Cognitive/Machine Learning Lead

Employment Type: Full time Location Type: [Not Specified] Salary: [Not Specified]

Position Overview

Become a part of our caring community and help us put health first. The Cognitive/Machine Learning Lead leverages large sets of structured and unstructured data to develop tactical and strategic insights. The Cognitive/Machine Learning Lead works on problems of diverse scope and complexity ranging from moderate to substantial.

As a Lead Cognitive/Machine Learning Engineer, you will play a key role in developing and deploying innovative AI-powered solutions, working with large-scale datasets and cutting-edge tools to solve complex business challenges. You will collaborate closely with data scientists and fellow engineers, contributing to the entire AI development lifecycle from data ingestion to software deployment and monitoring.

Key Responsibilities

• Explore and implement generative AI technologies using Large Language Models and other generative models to create innovative solutions.
• Build and maintain robust APIs for enabling Retrieval-Augmented Generation and generative AI agents within business use cases.
• Design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets.
• Assist our data science team in the development and deployment of traditional machine learning models.
• Collaborate with data scientists to understand model requirements and translate them into scalable engineering solutions.
• Monitor and maintain the performance and reliability of deployed APIs, models, and data pipelines.
• Stay up to date with the latest advancements in machine learning, generative AI, and related technologies.
• Use your skills to make an impact.

Required Qualifications

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Mathematics, Statistics, or a related field) with a minimum of 5 years of professional experience; OR Master's Degree in a similar field with at least 5 years of relevant experience.
• 7+ years of Python application development and data manipulation libraries (e.g., Pandas, NumPy).
• Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
• Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure).
• 3+ years of experience with containerization (e.g., Docker, Kubernetes).
• 3+ years of experience with CI/CD tools and pipelines.
• Experience working with Large Language Models (LLM) in application development.
• Experience with version control systems (e.g., Git) and software development best practices.

Preferred Qualifications

• Excellent problem-solving skills and ability to work in a collaborative environment.
• Knowledge of generative AI frameworks such as Langchain or Pydantic AI.
• Experience deploying software using tools like Docker and Kubernetes.
• Experience with deep learning techniques and frameworks.
• Knowledge of natural language processing (NLP).
• Familiarity with big data technologies (e.g., Hadoop, Spark).

Additional Information

Internet Service Requirements for Remote Employees: To ensure Home or Hybrid Home/Office employees’ ability to work effectively, the self-provided internet service of Home or Hybrid Home/Office employees must meet the following criteria:

• At minimum, a download speed of 25 Mbps and an upload speed of 10 Mbps is required.
• Wireless, wired cable, or DSL connection is suggested.
• Satellite, cellular, and microwave connections can be used only if approved by leadership.

Internet Expense Reimbursement: Employees who live and work from Home in the states of California, Illinois, Montana, or South Dakota will be provided a bi-weekly payment for their internet expense.

Equipment: Humana will provide Home or Hybrid Home/Office employees with telephone equipment appropriate to meet the business requirements for their position/job.

Work Environment: Work from a dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information.

Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.

Scheduled Weekly Hours: 40 Pay Range: [Not Specified]