Cognitive Machine Learning Professional

Kentucky, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Candidates must have a Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field, with 1-5 years of professional experience in developing insights from large datasets. Proficiency in Python and data manipulation libraries like Pandas and NumPy is required, along with familiarity with API frameworks such as FastAPI or Flask and RESTful API concepts. A strong understanding of machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn is necessary, as is familiarity with cloud platforms (AWS, Google Cloud, Azure) and containerization tools (Docker, Kubernetes). Experience with Git and software development best practices is also essential. Preferred qualifications include knowledge of generative AI frameworks like Langchain or Pydantic AI, experience with CI/CD pipelines, deep learning techniques, NLP, and big data technologies such as Hadoop or Spark.

Responsibilities

The Cognitive Machine Learning Professional will explore and implement generative AI technologies, including Large Language Models, to create innovative solutions. They will build and maintain robust APIs for Retrieval-Augmented Generation and generative AI agents, and design, develop, and maintain data pipelines for large datasets. Responsibilities also include assisting in the development and deployment of traditional machine learning models, collaborating with data scientists to translate model requirements into engineering solutions, and monitoring the performance and reliability of deployed APIs, models, and data pipelines. Staying current with advancements in machine learning and generative AI is also a key duty.

Skills

Generative AI

Large Language Models

Machine Learning

Python

Pandas

NumPy

API Development

FastAPI

Flask

RESTful APIs

Data Pipelines

Data Ingestion

Data Processing

Data Transformation

Model Deployment

Model Monitoring

Humana

Health insurance provider for seniors and military

About Humana

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.

Louisville, KentuckyHeadquarters

1961Year Founded

IPOCompany Stage

Social Impact, HealthcareIndustries

10,001+Employees

Risks

Potential over-reliance on AI could disrupt operations if systems fail or are compromised.

Rising medical costs and tightening Medicare reimbursements may strain financial performance.

Leadership change with new CEO Jim Rechtin could lead to strategic disruptions.

Differentiation

Humana is a leader in Medicare Advantage plans, focusing on seniors and military personnel.

The company emphasizes inclusivity, offering free language interpreter services for accessibility.

Humana leverages AI and cloud technologies through a partnership with Google Cloud.

Upsides

Humana's investment in Healthpilot enhances digital enrollment for Medicare options.

The company is the first insurer to cover TMS therapy for adolescent depression.

Humana's focus on value-based care aims to improve outcomes for kidney disease patients.

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