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A leading healthcare company is seeking a Machine Learning Engineer to design and implement innovative ML applications. The role involves collaboration with data scientists and product managers to ensure ML integration into products. Candidates should have strong Python skills and experience with cloud platforms like GCP. Competitive compensation and benefits offered.
We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on GCP and Vertex AI, as well as working with BigQuery and NoSQL databases like MongoDB.
Proven experience as a Machine Learning Engineer (3+ years) performing: Experience in software engineering with exposure to data models and GenAI applications; Hands-on experience with model evaluation, performance tracking, and automation; Familiarity with GenAI frameworks (LangChain, Hugging Face, etc.) and vector databases for RAG; and Understanding of machine learning fundamentals to integrate and monitor models effectively.
Proficiency in Python programming language
Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
Experience with data preprocessing, feature engineering, and model evaluation
Experience with cloud platforms (Google Cloud, Azure)
Understanding of machine learning concepts and workflows
Experience/knowledge of agentic workflows
Familiarity with Vertex AI & Azure OpenAI
Experience working with LLMs and RAGs
Knowledge of natural language processing (NLP)
Familiarity with big data technologies (Apache Spark, Ray, Dark)
Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
Familiarity with version control systems (e.g., Git)
Strong problem-solving skills and attention to detail
Ability to work collaboratively in a team environment
Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field
Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus
40
Full time
The typical pay range for this role is:
$92,700.00 - $222,480.00
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.
We take pride in our comprehensive and competitive mix of pay and benefits – 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:
Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan .
No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching.
Benefit solutions that address the different needs and preferences of our colleagues 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.
For more information, visit https://jobs.cvshealth.com/us/en/benefits
We anticipate the application window for this opening will close on: 11/04/2025
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.
We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.