Machine Learning Engineer

San Francisco, California

Recruiting From Scratch
Job Expired - Click here to search for similar jobs
Who is Recruiting from Scratch : Recruiting from Scratch is a talent firm that focuses on placing the best candidate for our clients. Our team is 100% remote and we work with teams across North America, South America, and Europe to help them hire. Salary Range: $150,000-$250,000 base plus 0.05-0.15% equity.

Join a cutting-edge team that enables enterprises to build their own AI solutions tailored to their unique data and needs. This role combines technical expertise, customer engagement, and hands-on problem-solving to ensure enterprises successfully implement and benefit from advanced LLM technologies.

Key Responsibilities

  • Technical Advisory and Implementation:

    • Serve as the primary technical contact for customers exploring LLM and finetuning projects.
    • Conduct proofs of concept and provide guidance on integration, deployment, and best practices.
  • Customized Solutions:

    • Collaborate with account executives to understand customer needs and configure solutions.
    • Create tailored pilots, prototypes, and evaluation tools to demonstrate platform value.
  • Technical Guidance and Support:

    • Advise customers on architecture and setup for seamless integration into existing infrastructure.
    • Propose solutions to overcome technical challenges.
  • Onboarding and Adoption:

    • Facilitate customer onboarding and ensure successful implementation and post-launch support.
    • Maintain an ongoing technical advisory role throughout the customer journey.
  • Collaboration and Travel:

    • Collaborate with cross-functional teams to align technical solutions with customer objectives.
    • Occasionally visit customer sites for workshops, support, and relationship-building.

This position is perfect for those passionate about applying machine learning expertise to real-world enterprise challenges while fostering strong customer partnerships.

Date Posted: 21 December 2024
Job Expired - Click here to search for similar jobs