Machine Learning Engineer

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  "detail": {
    "url": "https://h2oai.applytojob.com/apply/jobs/details/4nNmAq3asO?&",
    "heading": "Machine Learning Engineer",
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    "description_html": "<div class=\"job_description\">\n\t\t\t\t\t<p style=\"line-height:1.2;background-color:#ffffff;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Founded in 2012, H2O.ai is on a mission to democratize AI. As the world&#8217;s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI&#8212;secure, compliant, and infrastructure-flexible deployments&#8212;H2O.ai delivers solutions that align with the highest standards of data privacy and control.</span></span></span></span></span><br><br><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&amp;T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.</span></span></span></span></span><br><br><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst &amp; Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai&#8217;s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.</span></span></span></span></span><br><br><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.</span></span></span></span></span><br><br><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">For more information, visit&#160;</span></span></span></span></span><a href=\"http://www.h2o.ai/\" style=\"text-decoration:none;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#1155cc;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:underline;\"><span>www.h2o.ai</span></span></span></span></span></span></a><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#222222;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">.</span></span></span></span></span></span></span><br>&#160;</p><p style=\"line-height:1.2;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">About This Opportunity&#160;</span></span></span></span></span></span></span></p><p style=\"line-height:1.2;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">H2O.ai is at the forefront of the rapidly evolving Generative &amp; 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.</span></span></span></span></span></span></span></p><p style=\"line-height:1.2;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">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.</span></span></span></span></span></span></span></p><p style=\"line-height:1.2;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">This position is based in Sri Lanka.</span></span></span></span></span></span></span><br>&#160;</p><p style=\"line-height:1.2;text-align:justify;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What You Will Do&#160;</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Deliver data science and/or machine learning professional services to the customer.&#160;</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Develop and implement end-to-end machine learning workflows, from data ingestion to model deployment and monitoring</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and other foundation models</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Create agentic AI systems for workflow automation and complex task execution</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Collaborate with cross-functional teams to integrate ML solutions into customer environments</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">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.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Demonstrate machine learning solutions with engaging storytelling and technical accuracy.&#160;</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Architect, design, and deliver Machine Learning and Data Science solutions.&#160;</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">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.&#160;</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.2;text-align:justify;\"><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">What We Are Looking For&#160;</span></span></span></span></span></span></span></p><ul><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Bachelor&#8217;s or Master&#8217;s degree in <b>Computer Science Engineering (CSE)</b> is mandatory.</span></span></li><li><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\">Minimum 2 years of <strong>full-time experience specifically in AI product development,</strong>&#160;<span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">data science and machine learning</span></span></span></span></span> (standard software engineering without AI exposure will not be considered).</span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience with Generative AI applications, including working with LLMs, prompt engineering, and fine-tuning including deployment of end to end ML pipelines</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Practical knowledge of Retrieval Augmented Generation (RAG) and vector databases.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience developing agentic AI systems for workflow automation.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Familiarity with model monitoring, observability, and performance optimization.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong understanding of software engineering best practices and system design.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Strong problem-solving skills and the ability to work independently and as part of a team.</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.2;text-align:justify;\"><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">How to Stand Out From the Crowd&#160;</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience with H2O.ai products (H2O MLOps, Driverless AI, h2oGPT)</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience with cloud platforms (AWS, GCP, Azure) and their ML services</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Contributions to open-source ML/AI projects</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Experience with model governance, responsible AI, and implementing guardrails for LLMs.</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.2;text-align:justify;\"><br><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:700;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Why H2O.ai?</span></span></span></span></span></span></span></p><ul><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Market leader in total rewards</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Remote-friendly culture</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Flexible working environment</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Be part of a world-class team</span></span></span></span></span></span></span></li><li style=\"list-style-type:disc;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Career growth</span></span></span></span></span></span></span></li></ul><p style=\"line-height:1.2;text-align:justify;margin-bottom:27px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">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.</span></span></span></span></span></span></span></p><p style=\"line-height:1.2;text-align:justify;margin-bottom:27px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">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&#8217;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.&#160;We push the boundaries of what is possible with artificial intelligence.&#160;</span></span></span></span></span></span></span></p><p style=\"line-height:1.2;text-align:justify;margin-top:19px;\"><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">H2O.ai employs the world&#8217;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&#8217;s purpose.</span></span></span></span></span></span></span></p><span style=\"font-size:14px;\"><span style=\"font-family:Arial, Helvetica, sans-serif;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">Please visit</span></span></span></span></span><a href=\"http://www.h2o.ai/\" style=\"text-decoration:none;\"><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#333333;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">&#160;</span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#1155cc;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:underline;\"><span>www.H2O.ai</span></span></span></span></span></span></a><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#333333;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">&#160;</span></span></span></span></span><span style=\"font-variant:normal;white-space:pre-wrap;\"><span style=\"color:#000000;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">to learn more.</span></span></span></span></span></span></span><br><span style=\"font-size:11pt;font-variant:normal;white-space:pre-wrap;\"><span style=\"font-family:Arial, sans-serif;\"><span style=\"color:#ffffff;\"><span style=\"font-weight:400;\"><span style=\"font-style:normal;\"><span style=\"text-decoration:none;\">#LI-Hybrid</span></span></span></span></span></span>",
    "description_text": "Founded in 2012, H2O.ai is on a mission to democratize AI. As the world’s leading agentic AI company, H2O.ai converges Generative and Predictive AI to help enterprises and public sector agencies develop purpose-built GenAI applications on their private data. With a focus on Sovereign AI—secure, compliant, and infrastructure-flexible deployments—H2O.ai delivers solutions that align with the highest standards of data privacy and control.\n Our open-source technology is trusted by over 20,000 organizations worldwide, including more than half of the Fortune 500. H2O.ai powers AI transformation for companies like AT&T, Commonwealth Bank of Australia, Chipotle, Workday, Progressive Insurance, and NIH.\n H2O.ai partners include NVIDIA, Dell Technologies, Deloitte, Ernst & Young (EY), Snowflake, AWS, Google Cloud Platform (GCP), VAST Data and MinIO. H2O.ai’s AI for Good program supports nonprofit groups, foundations, and communities in advancing education, healthcare, and environmental conservation. With a vibrant community of 2 million data scientists worldwide, H2O.ai aims to co-create valuable AI applications for all users.\n H2O.ai has raised 256 million from investors, including Commonwealth Bank, NVIDIA, Goldman Sachs, Wells Fargo, Capital One, Nexus Ventures and New York Life.\n For more information, visit  www.h2o.ai .\n About This Opportunity\n 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.\n 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.\n This position is based in Sri Lanka.\n What You Will Do\n Deliver data science and/or machine learning professional services to the customer.\n Develop and implement end-to-end machine learning workflows, from data ingestion to model deployment and monitoring\n Build and optimize Generative AI applications leveraging Large Language Models (LLMs) and other foundation models\n Create agentic AI systems for workflow automation and complex task execution\n Collaborate with cross-functional teams to integrate ML solutions into customer environments\n 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.\n Demonstrate machine learning solutions with engaging storytelling and technical accuracy.\n Architect, design, and deliver Machine Learning and Data Science solutions.\n 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.\n What We Are Looking For\n Bachelor’s or Master’s degree in Computer Science Engineering (CSE) is mandatory.\n Minimum 2 years of full-time experience specifically in AI product development,   data science and machine learning (standard software engineering without AI exposure will not be considered).\n Experience with Generative AI applications, including working with LLMs, prompt engineering, and fine-tuning including deployment of end to end ML pipelines\n Practical knowledge of Retrieval Augmented Generation (RAG) and vector databases.\n Experience developing agentic AI systems for workflow automation.\n Familiarity with model monitoring, observability, and performance optimization.\n Strong understanding of software engineering best practices and system design.\n Strong problem-solving skills and the ability to work independently and as part of a team.\n Excellent communication and presentation skills, with the ability to convey complex technical concepts to non-technical stakeholders.\n How to Stand Out From the Crowd\n Experience with H2O.ai products (H2O MLOps, Driverless AI, h2oGPT)\n Experience with cloud platforms (AWS, GCP, Azure) and their ML services\n Contributions to open-source ML/AI projects\n Experience with model governance, responsible AI, and implementing guardrails for LLMs.\n Why H2O.ai?\n Market leader in total rewards\n Remote-friendly culture\n Flexible working environment\n Be part of a world-class team\n Career growth\n 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.\n 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.\n 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.\n Please visit   www.H2O.ai   to learn more.\n #LI-Hybrid",
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    "id": "4nNmAq3asO",
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