Posted On 16 September
Bachelor’s degree or higher in computer science or related area
5+ years of experience in machine learning engineering, software engineering, data
engineering or ML ops
Experience in developing, optimizing, deploying, and managing machine learning
solution following SDLC, CI/CD and Agile framework in a production environment
Experience in creating ML inferencing, serving and experimentation solutions
Excellent understanding of software engineering principles and design patterns.
Excellent programming skills in Python, Spark, SQL and other language commonly
used in ML solution stack
Familiar with ML techniques and packages including those used for GPU and deep
learning
Good working knowledge in common ML and big data technology stacks such as
Python, Spark, GPU and deep learning, Kubernetes, containers and dockers, Airflow,
Flux, Rest API, streaming
Good working knowledge with cloud solutions in AWS and GCP a plus
Experience with Cloudera stack – CDP, CML and CDSW a plus
Passion about AI, ML and automation
Excellent problem solving
TensorFlow, Machine Learning, Kubernetes, Big Data, Experimentation, Design Patterns, Software Engineering, Agile, Problem Solving, SDLC, Data Engineering, SQL, Python, GCP, Data Science, API