MLops

Job Title : MLopsExperience : 5 to 10 YearsLocation : ChennaiRoles & 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.
• Strong proficiency in Python, RESTful APIs, Flask, Pandas, NumPy, 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.