ML Engineer I AI Engineer

Role description AI Engineer Experience Range: 4-10+ Years (AI/ML Engineering, Generative AI, or Data Science Experience) Hiring Location: Trivandrum, Cochin, Pune, Noida, Chennai, Bangalore, Hyderabad Must-Have Skills AI & Machine Learning Strong experience in designing, developing, testing, and deploying AI/ML solutions. Hands-on experience with Generative AI and Large Language Models (LLMs) such as: OpenAI Anthropic Llama Experience with prompt engineering and AI application development. Knowledge of Machine Learning and Deep Learning concepts. Programming & Data Engineering Strong programming skills in: Python SQL Experience building and optimizing data pipelines for AI model training and inference. Experience developing scalable APIs and AI-powered services. Generative AI & RAG Experience building: Retrieval-Augmented Generation (RAG) solutions AI Agents / Agentic AI applications LLM-based enterprise applications Knowledge of: Vector Databases Semantic Search Knowledge Retrieval Architectures Cloud & DevOps Experience with at least one cloud platform: Microsoft Azure AWS Google Cloud Platform (GCP) Experience with: REST APIs Git Software Development Best Practices MLOps & Model Lifecycle Management Experience implementing MLOps practices including: Model Deployment Monitoring Testing Versioning Lifecycle Management Ability to evaluate, fine-tune, and monitor AI models for accuracy and performance. Soft Skills Strong analytical and problem-solving skills. Excellent communication and stakeholder management capabilities. Ability to collaborate with business, data, and engineering teams. Experience translating business requirements into AI solutions. Good-to-Have Skills AI Frameworks & Tools LangChain LangGraph Semantic Kernel Agentic AI Testing & Output Validation Data Platforms Snowflake Databricks Modern Data Platforms Containerization & DevOps Docker Kubernetes CI/CD Pipelines Analytics & Visualization Streamlit Power BI Tableau AI-powered Analytics Dashboard Development Advanced AI Technologies Vector Databases Semantic Search RAG Optimization Techniques LLM Fine-Tuning Multi-Agent Frameworks Governance & Security Responsible AI practices AI Governance Enterprise Security Standards AI Compliance Frameworks Skills Agentic AI, Databricks, Generative AI, Machine Learning, Python, RAG, LLMs, Snowflake, Prompt Engineering, MLOps, LangChain About UST UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the worlds best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients organizations. With over 30,000 employees in 30 countries, UST builds for boundless impacttouching billions of lives in the process. .