Python ML Engineer

Role: Python ML Engineer

Responsibility: -

Core Engineering & MLOps Skills

• Building and managing end-to-end ML workflows, including data preparation, feature engineering, training, evaluation, deployment, and monitoring.
• Designing and maintaining robust ETL/ELT pipelines in Python for telecom and security data.
• Implementing distributed data processing using Spark/PySpark.
• Developing ingestion, normalization, enrichment, and data quality validation frameworks.
• Working with Hadoop ecosystems (HDFS, YARN, Hive).
• Deploying and operating batch and near real-time inference pipelines.
• Hands-on experience with ClickHouse schema design, query optimization, and performance tuning.
• Strong debugging, incident management, and reliability engineering skills.

AI Tools &AI-Assisted Engineering Skills

• Practical experience with AI-powered development tools such as GitHub Copilot, Claude, or ChatGPT.
• Knowledge of prompt engineering, AI-assisted code development, testing, code reviews, and technical documentation.
• Exposure to AI agents, MCP, RAG, or automated engineering workflows is an added advantage.

Experience:

Educational Qualification

• Bachelor’s or Master’s degree in engineering, Computer Science, Electronics, Telecommunications, or related field.

Location