The Job

AI / ML Engineer

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Software Engineering

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In short

Volvo Group is seeking an AI/ML Engineer to join their dedicated AI Hub for Purchasing in Bangalore. This role involves designing, building, and deploying production-ready AI solutions across the full lifecycle, from experimentation to continuous improvement, using Generative AI, LLMs, and traditional ML. You will work on integrating AI into procurement operations, focusing on areas like strategic sourcing, supplier intelligence, and contract management, while ensuring responsible and secure AI practices.

Responsibilities

  • Design and develop AI/ML applications using Generative AI, Large Language Models (LLMs), traditional ML, and emerging AI technologies.
  • Build intelligent applications including AI assistants, copilots, autonomous/semi-autonomous agents and AI-powered workflows.
  • Develop solutions using APIs, model orchestration, tool calling and enterprise system integrations.
  • Design and implement Retrieval-Augmented Generation (RAG) solutions using structured and unstructured enterprise data.
  • Work with vector databases, embeddings, semantic search and hybrid retrieval.
  • Design and develop knowledge graphs, context graphs and semantic/knowledge layers.
  • Develop and deploy machine-learning models for relevant Purchasing use cases such as supplier risk, forecasting, classification, anomaly detection, recommendation and optimization.
  • Take AI solutions from prototype to production, building scalable, reliable and maintainable AI services and applications.
  • Implement model and prompt evaluation, monitoring, observability and performance management.
  • Work closely with Data Engineers and Enterprise Architects to access and integrate relevant Purchasing data.
  • Integrate AI solutions with enterprise platforms such as ERP, procurement, supplier, contract and data platforms.
  • Build AI solutions with security, privacy, responsible AI and enterprise controls embedded from the outset.
  • Contribute to AI evaluation frameworks covering accuracy, robustness, bias, safety, explainability and reliability.
  • Stay current with rapidly evolving developments in GenAI, LLMs, AI agents, ML, knowledge graphs and AI engineering.
  • Establish reusable AI components, patterns and accelerators that can be leveraged across multiple use cases.
  • Mentor other engineers and contribute to building the organization's AI engineering capability.

Requirements

  • Minimum 3–5 years of hands-on experience designing, building and deploying production-grade AI solutions.
  • Extensive hands-on experience with LLMs in production (prompt engineering, prompt/version management, structured output, tool use, agent patterns, guardrails, hallucination mitigation, human-in-the-loop workflows).
  • Deep knowledge of LLM orchestration frameworks (LangChain, LangGraph, or equivalent).
  • Proven ability to design ensemble/voting strategies for robust, auditable AI decisions.
  • Strong evaluation methodology: precision/recall optimization, threshold tuning, confusion matrix analysis, drift detection, A/B testing, online evaluation, LLM-as-judge/rubric-based evaluation.
  • Solid understanding of vector search, embedding models, and retrieval-augmented generation (RAG).
  • Knowledge Graph, Context Graphs, MCP Server Development.
  • Experience with MLOps/LLMOps: experiment tracking, model/prompt versioning, model registry, deployment, monitoring, rollback.
  • Strong understanding of observability for AI systems: latency, quality, drift, cost, and failure analysis.
  • Traditional ML fundamentals: feature engineering, model selection, calibration, interpretability.
  • Understanding of MLOps, LLMOps or AI application lifecycle management.
  • Advanced Python skills (3.11+): async patterns, Pydantic, type-safe data modeling, performance optimization.
  • Production experience with a data platform (Databricks, Snowflake, or similar).
  • Proven track record building ETL/ELT pipelines that handle structured data at scale and under SLA.
  • Experience designing data validation and quality frameworks (pandera, Great Expectations, or custom).
  • Strong cloud experience (Azure preferred; AWS or GCP acceptable).
  • Strong SQL skills and data modeling experience.
  • Experience with distributed processing frameworks such as Spark/PySpark.
  • Familiarity with batch and streaming data architectures.
  • Data governance experience: lineage, access control, PII handling, security, compliance.
  • Expert-level Git workflows, CI/CD pipeline design, and code review leadership.
  • Writes production-grade code: well-tested, well-documented, maintainable.
  • Designs and consumes REST APIs; understands service architecture patterns.
  • Comfortable owning and evolving a large production codebase.
  • Experience with Docker, Kubernetes, and Infrastructure as Code (Terraform or equivalent).
  • Strong production debugging, reliability engineering, and performance tuning skills.
  • Experience with secrets/configuration management and secure software delivery.

Desired Qualifications

  • Experience with LLM observability platforms (Arize, Langfuse, LangSmith) in production.
  • Domain expertise in procurement, supply chain, finance, or operational workflows.
  • Experience with Azure OpenAI or other enterprise LLM providers at scale.
  • Track record of measuring and communicating business impact (cost savings, time reduction, accuracy gains).
  • Infrastructure experience: Docker, Kubernetes, Terraform, or similar IaC tools.
  • Experience leading technical decisions in a team without heavy management overhead.

Benefits

  • High-impact production system: Not a research project - your work directly drives business value at scale.
  • Technical leadership: Shape architecture, set standards, and influence product direction.
  • End-to-end ownership: From data strategy through LLM pipeline to production monitoring.
  • Small, autonomous team: No layers of approval - ship weekly, measure impact, iterate fast.
#AI#Machine Learning#Generative AI#LLMs#RAG#Knowledge Graphs#MLOps#Data Engineering#Software Engineering#Python#Cloud#Azure#Kubernetes#Docker
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Company

Volvo Group

Job Posted

2 weeks ago

Employment Type

Full Time

WorkMode

On Site

Experience Level

Mid-Senior

Locations

Bangalore, India

Applicants

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