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associate software engineer

machine learning engineer, public sector Jobs in New York

machine learning engineer, public sector

software development engineer Jobs in New York

software development engineer

machine learning engineer

Scale AI

<div></div><div><div><div>Equal opportunity employer</div></div><div></div><div><div>
Remote-friendly culture</div></div><div></div><div><div>
Competitive benefits package</div></div></div>
<br><div><p>The goal of a Machine Learning Engineer at Scale is to leverage techniques in the fields of generative AI, computer vision, reinforcement learning, and agentic AI to improve Scale's products and customer experience in production environments. Our machine learning engineers take advantage of robust internal infrastructure and unique access to massive datasets to deliver improvements to our customers.</p>
<div>
Our Public Sector Machine Learning team is focused on deploying cutting-edge models to mission-critical government systems through products like Donovan and Thunderforge. Our work spans multiple modalities, with a strong focus on both large language models and computer vision. On the LLM side, we are developing agentic systems that help solve complex operational and planning challenges for government partners. This includes building agent frameworks that integrate with custom retrieval pipelines and production APIs, as well as evaluation tools to benchmark and refine agent behavior. We're also advancing research in areas like reinforcement learning for agentic LLMs, with successful deployment into real-world operational environments. On the computer vision front, we're training advanced models to increase labeling throughput and automate perception tasks. Our efforts include building large-scale fine-tuning pipelines, training models across multiple modalities, and developing generalizable vision foundation models to support a wide range of defense applications.</div>
<h3 class="jobSectionHeader"><b>
You will:</b></h3>
<ul><li>Take state of the art models developed internally and from the community, use them in production to solve problems for our customers and taskers.</li>
<li>Improve and maintain production models through retraining, hyperparameter tuning, and architectural updates, while preserving core performance characteristics</li>
<li>Collaborate with product and research teams to identify and prototype ML-driven product enhancements, including for upcoming product lines</li>
<li>Work with massive datasets to develop both generic models as well as fine tune models for specific products</li>
<li>Build scalable machine learning infrastructure to automate and optimize our ML services</li>
<li>Serve as a cross-functional representative and advocate for machine learning techniques across engineering and product organizations</li>
<li>Be comfortable learning new technologies quickly and managing multiple priorities in a fast-paced environment</li>
<li><b>This role will require an active security clearance or the ability to obtain a security clearance.</b></li>
</ul><h3 class="jobSectionHeader"><b>Ideally You&rsquo;d Have:</b></h3>
<ul><li>Extensive experience using computer vision, deep learning and deep reinforcement Learning, or natural language processing in a production environment</li>
<li>Solid background in algorithms, data structures, and object-oriented programming</li>
<li>Strong programing skills in Python, experience in Tensorflow or PyTorch</li>
</ul><h3 class="jobSectionHeader"><b>Nice to Haves:</b></h3>
<ul><li>Graduate degree in Computer Science, Machine Learning or Artificial Intelligence specialization</li>
<li>Experience working with cloud platforms (eg. AWS or GCP) and deploying machine learning models in cloud environments</li>
<li>Experience with computer vision, generative AI models, large language models, or agentic systems</li>
<li>Familiarity with ML evaluation frameworks and agentic model design</li>
</ul><div><div><div><div><i>
Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You&rsquo;ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.</i></div></div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of San Francisco, New York, Seattle is:</div><div>
$208,000&mdash;$300,000 USD</div></div><div><div>
Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the locations of Washington DC, Texas, Colorado is:</div><div>
$187,000&mdash;$270,000 USD</div></div></div><div><div><b><i>
PLEASE NOTE: </i></b><i>Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.</i></div>
<div><b>
About Us:</b></div>
<div><i>
At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.</i></div>
<div><i>
We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.</i></div>
<div><i>
We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's </i><i>Know Your Rights poster</i><i> for additional information.</i></div>
<div><i>
We comply with the United States Department of Labor's </i><i>Pay Transparency provision</i><i>.</i></div>
<div><b><i>
PLEASE NOTE: </i></b><i>We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our </i><i>privacy policy</i><i> for additional information.</i></div></div></div>

Machine Learning Engineer, Public Sector

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>We are seeking a highly skilled Senior Machine Learning Engineer with expertise in Databricks to join our innovative team. The ideal candidate will be responsible for developing, fine-tuning, and managing machine learning models in a production environment while optimizing costs and performance on the Databricks platform.</div><div><br>
</div><div></div><br>
<ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement</li></ul><br>
<div><br>
</div><div>Roles &amp; Responsibilities
</div><ul><li>Develop and implement end-to-end machine learning solutions using Databricks, leveraging its Unified Analytics Platform
</li></ul><ul><li>Fine-tune and optimize machine learning models deployed in production environments
</li></ul><ul><li>Set up and manage automation processes for model training, evaluation, and deployment on Databricks
</li></ul><ul><li>Optimize Databricks cluster configurations and resource utilization to manage overall platform costs efficiently
</li></ul><ul><li>Collaborate with cross-functional teams to integrate ML solutions into existing products and workflows
</li></ul><ul><li>Implement best practices for version control, testing, and documentation of ML models and pipelines
</li></ul><ul><li>Monitor and analyze model performance, making data-driven decisions for continuous improvement
</li></ul><ul><li>Stay current with the latest advancements in machine learning and Databricks technologies
</li></ul>
<div></div><div>Salary Range-$110,000-$130,000 a year
</div>
<div><p>#LI-NR3</p>
<p><b>TCS Employee Benefits Summary:</b></p><br>
<p></p>
<ul><li>Discretionary Annual Incentive.</li>
<li>Comprehensive Medical Coverage: Medical &amp; Health, Dental &amp; Vision, Disability Planning &amp; Insurance, Pet Insurance Plans.</li>
<li>Family Support: Maternal &amp; Parental Leaves.</li>
<li>Insurance Options: Auto &amp; Home Insurance, Identity Theft Protection.</li>
<li>Convenience &amp; Professional Growth: Commuter Benefits &amp; Certification &amp; Training Reimbursement.</li>
<li>Time Off: Vacation, Time Off, Sick Leave &amp; Holidays.</li>
</ul>Legal &amp; Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing
</div></div></div></div><div><div><div><b>Location</b></div>
<div>New York, NY</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Engineer</div>
</div><div><div><b>Job Id</b></div>
<div>385812</div>
</div><div><div><b>Desired Skills</b></div>
<div>DevOps</div>
</div><div><div><b>Salary Range</b></div>
<div>$110,000-$130,000 a year</div></div></div></div><div></div>

Engineer

Wonder

<div><p><b>About Grubhub</b></p><p></p><p>
At Grubhub, we champion restaurants from coast to coast. Restaurants sit at the heart of communities. It&rsquo;s our mission to strengthen their roots, deepen their connections, and increase the positive impact they have on people and society.
</p><p></p><p>Grubhub, part of Wonder, delivers the best local, authentic cuisine right to diners&rsquo; doors&mdash;and new customers and billions in revenue to local businesses. Featuring over 375,000 merchants in over 4,000 cities nationwide, our innovative technology, user-friendly platforms, and streamlined delivery capabilities have made us an industry leader in the world of online food ordering.
</p><p></p><p>Since we opened our doors in 2004, Grubhub has been opening doors all across the country. Bakery doors in Hyde Park, jibarito joint doors in Queens, and doors of opportunity all across the country. Join our team and help us open more.</p><p></p><p><b>
About The Opportunity</b></p><p>
The Discovery Platform team is looking for an innately curious, business-minded, results-oriented backend Software Engineer to work in our Discovery and Ads teams. We are focused on providing high quality and highly relevant merchant and dish results and ads to users who are exploring restaurants and dishes either on home, search results, or other parts of the funnel serving discovery. As a member of this highly collaborative team you will partner with other engineers, data scientists, and the product team to build new features and improve the search platform, focusing on areas like query understanding, relevance, hybrid search, autocomplete and ads.</p><p></p><p><b>
The Impact You Will Make</b></p><ul><li><p>
Contribute to Development: Assist in the design and implementation of experimentation, MLOps and decision modeling pipelines that enable our data scientists to iterate on and deploy changes efficiently.</p></li><li><p>
System Monitoring &amp; Observability: Help implement monitoring frameworks to maintain system observability and quickly address any issues, contributing to minimizing SEV incidents.</p></li><li><p>
Platform Support: Contribute to platform improvements by exploring tools and integrations that enhance the data science workflow and ensure smooth integration with the GrubHub platform.</p></li><li><p>
Promote Engineering Standards: Collaborate with data scientists to implement best practices in coding, testing, and version control, contributing to the overall quality and reliability of our codebase.</p></li><li><p>
Documentation and Data Lineage: Assist in establishing processes for better data lineage, documentation, and ownership across datasets, reducing inconsistencies and promoting team autonomy.</p></li><li><p>
Data Versioning &amp; Model Management: Participate in the development of systems for data versioning, model management, and deployment strategies, ensuring models are manageable and easy to deploy.</p></li></ul><p></p><p><b>
What You Bring to the Table</b></p><ul><li><p>
Experience: 3+ years in software engineering with a focus on MLOps, Python, and cloud-based environments (AWS preferred). Proven experience in building and maintaining CI/CD pipelines, managing monorepos, and scaling machine learning models in production.</p></li><li><p>
Technical Expertise: Proficiency in Python, containerization, orchestration tools, and experience with data versioning and model management tools. Additional experience in Java is a plus. Front-end experience with Flask or React is a plus. Experience or knowledge of training, deploying and monitoring ML models is a plus.</p></li><li><p>
Problem Solving: Ability to address challenges related to system integration, data consistency, and infrastructure. Experience with distributed systems and microservices architecture is a plus.</p></li><li><p>
Collaboration: Strong communication skills, with the ability to work closely with data scientists, product managers, and other engineers. An emphasis on knowledge sharing and teamwork.</p></li><li><p>
Continuous Improvement: Passion for staying up-to-date with the latest trends in MLOps, machine learning, and software engineering, with a drive to continuously improve and innovate</p></li></ul><p></p><p>
Our hybrid model requires 3 days a week in the office. That said, many team members choose to come in more often to take advantage of in-person collaboration and connection. You're welcome&mdash;and encouraged&mdash;to be in the office up to 5 days a week if it works for you.</p><p></p><p>
#LI-Hybrid</p><p></p><p>
New York: $208,500 per year.</p><p></p><p>
Wonder uses geographic-specific salary structures, which means the salary offered may vary depending on where the job is located. The final salary offer will take into account various factors, such as the candidate's skills, education, training, credentials, and experience.</p><p></p><p><b>
Benefits</b></p><p></p><p>
We offer a competitive salary package including equity and 401K. Additionally, we provide multiple medical, dental, and vision plans to meet all of our employees' needs as well as many benefits and perks that are not listed.</p><p></p><p><b>
A Final Note</b></p><p></p><p>
At Wonder, we believe that in order to build the best team, we must hire using an objective lens. We are committed to fair hiring practices where we hire people for their potential and advocate for diversity, equity, and inclusion. As such, we do not discriminate or make decisions based on your race, color, religion, gender identity or expression, sexual orientation, national origin, age, military service eligibility, veteran status, marital status, disability, or any other protected class. If you have a disability, please let your recruiter know how we can make your interview process work best for you.</p><p></p><p><b>
We look forward to hearing from you! We'll contact you via email or text to schedule interviews and share information about your candidacy</b>.</p></div>

Sr Software Engineer - Backend

Amazon.com

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><div>
We are looking for a Software Development Engineer to help build and scale the infrastructure powering our agentic autonomous campaigns. In this role, you will design and implement core components of the agent execution engine, evaluation pipelines, and model tuning infrastructure that enable agents to reason, plan, and act across complex advertiser workflows. You will work closely with senior engineers and applied scientists to translate research prototypes into robust, high-performance production systems. You will need to dive deep into new technologies&mdash;such as LLM deployment frameworks, reinforcement learning infrastructure, and multi-step reasoning orchestration&mdash;and quickly apply them to solve real customer problems. You will own well-defined but often ambiguous technical problems, ensuring your solutions are scalable, reliable, and directly contribute to advertiser-facing products. This role is highly impactful: your contributions will form the backbone of the systems that deliver personalized, context-aware guidance to millions of advertisers. You will collaborate across science, product, and platform teams, and your work will focus on building resilient, observable, and maintainable systems that accelerate innovation in agent-based AI.<br>
<br>
Key job responsibilities<br>
<ul><li>Implement core services and APIs for agent orchestration, tool invocation, and state management.</li><li>Build scalable, reusable data and tool registry</li><li>Build components of evaluation pipelines (offline/online) for measuring reasoning quality, advertiser outcomes, and safety guardrails.</li><li>Develop infrastructure to support fine-tuning and reinforcement learning pipelines, collaborating with scientists to productionize workflows.</li><li>Ensure performance, scalability, observability, and maintainability through strong engineering practices.</li><li>Participate in system design, code reviews, and team architecture discussions.</li><li>Continuously learn and apply new techniques in agentic frameworks, distributed systems, and cloud-native development.</li></ul><br>
About the team<br>
The Sponsored Products and Brands team at Amazon Ads is re-imagining the advertising landscape through the latest generative AI technologies, revolutionizing how millions of customers discover products and engage with brands across Amazon.com and beyond. We are at the forefront of re-inventing advertising experiences, bridging human creativity with artificial intelligence to transform every aspect of the advertising lifecycle from ad creation and optimization to performance analysis and customer insights.<br>
We are a passionate group of innovators dedicated to developing responsible and intelligent AI technologies that balance the needs of advertisers, enhance the shopping experience, and strengthen the marketplace. If you're energized by solving complex challenges and pushing the boundaries of what's possible with AI, join us in shaping the future of advertising.<br>
The Autonomous Campaigns team within Sponsored Products and Brands is focused on guiding and supporting 1.6MM advertisers to meet their advertising needs of creating and managing ad campaigns. At this scale, the complexity of diverse advertiser goals, campaign types, and market dynamics creates both a massive technical challenge and a transformative opportunity: even small improvements in guidance systems can have outsized impact on advertiser success and Amazon&rsquo;s retail ecosystem.<br>
Our vision is to build a highly personalized, context-aware campaign creation and management system that leverages LLMs together with tools such as auction simulations, ML models, and optimization algorithms. This agentic framework, will operate across both chat and non-chat experiences in the ad console, scaling to natural language queries as well as proactively delivering guidance based on deep understanding of the advertiser. To execute this vision, we collaborate closely with stakeholders across Ad Console, Sales, and Marketing to identify opportunities&mdash;from high-level product guidance down to granular keyword recommendations&mdash;and deliver them through a tailored, personalized experience. Our work is grounded in state-of-the-art agent architectures, tool integration, reasoning frameworks, and model customization approaches (including tuning, MCP, and preference optimization), ensuring our systems are both scalable and adaptive.</div><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of non-internship professional software development experience</li><li>2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience</li><li>Experience programming with at least one software programming language</li><li>Experience with AI/ML technologies</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience</li><li>Bachelor's degree in computer science or equivalent</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<br>
<br>
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,300/year in our lowest geographic market up to $223,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.</div>

Software Development Engineer II, Sponsored Products Autonomous Campaigns

Stott and May

<div>
 <strong>
  Job Description
  <br/>
  <br/>
 </strong>
 <strong>
  Full-stack Software Engineer
  <br/>
  <br/>
 </strong>
 <strong>
  Location:
 </strong>
 NYC preferred (remote possible for exceptional candidates)
 <br/>
 <br/>
 <strong>
  Compensation:
 </strong>
 $175,000 - $250,000 &amp; equity
 <br/>
 <br/>
 Our client is a stealth startup building the world&rsquo;s first AI-powered community growth engine for consumer brands. The founding team comprises leaders from prominent fashion brands and a $ 1 billion+ AI startup. Backed by top angels and founders, they are gearing up for a major public launch.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and own core backend, frontend, and AI/ML components.
  </li>
  <li>
   Architect scalable systems to power AI-driven social commerce.
  </li>
  <li>
   Create novel AI user experiences beyond chatbots, agentic workflows, reporting tools, even voice interfaces.
  </li>
  <li>
   Collaborate directly with founders on product direction.
  </li>
  <li>
   Rapidly iterate, ship, and refine features with a scrappy mindset.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Who Are You:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Startup-minded, possibly a future founder.
  </li>
  <li>
   Interested in AI/ML, social commerce, and vertical AI.
  </li>
  <li>
   Relentless problem solver who makes things work.
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Why Join:
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Shape technical vision from the ground up.
  </li>
  <li>
   Work with cutting-edge AI and industry leaders.
  </li>
  <li>
   Competitive salary + meaningful equity.
   <br/>
   <br/>
  </li>
 </ul>
 Interested? Please share an updated copy of your resume to learn more.
</div>


Software Engineer

Cognizant Technology Solutions

<div><p>At Cognizant, our global community sets us apart&mdash;an energetic, collaborative and inclusive workplace where everyone can thrive. And with projects at the forefront of innovation, you can build a varied, rewarding career and draw inspiration from dedicated colleagues and leaders. Cognizant is right where you belong. If you meet our background requirements and skills and are looking for an opportunity with these skills and expertise, here is the ideal opportunity for you!</p><p>
Cognizant Technology Solutions is looking for a AGENTIC AI DEVELOPER to join our dynamic team. Collaborate with cross-functional teams to drive innovation and deliver impactful solutions that align with our company&rsquo;s goals.</p><p></p><p><b>
Role:</b> AGENTIC AI DEVELOPER</p><p>
Applications will be accepted until Dec 31, 2025</p><p></p><p><b>
Location: </b>Candidates will need to work out of the Client&rsquo;s office in NJ/NY or Dallas, TX. This is a completely Remote role for candidates based in rest of US.</p><p></p><p><b>
About this Team and Role</b></p><p></p><p>
In this role, you will be responsible for launching and implementing GenAI agentic solutions aimed at reducing the risk and cost of managing large-scale production environments with varying complexities. You will address various production runtime challenges by developing agentic AI solutions that can diagnose, reason, and take actions in production environments to improve productivity and address issues related to production support.</p><p><b>
</b></p><p><b>What you&rsquo;ll do:</b></p><p></p><ul><li>Build agentic AI systems: Design and implement tool-calling agents that combine retrieval, structured reasoning, and secure action execution (function calling, change orchestration, policy enforcement) following MCP protocol. Engineer robust guardrails for safety, compliance, and least-privilege access.</li><li>Productionize LLMs: Build evaluation framework for open-source and foundational LLMs; implement retrieval pipelines, prompt synthesis, response validation, and self-correction loops tailored to production operations.</li><li>Integrate with runtime ecosystems: Connect agents to observability, incident management, and deployment systems to enable automated diagnostics, runbook execution, remediation, and post-incident summarization with full traceability.</li><li>Collaborate directly with users: Partner with production engineers, and application teams to translate production pain points into agentic AI roadmaps; define objective functions linked to reliability, risk reduction, and cost; and deliver auditable, business-aligned outcomes.</li><li>Safety, reliability, and governance: Build validator models, adversarial prompts, and policy checks into the stack; enforce deterministic fallbacks, circuit breakers, and rollback strategies; instrument continuous evaluations for usefulness, correctness, and risk.</li><li>Scale and performance: Optimize cost and latency via prompt engineering, context management, caching, model routing, and distillation; leverage batching, streaming, and parallel tool-calls to meet stringent SLOs under real-world load.</li><li>Build a RAG pipeline: Curate domain-knowledge; build data-quality validation framework; establish feedback loops and milestone framework maintain knowledge freshness.</li><li>Raise the bar: Drive design reviews, experiment rigor, and high-quality engineering practices; mentor peers on agent architectures, evaluation methodologies, and safe deployment patterns</li><li>Role Requirements: understand what skills, experience, and qualities you are looking for.</li></ul><p></p><p><b>
ESSENTIAL SKILLS</b></p><p><b>
</b></p><ul><li>5+ years of software development in one or more languages (Python, C/C++, Go, Java); strong hands-on experience building and maintaining large-scale Python applications preferred.</li><li>3+ years designing, architecting, testing, and launching production ML systems, including model deployment/serving, evaluation and monitoring, data processing pipelines, and model fine-tuning workflows.</li><li>Practical experience with Large Language Models (LLMs): API integration, prompt engineering, fine-tuning/adaptation, and building applications using RAG and tool-using agents (vector retrieval, function calling, secure tool execution).</li><li>Understanding of different LLMs, both commercial and open source, and their capabilities (e.g., OpenAI, Gemini, Llama, Qwen, Claude).</li><li>Solid grasp of applied statistics, core ML concepts, algorithms, and data structures to deliver efficient and reliable solutions.</li><li>Strong analytical problem-solving, ownership, and urgency; ability to communicate complex ideas simply and collaborate effectively across global teams with a focus on measurable business impact.</li><li>Preferred: Proficiency building and operating on cloud infrastructure (ideally AWS), including containerized services (ECS/EKS), serverless (Lambda), data services (S3, DynamoDB, Redshift), orchestration (Step Functions), model serving (SageMaker), and infra-as-code (Terraform/CloudFormation).</li></ul><p></p><p><b>
Competencies:</b></p><ul><li>Ownership and Accountability</li><li>Autonomy</li><li>High Level of Integrity</li><li>Clear Communication</li><li>Creative Problem Solver</li></ul><p></p><p><b>
Salary and Other Compensation:</b></p><p>
The annual salary for the position depends on experience and other qualifications of the successful candidate and is between $95,000/year - $130,000/year. This position is also eligible for Cognizant&rsquo;s discretionary annual incentive program, based on performance and subject to the terms of Cognizant&rsquo;s applicable plans.</p><p></p><p><b>
Work Authorization:</b><br>
Cognizant will only consider applicants for this position who are legally authorized to work in the United States without company sponsorship</p><p>
</p><p><b>Benefits</b>: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:</p><ul><li><p>
Medical/Dental/Vision/Life Insurance</p></li><li><p>
Paid holidays plus Paid Time Off</p></li><li><p>
401(k) plan and contributions</p></li><li><p>
Long-term/Short-term Disability</p></li><li><p>
Paid Parental Leave</p></li><li><p>
Employee Stock Purchase Plan</p></li></ul><p>
#LI-SA1</p><p><b>
Disclaimer: </b>The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law</p></div>

Senior Agentic AI Developer

CVS Health

<div><p>At CVS Health, we&rsquo;re building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care.</p><p></p><p>
As the nation&rsquo;s leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues &ndash; caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day.</p><p></p><p><b>
Position Summary</b></p><p><br>
We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions.</p><p></p><p>
You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are:</p><ul><li><p>
Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources.</p></li><li><p>
Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries.</p></li><li><p>
Data Quality &amp; Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access.</p></li><li><p>
Data Modeling &amp; Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements.</p></li><li><p>
Data Integration &amp; Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models</p></li><li><p>
Documentation &amp; Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes.</p></li></ul><p><b>
Required Qualifications</b></p><ul><li><p>
2+ years of applicable work experience</p></li><li><p>
Proficiency in Python, specifically with ETL pipelines</p></li><li><p>
Strong proficiency in SQL and experience in developing complex queries</p></li><li><p>
Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP)</p></li><li><p>
Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts.</p></li></ul><p><b><br>
Preferred Qualifications</b></p><ul><li><p>
Experience working with healthcare data, especially Epic.</p></li><li><p>
Experience using GCP&rsquo;s BigQuery</p></li><li><p>
Knowledge of data governance best practices in a cloud environment.</p></li><li><p>
Experience working with Machine Learning processes.</p></li></ul><p><b><br>
Education</b><br>
College degree or certification in related fields</p><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$64,890.00 - $173,040.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in our comprehensive and competitive mix of pay and benefits &ndash; investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include:</p><ul><li><p><b>
Affordable medical plan options,</b> a <b>401(k) plan </b>(including matching company contributions), and an <b>employee stock purchase plan</b>.</p></li><li><p><b>
No-cost programs for all colleagues </b>including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.</p></li><li><p><b>
Benefit solutions that address the different needs and preferences of our colleagues</b> including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility.</p></li></ul><p></p><p>
For more information, visit https://jobs.cvshealth.com/us/en/benefits</p><p></p>
We anticipate the application window for this opening will close on: 01/09/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Analytic Data Engineer

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