Machine Learning Engineer

JD :- In this role you will build optimized, efficient and reliable products, services and interfaces to federate access to data stores, simplify, automate and manage the ML development and deployment ecosystem. Specifically, you will develop tooling and services to deploy, host and serve ML models at scale.
Responsibilities:
Design and develop infrastructure for the full cycle of Machine Learning such as workflow management, feature store, data discovery tools, and feature libraries.
Implement backend microservices for large scale distributed systems using gRPC or REST.
Lead and drive vision for one or more of ML Platform services
Drive and maintain a culture of quality, innovation and experimentation
Work in an Agile environment that focuses on collaboration and teamwork
Basic Qualifications:
Bachelors degree in Computer Science, Information Systems, Software, Electrical or Electronics
Engineering, or comparable field of study, and/or equivalent work experience
5+ years of software experience, with 3+ years of relevant ML experience
Experienced with cloud technologies in AWS or GCP and container systems such as Docker or Kubernetes
Expertise in OO programming, either Python or Java
Excellent communication and people engagement skills
Preferred Qualifications:
Familiarity with Java or Python development ecosystem
Knowledge of technologies like Databricks, S3, Spark
Experience with graph-based data workflows such as Apache Airflow, Meson
Mentor colleagues on best practices and technical concepts of building large scale solutions

This is a remote position.