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.
Requirements
- Bachelor’s or a higher education degree in Computer Science/Engineering, data science, statistics or related field
- Experience building data pipelines, ETL data sets, preferably on ‘Big Data’
- Excellent understanding and experience with big data tools like Hadoop and Spark
- Excellent knowledge of SQL query language and working with relational databases
- Understanding of various NoSQL database types and their application scenarios
- Experience in Spark/Kafka and Hadoop ecosystem
- Proficient in Python or R for data science
- Experience with writing REST API using microservices frameworks in Python or Java
- Experience in building and deploying agentic/RAG AI applications
- Experience with dockerization of services (i.e. creating docker images)
- Understanding of Kubernetes based application development
- Experience 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/PowerBi
- Experience 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.
Benefits
- Market leader in total rewards
- Remote-friendly culture
- Flexible working environment
- Be part of a world-class team
- Career growth
Originally posted on Himalayas
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