MLops - AWS & Pyspark-Immediate joiners only (Pune)

MLOps Engineer Location: Bangalore / Pune / Gurgaon Experience: 5-7 Years Notice Period: Immediate Joiners Preferred Key Responsibilities - Support end-to-end ML model lifecycle including deployment, monitoring, optimization, and production support. - Implement and maintain MLOps frameworks for scalable and reliable model operations. - Work with data science and engineering teams to operationalize AI/ML solutions. - Ensure model governance, monitoring, and compliance across environments. Required Skills - Solid experience in MLOps and Machine Learning lifecycle management. - Hands-on experience in Python and PySpark. - Experience with Hadoop ecosystem (HDFS, Hive, Spark). - Exposure to AWS and/or Databricks platforms. - Understanding of data pipelines, feature engineering, and large-scale data processing. - Experience supporting ML models across Development, UAT, and Production environments. Good to Have - MLflow, Airflow, Docker. - CI/CD tools such as Jenkins, GitLab, Git-based workflows. - AWS services: S3, IAM, CloudWatch, EMR, Glue. - Knowledge of data lakes, data warehouses, and distributed storage systems. - Experience in model monitoring, performance tracking, data governance, and model governance. Ideal Candidate: Strong MLOps professional with experience in cloud-native ML deployments, Databricks/AWS ecosystem, and scalable data engineering environments. .