Machine Learning Engineer

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

Requirements:

• 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