Lead Data Science Engineer
Chicago, Oklahoma, United States of America
Full Time
1 week ago
$121,200 - $225,200 USD
Visa Sponsor
Key skills
ETLPythonAIMLRAGLangChainMLOpsLangGraphData EngineeringAnalyticsCommunication
About this role
Role Overview
- responsible for the engineering work necessary for successful creation, deployment and managing of AI capabilities of the Intelligent Delivery Platform
- ensuring data quality
- creation of new data pipelines
- optimization and management of existing data pipelines
- ingestion and curation of data sources for Gen AI purposes (including chunking/embedding strategies for RAG system)
- AI Agent delivery
- Prompt Engineering
- selection and configuration of AI-specific tools and platforms
- management and monitoring of AI models through MLOps tools and model ops practices
- operationalizing AI capabilities, working closely with larger team who will supplement where traditional application development support is needed
Requirements
- Bachelor degree and 5 years of work experience in a computer science, engineering, or related field OR Master’s degree and 4 years of work experience in a computer science, engineering, or related field OR Ph.D. and 2 years of work experience in a computer science, engineering, or related field
- Learning and growth mindset
- Customer-focused
- Interpersonal, verbal and written communication skills
- Must demonstrate proficiency in at least five and mastery in one of the following six areas: data analysis and relational-style query languages; data pipelining and ETL; working with semi structured and unstructured data; a high
- level programming language; distributed computing; understanding of healthcare
- Proficiency in iterative development practices
- Independently delivering or leading the delivery of data engineering solutions for multiple complex analytics or data science projects and products
- A track record of independently delivering or leading the delivery of ML engineering capabilities
- Experience in Python-based Data Science frameworks (LangChain, LangGraph, LangFuse)
- Experience in Model evaluation and deployment
- Experience in data curation, prep, training, and fine-tuning of Models
- Experience in evaluation frameworks
- Experience in prompt engineering
- Experience in working with multiple Models
Tech Stack
- ETL
- Python
Benefits
- health and wellness benefits
- 401(k) savings plan
- pension plan
- paid time off
- paid parental leave
- disability insurance
- supplemental life insurance
- employee assistance program
- paid holidays
- tuition reimbursement