AI / ML Consultant

Crosslake Technologies LLC
Remote

About The Position

Crosslake is seeking an AI / ML Consultant to work with technology companies to identify improvements in their existing technology, organizations, processes, and tools used to develop software products and services. The role also involves working with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments, specifically through technical due diligence. Additionally, the consultant will design and implement solutions from scratch, such as Agile methodology transformations, while guiding and mentoring more junior software developers and engineers. This position requires collaborative work in partnership with internal and client technical leads and team members.

Requirements

  • In-depth expert-level experience in Data Science domain (data mining, statistics, machine learning, etc.) and AI domain:
  • Analytical and generative AI
  • Evaluation of available data assets and their profile
  • Current knowledge of LLM landscape, commercial and open course
  • Model selection, training, fine-tuning
  • Model efficacy metrics, bias management
  • IP considerations
  • ML Ops and related tooling
  • Cloud hosting options and self-hosting, and related economics
  • Multi-modal AI (text, NLP / voice, images, video)
  • AI-enabled software engineering

Responsibilities

  • Work with technology companies to identify improvements of existing technology, organizations, processes, and tools used to develop software products and services.
  • Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments (I.e. technical due diligence).
  • Design and implement solutions from scratch (e.g. Agile methodology transformations), guiding and mentoring more junior software developers and other engineers.
  • Collaboratively work in partnership with internal and client technical leads and team members.
  • Be an apprentice consultant for the first 2 projects and then be willing and able to drive a project on your own to successful completion, including collaboration, project management, and getting your hands dirty.
  • Participate in and drive AI assessment efforts on behalf of investment companies, collaborating, digging deep, and creating a report for the investors to outline technical investment risks.
  • Participate in hands-on implementation projects using processes and technologies that are most applicable to you, producing stellar customer feedback along the way.
  • Work with technology companies to identify improvements of existing AI technology, organizations, processes, and tools.
  • Work with private equity companies and other investment firms to help them understand the technology strengths, risks, and opportunities for improvement for potential investments.
  • Collaboratively work in partnership with internal and client technical leads and team members.
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