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 Master's Degree and 3+ years of experience in research/ML engineering or an applied research scientist position, preferably focused on production-ready AI solutions, are required. Additional requirements include experience with Agentic AI System Design, collaborating with MLOps and DevOps teams, and proficiency in SQL, Python, and data analysis/data mining tools, along with experience with machine learning frameworks like Scikit-learn.
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The team is a rapidly expanding group of dedicated data scientists, engineers, policy experts, and business leaders collaborating to build impactful AI systems. It emphasizes fostering collaboration among data scientists, software engineers, and key stakeholders to deliver business value.
Highlight experience developing production-ready AI solutions, Agentic AI System Design using frameworks like LangChain, proficiency in Python and SQL, collaboration with MLOps/DevOps teams, and work with generative models or computer vision.
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.