Lead AI/ML Engineer

Responsibilities

• Lead end-to-end development and deployment of ML models, LLMs, and agentic frameworks into production.
• Own the experimentation strategy by identifying promising approaches and assessing feasibility for 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.
• 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, AutoGen, LlamaIndex).
• Proficiency in Python and cloud platforms (Azure, AWS, or GCP).
• Solid understanding of modern MLOps practices and engineering tools like Docker.
• Ability to work independently, make critical technical decisions, and navigate ambiguity.

Preferred Qualifications

• PhD or published research in ML/AI.
• Deep expertise in RAG workflows, multi-agent deployments (e.g., CrewAI), or real-time analytics.
• Experience with RLHF, fine-tuning, or advanced evaluation and alignment frameworks for generative models.
• Knowledge of big data technologies and LLM-specific ethical considerations.

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 a unique family of businesses that helps individuals and organizations transform how they work, live, and play. We believe that each of us has the power to make an impact, and we put our team members at the center of everything we do.