Digital Twin Developer
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Job Description:
We are looking for a talented Digital Twin Developer with 2-4 years of experience to help build advanced IIoT digital twin solutions for complex manufacturing systems.
In this role, Candidate will develop interactive 3D digital twins using NVIDIA Omniverse technologies, integrating real-time IoT data to pinpoint faults, guide operators, and visualize manufacturing processes. Candidate will work on automating Omniverse workflows, creating custom user interfaces, and connecting the virtual environment with physical shop-floor data.
Key Responsibilities
- Develop and deploy predictive analytics models for automotive industry use cases (e.g., demand forecasting, customer behavior, operational efficiency).
- Leverage Python for advanced data processing, feature engineering, and machine learning pipelines.
- Work hands-on with Microsoft Azure Cloud for AI/ML workflows, including training, deployment, and scaling models.
- Collaborate with Databricks for large-scale data engineering and modeling tasks.
- Contribute to research and application of Large Language Models (LLMs) and Small Language Models (SLMs) in real-world scenarios.
- Partner with cross-functional teams (data engineers, business analysts, and client stakeholders) to ensure models align with business objectives.
- Demonstrate a growth mindset—eager to learn, adopt best practices, and explore emerging AI trends.
- Communicate findings clearly in fluent English, ensuring transparency and collaboration across distributed teams.
Optional / Nice-to-Have Skills:
- Frontend development experience using Angular.
- Backend development with Node.js.
- Exposure to AWS IoT services and architectures.
- Familiarity with cloud-based deployments and modern DevOps practices.