MLOps Engineer

Company Overview

Company information is not specified.

Job Summary

The MLOps Engineer will play a crucial role in implementing and managing machine learning operations in a cloud environment. This position focuses on bridging the gap between data science and operations by deploying and maintaining scalable machine learning workflows. The successful candidate will work collaboratively with cross-functional teams to enhance machine learning model deployments while ensuring consistency, reliability, and efficiency.

Responsibilities

• Design, implement, and manage MLOps workflows and CI/CD pipelines for machine learning applications.
• Collaborate with data scientists and stakeholders to validate and operationalize machine learning models.
• Automate and deploy machine learning models using tools such as Kubernetes and Helm.
• Monitor system performance and model accuracy using monitoring tools like Prometheus and Grafana.
• Manage cloud infrastructure and services, specifically within AWS environments, including AWS EKS, EC2, VPC, IAM, S3, and EFS.
• Troubleshoot and resolve issues with model performance, scalability, and distributed computing across environments.

Qualifications

• Proficient in MLOps, Machine Learning, and Cloud Services (especially AWS).
• Strong experience with Kubernetes, Helm, ArgoCD, and ArgoWorkflows.
• Solid programming skills in Python, Go, and experience working with frameworks such as TensorFlow and PyTorch.
• Extensive knowledge of containerization technologies like Docker and GPU Acceleration.
• Familiarity with CI/CD pipelines and tools relevant to machine learning environments.
• Understanding of Distributed Computing and Workload Orchestration strategies.
• Excellent problem-solving skills, with a focus on scalability and performance improvements.

Preferred Skills

• Experience with monitoring tools and logging frameworks in AWS environments.
• Knowledge of REST APIs and web services integration.
• Familiarity with SQL databases (e.g., PostgreSQL, MySQL).
• Additional knowledge of enterprise applications and e-signature tools is a plus.

Experience

• Minimum of 4+ years of relevant experience in MLOps, Software Development, or a related field is preferred.

Environment

• This position is based in Chennai. Specific work type (remote, in-office, hybrid) is not specified.

Salary

Salary information is not specified.

Growth Opportunities

Opportunities for career advancement within the company are not specified.

Benefits

Benefits provided by the company are not specified.