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Engineer - MLOps

Engineer - MLOps

Fractal

3 - 7 years

0 Lacs

karnataka

Posted:2 weeks ago| Platform: Shine logo

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Skills Required

machine learning model development sql git cloud computing aws azure gcp mlops data scientists data engineers model operations model tracking model experimentation model automation ml pipelines mlops components model repository mlflow kubeflow model registry machine learning services kubeflow datarobot hopsworks dataiku

Work Mode

On-site

Job Type

Full Time

Job Description

You will be responsible for building the machine learning production system (MLOps) to help large companies transition into AI-driven organizations. 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, experimentation, and automation - Developing scalable ML pipelines - Building MLOps components using Model Repository (e.g., MLFlow, Kubeflow Model Registry) and Machine Learning Services (e.g., Kubeflow, DataRobot, HopsWorks, Dataiku) - Working across all phases of the Model development life cycle to build MLOps components - Building knowledge base for delivering complex MLOps projects on Cloud (AWS, Azure, GCP) or On-Prem - Participating in client business development and delivery engagements across various domains Qualification Required: - 3-5 years of experience in building production-quality software - Strong experience in System Integration, Application Development, or DataWarehouse projects - Basic Knowledge of MLOps, machine learning, and Docker - Proficiency in object-oriented languages (e.g., Python, PySpark, Java, C#, C++) - Experience in developing CI/CD components for production-ready ML pipeline - Database programming skills using SQL - Knowledge of Git for source code management - Ability to collaborate effectively in a fast-paced environment - Strong problem-solving and project management skills - Foundational knowledge of Cloud Computing (AWS, Azure, 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 is eager to grow in a dynamic environment, this opportunity might be the right fit for you.,

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Engineer - MLOps