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 recent 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.
Solid proficiency in Python, RESTful APIs, Flask, Pandas, NumPy, and SQLAlchemy.
Solid 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 Chennai
🏢 MASTER MIND CONSULTANCY
📍 Chennai