Job Title: MLops

Experience: 5 to 10 Years

Location: Chennai

Roles & Responsibilities

- Develop and maintain scalable AI/ML infrastructure for near-real-time processing and inference.

- Build RESTful APIs and applications using Python.

- Design, implement, and maintain ML model training and deployment pipelines, primarily using Azure ML.

- Integrate ML models into production applications and optimize the MLOps lifecycle.

- Develop monitoring dashboards, performance metrics, alerts, and automated testing solutions.

- Troubleshoot data, application, and infrastructure issues to ensure system reliability.

- Work with data scientists, product owners, and engineering teams to deliver scalable AI/ML solutions.

- Process large volumes of data using distributed computing technologies.

- Evaluate new technologies, open-source frameworks, and tools for AI/ML engineering.

- Contribute to architectural design, technical documentation, and engineering best practices.

- Mentor engineers and support collaboration across cross-functional teams.

Requisites





- Bachelor’s degree in Computer Science, Computer Engineering, or a related field.

- Robust proficiency in Python, RESTful APIs, Flask, Pandas, Num Py, and SQLAlchemy.

- Strong understanding of data structures, algorithms, scalability, performance, and system availability.

- Knowledge of data processing, data mining, Big Data, and RDBMS technologies.

- Experience with SQL, PostgreSQL, Spark, Hive, Databricks, or Snowflake.

- Hands-on experience with Azure or other cloud platforms, preferably Azure ML.

- Knowledge of ML model training, deployment pipelines, and MLOps practices.

- Experience with Jenkins, Kafka, or other messaging and orchestration frameworks.

- Familiarity with Linux, Docker, Kubernetes, or Docker Swarm.

- Proficiency in Git and collaboration tools such as Jira and Confluence.

- Strong problem-solving, analytical, documentation, and English communication skills.

📌 MLops (India)
🏢 MASTER MIND CONSULTANCY
📍 India