Data Science Professional

Job Title: Data Science Professional

Req ID: 62277

Job Function: Software Engineering

Posting Start Date: 20/09/2026

Posting End Date: 25/09/2026

Division: Digital

Job Location: IND-Bengaluru-RMZ Ecoworld

Advertised Salary: Competitive

Job Req ID: 61588

Posting Date: 03 Sep 2026

Location: Bengaluru

Salary: Competitive

About The Role

You will build and own scoped AI service features within the Mind.AI platform. You work within the architecture set by the Lead AI Engineer, take feature specifications and deliver production-quality implementations: a chunking strategy module, a guardrail model integration, an embedding pipeline stage, a RAGAS metric computation job. You are expected to work independently within scope - take ownership, write tests, benchmark your work, and ship to the Lead's quality bar.

You have built ML or AI features in production before. You know that a model that scores well in a notebook evaluation is not done - it needs to be packaged, served, monitored, and maintained. You are comfortable with the full lifecycle from experiment to production deployment.

What You’ll Be Doing

RAG & Knowledge RetrievalBuild and optimise enterprise-grade RAG pipelines for accurate knowledge retrievalDevelop document ingestion, indexing, embedding, and retrieval workflowsImplement hybrid search, re-ranking, and citation-based response generationImprove retrieval quality, relevance, and scalability across large knowledge basesAI Safety & GuardrailsImplement PII detection, data protection, and content redaction controlsIntegrate prompt injection, toxicity, and misuse detection mechanismsBuild AI guardrails to ensure safe, compliant, and trustworthy responsesDevelop automated response quality and faithfulness evaluation frameworksMemory & Knowledge ManagementDesign and implement long-term AI memory frameworksBuild user, agent, and organisational knowledge retention capabilitiesDevelop knowledge graph and graph-based retrieval solutionsOptimise context management through intelligent summarisation and memory retrievalEvaluation & OptimisationDefine and implement AI evaluation metrics and testing frameworksCreate and maintain golden datasets for model validationConduct experiments to improve retrieval, reasoning, and response qualityDrive continuous performance optimisation through benchmarking and analyticsPlatform EngineeringDesign scalable, production-ready AI services and APIsOptimise latency, throughput, reliability, and cost of AI workloadsBuild monitoring, observability, and auditability for AI systemsCollaborate with platform, data, and product teams to deliver enterprise AI solutionsAgentic AI & Multi-Agent SystemsDesign and develop autonomous AI agents and multi-agent workflowsBuild orchestration frameworks for planning, reasoning, and task executionImplement agent memory, tool calling, and decision-making capabilitiesEnable enterprise-scale deployment, governance, and monitoring of agentic solutions

Essential Skills / Experience

Systems Architecture Experience with distributed systems and microservices architecture. Knowledge of event-driven systems using Kafka and NATS. Skilled in REST APIs, real-time communication, API security, JWT, rate limiting, and resilience patterns. LLM Orchestration & Agentic AI Experience building AI agents using LangChain and LangGraph. Skilled in single-agent and multi-agent workflows, including ReAct, Planning, and Tool-Use patterns. Strong understanding of prompt engineering, context management, memory, and multi-LLM integration. Python & AI/ML Stack Strong programming skills in Python, FastAPI, and Pydantic. Experience with NLP and AI frameworks including SpaCy, Sentence Transformers, PyTorch, and Hugging Face. Knowledge of ONNX, LoRA/QLoRA fine-tuning, vLLM, LangChain, LangGraph, and RAGAS. Retrieval & Search Experience designing Retrieval-Augmented Generation (RAG) solutions. Skilled in document chunking, embeddings, vector databases, and Elasticsearch (BM25). Knowledge of hybrid search and cross-encoder re-ranking techniques. Evaluation, Safety & Responsible AI Experience with AI evaluation frameworks such as RAGAS and DeepEval. Skilled in benchmarking, LLM-as-a-Judge, and human-in-the-loop evaluation. Knowledge of AI safety, prompt injection prevention, red teaming, and industry safety benchmarks. Data Platforms Experience with PostgreSQL, pgvector, and Redis. Knowledge of Kafka for event streaming and data processing. Skilled in building and working with Neo4j knowledge graphs.

Desirable Skills / Experience

Data Platforms & Infrastructure Experience working with ClickHouse for high-performance analytics and data processing. Knowledge of containerization and deployment using Docker and Kubernetes. Skilled in building and managing scalable and cloud-native infrastructure. Observability & MLOps Experience with OpenTelemetry, Dynatrace, and MLflow for monitoring and model management. Skilled in implementing observability through logging, monitoring, and distributed tracing. Knowledge of performance optimization, model tracking, and operationalizing AI/ML workloads.

BT is the UK’s leading communications group and the holding company behind some of the country’s most recognised brands – including BT, EE, Openreach and Plusnet. Our purpose is as simple as it is ambitious: we connect for good. Our customers include consumers, small, medium and large businesses, public sector organisations and other communications providers.

Having come through the most capital-intensive phase of our fibre investment, our focus now is on what comes next – simplifying how we operate, using technology and AI to work smarter, and organising ourselves to serve customers better and grow sustainably.

We have a singular culture that unites all our people: we are customer-first challengers, who are committed, clear and connected. These behaviours unite us as one team to deliver for our colleagues, our customers, our stakeholders and the country. Joining BT means working at the heart of a business that matters to the UK, with the opportunity to shape decisions, influence outcomes and help set the future course of one of the country’s most important companies.