The hiring range will vary based on factors such as experience, skills, location and market conditions. Additionally, employees may be eligible for annual and long-term incentives as part of their overall compensation package.
 
 
 Pay Range: $108,300 USD - $162,500 USD
 
 
 
 
 
 Employees may be eligible for annual and long-term incentives as part of their overall compensation package, depending on role, location, and eligibility. Benefits and programs may include:
 
 <ul>
 <li>
 Health &amp; Wellness
 </li>
 <li>
 Time Off to Recharge
 </li>
 <li>
 Financial Well-being
 </li>
 <li>
 Life &amp; Family Support
 </li>
 <li>
 Volunteer and Community Initiatives
 </li>
 <li>
 Learning &amp; Development
 </li>
 <li>
 Exclusive Perks
 </li>
 </ul>
 
 
 
 
 Please review our Applicant Privacy Notice to learn how we collect, use, and protect your personal information in connection with the application process.
 
</div>

Data Engineer

Connie Health

<div>Description:

About Connie Health
Connie Health is a fast-growing Medicare brokerage on a mission to empower older Americans to make confident, worry-free Medicare plan decisions. We offer a tech-enabled Medicare navigation platform that combines an AI-driven technology with local Medicare experts to help people select optimal healthcare plans and navigate their benefits. Our culture is mission-driven, collaborative, and innovative, as we strive to transform healthcare through data-driven insights and personalized guidance. Our core values are Results-Oriented, Proactive, and Relationships First.
Role Overview
Connie Health is seeking an experienced Senior Analytics Engineer to own our data transformation layer end-to-end. You will provide clean, well-modeled, documented datasets that empower the entire company to answer their own questions, applying software engineering practices like version control, continuous integration, testing, and code review to our analytics codebase. Your work spans board-level book-of-business reporting, day-to-day stakeholder self-service through Looker, and AI-driven exploration through tools like Claude. This is a high-leverage role: the quality of our analytics, forecasts, and operating decisions all depend on the foundation you build. You will work closely with our data team and system owners across Engineering, Finance, and Operations to make sure data is trustworthy from source through dashboard.
This is a hybrid role, based out of our new Boston office near South Station.
What You&rsquo;ll Do<ul><li>
Own the policy dataset and its derived reporting (policy count, retention, effectuation, commission status, cohort analyses). Build the single source of truth that answers the full set of policy-related business questions, with clear naming conventions and documentation that lets stakeholders use it quickly.</li><li>
Partner with Engineering, Finance, and Operations to improve data quality at the source rather than cleaning it downstream. Catch issues before stakeholders find them in a broken chart.</li><li>
Build and maintain dbt models using a layered architecture, applying software engineering best practices including version control, continuous integration, automated testing, code review, and documentation. Treat the analytics codebase with the same rigor as production application code.</li><li>
Configure self-serve Looker models and curate the AI-ready dataset definitions stakeholders consume through Claude, so business users can answer their own questions with reliable, consistent results instead of waiting on a data team ticket.</li><li>
Engage early in new system implementations to ensure data is captured cleanly from day one and that reporting is ready when the system goes live, rather than retrofitted afterward.</li><li>
Manage multiple stakeholders and workstreams simultaneously, operating with the independence and judgment expected of a senior IC.</li></ul>
Requirements:

Minimum Qualifications<ul><li>
Bachelor&rsquo;s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field, or equivalent practical experience.</li><li>
5+ years of professional experience in analytics engineering, data engineering, or a closely related discipline.</li><li>
Deep, hands-on experience with dbt and strong data modeling practices, including applying software engineering principles to analytics code.</li><li>
Strong SQL skills and experience with cloud data warehouses (Redshift, Snowflake, BigQuery, or similar).</li><li>
A track record of normalizing and fixing messy datasets, both within the data layer and by working directly with the owners of the source data (Finance, Engineering, Operations, Marketing, etc.).</li><li>
A product mindset with the ability to tie technical work to user outcomes and business impact.</li><li>
Experience enabling self-service analytics for stakeholders through a BI tool, ideally Looker.</li><li>
Excellent problem-solving skills and the ability to work independently and collaboratively in a fast-paced environment.</li><li>
Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.</li></ul>
Preferred Qualifications<ul><li>
Experience modeling customer retention and lifecycle metrics across different use cases while ensuring all views tell a consistent story, ideally for a subscription business.</li><li>
Experience with LookML and Looker administration.</li><li>
Familiarity with Fivetran, Airflow, or similar data ingestion tooling.</li><li>
Experience preparing datasets for consumption by AI tools (semantic layers, dataset documentation, definitional consistency).</li><li>
Prior experience in the healthcare or insurance industry, particularly with Medicare.</li></ul>
Why Join Connie Health?<ul><li>
Great Culture.</li><li>
Comprehensive health insurance plans.</li><li>
Competitive salary and equity packages.</li><li>
Unlimited vacation policy and generous holiday observances.</li><li>
Monthly work from home stipend.</li><li>
The opportunity to be part of a values-driven and hardworking group of people.</li></ul>
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Senior Analytics Engineer

Innodata

<div><div>Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers.</div>
Scope of the Role:

At Innodata, we're partnering with the world's leading technology companies to build the future of generative AI and large language models (LLMs). We're on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program.

This is not a traditional full-time role. It's a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact&mdash;on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time.

You'll be helping LLMs learn the intricacies of language and reasoning&mdash;not just how to write, but how to think. If you've ever dreamed of shaping the intelligence behind tomorrow's technology, this is your chance.

This is more than just a gig&mdash;it's a rare chance to help shape the future of AI from anywhere in the world, on your own terms.

What You'll Own:
<ul>
<li>Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions.
</li><li>Labeling elements of a piece of content rather than the content as a whole.
</li><li>Assigning predefined categories or labels to items.
</li><li>Evaluating the perceived quality and/or appropriateness of content
</li><li>Generating labels to advance understanding of a concept, trend etc.
</li><li>Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity.
</li><li>Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines.
</li><li>Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content.</li>
<li>Ordering or ranking items based on a set of preferences or criteria.
</li><li>Creating prompts or questions that will be used to generate responses from a language model or other AI system.
</li><li>Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.).
</li><li>Generating responses to prompts or questions using a language model or other AI system.
</li><li>Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines.
</li><li>Producing concise summaries of longer pieces of text or data.
</li><li>Converting spoken language or audio content into written text.
</li><li>Converting text or spoken language from one language to another.
</li><li>Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content.</li>
</ul>
You'll Thrive in This Role If You Have:
<ul>
<li>A Bachelor's degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master's or PhD)</li>
<li>Professional or Expert level proficiency (C1/C2) in English</li>
</ul>
The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications.<div> 

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission's guide at https://consumer.ftc.gov/articles/job-scams.

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AI Data Specialist

Boston Public Health Commission

<div>The Information and Technology Services(ITS) department consists of 7 areas of support:
<ul><li>The Help Desk Team is the face of ITS. We handle all user-related technology support requests, equipment issue and replacement, and all desktop application installations.
</li><li>The Technology Services Team manages and maintains the network, servers and endpoints (desktops, laptops, printers, phones and smart phones, etc.). Our number one goal is to support the users and allow for a trouble-free experience by building and maintaining a secure, robust, reliable and redundant network. Our team strives to be responsive to support users and helping to fulfill the needs of all BPHC staff.
</li><li>The Enterprise Applications Team is the primary resource for the planning, development, implementation, support and backup of both internally and externally hosted data collection applications, databases and reporting tools for the Commission.
</li><li>The Informatics and Analytics Team works with programs and Bureaus to provide actionable data analysis, visualization, and reporting at the Commission. We use the latest innovations in automated reporting and electronic dashboards including R, Python, PowerBI, and ArcGIS to support population health monitoring and reporting for the City of Boston.
</li><li>The Information Security Team works with the BPHC community to secure system and network resources, and protect the confidentiality, integrity, availability of clients, and staff information.
</li><li>ITS Project Management provides staff with an overview of all active ITS Projects and includes information on project status, dependencies, project contacts and more. This also helps with the smooth execution of all ITS projects and unblock any blockers for the team members.
</li><li>Data Modernization Initiative: This program helps you in planning, designing and implementing Data Governance and data engineering which includes improving data quality, breaking data silos and increasing data sharing capabilities to build data lake, building the right data architecture for better analytics and reporting by using advanced tools and technology in cloud platforms.</li></ul> 
The Data Engineer Intern will support the Boston Public Health Commission Data Modernization Initiative (DMI), helping modernize public health data systems through cloud-based engineering, automation, and analytics solutions. The intern will gain hands-on experience designing and supporting scalable data pipelines, improving data quality and governance practices, and contributing to BPHC&rsquo;s secure cloud based Data Lake ecosystem. This internship provides exposure to real-world public health technology initiatives focused on interoperability, automation, near real-time reporting, and AI-ready data infrastructure. The intern will collaborate with data engineers, analysts, epidemiologists, and bureaus on projects that directly support public health decision-making for Boston residents. 
Key Responsibilities:
 
1. Assist in building, testing, and maintaining ELT data pipelines using cloud-based technologies
 
2. Support ingestion and integration of public health data from multiple data systems.
 
3. Contribute to the development and optimization of BPHC&rsquo;s Data Lake architecture.
 
4. Help automate data workflows and improve operational efficiency using scripting and orchestration tools.
 
5. Perform data validation, cleansing, transformation, and quality assurance activities.
 
6. Support development of dashboards, reports, and analytical datasets for public health programs.
 
7. Collaborate with cross-functional teams including informatics, enterprise applications, security and infrastructure teams.
 
8. Assist with troubleshooting pipeline failures, monitoring jobs, and improving system reliability.
 
9. Follow secure coding, documentation, and DevOps best practices within a regulated public health environment.
 
10. Perform data validation, transformation, and documentation activities while helping automate manual workflows and improve reliability of public health reporting processes.
 
11. Contribute to Agile ceremonies including sprint planning, standups, and retrospectives.
Preferred Technical Exposure
 
Microsoft Azure ecosystem (ADLS Gen2, Azure Data Factory, Azure SQL, Azure Functions)Python, SQL, or R for data engineering and automation.
 
GitHub, GitHub Actions, or other version control systems.
 
Power BI or other visualization/reporting tools.
 
APIs, data integration, and cloud-based data platforms.
 
Data governance, metadata management, or data quality practices
Learning Opportunities:
 
1. Hands-on experience working on a large-scale public health data modernization initiative.
 
2. Exposure to enterprise cloud technologies and secure data platforms.
 
3. Experience working in Agile and DevOps-driven environments.
 
4. Opportunity to contribute to AI-ready public health infrastructure and near real-time analytics initiatives.
 
5. Mentorship from experienced data engineering and public health technology leaders.
 
6. Meaningful work that supports public health outcomes for Boston communities.</div>
 <div>Knowledge of or willingness to learn about the role of public health in addressing racism, the social
 
determinants of health, and inequities in health outcomes as well as strategies to advance racial
 
justice and health equity. 
 
Commitment to health equity and racial/social justice issues 
1. Coursework in Computer Science, Data Engineering, or Public Health Informatics.
 
2. Basic knowledge of SQL or Python.
 
3. Strong analytical, problem-solving, and communication skills.
 
4. Interest in cloud technologies, data engineering, and public health innovation.
 
5. Ability to work independently and collaboratively in a team environment.
 
6. Eagerness to learn modern data engineering and DevOps practices</div>
 <div>The mission of the Boston Public Health Commission (BPHC) is to work in partnership with communities to protect and promote the health and well-being of all Boston residents, especially those impacted by racism and systemic inequities. The BPHC sets an expectation that all staff and leadership commit, individually and as part of the BPHC team, to hold ourselves accountable to establishing a culture of anti-racism and advance racial equity and justice through each of our bureaus, programs, and offices.</div>
 <div><ul><li>A Criminal Offenders Records Information request must be completed for this position. However, a record is not an automatic bar to employment but is reviewed in relation to the job applied for.
</li><li>Certain immunizations will be recommended and/or required prior to commencement of employment duties.
</li><li>Any position that requires an advanced degree will be subject to education verification.
</li><li>Certain positions at the BPHC may be Grant Funded.
</li><li>The Boston Public Health Commission is an EEO Employer and all applicants meeting the minimum requirements are eligible to apply.
</li><li>Certain positions at the BPHC may require Child Protective Service Background verification.
</li><li>The advertised shift and schedule are subject to change at the department's discretion.</li></ul></div>
 <div>20 hours per week</div>
 <div>$18 - $20 hourly</div>

Summer 2026 Data Engineer

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