Senior Engineer- MLOps + AWS

As an MLOps Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system and deploying state-of-the-art AI solutions for clients. You will collaborate with Data Scientists and Data Engineers to deploy and operate advanced analytics machine learning models. Your responsibilities will include: - Enabling model tracking, model experimentation, and model automation - Developing scalable ML pipelines - Building MLOps components in the machine learning development lifecycle using Model Repository such as MLFlow or Kubeflow Model Registry - Working across all phases of model development to build MLOps components - Developing the knowledge base required for complex MLOps projects on the Cloud, particularly AWS - Being an integral part of client business development and delivery engagements across multiple domains Qualifications required for this role include: - 5-9 years of experience in building production-quality software - Strong experience in system integration, application development, or data warehouse projects across enterprise technologies - Basic knowledge of MLOps, machine learning, and Docker - Proficiency in object-oriented languages such as 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 on AWS - Hunger and passion for learning new skills Education required for this position is a B.E/B.Tech/M.Tech in Computer Science or a related technical degree, or equivalent.,