About This Opportunity

　　We are seeking a highly skilled and motivated Machine Learning Engineer to join our team in India. The successful candidate will have a strong background in machine learning and software engineering, with experience in developing and deploying machine learning models in real-world applications. The ideal candidate will have a passion for working with data, a strong understanding of machine learning algorithms and techniques, cloud technology and the ability to communicate complex technical concepts to stakeholders.

　　As a Machine Learning Engineer, you will work closely with technical teams on our customer side and Enterprise Support and Product Engineering teams internally.

　　What You Will Do

　　Deliver technical professional services to the customer

　　Work closely with H2O.ai Data Scientists in advising and developing end to end machine learning solutions (from a data engineering perspective) for the customer requirements

　　Integrate H2O.ai products with customer data sources for model training

　　Integrate machine learning models/pipelines (Python and mojo scoring pipelines) with customer systems for scoring (relatime/batch) as well as model monitoring and operations

　　Implement end to end ML data flow pipelines that help streamline and data science solutions to a business problem

　　Implement AI driven applications using the open source H2O.ai Wave SDK

　　Provide/gather customer feedback so that you can work with the H2O.ai Engineering team to further enhance our products for needed features

　　Ensure the scalability, reliability, and performance of deployed models by implementing appropriate monitoring, testing, and debugging processes

　　Be the trusted solutions advisor for our customers and partners

　　Communicate effectively with a diverse audience of internal and external stakeholders consisting of: engineers, business people, partners, executives

　　Translate business cases and requirements into value based technical solutions through the architecture of machine learning workflows and systems from data ingestion to model deployment

　　What We Are Looking For

　　Bachelor’s or a higher education degree in Computer Science/Engineering, Data Science, Statistics or related field

　　Data Engineering Skills:

　　Experience building data pipelines, ETL data sets, preferably on ‘Big Data’

　　Excellent knowledge of SQL query language and working with relational databases

　　Programming Languages/Frameworks:

　　Proficient in Python or R for data science. Java, Bash scripting, Scala Go are a plus

　　Experience with writing REST API using microservices frameworks in Python or Java

　　Data Science skills:

　　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 ML Ops (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

　　Customer Experience:

　　Experience  working in a customer-facing environment, providing technical services

　　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

　　How to Stand Out From the Crowd

　　Experience with big data technologies such as Hadoop, Spark, or NoSQL databases

　　Familiarity with DevOps practices and tools such as Git, Jenkins, ArgoCD

　　Knowledge of data privacy and security principles

　　Experience with natural language processing or computer vision tasks

　　Experience with model interpretability techniques such as feature importance, partial dependence plots, or SHAP values

　　Experience with IaC technologies such as Terraform, AWS Cloud Formation

　　Experience with containerization technologies such as Kubernetes, Docker

　　Experience of debugging/troubleshooting containerized workloads and familiarity with tools such as kubectl, helm etc.

　　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.

　　Powered by JazzHR