Machine Learning Engineer

H2O.ai is at the forefront of the rapidly evolving Generative & Predictive landscape. We're leveraging MLOps to transform machine learning models from isolated, engineer-specific tools into robust, cloud-native services that are scalable and consistently available. Our approach is firmly rooted in Kubernetes, positioning our team at the cutting edge of cloud solutions.

As a Machine Learning Engineer within the H2O.ai Professional Services team, the role necessitates close collaboration with the client's technical teams and internal stakeholders, encompassing Customer Success, Enterprise Support, and Product Engineering departments.

This position is based in Sri Lanka.

What You Will Do

• Deliver data science and/or machine learning professional services to the customer.
• Develop and implement end-to-end machine learning workflows, from data ingestion to model deployment and monitoring.
• Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and other foundation models.
• Create agentic AI systems for workflow automation and complex task execution.
• Collaborate with cross-functional teams to integrate ML solutions into customer environments.
• You will also be responsible for working closely with customer/H2O solution engineers/architects to implement end to end AI solutions with the ultimate goal of deploying the model to production. Your focus would be on the data science/modelling part of the solution.
• Demonstrate machine learning solutions with engaging storytelling and technical accuracy.
• Architect, design, and deliver Machine Learning and Data Science solutions.

What We Are Looking For

• Proven experience in data science, machine learning, and AI with a minimum of 4+ years of hands-on experience.
• Experience with Generative AI applications, including working with LLMs, prompt engineering, and fine-tuning including deployment of end to end ML pipelines.
• Practical knowledge of Retrieval Augmented Generation (RAG) and vector databases.
• Experience developing agentic AI systems for workflow automation.
• Familiarity with model monitoring, observability, and performance optimization.
• Strong understanding of software engineering best practices and system design.
• Strong problem-solving skills and the ability to work independently and as part of a team.

How To Stand Out From The Crowd

• Experience with H2O.ai products (H2O MLOps, Driverless AI, h2oGPT)
• Experience with cloud platforms (AWS, GCP, Azure) and their ML services
• Contributions to open-source ML/AI projects

Why H2O.ai?

• Market leader in total rewards
• Remote-friendly culture
• Flexible working environment
• Be part of a world-class team
• Career growth

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