Senior Engineer- MLOps + AWS

6 days ago


Bangalore, India Fractal Full time

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. We believe that a true Fractalite is the one who empowers imagination with intelligence. Building the machine learning production System (or MLOps) is the biggest challenge most large companies currently have in making the transition to becoming an AI-driven organization. This position is an opportunity for an experienced, server-side developer to build expertise in this exciting new frontier. You will be part of a team deploying state-of-the-art AI solutions for Fractal clients. As MLOps Engineer, you will work collaboratively with Data Scientists and Data engineers to deploy and operate advanced analytics machine learning models. You’ll help automate and streamline Model development and Model operations. You’ll build and maintain tools for deployment, monitoring, and operations. You’ll also troubleshoot and resolve issues in development, testing, and production environments. Develop scalable ML pipelines Develop MLOps components in Machine learning development life cycle using Model Repository (either of): MLFlow, Kubeflow Model Registry Machine Learning Services (either of): Kubeflow, DataRobot, HopsWorks, Dataiku or any relevant ML E2E PaaS/SaaS Build the knowledge base required to deliver increasingly complex MLOPS projects on the Cloud- AWS 5-9 years' 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 ~ 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 ~ Team handling, problem solving, project management and communication skills & creative thinking ~ Foundational Knowledge of Cloud Computing on AWS ~ B.E/B.Tech/M.Tech in Computer Science or related technical degree OR Equivalent.



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