AI/ML Software Developer

As an AI/ML Software Developer at our company in Mumbai, your role will involve designing, developing, and deploying scalable machine learning solutions and intelligent multi-agent systems. You should have hands-on experience with deep learning frameworks, NLP, computer vision, and reinforcement learning to build end-to-end AI applications. Key Responsibilities: - Develop, train, and optimize machine learning and deep learning models for real-world applications. - Build and deploy scalable AI workflows on cloud platforms such as AWS SageMaker and Google AI Platform. - Architect and implement multi-agent systems leveraging reinforcement learning (RL) for automated decision-making. - Develop computer vision pipelines using YOLO, OpenCV, Grounding DINO, and SAM for object detection and segmentation. - Implement NLP solutions using transformer-based models (BERT, GPT, etc.) for chatbot and automation systems. - Design and manage ETL pipelines and data preprocessing workflows using tools like Kafka and PySpark. - Integrate AI components with web frameworks (FastAPI, Next.js) for real-time and interactive user experiences. - Collaborate with cross-functional teams to optimize models for performance and scalability using ONNX and TensorRT. - Research and apply cutting-edge AI agentic workflows with tools like LangChain, LangGraph, and CrewAI. Requirements: - Programming: Python, C++, JavaScript - Frameworks: TensorFlow, PyTorch, Keras, scikit-learn, FastAPI - AI/ML Concepts: Reinforcement Learning, NLP, Computer Vision, Deep Learning - Databases: SQL, NoSQL (MongoDB, Firebase), Vector Databases - Tools & Platforms: PySpark, Kafka, AWS, Google Cloud, Git, GitHub, Bitbucket - Optimization & Deployment: ONNX, TensorRT, LoRA/QLoRA - Agentic AI & LLM Tools: LangChain, LangGraph, RAG, CrewAI, AutoGen Preferred Experience (Projects or Similar Work): - Retail AI Solutions: Automated product recognition and billing systems using VLLM and segmentation models. - Conversational AI: Voice-enabled NLP chatbots for customer support using transformer models and Eleven Labs. - Financial AI Systems: Multi-agent loan processing systems integrating OCR, NLP, and reinforcement learning for underwriting. Qualifications: - B.Tech in Computer Science or related field (preferred: AI/ML specialization). - 1-2 years of hands-on experience in AI/ML software development. (Note: Immediate joiner preferred),