AI / ML Engineer
cittabase
Job Description
- Design, develop, train, and deploy machine learning and Generative AI models for real-world business use cases including prediction, automation, NLP, and decision intelligence.
- Build and optimize LLM-powered applications such as chatbots, document intelligence systems, summarization engines, and RAG (Retrieval-Augmented Generation) pipelines with hands-on experience in LLMs, embeddings, vector search, and RAG architectures.
- Perform data preprocessing, feature engineering, model evaluation, and hyperparameter tuning to ensure accuracy, reliability, and scalability.
- Develop and manage end-to-end ML and GenAI pipelines, including training, validation, versioning, deployment, monitoring, and optimization.
- Work with Snowflake, Databricks and other cloud platforms (GCP, AWS, Azure) to enable scalable data-driven AI solutions.
- Monitor model performance, drift, cost, and latency, and apply continuous optimization to production AI systems.
- Collaborate with cross-functional teams to translate business problems into scalable AI solutions.
- Apply AI governance, security, and responsible AI practices across ML and LLM systems.