Engineer MLOps

You will be responsible for building the machine learning production System (or MLOps) and deploying state-of-the-art AI solutions for Fractal clients. As an MLOps Engineer, you will collaborate with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. Your key responsibilities will include: - Enabling Model tracking, model experimentation, Model automation - Developing scalable ML pipelines - Developing MLOps components in the Machine learning development life cycle using Model Repository (e.g., MLFlow, Kubeflow Model Registry) - Working across all phases of the Model development life cycle to build MLOPS components - Building the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud (AWS, Azure, GCP)/On Prem - Being an integral part of client business development and delivery engagements across multiple domains To qualify for this role, you must meet the following qualifications: - 3-5 years of experience building production-quality software - Strong experience in System Integration, Application Development, or DataWarehouse projects across technologies used in the enterprise space - Basic Knowledge of MLOps, machine learning, and docker - Proficiency in object-oriented languages (e.g., Python, PySpark, Java, C#, C++) - Experience developing CI/CD components for production-ready ML pipeline - Database programming using any flavors of SQL - Knowledge of Git for Source code management - Ability to collaborate effectively with highly technical resources in a fast-paced environment - Ability to solve complex challenges/problems and rapidly deliver innovative solutions - Skills in team handling, problem solving, project management, communication, and creative thinking - Foundational Knowledge of Cloud Computing in either AWS, Azure, or GCP - Hunger and passion for learning new skills Your educational background should include a B.E/B.Tech/M.Tech in Computer Science or a related technical degree OR equivalent. If you are seeking a challenging opportunity to work with passionate individuals and contribute to the AI-driven transformation of organizations, this role may be the perfect fit for you.,