Artificial Intelligence Engineer
Discoveries Quintessential
2 - 5 years
Bengaluru
Posted: 28/12/2025
Job Description
Job Title: AI/ML Engineer
Location: Bengaluru (Onsite)
Employment Type: Full-Time
Experience: 13 years (exceptional freshers may apply)
Reporting To: Head of AI
About Company:
We are redefining how Indias industrial and EPC sectors buy, build, and scale . We develop AI systems that understand the language of engineering projectsautomating BOQ processing, vendor discovery, cost estimation, and more. Our mission is clear: make procurement faster, smarter, and more profitable through intelligent automation . If youre excited about building real-world AI where language meets engineering , this is the place for you.
Role Overview
As an AI/ML Engineer, youll build the domain-specific AI pipelines that power our core workflows. Youll work closely with our AI Head and product/engineering teams to convert raw industrial data into smart, automated systems used in real operations.
What Youll 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 Were 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 Youll 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 Indias 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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