Valuebound - MLOps Engineer - Data Modeling

3 days ago


Chennai, India Valuebound Full time

Responsibilities : - Manage Data : Extract, clean, and structure both structured and unstructured data.- Coordinate Pipelines : Utilize tools such as Airflow, Step Functions, or Azure Data Factory to orchestrate data workflows.- Deploy Models : Develop, fine-tune, and deploy models using platforms like SageMaker, Azure ML, or Vertex AI.- Scale Solutions : Leverage Spark or Databricks to handle large-scale data processing tasks.- Automate Processes : Implement automation using tools like Docker, Kubernetes, CI/CD pipelines, MLFlow, Seldon, and Kubeflow.- Collaborate Effectively : Work alongside engineers, architects, and business stakeholders to address and resolve real-world problems efficiently.Requirements : - 3+ years of hands-on experience in MLOps (4-5 years of overall software development experience).- Extensive experience with at least one major cloud provider (AWS, Azure, or GCP).- Proficiency in using Databricks, Spark, Python, SQL, TensorFlow, PyTorch, and Scikit-learn.- Expertise in debugging Kubernetes and creating efficient Dockerfiles.- Experience in prototyping with open-source tools and scaling solutions effectively.- Strong analytical skills, humility, and a proactive approach to problem-solving.- Experience with SageMaker, Azure ML, or Vertex AI in a production environment.- Commitment to writing clean code, creating clear documentation, and maintaining concise pull request (ref:hirist.tech)


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