Description

You will design, build, and deploy scalable AI/ML and Generative AI solutions including prediction systems, recommendation engines, and chatbots.

Responsibilities

• Build and deploy advanced ML models using TensorFlow, PyTorch, Keras, and scikit-learn.
• Implement Retrieval-Augmented Generation (RAG) pipelines using LangChain, LlamaIndex, and vector databases like FAISS and Milvus.
• Integrate and manage LLM APIs from Hugging Face, OpenAI, Google Vertex AI, and AWS Bedrock.
• Design and develop scalable APIs using Python frameworks such as Flask, Django, or FastAPI.
• Apply deep knowledge of statistics, NLP, and generative models, including GANs and transformers.

Required Skills

• 10+ years of experience in Predictive Analytics, Data Integration, System Design, AI/ML, or MLOps.
• 5+ years of hands-on experience with Python and data science packages.
• 3+ years architecting high-impact GenAI solutions, preferably in Private AI and Smart Agentic Solutions.
• Strong understanding of LLM technologies, embedding models, and cloud-based AI services.
• Proficiency with ML frameworks: TensorFlow, PyTorch, Keras, SpaCy.
• Experience with Python web frameworks: Flask, FastAPI, Django.
• Hands-on experience with cloud AI platforms including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.

Preferred Skills

• Education: Any Graduate.
• Job tenure: 2 years or more in previous roles.

Key Skills

Education

Any Gradute