Senior Engineer- MLOPs + GCP

As a Machine Learning Operations (MLOps) Engineer at Fractal Analytics, you will play a crucial role in building the machine learning production system to enable Fortune 500 companies to transition into AI-driven organizations. Your 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 model 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 - Creating MLOps components in the machine learning development lifecycle using tools like MLFlow, Kubeflow Model Registry, Kubeflow, DataRobot, HopsWorks, Dataiku, or other relevant ML platforms - Working across all phases of the model development lifecycle to build MLOps components - Building a knowledge base for delivering complex MLOps projects on Google Cloud Platform (GCP) - Contributing to client business development and delivery engagements across various domains In order to qualify for this role, you should have: - 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#, or 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 GCP - A hunger and passion for learning new skills Education: B.E/B.Tech/M.Tech in Computer Science or related technical degree or equivalent.,