What are the responsibilities and job description for the AI Machine Learning Engineer position at Haystack?
We are working with a leading enterprise insurance company at the forefront of digital transformation, leveraging cutting-edge technology to innovate within a traditionally complex sector.
The Role
The Role
- Lead the transformation of legacy insurance platforms, bridging modern AI/ML technologies with existing systems.
- Develop and enhance AI-driven document summarization capabilities and define next-generation underwriting solutions.
- Serve as a technical lead, mentor, and modernization strategist, guiding the adoption of AI strategy.
- Hands-on development of AI/ML workflows, including prompt engineering, using AWS services and LLMs.
- Mentor and train teams on AI strategy within Life Underwriting.
- Focus on modernizing mainframe and Micro Focus COBOL ecosystems into scalable AI-enabled solutions.
- Proven experience as a Machine Learning Engineer with a background in legacy transformations (mainframe, Micro Focus COBOL, Linux).
- Experience integrating AI/ML tools, APIs, or platforms (e.g., OpenAI API, Azure AI, AWS Bedrock).
- Strong proficiency in prompt engineering and fine-tuning techniques for Large Language Models.
- Solid understanding of modern software development practices including CI/CD, Git, and REST API development.
- Expertise in Linux, Java, Spring, and Python.
- Familiarity with IDE ecosystems and developer tooling.
- Opportunity to drive significant technological change within a large enterprise.
- Competitive hourly rate between $50 and $70.
- Comprehensive benefits package including medical, dental, vision, 401(k), and more.
- A fully remote work environment offering flexibility.
Salary : $50 - $70