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AI / ML Consultant at Crosslake Technologies LLC. Location Information: . (This role can be based from anywhere in Europe on a fully remote basis). AI / ML Consultant. . . What we believe. . Technology is no longer just an enabler of business strategy. It . is. the business strategy. And with AI reshaping how companies operate, compete and grow — while rapidly accelerating the pace of change — the stakes have never been higher. . . Our role. . We’re focused on helping private equity investors and portfolio company leaders drive value creation through technology. In a world where investors deploy trillions annually into software and tech-enabled businesses, we're the team that makes sure the underlying technology actually delivers. . . Our approach. . The expert judgment of our experienced practitioners is complemented by proven frameworks, tech-enabled solutions, and objective data to help organizations navigate critical technology decisions across diligence, transformation, growth, cybersecurity, AI, and operational execution. . . What we value. . Everything we do is grounded in five core values: Service. Curiosity. Credibility. Commitment. Creativity.. . If you're energized by solving complex technology challenges and helping others succeed in critical moments, you'll fit right in. . . . Overview. . . 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.. . . Expected Results. . . 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. . . Required qualifications:. . . 10+ years of experience in the fields of advanced analytics, data science,  ML, analytical AI; current knowledge of Generative AI , in roles such as Lead / Sr Scientist, Lead for Analytics / ML / AI, at tech companies or consulting firms . . AI and Data Science Skills :  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. . Be willing to learn and take on new areas that may be outside of your initial comfort zone. . Passion towards making others great and making a high-performing team even better. . An action-oriented personality – you know how to get stuff done. . Ability to work from home (or an office of your choosing) and be self-directed, but also effectively collaborate with the team in both a remote and in-person capacity. . Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, AI. .