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Summary

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

Qualifications

+ 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

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we’re dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

_Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws._

_If you require reasonable accommodation in completing the online application process, please email:_ [email protected]_ _for support. Do not email_ [email protected]_ _for an update on your application or to provide your resume as you will not receive a response._

_The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State._

_Qualified applicants with criminal histories will be considered for employment in a manner_ _consistent with all federal, state and local ordinances._