Overview We are hiring a Machine Learning Engineer with strong experience in Computer Vision , Natural Language Processing (NLP) , and Backend Development . You’ll be responsible for training and deploying deep learning models, implementing research papers, and building production-ready APIs using Flask, FastAPI, or Django. Key Responsibilities Develop ML/DL models for: Computer Vision : classification, object detection, segmentation. NLP : text classification, NER, summarization. Implement research papers and build production-ready prototypes. Use libraries such as PyTorch , OpenCV , Pillow , TorchVision , and Transformers . Optimize models with techniques like quantization , pruning , ONNX export , and TorchScript . Build and deploy RESTful APIs using FastAPI , Flask , or Django . Containerize applications using Docker and deploy them to cloud or local servers. Write clean, efficient, and scalable code for backend and ML pipelines. Required Skills Solid understanding of Machine Learning and Deep Learning . Experience with: PyTorch , OpenCV , Pillow Computer Vision (detection, segmentation, classification) NLP libraries like Hugging Face Transformers , spaCy , NLTK Strong backend skills using FastAPI , Flask , or Django . Familiar with Docker , Git , and Linux environments. Experience with model deployment and optimization tools (ONNX, TorchScript). Nice to Have Knowledge of Generative AI / LLMs Experience with ONNX , TensorRT , or TorchScript MLOps tools: MLflow , DVC , Airflow Experience with Cloud platforms (AWS, GCP, Azure) Qualifications Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or a related field. Job Type: Full-time Pay: ₹272,876.24 - ₹1,548,746.18 per year Schedule: Evening shift Monday to Friday Work Location: In person