Senior Machine Learning Engineer - Machine Learning Infrastructure
FlipFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
A Bachelor's Degree in a quantitative discipline with at least 5 years of professional experience or a Master's Degree with at least 3 years is required, along with 5+ years developing Python-based applications for others using libraries like Pandas and NumPy.
Required skills include Python with Pandas/NumPy, API frameworks like FastAPI/Flask, ML frameworks such as TensorFlow/PyTorch/Scikit-learn, cloud platforms like AWS/Azure/Google Cloud, containerization with Docker/Kubernetes, CI/CD tools, and experience with Large Language Models.
This information is not specified in the job description.
This information is not specified in the job description.
Strong candidates have hands-on experience building production Python applications beyond modeling, expertise in generative AI with LLMs, data pipelines, APIs for RAG, containerization, and collaboration skills in a team environment.
Health insurance provider for seniors and military
Humana provides health and well-being services, focusing on Medicare Advantage plans for seniors, military personnel, and communities. Their plans include HMO, PPO, and PFFS options, designed to improve health outcomes through comprehensive and flexible coverage. Humana's revenue comes from government contracts and member premiums, and they aim to maintain high renewal rates by offering quality service and competitive benefits. The company stands out by fostering a culture of inclusivity and belonging among its employees, while also ensuring accessibility for all members, including offering free language interpreter services. Humana's goal is to deliver value to its members through an extensive provider network and innovative health solutions.