Machine learning engineer

1 week ago

Thane, India Discoveries Quintessential Full time

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 (Py Torch/Tensor Flow). Experience with LLM frameworks (Lang Chain, Llama Index, etc.). Familiarity with Document AI/OCR models (Paddle OCR, Layout LM, Donut, etc.). Understanding of embeddings, semantic search, RAG, and entity linking. Clean coding, modular design, and Git/Git Hub 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, Sage Maker) 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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