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 reliability

Required 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. Kafka

2. Google Pub/Sub

3. Spark Streaming

4. Logstash

- Experience with reusable and configuration-driven ML frameworks

Good 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 frameworks

Preferred 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