Machine Learning Engineer

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🔥 1 minute ago

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Logo of CVS Health

CVS Health

10,000+ employees

Founded 1963

🏥 Healthcare

⚕️ Healthcare Insurance

🛒 Retail

Healthcare • Healthcare Insurance • Retail

CVS Health is a leading American healthcare company dedicated to improving health access and affordability. The company focuses on a comprehensive approach that includes health services, health insurance, and pharmacy benefits management. Through its subsidiaries, such as Aetna and CVS Caremark, CVS Health offers a range of services that facilitate wellness, condition management, and affordable prescription drug coverage. CVS Health operates neighborhood pharmacies, provides mail-order pharmacy services, and manages specialty medication programs, aiming to make healthcare convenient and accessible for everyone. Driven by a mission to connect people with essential care services, CVS Health is committed to fostering healthier communities and supporting the wellbeing of all individuals.

📋 Description

• Design and implement robust AI/ML applications that drive innovation and business insights • Collaborate with data scientists, software engineers, and product managers • Integrate machine learning capabilities into products and services • Ensure high performance and scalability of ML applications

🎯 Requirements

• 1+ years of experience as a Machine Learning Engineer • Proficiency in Python • Experience with RDBMS and NoSQL databases, including MongoDB and BigQuery • Experience with data preprocessing, feature engineering, and model evaluation • Experience with cloud platforms, including Google Cloud and Azure • Understanding of machine learning concepts and workflows • Strong Python programming skills • Prior experience working with GCP and Vertex AI • Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field

🏖️ Benefits

• CVS Health bonus, commission or short-term incentive program in addition to base pay • Medical coverage • Dental coverage • Vision coverage • Paid time off • Retirement savings options • Wellness programs • Other resources supporting physical, emotional, and financial well-being • Comprehensive benefits package for colleagues and their families

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