
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

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