Machine Learning Engineer
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.
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.