NTT DATA - Machine Learning Engineer - Artificial Intelligence

Key Responsibilities :- Design, develop, and maintain end-to-end machine learning pipelines- Build scalable ML frameworks and reusable pipeline components- Develop large-scale data processing and feature engineering workflows using PySpark- Deploy and manage machine learning models in production environments- Build and maintain real-time model-serving APIs using FastAPI, Flask, or similar frameworks- Optimize model inference performance, scalability, and latency- Implement monitoring, logging, and model governance frameworks- Develop streaming data pipelines using Kafka, Pub/Sub, Spark Streaming, or similar technologies- Collaborate with Data Scientists, Data Engineers, and Platform teams to operationalize ML solutions- Ensure model reproducibility, versioning, and CI/CD integration- Troubleshoot production ML systems and improve reliabilityRequired Skills & Experience :- Strong proficiency in Python- Hands-on experience with Apache Spark / PySpark- Experience building and managing end-to-end ML pipelines- Strong understanding of ML model lifecycle management- Experience developing REST API-based model-serving solutions- Hands-on experience with FastAPI, Flask, or similar frameworks- Strong knowledge of scalable and low-latency inference architectures- Experience with feature engineering and batch inference systems- Knowledge of streaming technologies such as:1. Kafka2. Google Pub/Sub3. Spark Streaming4. Logstash- Experience with reusable and configuration-driven ML frameworksGood to Have :- Experience with real-time or near-real-time data ingestion pipelines- Familiarity with Docker and Kubernetes- Experience with Google Cloud Vertex AI- Knowledge of MLOps practices and model governance- Experience with CI/CD pipelines for machine learning- Understanding of model versioning, monitoring, and reproducibility frameworksPreferred Candidate Profile :- Strong problem-solving and analytical skills- Experience working with production-scale AI/ML systems- Ability to work in a fast-paced enterprise environment- Excellent communication and collaboration skills- Ready to work from client office in Bangalore or Hyderabad (ref:hirist.tech)