Develop and deploy AI models using machine learning , deep learning (CNNs, RNNs, LSTMs), and NLP (GPT , BERT ).
Work with advanced AI frameworks (Langchain , AutoGen , Streamlit ) and backend frameworks (FastAPI , Flask ).
Implement reinforcement learning and autonomous decision-making systems.
Leverage cloud platforms (AWS: Bedrock, Sagemaker ) for model deployment and scalability.
Integrate third-party services (OpenAI , Azure Foundry ) and tools (RelevanceAI , Huggingface ).
Work with databases (MongoDB , Postgres , Redis ) and distributed systems.
Utilize advanced AI techniques like RAG , fine-tuning , LoRA , QLoRA , multi-model systems , and reliable diffusion .
Explore AI applications in video generation models (text-to-video , image-to-video ).

Skills Needed:




Expertise in AI frameworks : Langchain , AutoGen , Streamlit .
Solid experience with FastAPI , Flask , and cloud platforms (AWS , Bedrock , Sagemaker ).
Knowledge of third-party services (OpenAI , Azure Foundry ) and tools (RelevanceAI , Huggingface ).
Solid experience with databases (MongoDB , Postgres , Redis ).
Proficient in machine learning , deep learning , NLP , and reinforcement learning .
Hands-on experience with advanced AI techniques: RAG , fine-tuning , LoRA , QLoRA , SLM , LLM , reliable diffusion , and video generation models

📌 Generative Ai Engineer Immediate Joiner Gurugram
🏢 Radiansys Technologies
📍 Gurugram