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.
