AI/ML Engineer

AI/ML EngineerExperience : 3+ years of overall experience

Primary Skills (Must Have) :

• AI

• ML

• Python

• NLP

• RAG

• OCR

• Deep Learning

• Computer Vision

• Vector DB, AWS/Azure

Location : Hyderabad (Hybrid)

Shift (IST Hours) : General Shift

Job Description :

We are looking for a skilled AI/ML Engineer to join our team in Hyderabad. You will design, build, and deploy intelligent systems spanning NLP, Computer Vision, OCR, Deep Learning, and RAG-based retrieval pipelines. You will own the full lifecycle from model development to production deployment on AWS or Azure.

Key Responsibilities :

• Design and develop end-to-end ML pipelines using Python for training, evaluation, and production deployment.

• Build NLP solutions including text classification, named entity recognition (NER), summarisation, semantic search, and question answering using transformer models such as BERT, RoBERTa, and T5.

• Implement OCR pipelines using Tesseract, PaddleOCR, or EasyOCR for intelligent document processing and extraction from unstructured sources (PDFs, scanned files, images).

• Build and fine-tune deep learning models using TensorFlow or PyTorch, including CNNs, RNNs, and Transformer architectures.

• Develop computer vision models for image classification, object detection, image segmentation, and visual recognition tasks.

• Design and maintain RAG pipelines covering document ingestion, chunking, embedding generation, and retrieval optimisation using vector databases.

• Work with vector databases such as Pinecone, Weaviate, FAISS, or ChromaDB for semantic search and knowledge retrieval.

• Deploy and manage AI/ML models on AWS (SageMaker, EC2, Lambda, S3) or Azure (Azure ML, Cognitive Services).

• Build and expose ML models as REST APIs using FastAPI or Flask for downstream integration.

• Track experiments, manage model versioning, and monitor drift using MLflow, Weights and Biases, or similar MLOps tools.

• Containerise and orchestrate ML workloads using Docker and Kubernetes for scalable model serving.

• Collaborate with product, backend, and data engineering teams to integrate AI solutions into production systems.

Required Skills and Experience :