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Director, AI & Data Science

Data ScientistData ScientistFull TimeRemoteTeam 201-500Since 1994H1B SponsorCompany Site LinkedIn

Location

United States

Posted

31 days ago

Salary

Not specified

Postgraduate Degree2 yrs expExperience acceptedEnglishJava ScriptNode.jsPythonPy TorchScikit Learn

Job Description

• Define and lead the company’s applied AI strategy • Deliver scalable ML and LLM-powered solutions that drive measurable business impact • Partner closely with Product, Engineering, Security/Compliance, Sales, and Marketing to translate customer needs into production-ready AI capabilities • Coach and grow a small team • Architect end-to-end AI systems • Help the company communicate AI value credibly and responsibly to customers and stakeholders

Job Requirements

Proven ability to lead an applied AI team (player-coach) and drive delivery in a production environment
Strong end-to-end ML/AI engineering judgment: data, modeling, evaluation, deployment, monitoring, iteration
Practical experience with LLMs and modern AI tooling, including prompt/system design, retrieval (RAG), fine-tuning (when appropriate), and evaluation
Ability to translate ambiguous business problems into tractable AI work with clear scope, milestones, and measurable outcomes
Excellent communication: can explain complex trade-offs to technical and non-technical audiences
Experience collaborating with Sales/Marketing on customer-facing AI positioning and solutioning
PhD Plus 2 years industry experience/ Masters plus 4 years / bachelor's plus 6 years industry experience
Field of study computer science or at least 3 years as a software developer
Strong Python and modern ML stack (e.g., PyTorch / sklearn; data tooling; experimentation, vector databases)
Understanding of modern software development and technology practices like git, APIs, containerization, CI/CD
Experience with model evaluation, guardrails, observability
Understanding of responsible AI: privacy, security, governance, and risk controls—especially in regulated/enterprise contexts
Node.js and other backend development skills
Experience in B2B SaaS, compliance/ethics, risk, or enterprise workflows
Experience designing evaluation frameworks for LLM features (quality, hallucination risk, latency/cost trade-offs)
Prior customer-facing technical leadership (pre-sales, workshops, exec briefings)