Machine Learning Advisor – DS COE Advanced Analytics
The Cigna Group
full-time
Posted on:
Location Type: Hybrid
Location: Austin • Texas • United States
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About the role
- Leverage expertise in PySpark and MLlib to design and optimize scalable machine learning workflows on Databricks
- 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 for tasks such as summarization, text generation, and conversational AI
- Develop APIs for model serving using FastAPI
- Utilize AWS services for model deployment and orchestration
- Implement CI/CD pipelines for ML models using GitHub Actions or Jenkins
Requirements
- 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
Benefits
- Health insurance
- Retirement plans
- Paid time off
- Flexible work arrangements
- Professional development
- Equipment allowances
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
PySparkMLlibmachine learningsupervised learningunsupervised learningdeep learningfeature engineeringmodel trainingmodel inferenceAPI development
Soft skills
collaborationcommunication