Engineer - MLOps

In this role, you will be responsible for building the machine learning production system (MLOps) to help companies transition to becoming AI-driven organizations. You will work with a team to deploy state-of-the-art AI solutions for clients. Your key responsibilities will include: - Collaborating with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models - Automating and streamlining model development and operations - Building and maintaining tools for deployment, monitoring, and operations - Troubleshooting and resolving issues in development, testing, and production environments - Enabling model tracking, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development life cycle using Model Repository like MLFlow or Kubeflow Model Registry - Working across all phases of model development life cycle to build MLOps components - Developing machine learning services using platforms like Kubeflow, DataRobot, HopsWorks, Dataiku, or any relevant ML E2E PaaS/SaaS - Being an integral part of client business development and delivery engagements across multiple domains Required Qualifications: - 3-5 years of experience in building production-quality software - Strong experience in system integration, application development, or Data Warehouse projects - Basic knowledge of MLOps, machine learning, and Docker - Proficiency in object-oriented languages like Python, PySpark, Java, C#, and C++ - Experience in developing CI/CD components for production-ready ML pipelines - Database programming skills using SQL - Knowledge of Git for source code management - Ability to collaborate effectively in a fast-paced environment - Strong problem-solving, project management, and communication skills - Foundational knowledge of cloud computing with AWS, Azure, or GCP - Hunger and passion for learning new skills Education: - B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent If you are someone who enjoys working with passionate individuals and thrives in a dynamic environment, this role might be the perfect fit for you!,