AI/ML Engineer - Generative AI

Description :

Key Responsibilities :

- Design, develop, and deploy AI/ML and Generative AI solutions at enterprise scale

- Build and productionize RAG (Retrieval-Augmented Generation) systems using vector embeddings and knowledge retrieval pipelines

- Develop and orchestrate AI agents / multi-agent systems for intelligent automation

- Implement ML models across NLP, Computer Vision, and Deep Learning use cases

- Deploy and manage AI workloads using Azure Machine Learning, Azure OpenAI, and Cognitive Services

- Design scalable data pipelines leveraging Azure Data Lake, Databricks, Azure Data Factory, or Kafka

- Implement MLOps practices, including CI/CD pipelines, monitoring, versioning, and containerized deployments

- Ensure security, governance, and compliance of AI solutions in enterprise environments

- Collaborate with cross-functional teams to translate business requirements into AI-driven solutions

Required Skills & Experience :

- 5 - 8 years of experience in AI/ML development, including model design and deployment

- Strong software engineering background with production-grade system development experience

- Hands-on experience with Azure ML, Azure OpenAI, Cognitive Services, and Azure data platforms

- Experience building RAG systems, vector embeddings, and retrieval pipelines

- Proficiency in AI/ML frameworks : TensorFlow, PyTorch, Keras, Scikit-learn

- Experience with vector databases (e.g., FAISS, Pinecone, Azure AI Search, etc.)

- Strong knowledge of MLOps, CI/CD, containerization (Docker/Kubernetes)

- Familiarity with SQL/NoSQL databases, ETL pipelines, and data engineering concepts

Nice to Have / Good to Have :

- Experience with agentic AI orchestration frameworks

- Background in advanced NLP, Computer Vision, or Deep Learning architectures

- Exposure to large-scale, enterprise AI deployments

- Strong analytical, problem-solving, and communication skills