AI Machine Learning Engineer
Role details
Job location
Tech stack
Job description
CI/CD Tooling VS Code Terraform Operations Leadership Mentorship Code Review Scalability Micro Focus AWS Bedrock Data Science Underwriting Version Control Microsoft Azure Problem Solving Machine Learning Spring Framework Business Valuation Prompt Engineering Workflow Management Amazon Web Services Software Development REST API Development Technology Ecosystems Policy Administration Full Stack Development Command-Line Interface Artificial Intelligence Large Language Modeling Business Transformation Java (Programming Language) Life Insurance Underwriting Git (Version Control System) COBOL (Programming Language) Python (Programming Language) Artificial Intelligence Strategy Application Programming Interface (API), Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools. Related Jobs AI Machine Learning Engineer TEKsystems
Bloomington, IL*Remote
Linux CI/CD Tooling VS Code Terraform Operations Leadership Mentorship Code Review Scalability Micro Focus AWS Bedrock Data Science Underwriting Version Control Microsoft Azure Problem Solving Machine Learning Spring Framework Business Valuation Prompt Engineering Workflow Management Amazon Web Services Software Development REST API Development Technology Ecosystems Policy Administration Full Stack Development Command-Line Interface Artificial Intelligence Large Language Modeling Business Transformation Java (Programming Language) Life Insurance Underwriting Git (Version Control System) COBOL (Programming Language) Python (Programming Language) Artificial Intelligence Strategy Application Programming Interface (API) +0 Login | JoinContact
Requirements
The ideal candidate combines hands-on AI/ML development experience with a strong understanding of legacy environments, particularly mainframe and Micro Focus COBOL ecosystems. They will support and enhance existing AI-driven document summarization capabilities while helping define the next generation of underwriting and policy administration solutions.
They have very recently developed AI/ML workflows. Some of the APIs provide data and this side of AWS plus the prompt engineering side of it. Lambdas, Terraform code, API on data science side invoke the LLM. The LLM process joined with the prompts creates a summary of 2 pages and puts that back into the Java APIs.
This person will be mentoring and training on the AI strategy in this area for all of Life Underwriting
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Machine Learning Engineer with proven experience in legacy transformations (mainframe, Micro Focus COBOL, Linux)
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Experience working with or integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock, or similar)
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Experience with prompt engineering and fine-tuning techniques
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Solid understanding of legacy software development and deployment practices
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Strong proficiency in Linux, Java, Spring, Python, REST API development
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Solid understanding of modern software development workflows including CI/CD, version control (Git), and code review practices
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Familiarity with IDE ecosystems and developer tooling (e.g., VS Code extensions, CLI tools)
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Strong problem-solving skills and ability to work independently as well as collaboratively
Skills
Java, aws, terraform, artificial intelligence, machine learning, large language model, cobol
Additional Skills & Qualifications
Experience with Cobol and mainframe legacy applications / familiarity when modernizing platforms