h2o.ai

H2O.ai is a leader in democratizing AI, with a mission to make it accessible to everyone. They are seeking a Senior Machine Learning Engineer to join their team in Sri Lanka, to work on developing and deploying machine learning models in real-world applications.RequirementsBachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related fieldExperience building data pipelines, ETL data sets, preferably on ‘Big Data’Excellent understanding and experience with big data tools like Hadoop and SparkExcellent knowledge of SQL query language and working with relational databasesUnderstanding of various NoSQL database types and their application scenariosExperience in Spark/Kafka and Hadoop ecosystemProficient in Python or R for data scienceExperience with writing REST API using microservices frameworks in Python or JavaExperience in building and deploying agentic/RAG AI applicationsExperience with dockerization of services (i.e. creating docker images)Understanding of Kubernetes based application developmentExperience of visualizing and presenting (EDA) to stakeholders using H2O Wave (plus), or other standard data visualization libraries in the Python and R stacks or using Tableau/PowerBiExperience with post production model monitoring tools like H2O MLOps (plus) MLFlow etc.Understanding of using a variety of machine learning techniques (supervised/unsupervised, clustering, decision tree learning, neural networks, etc.) and their real-world advantages/drawbacks/tuning techniques.Understanding of using advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) for practical applications.Excellent communication skills (proficient in spoken and written English). Additional languages are a plus.Amicable attitude. Aptitude to independently investigate and find solutions to technical problems; urge to learn/master new technologies. Maker mindset.BenefitsMarket leader in total rewardsRemote-friendly cultureFlexible working environmentBe part of a world-class teamCareer growthOriginally posted on Himalayas

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