Offer summary

Qualifications:

Advanced degree in computer science, statistics, advanced analytics, data science, machine learning, or AI., Expert-level experience in Data Science and AI domains, including machine learning and data mining., Strong knowledge of the LLM landscape and model training techniques., Familiarity with ML Ops, cloud hosting options, and multi-modal AI applications..

Key responsabilities:

Identify improvements in existing technology and processes for software development.

Conduct technical due diligence for private equity firms regarding technology investments.

Design and implement solutions, guiding junior developers and engineers.

Collaborate with internal and client technical leads to drive project success.

Job description

(this position is US based remote)

What we believe

In the past few years, private equity investors have invested more than a trillion dollars in software and tech-enabled companies. And in many cases, the underlying tech is the greatest enabler to the business strategy. But has the approach to govern technology value creation caught up to the magnitude of the risk?

We believe a better way is possible – a more programmatic, proactive approach to actively manage technology throughout the investment lifecycle – and that’s what we do.

Our role

We know that technology can create truly transformative change, and its role in business is only growing. Crosslake is here to support the changemakers and help them buy, build and run better technology.

What we value

You could be a good fit for Crosslake if you see yourself reflected in our guiding values:

Service. We effect change by empowering others.

Curiosity. We believe great advice starts with deep understanding.

Credibility. Our expertise is earned and proven.

Commitment. It’s our privilege to serve clients in their critical moments.

Creativity. We are inspired by the constant pursuit of better.

Crosslake is a diverse organization and proud of it. What unites us is our belief that technology makes a difference.

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

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)