Quality Engineer
HMH
- Pune, Maharashtra
- Permanent
- Full-time
- Research, design, and develop deep learning models for computer vision, image enhancement, background removal, object detection, OCR, and visual automation.
- Fine-tune transformer and generative AI models (LLMs, GANs, Diffusion models) for domain-specific applications.
- Deploy AI solutions on AWS cloud (EC2, S3, Lambda) with scalable and production-ready pipelines.
- Develop Dockerized microservices for smooth integration into enterprise workflows.
- Experiment with emerging AI frameworks (Hugging Face, LangGraph, CrewAI, AutoGen, OpenAI SDK) to build innovative prototypes.
- Collaborate with cross-functional teams to integrate AI solutions into production systems.
- Conduct research experiments, document findings, and continuously improve model performance.
- Build automation systems for visual and language content workflows in enterprise settings.
- Strong programming skills in Python, OpenCV, PyTorch, TensorFlow, Keras, Scikit-Learn, Numpy.
- Experience with computer vision techniques (YOLO, OCR, background expansion, image restoration).
- Knowledge of NLP, LLMs, agentic AI frameworks, and generative models.
- Hands-on expertise with GANs, Stable Diffusion, Autoencoders.
- Cloud & DevOps: AWS, Docker, CI/CD, scalable deployments.
- Strong foundation in mathematics, probability, and statistics.
- Ability to research and implement cutting-edge AI solutions for enterprise-grade use cases.
- Bachelor’s Degree in Electronics Engineering.
- Post Graduate Program in Data Science & Data Analytics.
- 4+ years of professional experience in AI, ML, and Computer Vision projects across global clients.
- Experience with educational AI tools (OCR for math equations, chemistry parsers, automated grading systems).
- Prior work on visual automation for enterprise creative workflows.
- Familiarity with multi-agent AI frameworks for task automation.