1 - 6 years
9 - 16 Lacs
Posted:1 month ago|
Platform:
Work from Office
Full Time
We are seeking a talented AI Engineer to join our team. The ideal candidate will have expertise in machine learning, NLP, deep learning, and deploying AI models, with experience in advanced tools and frameworks across AI and backend development. Responsibilities: 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 stable 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 .
Radiansys Technologies
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