Senior Cognitive/Machine Learning Engineer

Humana Inc; Oregon (IL); Remote; USD 129,000 - 178,000; Full time

Job summary

A leading healthcare company seeks a Senior Cognitive/Machine Learning Engineer to drive AI-powered innovations. This role involves collaboration on large datasets, implementing generative AI technologies, and developing APIs, all while making a significant impact on health services. Ideal candidates will have extensive experience in Python and machine learning frameworks. Join us to put health first and benefit from a supportive work environment with competitive compensation.

Qualifications

• 5+ years of Python application development experience.
• Experience with containerization (Docker, Kubernetes).
• Familiarity with cloud platforms (AWS, Google Cloud).

Responsibilities

• Develop innovative AI-powered solutions and APIs.
• Collaborate on data pipelines and machine learning models.
• Stay updated with advancements in machine learning and AI.

Skills

Python

Generative AI

Data Manipulation

API Development

Machine Learning Frameworks

Education

Bachelor's Degree in Computer Science, Mathematics, or related field

Master's Degree in similar field

Tools

Docker

Kubernetes

AWS

TensorFlow

PyTorch

Scikit-learn

Job description

Job Profile

Senior Cognitive/Machine Learning Professional

Job Level

Senior Professional

Become a part of our caring community and help us put health first

We are seeking a talented and motivated Senior Cognitive/Machine Learning Engineer to join our dynamic team. The traditional candidate will have a strong background in both traditional machine learning and emerging generative AI technologies.

As a Senior 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 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 3 years of relevant experience.

• 5+ 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).

• 2+ years of experience with CI/CD tools, pipelines

• Experience working with Large Language Model (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).

Work-At-Home Requirements

• WAH requirements: Must have the ability to provide a high-speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense.

• A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required.

• Satellite and Wireless Internet service is NOT allowed for this role.

• 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

The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc.$129,300 - $177,800 per yearThis job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.

Referral Bonus Information

This requisition is not eligible for a referral bonus.Application Deadline: 06-26-2025

About us

Humana Inc. (NYSE: HUM) is committed to putting health first – for our teammates, our customers and our company. Through our Humana insurance services and CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare, Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity Employer

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.