Senior Engineer – Machine Learning Platforms - GOPN

Salary

₹40 - 45 LPA

Min Experience

5 years

Location

Remote (India)

JobType

full-time

About the role

Position Summary:

We are looking for a talented Senior Engineer to build and manage self-serve platforms focused on real-time ML deployment and advanced data engineering. This role combines expertise in cloud-native platform engineering, data pipeline creation, and seamless deployment of machine learning models at scale.
 

Responsibilities:

  • Design and develop scalable microservices-based platforms using KubernetesDocker, and Python (FastAPI) for managing ML workflows and data pipelines.
  • Architect and implement real-time ML inference platforms using AWS SageMakerDatabricks, and ensure model versioning, monitoring, and lifecycle management.
  • Build and enhance ETL/ELT pipelines using PySpark and Pandas, and manage feature stores for high-quality data.
  • Design distributed data pipelines, integrating DynamoDBPostgreSQLMariaDB, and other databases.
  • Implement data lakes and warehouses to support analytics and ML workflows.
  • Design, optimize, and maintain CI/CD pipelines with Jenkins and GitHub Actions for continuous deployment and testing.
  • Automate monitoring and validation to ensure consistent data quality.
  • Collaborate with cross-functional teams to understand business requirements and deliver integrated solutions.
  • Maintain comprehensive technical documentation for platforms and workflows.

Required Skills & Qualifications:

  • 5+ years of experience in platform engineeringdata engineering, or DevOps roles.
  • Proficient in PythonPySparkFastAPIKubernetes, and Docker.
  • Strong experience with AWS services, including SageMakerLambdaDynamoDB, and EC2.
  • Expertise in managing distributed data pipelines with Databricks and PostgreSQL.
  • Familiarity with CI/CD tools like JenkinsGitHub Actions, and monitoring tools like New Relic.

Skills

Machine Learning
AWS
ML pipelines
Python
PySpark
Machine learning model