What are the responsibilities and job description for the AI/ML Developer position at Jobs via Dice?
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Title: AI/ML Developer – (4–7 years of experience)
Location: Remote, but candidates must be local to San Francisco, CA; Arlington, VA; Westminster, CO; Chicago, IL; Boston, MA; Birmingham, MI; Houston, TX; Atlanta, GA; Miami, FL; New York, NY; Minneapolis, MN; Los Angeles, CA; Seattle, WA; Dallas/Irving, TX; or Irvine, CA. Candidates must also be willing to attend the final interview onsite and be available to work onsite if converted to a permanent role.
Duration: 6 months from the start date
Industry Experience
Title: AI/ML Developer – (4–7 years of experience)
Location: Remote, but candidates must be local to San Francisco, CA; Arlington, VA; Westminster, CO; Chicago, IL; Boston, MA; Birmingham, MI; Houston, TX; Atlanta, GA; Miami, FL; New York, NY; Minneapolis, MN; Los Angeles, CA; Seattle, WA; Dallas/Irving, TX; or Irvine, CA. Candidates must also be willing to attend the final interview onsite and be available to work onsite if converted to a permanent role.
Duration: 6 months from the start date
Industry Experience
- Healthcare industry experience is strongly preferred.
- Design and implement intelligent AI agents leveraging large language models (LLMs), planning algorithms, and decision-making frameworks.
- Build secure and scalable AI agents and integrate them into applications and workflows for robust cross-platform deployment and an enhanced user experience.
- Advance AI agent capabilities through research and performance evaluation, focusing on improved conversation, decision-making, adaptability, and the implementation of safety and guardrail mechanisms.
- Continuously optimize agent performance through feedback mechanisms, reinforcement learning, and user interaction analysis.
- Demonstrate deep expertise in cloud technologies, with a strong focus on Microsoft Azure, including Azure Data and AI platforms such as Databricks, Fabric, and AI Foundry.
- Build and experiment with GenAI models and agentic workflows, contributing to the development of intelligent security solutions.
- Collaborate across the stack, supporting backend services, model pipelines, and frontend interfaces for agentic systems.
- Rapidly prototype and iterate on ideas while contributing to incubation efforts in a startup-style environment.
- Work closely with senior engineers and researchers, learning best practices and contributing to production-grade AI systems.
- Proficiency in Python and other relevant programming languages.
- 3 years of hands-on experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or similar.
- 2 years of hands-on experience in developing and deploying AI agents and machine learning models.