Data Scientist

Job Location : Bangalore / Hyderabad work mode : Remote Experience : 4-10years Mandatory skills :MLOps maturity models, Databricks, Python and PySpark Deep understanding of MLOps principles, including CI/CD, Continuous Training (CT), Continuous Monitoring (CM), and pipeline automation frameworks. Mastery of Python and PySpark, along with solid experience handling both structured data Strong hands-on experience with Databricks components Ability to design and build scalable data ingestion, transformation, and validation pipelines using tools like Airflow or Databricks Workflows Expertise in GitHub Actions and GitOps practices, along with Infrastructure as Code tools like Terraform for automated provisioning and deployment. Experience in feature engineering, model training/evaluation, and managing end-to-end ML workflows with reproducibility and monitoring Strong familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies such as Docker and Kubernetes Job Location : Bangalore / Hyderabad work mode : Remote Experience : 4-10years Mandatory skills :MLOps maturity models, Databricks, Python and PySpark Deep understanding of MLOps principles, including CI/CD, Continuous Training (CT), Continuous Monitoring (CM), and pipeline automation frameworks. Mastery of Python and PySpark, along with solid experience handling both structured data Strong hands-on experience with Databricks components Ability to design and build scalable data ingestion, transformation, and validation pipelines using tools like Airflow or Databricks Workflows Expertise in GitHub Actions and GitOps practices, along with Infrastructure as Code tools like Terraform for automated provisioning and deployment. Experience in feature engineering, model training/evaluation, and managing end-to-end ML workflows with reproducibility and monitoring Strong familiarity with cloud platforms (AWS, Azure, or GCP) and container technologies such as Docker and Kubernetes