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Lead Data Science Engineer

Job in Joliet, Will County, Illinois, 60432, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-14
Job specializations:
  • IT/Tech
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering, Data Science Manager
Salary/Wage Range or Industry Benchmark: 110000 - 170000 USD Yearly USD 110000.00 170000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • 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 (Lang Chain, Lang Graph, Lang Fuse)
  • 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
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