Machine Learning Engineer for Data-Driven Solutions
1 week ago
About CVS Health
We are a leading health care company that puts our heart into caring for our colleagues and our communities. Our purpose is to bring enhanced human-centric health care for a rapidly changing world.
At CVS Health, we believe that every moment of your health matters. That's why we're committed to delivering innovative solutions that make health care more personal, convenient, and affordable.
Job Description
We're seeking a talented Machine Learning Engineer for Data-Driven Solutions to join our team. This role will involve working with different data from multiple sources in a distributed environment, creating solutions, optimizing workflows, and executing ML algorithms on large datasets.
Key Responsibilities:
- Data Analysis and Modeling: Lead the exploration, design, and execution of machine learning models and frameworks that deliver value to our users.
- Software Development: Work closely with data scientists, software developers, and product managers to take ML-powered services from inception to production.
- Data Pipelines and Engineering: Build data pipelines and leverage high-quality datasets to power your Machine Learning models.
- Model Deployment and Management: Utilize modern software and data-engineering stacks to enable training, deployment, and lifecycle management of ML models.
Requirements and Qualifications
- Experience: A combination of 5+ years of experience developing production-level software or contributing to open-source projects with one or more modern languages, such as Python, Java, etc.
- Machine Learning Skills: 3+ years of experience with common ML libraries (i.e., Scikit-learn, XGBoost, NumPy, Keras, PyTorch, etc.) and ML algorithms (i.e., clustering, decision trees, boosting, etc.).
- Data Engineering Skills: 3+ years of experience with developing analytical pipelines against Cloud Data Warehouses such as BigQuery, Snowflake, or Redshift.
- Communication Skills: 1+ year of soliciting complex requirements and managing relationships with key stakeholders.
- Project Management Skills: 1+ year of experience independently managing deliverables.
- Cloud Computing Skills: 1+ year of experience with open-source experience with either Docker or Kubernetes.
Education
Bachelor's Degree or equivalent work experience in Computer Science, Information Systems, Data Engineering, Data Analytics, Machine Learning, or related field required. Master's Degree preferred.
Compensation and Benefits
The estimated salary range for this role is $92,700 - $222,480 per year, depending on experience and qualifications. We offer a comprehensive benefits package, including medical, dental, and vision insurance, 401(k) retirement savings plan, Employee Stock Purchase Plan, term life insurance, short-term and long-term disability benefits, paid time off, and access to education assistance programs and development courses.
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