Founded in 2012, H2O.ai is at the forefront of the AI movement to democratize Generative AI. H2O.ai’s open-source Generative AI and Enterprise h2oGPT, combined with Document AI and the award-winning autoML Driverless AI, have transformed more than 20,000 global organizations and over half of the Fortune 500 and household brands, including AT&T, Commonwealth Bank of Australia, Chipotle, ADP, Workday, Progressive Insurance, and AES.
Our “AI for Good” program supports nonprofit groups, foundations, and communities in their efforts to advance education, healthcare, and environmental conservation, including identifying areas vulnerable to natural disasters and protecting endangered species.
We have a vibrant community of two million data scientists worldwide and aim to bring together the world’s top data scientists with customers to co-create GenAI applications that are usable and valuable by everyone. Business users can now leverage the power of LLMs to enhance productivity with enterprise applications.
H2O.ai is a Visionary in the 2024 Gartner® Magic Quadrant™ for Data Science and Machine Learning Platforms. We are the only provider in the market to offer both Predictive AI and Generative AI on premise and air gapped, in addition to supporting all cloud environments.
About This Opportunity
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.
- Present at meetups and webinars in the Data Science community, and be an integral part of the Maker culture of creating the best products and 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.
- Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.
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
- Experience with model governance, responsible AI, and implementing guardrails for LLMs.
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 legally protected basis.
H2O.ai is an innovative AI cloud platform company, leading the mission to democratize AI for everyone. Thousands of organizations from all over the world have used our cutting-edge technology across a variety of industries. We’ve made it easy for people at all levels to generate breakthrough solutions to complex business problems and advance the discovery of new ideas and revenue streams. We push the boundaries of what is possible with artificial intelligence.
H2O.ai employs the world’s top Kaggle Grandmasters, the community of best-in-the-world machine learning practitioners and data scientists. A strong AI for Good ethos and responsible AI drive the company’s purpose.
Please visit www.H2O.ai to learn more.#LI-Hybrid
