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Artificial Intelligence Engineer

Artificial Intelligence Engineer

Discoveries QuintessentialSalem,Tamil Nadu, IN
19 hours ago
Job description

Job Title : AI / ML Engineer

Location : Bengaluru (Onsite)

Employment Type : Full-Time

Experience : 1–3 years (exceptional freshers may apply)

Reporting To : Head of AI

About Workwise

We are redefining how India’s industrial and EPC sectors buy, build, and scale . We develop AI systems that understand the language of engineering projects—automating BOQ processing, vendor discovery, cost estimation, and more. Our mission is clear : make procurement faster, smarter, and more profitable through intelligent automation . If you’re excited about building real-world AI where language meets engineering , this is the place for you.

Role Overview

As an AI / ML Engineer, you’ll build the domain-specific AI pipelines that power our core workflows. You’ll work closely with our AI Head and product / engineering teams to convert raw industrial data into smart, automated systems used in real operations.

What You’ll Do

  • Build AI pipelines to convert unstructured documents (BOQs, tenders, specs) into structured datasets.
  • Develop parsing, retrieval, and reasoning systems across multi-format industrial data.
  • Fine-tune and deploy LLMs and vision-language models for production use cases.
  • Design continuous learning loops and retraining workflows.
  • Collaborate with engineering and product teams to scale prototypes into production-ready systems.

What We’re Looking For

  • Strong Python and ML fundamentals (PyTorch / TensorFlow).
  • Experience with LLM frameworks (LangChain, LlamaIndex, etc.).
  • Familiarity with Document AI / OCR models (PaddleOCR, LayoutLM, Donut, etc.).
  • Understanding of embeddings, semantic search, RAG, and entity linking.
  • Clean coding, modular design, and Git / GitHub proficiency.
  • Ability to build scalable, production-ready ML components.

    • Bonus Skills

  • Experience with document understanding or information extraction systems.
  • Built feedback-based evaluation or retraining pipelines.
  • AWS experience (S3, Lambda, EC2, SageMaker) for model deployment.
  • Open-source contributions or published ML projects.

    • What You’ll Achieve

  • Month 1 : Understand domain & data workflows and ship an internal prototype.
  • Month 2 : Deliver an end-to-end customer-facing demo solving a real use case.
  • Month 3+ : Own and improve a production-grade AI feature from ingestion to deployment.

    • Why We?

  • Build real-world, high-impact AI for India’s industrial ecosystem.
  • Work directly with top talent across AI, engineering, and product.
  • Own meaningful projects early in your journey.
  • Fast-growth environment with leadership opportunities.
  • Competitive compensation and long-term career growth
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