Machine Learning Engineer

Posted Yesterday
Home Place, IN, USA
In-Office
65K-130K Annually
Junior
Fitness • Healthtech • Retail • Pharmaceutical
The Role
Design and implement scalable ML applications, collaborate with data scientists and engineers, perform data preprocessing, feature engineering and model evaluation, and deploy models using GCP/Vertex AI with BigQuery and NoSQL databases like MongoDB.
Summary Generated by Built In

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.

Position Summary
We are seeking a Machine Learning Engineer to design and implement robust AI/ML 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.
Required Qualifications
- Proven experience as a Machine Learning Engineer (1+ years)
- 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
Preferred Qualifications
- Familiarity with Vertex AI & Azure OpenAI
- Experience working with LLMs and RAGs in a production environment
- Knowledge of natural language processing (NLP)
- Experience working with Kubernetes (GKE), Docker, and or DataFlow
- Familiarity with big data technologies (Apache Spark, Ray, Dask)
- 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
Education- 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

Anticipated Weekly Hours

40

Time Type

Full time

Pay Range

The typical pay range for this role is:

$64,890.00 - $129,780.00

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.

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.


Additional details about available benefits are provided during the application process and on
Benefits Moments.

We anticipate the application window for this opening will close on: 06/25/2026

Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.

Skills Required

  • Proven experience as a Machine Learning Engineer (1+ years)
  • Proficiency in Python programming
  • Experience with Google Cloud Platform (GCP)
  • Experience with Vertex AI
  • Experience with BigQuery
  • Experience with RDBMS and NoSQL databases (e.g., MongoDB)
  • Experience with data preprocessing, feature engineering, and model evaluation
  • Experience with cloud platforms (Azure)
  • Understanding of machine learning concepts and workflows
  • Bachelor's degree in Computer Science, Engineering, Information Technology, or related field
  • Familiarity with Azure OpenAI
  • Experience working with LLMs and RAGs in production
  • Knowledge of natural language processing (NLP)
  • Experience with Kubernetes (GKE), Docker, and/or DataFlow
  • Familiarity with big data technologies (Apache Spark, Ray, Dask)
  • Experience with streaming data technologies (Apache Kafka, PubSub)
  • Familiarity with version control systems (Git)
  • Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer)
  • Strong problem-solving skills and attention to detail
  • Ability to work collaboratively in a team environment
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The Company
HQ: Woonsocket, RI
119,959 Employees
Year Founded: 1963

What We Do

CVS Health is the leading health solutions company that delivers care in ways no one else can. We reach people in more ways and improve the health of communities across America through our local presence, digital channels and our nearly 300,000 dedicated colleagues – including more than 40,000 physicians, pharmacists, nurses and nurse practitioners. Wherever and whenever people need us, we help them with their health – whether that’s managing chronic diseases, staying compliant with their medications, or accessing affordable health and wellness services in the most convenient ways. We help people navigate the health care system – and their personal health care – by improving access, lowering costs and being a trusted partner for every meaningful moment of health. And we do it all with heart, each and every day.

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