Machine Learning Specialist

4 weeks ago

Gurugram Gurugram India Rashmi Group Full time

Job Description KEY ACCOUNTABILITIES - Design and implement scalable ML infrastructure on Databricks Lakehouse Platform - Develop and maintain continuous integration and continuous deployment (CI/CD) pipelines for machine learning models using Databricks workflows. - Create automated testing and validation processes for machine learning models with Databricks MLflow - Implement and manage model monitoring systems using Databricks Model Registry and monitoring tools - Collaborate with data scientists, software engineers, and product teams to optimize machine learning workflows on Databricks. - Develop and maintain reproducible machine learning environments using Databricks Notebooks and clusters. - Implement advanced feature engineering and management using Databricks Feature Store - Optimize machine learning model performance using Databricks runtime and optimization techniques. - Ensure data governance, security, and compliance within the Databricks environment. - Create and maintain comprehensive documentation for ML infrastructure and processes. - Working across teams from several suppliers (including IT Provision, system development, business units and Programme management). - Continuous improvement and transformation initiatives for MLOps / DataOps in RSA FUNCTIONAL / TECHNICAL SKILLS - Bachelor's or master's degree in computer science, Machine Learning, Data Engineering, or related field - 3-5 years of experience in ML Ops with demonstrated expertise in Databricks and/or Azure ML - Advanced proficiency with Databricks Lakehouse Platform - Strong experience with Databricks MLflow for experiment tracking and model management - Expert-level programming skills in Python, with advanced knowledge of: - PySpark - MLlib - Delta Lake - Azure ML SDK - Deep understanding of Databricks Feature Store and Feature Engineering techniques - Experience with Databricks workflows and job scheduling - Proficiency in machine learning frameworks compatible with Databricks and Azure ML (TensorFlow, PyTorch, scikit-learn) - Strong knowledge of cloud platforms, including Azure Databricks, Azure DevOps, Azure ML - Strong exposure to Terraform, ARM/BICEP - Understanding of distributed computing and big data processing techniques - Experience with Containerisation, WebApps Kubernetes, Cognitive Services and other MLOps tools will be a plus.

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