Humana

Sr Data Engineer - AI

San Antonio, Texas, United States

Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Health Insurance, AI, AI & Machine LearningIndustries

Requirements

Candidates must possess a Bachelor's degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics, or a Master's degree in a similar field, with a minimum of 5 years of professional experience. Required skills include 7+ years of Python application development, familiarity with API frameworks and RESTful API concepts, strong understanding of machine learning frameworks, 3+ years of experience with containerization (Docker, Kubernetes), CI/CD tools, PySpark, and 2+ years of cloud platform experience (Azure, GCP, AWS). Highly desired qualifications include experience with Large Language Models (LLMs) in application development, version control systems (Git), generative AI frameworks (Langchain, Pydantic AI), deep learning techniques, NoSQL databases, natural language processing (NLP), and big data/data streaming technologies (Hadoop, Spark, Kafka). A high-speed DSL or cable modem internet connection (25mbps download/10mbps upload) is required for remote work, excluding satellite and wireless internet.

Responsibilities

The Senior Data Engineer will build the Agentic AI platform and deliver AI-powered solutions using large-scale datasets and state-of-the-art tools. Responsibilities include exploring and implementing generative AI technologies with Large Language Models, building and maintaining robust APIs for Retrieval-Augmented Generation and generative AI agents, designing and developing data pipelines for ingestion, processing, and transformation, and assisting the data science team with traditional machine learning model development and deployment. The role also involves collaborating with data scientists, monitoring and maintaining performance and reliability of deployed assets, and staying updated with advancements in AI and machine learning.

Skills

Python
Pandas
NumPy
API development
FastAPI
Flask
RESTful APIs
Machine Learning
TensorFlow
PyTorch
Scikit-learn
Docker
Kubernetes
Generative AI
Large Language Models
Data Pipelines
Data Ingestion
Data Processing
Data Transformation
Retrieval-Augmented Generation

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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