Description

You will design, develop, and implement AI/ML and Generative AI solutions across prediction systems, recommendation engines, text analytics, computer vision, chatbots, and content intelligence platforms.

Responsibilities

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

Required Skills

• 10+ years of experience in projects focused on Predictive Analytics, Data Integration, System Design, AI/ML, or ML Ops.
• 5+ years of experience using Python and relevant packages for ML and data science.
• 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.
• Hands-on experience with cloud AI platforms including Azure OpenAI, Google Vertex Gen AI, and AWS AI services.
• Proficiency with ML frameworks: TensorFlow, PyTorch, Keras, SpaCy.
• Experience with Python web frameworks: Flask, FastAPI, Django.
• Knowledge of AI/ML principles and generative models (GANs, Transformers).

Key Skills

Education

Any Gradute