's mission is to transform human life by the democratization of technology. We are a well established digital transformation company building the applications in the areas of CAD, CFD, Artificial Intelligence, Machine Learning, 3D Webapps, Augmented Reality, Digital Twin, and other enterprise applications.
We have two business divisions: product and consulting.
simulationHub is our flagship product and the manifestation of our vision. Currently, thousands of users use our CFD app in their upfront design process.
Our consulting division, with its partners such as Autodesk Forge, AWS and Azure, is helping the world's leading engineering organizations, many of which are Fortune 500 list of companies, in achieving digital supremacy.
Role Overview
We are seeking an AI Engineer to join the project delivery team and contribute to the development of AI/ML and GenAI-based solutions. The candidate should have hands-on experience in building, training, and deploying machine learning models, along with strong programming and problem-solving skills.This role offers exposure to enterprise-scale AI systems, real-world data challenges, and modern AI engineering practices in an agile environment.
Key Responsibilities
Development & Implementation
Develop, train, and optimize machine learning models using Python and standard ML frameworks.
Work on AI use cases across areas such as NLP, Computer Vision, or predictive analytics.
Implement data preprocessing, feature engineering, and model evaluation workflows.
Integrate AI models into applications, APIs, or pipelines for production use.
Debug and troubleshoot model performance and data-related issues.
Collaboration & Delivery
Work closely with team leads and senior engineers to translate requirements into AI solutions.
Participate in sprint planning, daily stand-ups, and code/model reviews.
Collaborate with data engineering, QA, and DevOps teams for smooth deployments.
Support testing, validation, and tuning of AI models in staging and production environments.
Documentation & Testing
Document model logic, data assumptions, and experiment results.
Write basic unit tests and validation checks for data and models.
Assist in improving AI development processes, reusability, and efficiency.
Requirements
Required Skills & Experience
3-5 years of experience in AI/ML or data-driven application development.
Proficiency in:
Programming: Python
ML Frameworks: scikit-learn, TensorFlow, or PyTorch
AI Domains: NLP, Computer Vision, or predictive analytics
Data Handling: Pandas, NumPy, structured & unstructured data
Familiarity with REST APIs and integrating models into applications.
Basic understanding of Agile/Scrum delivery practices.
Exposure to Docker, CI/CD pipelines, or cloud platforms (AWS/Azure/GCP) is a plus.
Preferred Qualifications
Bachelor's or Master's degree in Computer Science, AI, Data Science, or related field.
Experience working with LLMs, prompt engineering, or GenAI APIs (OpenAI / Azure OpenAI).
Familiarity with vector databases or RAG-based workflows is an advantage.
Exposure to enterprise or industrial AI use cases is a plus.
Soft Skills
Strong analytical and problem-solving mindset.
Clear communication and collaboration skills.
Willingness to learn new AI technologies and tools.
Responsible, detail-oriented, and delivery-focused.
Benefits
Opportunity to work with a dynamic and fast-paced engineering IT organization.
* Be part of a company that is passionate about transforming product development with technology.
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