3 Days Left Data Applications Engineer

Job Description

YES (Yield Engineering Systems, Inc.) is a leading manufacturer of reliable, high-tech, cost-effective capital equipment that transforms materials and surfaces at the nanoscale. From startups to the Fortune 50, our customers rely on YES to help them unleash products that change lives from cellphones and IoT devices, to AI and virtual reality, to diagnostic tests for COVID.

As a preferred provider of wet and dry process technology, we look forward to talking with smart, energetic, team-oriented people who can grow with us. We provide competitive salary and benefits, including long-term incentives, and some of the best co-workers youll find anywhere. If this appeals to you, please read on

Job Title: Data Applications Engineer

Location:Bengaluru/Coimbatore.

We are seeking a highly skilled and motivated Data Applications Engineer with a minimum of a masters degree in computer science, Engineering, or a closely related field. The successful candidate will be responsible for building, maintaining, and administrating data-driven applications to support the development of a digital twin for a semiconductor manufacturing company. This role demands advanced data science and computer vision expertise, alongside experience in C# programming, and involves designing systems that integrate engineering data, simulation results, image processing, and machine learning models to build predictive and autonomous capabilities.

Responsibilities will include, but not be limited to:

- Design, develop, and deploy applications supporting the digital twin of semiconductor manufacturing processes.
- Develop automated data analysis tools and visualizations for engineers and operations teams.
- Integrate and analyse data from multiple sources (sensor data, imaging systems, databases, physics-based simulations, etc.) to derive insights and drive system performance.
- Apply computer vision and image processing techniques to enhance the digital twin&aposs capability to mirror real-world environments and equipment.
- Work closely with engineering and business teams to define data requirements, perform data transformations, and ensure high-quality outputs.
- Build data pipelines and infrastructures for reliable, scalable, and secure data flow.
- Develop and deploy machine learning models for prediction, classification, anomaly detection, and optimization tasks.
- Understand CFD & FEA simulation outputs and incorporate into Digital Twin system.
- Write well-documented, efficient code in Python and C# for data processing and algorithmic implementations.
- Monitor, troubleshoot, and resolve issues related to data integration, system performance, and application stability.
- Create and maintain detailed documentation of data flows, algorithms, application logic, and technical implementations.
- Ensure data security, compliance, and governance standards are met.
- Present analysis and simulation results to stakeholders in a clear, structured format.
- Continuous research and apply best practices in digital twin development, machine learning, and computer vision.

Required Qualifications:

- Minimum of a masters degree in computer science, Data Science, Engineering, or a related discipline.
- Proven experience in designing and deploying machine learning models and computer vision solutions.
- Strong proficiency in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch, OpenCV, Matplotlib).
- Hands-on experience with C# programming for application development and integration.
- Solid understanding of statistics, data structures, and algorithms.
- Ability to perform exploratory data analysis, data cleaning, and feature engineering.
- Knowledge of techniques such as classification, regression, anomaly detection, and optimisation.
- Experience with SQL for data handling and querying.
- Familiarity with version control tools such as GIT or Bitbucket.
- Strong analytical skills and the ability to work with structured and unstructured data from complex systems.

Preferred Qualifications:

- Professional experience with digital twin technologies, particularly in semiconductor or advanced manufacturing sectors.
- Experience with CFD tools (ANSYS, Fluent, COMSOL, Star-CCM+) is a plus.
- Knowledge of Generative AI and NLP is a strong plus.
- Experience working in cross-functional teams and delivering production-level software solutions.
- Research experience involving machine learning applications to solve real-world engineering or manufacturing problems.
- Experience deploying and managing machine learning models in production using tools like MLflow, Kubeflow, or Airflow.
- Familiarity with CI/CD pipelines, Docker/Kubernetes, and cloud platforms (AWS, Azure, or GCP) for automating and scaling ML workflows.
- Understanding of model monitoring, versioning, and performance tracking to ensure reliability and reproducibility in production environments.

Compensation:

- YES offers a stimulating and fun working environment, competitive salaries and benefits, and long-term incentives.

Additional Information:

- YES is an equal opportunity employer and values diversity. All employment is decided based on qualifications, merit and business need.

Come to find out why YES is such a great place to work. Apply today

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