[Remote] Machine Learning Engineer
Note: The job is a remote job and is open to candidates in USA. CVS Health is dedicated to building a more connected and compassionate health experience. They are seeking a Machine Learning Engineer to design and implement AI/ML applications, collaborating closely with data scientists and software engineers to ensure high performance and scalability of their products and services.
Responsibilities
- Design and implement robust AI/ML applications that drive innovation and business insights
- Collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into products and services, ensuring high performance and scalability
Skills
- 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
- Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field
- 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
- Relevant certifications (e.g., AWS Certified Data Analytics, Google Professional Data Engineer) are a plus
Benefits
- This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.
- 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.
Company Overview
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