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About the role
We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making. Key Responsibilities: Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases. Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting. Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.). Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems. Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval. Develop end-to-end AI/ML pipelines from data preprocessing to deployment. Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools. Optimize models for performance, scalability, and reliability. Maintain documentation and promote knowledge sharing within the team. Mandatory Requirements: 4+ years of relevant experience as an AI/ML Engineer. Hands-on experience in Generative AI and Large Language Models (LLMs) Mandatory. Experience implementing RAG pipelines and prompt engineering techniques. Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Experience with vector databases (FAISS, Pinecone, ChromaDB). Strong understanding of SQL and database systems. Experience integrating AI solutions into BI tools (Power BI, Tableau). Strong analytical, problem-solving, and communication skills. Good to Have Experience with cloud platforms (AWS, Azure, GCP). Experience with Docker or Kubernetes. Exposure to NLP, computer vision, or deep learning use cases. Experience in MLOps and CI/CD pipelines We are seeking a talented AI/ML Engineer with strong hands-on experience in Generative AI and Large Language Models (LLMs) to join our Business Intelligence team. The role involves designing, developing, and deploying advanced AI/ML and GenAI-driven solutions to unlock business insights and enhance data-driven decision-making. Key Responsibilities: Collaborate with business analysts and stakeholders to identify AI/ML and Generative AI use cases. Design and implement ML models for predictive analytics, segmentation, anomaly detection, and forecasting. Develop and deploy Generative AI solutions using LLMs (GPT, LLaMA, Mistral, etc.). Build and maintain Retrieval-Augmented Generation (RAG) pipelines and semantic search systems. Work with vector databases (FAISS, Pinecone, ChromaDB) for embedding storage and retrieval. Develop end-to-end AI/ML pipelines from data preprocessing to deployment. Integrate AI/ML and GenAI solutions into BI dashboards and reporting tools. Optimize models for performance, scalability, and reliability. Maintain documentation and promote knowledge sharing within the team. Mandatory Requirements: 4+ years of relevant experience as an AI/ML Engineer. Hands-on experience in Generative AI and Large Language Models (LLMs) Mandatory. Experience implementing RAG pipelines and prompt engineering techniques. Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, scikit-learn). Experience with vector databases (FAISS, Pinecone, ChromaDB). Strong understanding of SQL and database systems. Experience integrating AI solutions into BI tools (Power BI, Tableau). Strong analytical, problem-solving, and communication skills. Good to Have Experience with cloud platforms (AWS, Azure, GCP). Experience with Docker or Kubernetes. Exposure to NLP, computer vision, or deep learning use cases. Experience in MLOps and CI/CD pipelines