Machine Learning Engineer

CareerCircle
Jersey City, NJ, United States
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
0 years minimum
Compensation
$111,240.0 - $222,480.0
Working hours
Regular working hours
Languages
English

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Automation of Tests Big Data BigQuery Cloud Engineering Software Quality Continuous Integration Data Cleansing Information Engineering Data Warehousing JavaScript Libraries
+20 more
Python (Programming Language) Knowledge Management Machine Learning Automation of Marketing Node.Js Program Analysis Recommender Systems Tensorflow Software Systems SQL Databases Management of Software Versions Reinforcement Learning Pytorch ReactJS Snowflake Agentic-AI Kubernetes Information Technology Machine Learning Operations Software Version Control

Job description

SQL (Programming Language) Software Quality (SQA/SQC) Snowflake (Data Warehouse) Machine Learning Frameworks Node.js (Javascript Library) React.js (Javascript Library) Python (Programming Language) Machine Learning Infrastructure PyTorch (Machine Learning Library) MLOps (Machine Learning Operations) Application Programming Interface (API), Collaborating closely with data science, data engineering, marketing, operations, and other cross-functional teams, you’ll architect, develop, deploy, and operationalize ML systems that transform first-party data and measurement signals into reliable decision engines - reducing cycle times, increasing impact, and enabling closed-loop, in-flight optimization. You will also continuously improve model deployment pipelines, strengthening ML infrastructure, and integrating emerging AI technologies into real business workflows. If you are excited by hard problems, large scale of data and systems, and shipping models that actually get used, this is the job.

What You’ll Do

  • Architect, design, build, and test end to end pipelines leveraging artificial intelligence, machine learning, reinforcement learning to drive Personalization and Marketing optimization and automation including customer targeting, content recommendation, frequency optimization,

propensity, uplift and LTV models etc.

  • Implement CICD for ML including automated testing, model versioning, monitoring, and

orchestration for models in production

  • Lead the design of Agentic AI solutions to marketing workflow automation, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.
  • Collaborate with Data Science, Engineering, and business teams to turn prototypes into production-ready solutions that meet business needs and drive measurable outcomes
  • Provide technical leadership on complex projects. Mentor other engineers and data scientists

in best practices, code quality, and scalable architecture. Influence our ML and data, Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. Related Jobs Practice Architect II AI/ML TEKsystems

Jersey City, NJ*Remote

Sales Operations Leadership Consulting Management Outsourcing Cloud Design Communication Prioritization Product Lining Problem Solving Solution Design Project Closure Customer Service English Language Project Planning Account Strategy Issue Management Program Analysis Analytical Skills Knowledge Transfer Business Valuation Resource Management Knowledge Management Project Stakeholders Escalation Procedures Business Requirements Business Intelligence Technology Strategies Full Stack Development Technical Requirements Change Control Process Internal Communications Business Transformation Employee Performance Management Project Initiation Documentation Project Management Professional Certification Project Management Institute (PMI) Methodology Project Management Body Of Knowledge (PMBOK) Methodology +0 Senior Machine Learning Engineer CVS Health

Requirements

BigQuery, Kubeflow Geography Marketing Automation Statistics Compassion TensorFlow Agentic AI Mathematics Scalability Data Science Communication Test Automation Decision Making Computer Science Causal Inference Machine Learning Data Engineering Influencing Skills Data Preprocessing Workflow Management Workflow Automation Software Versioning Time Off Management Technical Leadership Marketing Operations Loan-To-Value Ratios Full Stack Development Reinforcement Learning Marketing Optimization, * 3+ years of hands-on experience developing machine learning systems in productionenvironment

  • 3+ years of Python programming experience. Familiarity with ML frameworks (e.g., PyTorch, TensorFlow) and MLOps platforms (e.g., Kubeflow, Vertex)
  • 2+ years of SQL experience working with large-scale data (e.g., Snowflake, BigQuery)
  • 2+ years of leading design and architecture of new and existing system experience
  • Strong background in one or more of the following: reinforcement learning, causal inference, Agentic architecture
  • Experience as a mentor or tech lead
  • Ability to work and influence cross-functionally with strong communication skills
  • Solid backend engineering skills in Python, including APIs and data modeling

Preferred

  • Proficiency with full-stack framework (e.g, Node.js, React)
  • Experience with distributed modeling

Education

  • Bachelor’s degree in Computer Science, Engineering, Math, Statistics, or related field (or

equivalent experience)

  • Master’s degree preferred, Marketing Automation Statistics Compassion TensorFlow Agentic AI Mathematics Scalability Data Science Communication Test Automation Decision Making Computer Science Causal Inference Machine Learning Data Engineering Influencing Skills Data Preprocessing Workflow Management Workflow Automation Software Versioning Time Off Management Technical Leadership Marketing Operations Loan-To-Value Ratios Full Stack Development Reinforcement Learning Marketing Optimization Artificial Intelligence SQL (Programming Language) Software Quality (SQA/SQC) Snowflake (Data Warehouse) Machine Learning Frameworks Node.js (Javascript Library) React.js (Javascript Library) Python (Programming Language)

Benefits & conditions

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.

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.

Great benefits for great people

We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.

This full-time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well-being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.

About the company

We’re building a world of health around every individual - shaping a more connected, convenient and compassionate health experience. At CVS Health®, you’ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger - helping to simplify health care one person, one family and one community at a time.

At CVS Health, we’re reshaping the future of Personalization through AI-driven optimization and decision-making to better serve millions of customers nationwide. We’re looking for a Senior Machine Learning Engineer to help build and scale the next generation of data science and AI products in the journey. In this role, you’ll leverage your engineering background and expertise in ML to work on complex technical problems, build new features, and improve existing products. Your solutions will impact tens of millions of customers, influencing how they manage their health and everyday purchases.

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