Senior Cognitive/Machine Learning Engineer

Employment Type: Full-time

Location Type: Remote (Work-At-Home)

Salary: $129,300 - $177,800 per year

Position Overview: 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 ideal candidate will have a strong background in both traditional machine learning and emerging generative AI technologies. As a Senior Cognitive/Machine Learning Professional, 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:

• Education: 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.
• Programming: Proficiency in Python and data manipulation libraries (e.g., Pandas, NumPy).
• APIs: Familiarity with API frameworks (e.g., FastAPI, Flask) and RESTful API concepts.
• Machine Learning Frameworks: Strong understanding of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Cloud & Containerization: Familiarity with cloud platforms (e.g., AWS, Google Cloud, Azure) and containerization (e.g., Docker, Kubernetes).
• Version Control: 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.
• Knowledge of CI/CD pipelines.
• 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:

• 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 (25mbps download x 10mbps 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.

Compensation & Incentives:

• Scheduled Weekly Hours: 40
• Pay Range: $129,300 - $177,800 per year
• This job is eligible for a bonus incentive plan based on company and/or individual performance.