Role Overview
We are seeking a highly skilled AI Engineer to design, develop, deploy, and optimize Artificial Intelligence and Machine Learning solutions that address complex business challenges. The ideal candidate will have expertise in machine learning, deep learning, Generative AI, Large Language Models (LLMs), data engineering, and cloud platforms, with the ability to build scalable AI-powered applications for enterprise environments.

Responsibilities
Key Responsibilities
AI & Machine Learning Development
• Design, develop, and deploy machine learning and deep learning models.
• Build AI-powered solutions for prediction, recommendation, classification, and automation.
• Develop and optimize Generative AI applications using Large Language Models (LLMs).
• Fine-tune foundation models for domain-specific use cases.

Generative AI & LLM Engineering
• Develop applications using OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar models.
• Implement Retrieval-Augmented Generation (RAG) architectures.
• Design prompt engineering strategies and AI orchestration workflows.




• Build AI agents and conversational AI solutions.
• Evaluate model performance, bias, accuracy, and reliability.

Data Engineering & Analytics
• Collect, clean, process, and analyze large datasets.
• Design and implement data pipelines for AI workloads.
• Work with structured and unstructured data sources.
• Develop feature engineering and model training frameworks.

MLOps & Deployment
• Deploy AI models into production environments.
• Implement CI/CD pipelines for AI applications.
• Monitor model performance and drift.
• Establish model governance, versioning, and observability frameworks.
• Automate retraining and deployment processes.

Cloud & Platform Engineering
• Build AI solutions on AWS, Azure, or Google Cloud Platform.
• Utilize AI/ML services such as Azure AI Services, SageMaker, Vertex AI, or equivalent platforms.
• Optimize model performance, scalability, and cost efficiency.
• Ensur

📌 AI Engineer (India)
🏢 Zensar
📍 India