HIH - Machine Learning Sr Analyst
Posted Updated
Description
Machine Learning Senior Analyst - HIH - Evernorth
Position Overview
As a Machine Learning Engineer, you will leverage your expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on Databricks. You ll work closely with data scientists and product teams to build robust ML pipelines that support advanced analytics and generative AI applications.
Responsibilities
- Apply advanced ML techniques including supervised, unsupervised, and deep learning using PySpark, MLlib, and PyTorch.
- Design and monitor end-to-end ML workflows in Databricks, including feature engineering, model training, and inference.
- Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.
- Integrate Generative AI models (e.g., GPT, Claude) for tasks such as summarization, text generation, and conversational AI.
- Develop APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference.
- Utilize AWS services (S3, Lambda, SageMaker, EC2) for model deployment and orchestration.
- Implement CI/CD pipelines for ML models using GitHub Actions or Jenkins.
- Apply advanced ML techniques including supervised, unsupervised, and deep learning using PySpark, MLlib, and PyTorch.
- Design and monitor end-to-end ML workflows in Databricks, including feature engineering, model training, and inference.
- Collaborate with cross-functional teams to translate business requirements into scalable ML solutions.
- Integrate Generative AI models (e.g., GPT, Claude) for tasks such as summarization, text generation, and conversational AI.
- Develop APIs for model serving using FastAPI, supporting synchronous, asynchronous, and streaming inference.
- Utilize AWS services (S3, Lambda, SageMaker, EC2) for model deployment and orchestration.
- Implement CI/CD pipelines for ML models using GitHub Actions or Jenkins.
Qualifications
Required Experience
- 3-5 years of relevant experience
- Strong proficiency in PySpark and distributed data processing.
- Experience with Databricks and MLlib.
- Familiarity with deep learning frameworks like PyTorch.
- Solid understanding of cloud-based ML deployment (AWS preferred).
- API development experience with FastAPI.
- 3-5 years of relevant experience
- Strong proficiency in PySpark and distributed data processing.
- Experience with Databricks and MLlib.
- Familiarity with deep learning frameworks like PyTorch.
- Solid understanding of cloud-based ML deployment (AWS preferred).
- API development experience with FastAPI.
Required Education
- Bachelors or Masters (Preferred) in statistics, computer science or equivalent field
- Bachelors or Masters (Preferred) in statistics, computer science or equivalent field
Location Hours of Work
- Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
- Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
Equal Opportunity Statement
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
- Full-time position, working 40 hours per week. Expected overlap with US hours as appropriate
- Primarily based in the Innovation Hub in Hyderabad, India in a hybrid working model (3 days WFO and 2 days WAH)
Equal Opportunity Statement
Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.
About Evernorth Health Services
Evernorth Health Services, a division of The Cigna Group, creates pharmacy, care and benefit solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of illness and disease more accessible to millions of people. Join us in driving growth and improving lives.
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