Consultant, Data Science

Responsibilities

• Lead end-to-end development and deployment of ML models, LLMs, and agentic frameworks into production.
• Own experimentation strategy by identifying promising approaches and assessing feasibility to turn concepts into deployable solutions.
• Build scalable data and model pipelines covering training, evaluation, inference, and automation across cloud platforms.
• Establish LLMOps best practices, including monitoring, guardrails, model lifecycle management, and responsible AI guidelines.
• Provide technical leadership and mentoring to junior contributors while partnering with cross-functional teams globally.

Requirements

• Master’s degree in Data Science or Computer Science with 6+ years of professional experience, OR 10+ years of professional experience in a Data Science role.
• Strong expertise in ML algorithms, generative AI, LLM architectures, and agentic frameworks (e.g., LangChain, MCP, A2A).
• Proficiency in Python, Git, and Docker, with a solid understanding of modern MLOps practices.
• Strong grounding in experimental design, data workflows, and model selection.
• Ability to work independently, make technical decisions, and navigate ambiguity.

Preferred Qualifications

• PhD or published research in ML/AI.
• Deep expertise in LLM operations, including RAG workflows, multi-agent deployments (e.g., LangGraph), or real-time analytics.
• Experience with RLHF, fine-tuning, or advanced evaluation and alignment frameworks for generative models.

Benefits

• Comprehensive healthcare programs.
• Award-winning financial wellness tools and resources.
• Generous leave of absence for new parents and caregivers.
• Industry-leading wellness platform.

About the Company

Dell Technologies is pioneering massively parallel data-intensive analytic processing to generate meaning and value from petabyte-scale data sets. Our mission is to develop new methodologies, tools, and models that empower customers to generate sophisticated insights from big data.