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Crosslake Technologies

AI/ML Consultant

Crosslake Technologies

AI / ML Consultant supporting technology improvements for private equity investors. Guiding projects from ideation to execution with collaborative teams and powerful AI solutions.

Posted 7/17/2026contractRemote • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expert-level capabilities in Data Science and AI, including model selection, training, and evaluation, while guiding junior developers in Agile methodologies and AI-enabled software engineering.

Highest-signal resume keywords
Data Science ExpertiseMachine Learning ProficiencyAI Model Training and Fine-TuningML Ops ExperienceAdvanced Degree in Computer Science or Related Field

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data MiningStatisticsMachine LearningAnalytical AIGenerative AIModel Efficacy MetricsBias ManagementMulti-Modal AIAI-Enabled Software EngineeringCloud Hosting Options
Soft Skills
MentoringCollaboration
Tools & Technologies
ML Ops ToolingLLM Landscape Knowledge
Certifications & Qualifications
Advanced Degree in Computer ScienceAdvanced AnalyticsData ScienceMachine LearningAI
Industry Keywords
Technical Due DiligenceInvestment FirmsTechnology StrengthsRisk AssessmentProcess Improvement

Tech Stack

Tools & technologies
Cloud

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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

Benefits

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