- 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 .
- Strong 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 , stable diffusion , and video generation models

📌 Generative AI Engineer || Immediate Joiner (Gurugram)
🏢 Radiansys Technologies
📍 Gurugram