Dell Technologies is looking to solve business problems by enabling businesses to answer their most urgent questions through data science, developing new approaches to generate meaning and value from large-scale data, and equipping customers to generate sophisticated new insights.
Requirements
- Strong programming skills in Python, with hands-on experience using ML/AI frameworks such as PyTorch, TensorFlow, or similar.
- Experience building and deploying large-scale, production-ready machine learning systems and developing agentic AI solutions, such as tool-using agents, autonomous task workflows, or reasoning-based systems.
- Familiarity with building GenAI applications that enhance developer productivity, code generation, or documentation assistance, designing and optimizing prompts and templates for LLM-based applications, LLM frameworks such as LangChain, LlamaIndex, or similar open-source tools, prompt engineering, retrieval-augmented generation (RAG), or autonomous agents powered by LLMs.
Responsibilities
- Provide technical and strategic guidance to the team and executive stakeholders on complex AI/ML initiatives
- Design, develop, and deploy scalable Large Language Model (LLM) and Generative AI systems in real-world, production-grade environments
- Build robust, end-to-end AI pipelines, including data collection, preprocessing, model training, evaluation, deployment, and post-deployment monitoring
- Apply traditional machine learning approaches to solve predictive modeling and classification problems across both structured and unstructured datasets
- Collaborate closely with data engineers, MLOps specialists, and product managers to align AI solutions with business goals and continuously improve model performance, reliability, and user trust through experimentation, testing, and feedback-driven iteration
Other
- Proven experience communicating complex technical concepts to both technical and non-technical stakeholders, and influencing product direction.
- Self-driven and proactive, with the ability to own and lead end-to-end projects independently.
- Demonstrated ability to clearly explain statistical and algorithmic techniques at varying levels of technical depth.
- Bachelor’s degree with 8+ years of industry experience, or Master’s degree with 6+ years of experience in a data science or machine learning role or equivalent experience
