Ai/Ml Consultant

Summary

Join Crosslake, a company supporting changemakers in buying, building, and running better technology, as a US-based remote consultant. You will work with technology and private equity companies to improve existing technology, conduct technical due diligence, and design/implement solutions. The role involves mentoring junior developers, collaborating with internal and client teams, and driving projects to successful completion. You will participate in AI assessment efforts, creating reports for investors, and contribute to hands-on implementation projects. Crosslake values service, curiosity, credibility, commitment, and creativity.

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
• Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, AI

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 your 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