Machine Learning Engineer

As a Sr. Machine Learning Ops Platform Engineer, you will be responsible for building automation and leading-edge architecture around Data and AI/ML engineering on an AWS & Kubernetes platform. Specifically, you will code and help architect a production-grade, scalable platform. You will help define and ensure best coding & CICD practices within the team of excellent and engaged engineers. You will be given creative freedom and work in a supportive team environment. You will do hands-on code development and interact with business stakeholders.

7+ years of total experience in a complex, technical environment. Experience with developing production-grade code in Python, SQL & Pandas.

Experience with 3 or more of the following AWS tools: Lambda, EC2, EMR, S3, Glue, Athena, RDS, Networking, IAM, Batch processing, Sagemaker, Airflow

Experience or self-study in Terraform and, generally commonly used DevOps tools and techniques like Kubernetes , Docker, Github, Github Actions, Code pipeline & Jenkins.

Experience in Kubeflow & MLFlow would be a good advantage.

Experience in creating and working with CICD pipelines and APIs.

Experience with relational SQL and NoSQL databases. Snowflake experience is plus.

Experience working with AI/ML teams and cross-functional teams in a dynamic environment.

Qualifications

Bachelors or Masters degree in Computer Science, Artificial Intelligence, Machine Learning, or related field.

57+ years of professional experience in AI/ML development, ideally with ownership of production-level AI systems.

Proven experience at an AI-first company or contributions to AI/ML research or open-source projects are highly desirable.

Job Location:Bangalore,Hyderabad,Chennai,Nagpur,Noida,Pune,Coimbatore,Gurugram.