Quality Engineer

About the Role:

We are seeking a highly skilled AI Developer with expertise in Deep Learning, and Generative AI to design, build, and deploy scalable AI solutions. The role involves working on image/video processing, NLP, multi-agent systems, and enterprise-grade automation workflows. The ideal candidate is passionate about research-driven development and creating high-impact AI tools for real-world applications.

Key Responsibilities

• 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.

Required Skills & Expertise

• 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.

Qualifications

• Bachelors 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.

Nice-to-Have

• 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.