Senior Sales Engineer

h2o.ai; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Flexible working environment

Career growth opportunities

Remote-friendly culture

Job summary

H2O.ai is looking for a data scientist or machine learning engineer in Singapore to deliver cutting-edge Generative AI solutions. You will utilize your expertise to support customers, design custom applications, and conduct enablement programs.

The ideal candidate will have 3+ years of experience in data science and machine learning, with proficiency in Python and familiarity with H2O products. Join our diverse and inclusive work environment and be part of a world-class team.

Qualifications

• 3+ years of hands-on experience in data science, machine learning, and AI.
• Strong expertise in LLMs and Generative AI techniques.
• Experience with predictive AI algorithms including regression and classification.

Responsibilities

• Deliver end-to-end Generative/Agentic AI solutions for enterprise customers.
• Support customers in their end-to-end GenAI journey.
• Conduct customer enablement programs, such as training and workshops.

Skills

Machine Learning

Data Science

Generative AI

Python proficiency

Customer engagement

Tools

H2O Driverless AI

H2O Wave

MLOps tools

Job description

Are you a data scientist or machine learning engineer who enjoys solving real-world problems by applying cutting-edge Gen AI/ML algorithms? Are you passionate about working with customers to solve their business challenges? Can you explain complex machine learning concepts in simple business terms? If the answer is "yes", then we are looking for you!

This position is based in Singapore and open to candidates who are Singapore Citizens or Permanent Residents.

What You Will Do

• 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.
• Translate technical outputs into business impact narratives and guide non-technical stakeholders on the value and risks of AI adoption.
• Collaborate with internal teams to advance H2O's GenAI/ML technology stack, contribute to reusable assets, best practices, and industry accelerators.

What We Are Looking For

• 3+ 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.).
• Proven ability to design and deliver training, workshops, and customer enablement programs for technical and business stakeholders including the channel.
• Solution design and sizing experience.
• 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.
• 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.

How To Stand Out from the Crowd

• Prior experience in building AI/ML agents and GenAI applications for industry-specific use cases.
• Demonstrated thought leadership in AI—published blogs, talks, or open-source contributions.
• Experience running AI hackathons, bootcamps, or innovation workshops with enterprise customers.
• Familiarity with enterprise-grade AI solutioning (security, governance, scalability, compliance).

Why H2O.ai?

• Market Leader in Total Rewards
• Remote-Friendly Culture
• Flexible working environment
• Be part of a world-class team
• Career Growth

H2O.ai is committed to creating a diverse and inclusive culture. All qualified applicants will receive consideration for employment without regard to their race, ethnicity, religion, gender, sexual orientation, age, disability status, or any other protected characteristic under applicable law.