- 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 secure 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