H2O.ai is looking for a data scientist or machine learning engineer to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data, solving real-world problems by applying cutting-edge Gen AI/ML algorithms and working with customers to solve their business challenges.
Requirements
- 5+ years of hands-on experience in data science, machine learning, and AI, with a proven track record of delivering projects for enterprise customers.
- Strong expertise in LLMs and GenAI: fine-tuning, evaluation, RAG design, LLMOps, guardrails, and building domain-specific/custom LLM solutions.
- Experience with predictive AI algorithms (GLMs, Random Forest, Gradient Boosting, Neural Networks, NLP, time-series forecasting, anomaly detection, etc.).
- Hands-on experience with H2O products (Driverless AI, H2O-3, H2O Wave, LLM Studio) or similar AI/ML platforms.
- Proficiency in Python (preferred) and standard data science/ML libraries and frameworks.
- Familiarity with MLOps and production monitoring tools such as H2O MLOps, MLflow, or equivalents.
- Prior experience in building AI/ML agents and GenAI applications for industry-specific use cases.
Responsibilities
- Deliver end-to-end Generative / Agentic AI solutions blended with Data Science and Machine Learning models for enterprise customers, spanning the entire lifecycle from problem definition, data preparation, model development, deployment, and monitoring.
- Build custom AI/ML agents and applications using the H2O AI stack, and help design verticalized use cases across industries (e.g., banking, finance, insurance, retail, healthcare, manufacturing).
- Support customers in their end-to-end GenAI journey, including LLM selection, evaluation, fine-tuning, prompt engineering, and building scalable GenAI/RAG pipelines tailored to their business needs.
- Apply knowledge of predictive AI algorithms (regression, ensemble methods, time-series forecasting, classification, anomaly detection, etc.) along with Generative AI techniques to deliver hybrid solutions.
- Conduct customer enablement programs, such as hands-on training sessions, workshops, hackathons, and boot camps, to help data scientists, business users, and executives effectively adopt AI.
- Help customers leverage H2O Driverless AI, H2O Wave, H2O LLM Studio, and other tools for experiment tuning, interpretability, model governance, and monitoring.
- Collaborate with internal teams to advance H2O’s GenAI/ML technology stack, contribute to reusable assets, best practices, and industry accelerators.
Other
- Can you explain complex machine learning concepts in simple business terms?
- Proven ability to design and deliver training, workshops, and customer enablement programs for technical and business stakeholders.
- Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption.
- Excellent customer-facing and communication skills: ability to engage with business stakeholders, executives, data scientists, and engineers, and clearly articulate technical concepts in business language.
- Strong problem-solving skills and the ability to work independently in dynamic, customer-driven environments.
