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Artificial Intelligence Engineer
Discoveries QuintessentialKota, IN20 hours ago
Job descriptionStrong 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. 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. 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. 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
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
Bonus Skills
What You’ll Achieve
Why We?
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Artificial Intelligence Engineer • Kota, IN
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