Senior Data Engineer

1 month ago


Delhi, Delhi, India DMI Finance Private Limited Full time
Job Summary

This role is a key part of the Analytics Team for the Consumer Finance Business. The team collaborates with cross-functional teams and leadership to develop and execute strategic projects, driving business performance. As a Senior Data Engineer - Machine Learning Operations, you will be responsible for driving high-impact, complex analytical and AI projects.

Key Responsibilities
  • Establish and manage infrastructure on cloud platforms such as AWS and GCP tailored for machine learning workloads.
  • Work alongside data scientists to seamlessly integrate machine learning components into applications and services.
  • Develop comprehensive end-to-end machine learning pipelines, incorporating tools and services for data preprocessing, model training, and deployment.
  • Create and maintain automated workflows for continuous integration and continuous deployment (CI/CD) of machine learning models.
  • Deploy machine learning models into production environments and manage their lifecycle, ensuring they remain efficient and effective.
  • Set up monitoring solutions to track model performance, detect data drift, and capture other relevant metrics to ensure ongoing model accuracy and reliability.
  • Stay up-to-date with the latest advancements in MLOps tools and technologies, recommending and implementing improvements to enhance existing workflows.
Qualifications

Minimum Qualification required:

Work Experience

2+ years work experience in MLOps

Technical Skills

  • Must have delivered one or more data science product(s) in production.
  • Technically able to build and manage data and deployment pipelines.
  • Proficiency with AWS services.
  • Strong Problem Solving skill set.
  • Should have a fair understanding of ML algorithms.
  • Proficiency in following technologies:
  1. FastAPI
  2. Docker
  3. AWS services (S3, EC2, Sagemaker, Lambda, AppRunner, ECR, ECS, Cloudwatch)

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