Machine Learning Engineer

Key Responsibilities :

• Design and develop scalable data pipelines across Hadoop (Hive, Impala, Spark, Kafka, Iceberg) and Teradata environments.
• Build ingestion and transformation frameworks using Java, Spark, Python and shell scripts.
• Develop full stack applications and internal tools using Python, Shell scripting, and modern web frameworks (e.g., Flask, React).
• Create APIs and microservices to expose data and ML models securely to downstream systems and user interfaces.
• Collaborate with data scientists to operationalize ML models using Cloudera Machine Learning (CML)
• Build and deploy GenAI / LLM-powered applications for intelligent data interaction, summarization, and automation.
• Implement enterprise-grade security controls including RBAC, LDAP, Kerberos, Apache Ranger, and row-level access.
• Tune and optimize data applications for performance across Hadoop and Teradata, ensuring efficient resource utilization.
• Support sandbox environments for prototyping, enabling users to build ML models, dashboards, and data pipelines.

Required Skills & Experience :

Skills Required

Python, Tensorflow, Deep Learning, Data Analysis, Sql, Cloud Computing, Machine Learning, Big Data, Hadoop, Kafka, Pyt, Ml, Java, Cdp