| Job Title | Sr AI/ML Developer |
| Company | TransUnion |
| Locations | Chennai, Pune, Bengaluru |
| Job Type | Full-time |
| Job Requisition ID | 19039765 |
| Posted On | Posted Today |
| Application Deadline | 30 April 2026 |
| Work Mode | Hybrid (minimum 2 days/week office) |
| Role Summary | Lead design and delivery of enterprise-scale AI/GenAI solutions including LLM applications, RAG pipelines, real-time processing, and cloud-native AI platforms using Python and Java. |
| Experience Level | Senior / Technical Leader |
| Core Responsibilities | Architect end-to-end AI platforms; build LLM and RAG pipelines; define architecture standards; lead AI solution delivery; optimize AI models and pipelines; manage ML lifecycle; mentor engineers and data scientists; drive AI innovation and PoCs; collaborate with business stakeholders. |
| AI / ML Technologies | LLMs, RAG, LangChain, LangGraph, LangChain4j, Hugging Face, PyTorch, TensorFlow, scikit-learn |
| Programming Languages | Python, Java |
| Java Frameworks | Spring Boot, Quarkus, Micronaut, Vert.x |
| APIs & Services | FastAPI, Flask, REST APIs, gRPC |
| Databases | PostgreSQL, MongoDB, Cassandra, Redis, SQL/NoSQL |
| Vector & Search | Elasticsearch, OpenSearch, Pinecone, Weaviate, pgvector |
| Streaming & Messaging | Kafka, event-driven architecture |
| Cloud Platforms | Google Cloud (mandatory), AWS, Azure |
| MLOps Tools | MLflow, DVC, CI/CD (Jenkins, GitHub Actions, Azure DevOps), Terraform |
| Containers & DevOps | Docker, Kubernetes, Helm, KServe, Seldon |
| AI Deployment | ONNX Runtime Java, DJL (Deep Java Library), TensorFlow Java |
| Big Data Tools | Spark, Databricks MLlib |
| Additional AI Tools | CrewAI, AutoGen, Semantic Kernel, LlamaIndex, Ray Serve, Langfuse, TruLens |
| Leadership Responsibilities | Mentor engineers and architects; define architecture standards; lead AI projects; collaborate with vendors and stakeholders; promote responsible AI practices. |
| Analytical Skills | Statistics, hypothesis testing, A/B testing, experimental design |
| Preferred Skills | Reinforcement learning, unsupervised learning, OSS contributions, publications, Databricks, OpenTelemetry |
| Impact | Build enterprise AI platforms, implement GenAI solutions, lead AI transformation initiatives, and drive AI innovation across the organization. |
