TransUnion CIBIL : AI/ML Developer

FieldDetails
Job TitleAI/ML Developer
Job Requisition ID19038902
LocationChennai / Bengaluru
Time TypeFull time
Work ModeHybrid (minimum 2 days/week in office)
Application Deadline24 April 2026
Role OverviewDesign and deliver enterprise-scale AI/GenAI solutions including LLM applications, RAG pipelines, vector search, streaming systems, and cloud-native AI platforms using Python and Java.
Architecture Responsibilities– Architect end-to-end AI platforms with LLM, RAG, vector search, streaming- Define REST/gRPC APIs, OAuth2/OIDC security, observability- Establish ML governance, versioning, monitoring, reproducibility (MLflow/DVC)
LLM & GenAI Work– LLM fine-tuning, evaluation, deployment- Build RAG pipelines with Elasticsearch/OpenSearch and vector DBs- Use LangChain, LangGraph, LangChain4j- Optimize embeddings, retrieval, ranking, latency and cost
Programming Skills– Python (PyTorch, TensorFlow, FastAPI, Flask)- Java (Spring Boot, Quarkus, Micronaut, Vert.x)- SQL/NoSQL (PostgreSQL, MongoDB, Cassandra), Redis
AI/ML Tools & Platforms– Hugging Face, scikit-learn- DJL, ONNX Runtime Java, TensorFlow Java- Spark / Databricks MLlib
Vector & Search Technologies– Pinecone, Weaviate, pgvector- Elasticsearch / OpenSearch / Lucene
Streaming & MessagingKafka, gRPC, event-driven architecture
Cloud & MLOps– GCP (Vertex AI mandatory)- AWS / Azure (preferred)- Docker, Kubernetes, Helm- Terraform, Jenkins, GitHub Actions- KServe / Seldon Core
Leadership Responsibilities– Mentor engineers and data scientists- Define architecture standards and best practices- Lead AI/ML projects end-to-end- Work with business stakeholders
Analytics SkillsStatistics, hypothesis testing, A/B testing, experimentation
Preferred SkillsReinforcement learning, meta-learning, Databricks, OpenTelemetry, service mesh, Vault
Impact ExpectedBuild scalable enterprise AI platforms, production LLM/RAG systems, AI architecture standards, reusable AI frameworks

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