AI/ML Engineer

Neilsoft Research & Innovation Lab is building AI systems for engineering intelligence across domains such as BIM/CAD, digital twins, document intelligence, and conversational engineering assistants. We are looking for engineers who enjoy solving complex machine learning problems involving structured, visual, geometric, and textual data. The role involves working on computer vision for technical drawings, NLP for engineering documentation, geometric reasoning over 3D models, and AI copilots for engineering tools. You will design and deploy production-grade ML systems while contributing to the research and development of proprietary AI technologies. Job Location : Pune Position : AI/ML Engineer Experience : 5 to 7 Years Qualification : Bachelor / Master degree in: Computer Science / Engineering, Artificial Intelligence/Machine Learning, Data Science, Applied Mathematics. You may work on one or more of the following areas: 1. Computer Vision for Engineering Drawings • Layout detection and element extraction from PDFs • Symbol detection and recognition • Floorplan understanding • Diagram parsing • Object detection in technical drawings 2. Document Intelligence • Information extraction from engineering specifications • Table extraction from BOQ and cost documents • Entity extraction and semantic parsing • Document-level reasoning and cross-document linking 3. Geometry & 3D Intelligence • Graph-based reasoning on BIM models • Geometry classification and topology understanding • 3D model feature extraction • Structural or spatial constraint detection 4.

AI Copilot Systems for Engineering Tools • LLM-powered assistants • Natural language interfaces for BIM/CAD models • Retrieval-Augmented Generation (RAG) systems • Engineering knowledge systems 5. Multimodal AI Systems • Combining text, geometry, and visual data • Engineering knowledge graphs • Context-aware AI assistants Key Responsibilities • Design and implement end-to-end ML systems from data ingestion to deployment. • Architect scalable pipelines for training, evaluation, and inference. • Lead development of models in: o Computer Vision o NLP o Multimodal learning • Design solutions for document understanding and geometric reasoning. • Implement RAG architectures for engineering knowledge systems. • Optimize models for latency, scalability, and production deployment. • Mentor junior engineers and guide ML experimentation. • Evaluate emerging ML techniques and integrate them into production systems. Required Technical Skills & Experience Advanced Machine Learning Experience in: • Deep learning model development, Representation learning, Transformer architectures, Transfer learning, Multimodal ML systems Computer Vision Experience with : • Object detection, Image segmentation, Document layout analysis, OCR pipelines NLP / LLM Systems Experience with: • Transformer-based models, Retrieval-Augmented Generation (RAG), Embedding models, Semantic search systems MLOps Experience building production ML systems using: • ML experiment tracking (MLflow / Weights & Biases), Model versioning, CI/CD pipelines, Monitoring and retraining pipelines Data Systems • Vector databases, Data pipelines, Feature engineering systems Preferred Expertise • Experience working with 3D data or geometric data • Knowledge of graph neural networks • Experience building AI copilots or AI assistants • Familiarity with BIM/CAD ecosystems • Experience deploying models on AWS / Azure / GCP Tech Stack (Indicative) Candidates may work with: • Python, PyTorch, HuggingFace, OpenCV, FAISS / Vector DBs, FastAPI / microservices, Docker / Kubernetes, AWS / Azure ML platforms Research Mindset We value engineers who: • Read and implement latest ML research papers • Experiment with new model architectures • Build scalable ML systems • Combine research thinking with production engineering