Role Summary

We are looking for an AI/ML & Digital Solutions Engineer to design, develop, and deploy AI/ML-led digital solutions that improve engineering and manufacturing workflows.

The primary focus of this role is AI/ML application development, supported by strong backend development capability and practical experience in CAD integration or CAD-based engineering automation.

The ideal candidate brings a balanced combination of AI/ML, backend/API development, and CAD integration or CAD development. Experience with Siemens NX and Bentley MicroStation is preferred; however, relevant experience with other CAD or engineering platforms will also be considered.

Key Responsibilities

- Develop AI/ML solutions for engineering and manufacturing use cases, including classification, prediction, similarity analysis, optimization, computer vision, NLP, and Generative AI where relevant.
- Build practical digital solutions by combining AI/ML models with backend services, APIs, databases, and user-facing applications.
- Integrate AI/ML solutions with CAD and engineering platforms to automate workflows, extract engineering data, and support digital engineering use cases.
- Work with CAD-related data such as geometry, metadata, assemblies, drawings, attributes, and other engineering information.
- Develop prototypes, MVPs, reusable components, backend services, and production-ready applications based on business and engineering requirements.
- Containerize, deploy, monitor, and maintain digital solutions using cloud and DevOps practices, preferably on Microsoft Azure.
- Evaluate emerging AI/ML, digital engineering, and automation technologies and build PoCs to validate high-value opportunities.
- Collaborate with engineering experts, software developers, data scientists, IT teams, and business stakeholders to deliver usable and scalable solutions.

Required Skills

- AI/ML: Strong practical experience in applied machine learning, data processing,



model development, model evaluation, and AI/ML solution implementation.
- Programming: Strong hands-on Python skills with the ability to build maintainable, reusable, and modular software components.
- Backend Development: Experience building REST APIs, backend services, and integration layers using FastAPI, Flask, Django, or equivalent frameworks.
- CAD Integration / CAD Development: Experience working with CAD or engineering platforms through APIs, SDKs, scripts, plugins, automation interfaces, or data extraction methods.
- Preferred CAD Platforms: Siemens NX and Bentley MicroStation experience is preferred; experience with other CAD tools or engineering platforms is also relevant.
- Engineering Data: Ability to work with CAD models, engineering metadata, drawings, assemblies, geometry-related data, and engineering process data.
- Databases: Working knowledge of SQL and relational databases such as PostgreSQL, SQL Server, or Azure SQL.
- Cloud & DevOps: Working knowledge of Docker, CI/CD, Git, cloud deployment, and Azure or equivalent cloud platforms.

Preferred Qualifications

- Experience applying AI/ML to engineering, manufacturing, CAD, or industrial digitalization use cases.
- Experience with NX Open / NX API, MicroStation APIs / SDKs, CAD plugins, scripts, or similar CAD automation tools.
- Experience with other CAD platforms, engineering tools, or CAD data integration approaches will also be considered.
- Experience with computer vision, 3D/CAD data processing, geometry processing, Generative AI,



LLM-based applications, RAG, embeddings, vector databases, AI agents, or MLOps.
- Experience with Docker, Kubernetes, Azure, cloud deployment, and productionizing PoCs or MVPs.

Education

- Bachelors or Master’s degree in Computer Science, AI/ML, Data Science, Software Engineering, Mechanical Engineering, Mechatronics, Industrial Engineering, Electronics/Electrical Engineering, or a related discipline.
- Candidates from engineering backgrounds with strong software, AI/ML, and automation capabilities are encouraged to apply.

Experience

- 3–5 years of relevant skilled experience in AI/ML engineering, software engineering, digital solution development, CAD automation, engineering automation, data science, backend development, or industrial digitalization.
- Hands-on experience developing AI/ML-enabled digital solutions, preferably connected with engineering or manufacturing processes.
- Experience building backend services, APIs, integrations, or automation tools that support end-to-end digital applications.
- Exposure to CAD integration, CAD development, engineering data extraction, or engineering workflow automation is highly desirable.
- Experience working across engineering, software, IT, and business teams is an advantage.

Key Competencies

- Strong problem-solving skills with the ability to break complex engineering challenges into practical technical solutions.
- End-to-end ownership from problem definition and PoC development through deployment, adoption, and continuous improvement.
- Innovation mindset with the ability to identify automation opportunities and apply emerging AI and digital technologies responsibly.
- Strong collaboration skills across engineering, IT, software, AI/ML, and business stakeholders.
- Learning agility to quickly understand new engineering software, APIs, frameworks, and technologies.

📌 AI/ML Engineer with CAD Integration (Bengaluru)
🏢 Creative Synergies
📍 Bengaluru