Senior Cognitive/Machine Learning Professional

San Antonio, Texas, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

HealthcareIndustries

Requirements

Candidates must hold a Bachelor’s degree in a quantitative discipline such as Computer Science, Mathematics, Statistics, or a related field, with a minimum of five years of professional experience; alternatively, a Master’s degree in a similar field with at least three years of relevant experience is required. Proficiency in Python and data manipulation libraries like Pandas and NumPy is necessary, along with familiarity with API frameworks such as FastAPI or Flask and RESTful API concepts. A strong understanding of machine learning frameworks including TensorFlow, PyTorch, and Scikit-learn is also required, as is experience with cloud platforms like AWS, Google Cloud, or Azure and containerization technologies like Docker and Kubernetes. Experience with version control systems like Git and adherence to software development best practices are essential.

Responsibilities

As a Senior Cognitive/Machine Learning Professional, the individual will 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, and design, develop, and maintain robust data pipelines for ingestion, processing, and transformation of large datasets. They will assist the 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, and stay up to date with the latest advancements in machine learning, generative AI, and related technologies.

Skills

Python

Pandas

NumPy

Machine Learning

Generative AI

Large Language Models

APIs

Retrieval-Augmented Generation

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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