Snr AI

Key Responsibilities 1. AI/ML Solution Development Design, build, and deploy machine learning and generative AI models (LLMs, embeddings, transformers, RAG pipelines, etc.). Develop scalable AI services and microservices using Python, REST APIs, and cloud-native technologies. Optimize models for performance, accuracy, and cost efficiency. 2. Data Engineering & Preparation Work with structured and unstructured datasets for feature engineering, vectorization, and model training. Build data pipelines for training, validation, and inference. Collaborate with data engineering teams on data ingestion, storage, and governance. 3. Model Deployment & MLOps Implement CI/CD pipelines for ML models (MLOps). Monitor model performance and drift; implement retraining strategies. Manage model lifecycle management, logging, and observability. 4. AI Architecture & Integration Integrate AI systems with enterprise applications, APIs, and cloud platforms (Azure/AWS/GCP). Build Retrieval-Augmented Generatio...