Job Title: Machine Learning Engineer

Experience: 6+ Years

Location: Chennai

Employment Type: Full time

Job Summary

We are looking for an experienced Machine Learning Engineer to design, deploy, and maintain scalable AI/ML solutions in production environments. The ideal candidate will have strong expertise in Python, MLOps, data engineering, CI/CD pipelines, containerization, and cloud-native technologies. This role involves collaborating with Data Scientists, DevOps, and Engineering teams to industrialize machine learning models, optimize data pipelines, and ensure secure, reliable, and high-performing AI applications.

Key Responsibilities

- Design, develop, and optimize data ingestion and ETL pipelines for AI/ML applications.

- Build, deploy, and maintain production-grade machine learning pipelines using MLOps best practices.

- Develop and maintain scalable Python applications with a focus on performance, code quality, and security.

- Manage Python environments, dependencies, and package compatibility across development and production environments.

- Implement and maintain CI/CD pipelines for automated deployment of machine learning applications.

- Deploy and manage containerized applications using Docker and Kubernetes.

- Design and optimize workflows using Apache Airflow for data processing and ML orchestration.

- Develop and optimize virtualized data access layers using Denodo.

- Work with PostgreSQL databases for schema design, query optimization, and data management.





- Perform vulnerability assessments and implement secure coding practices across AI/ML applications.

- Troubleshoot production issues, perform root cause analysis, and ensure high availability of ML services.

- Collaborate with cross-functional teams to translate business requirements into scalable AI solutions.

- Implement logging, monitoring, and observability for AI applications.

- Stay updated with emerging AI/ML technologies, including Large Language Models (LLMs) and Agentic AI.

Required Skills

- 6+ years of experience in Python development.

- Strong expertise in Object-Oriented Programming (OOP), decorators, performance optimization, and secure coding practices.

- Experience with Python environment management tools such as pip, uv, mamba, and micromamba.

- Hands-on experience in MLOps, model deployment, model versioning, and production support.

- Strong knowledge of Docker and Kubernetes.

- Experience with Jenkins and GitLab CI/CD pipelines.

- Good understanding of Linux administration and Bash scripting.

- Strong SQL skills with PostgreSQL.

- Experience with Denodo Data Virtualization Platform.

- Expertise in Apache Airflow DAG development and workflow orchestration.

- Experience integrating Airflow with databases, APIs, and ML platforms.

- Knowledge of monitoring, logging, debugging, and incident management.

- Familiarity with secure software development lifecycle (SDLC) practices.

- Experience working in Agile development environments.

📌 Machine Learning Engineer (Chennai)
🏢 SWITS DIGITAL Private
📍 Chennai