Data Applications Engineer

Yield Engineering Systems

Bengaluru

On-site

INR 1,000,000 - 1,500,000

Full time

14 days+

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Benefits offered by this job

Competitive salary

Long-term incentives

Stimulating work environment

Job summary

A leading technology company in Bengaluru is seeking a Data Applications Engineer to develop and maintain data-driven applications for semiconductor manufacturing. This role requires a master's degree in a related field and expertise in Python and C#. Responsibilities include designing digital twin applications, integrating data from multiple sources, and deploying machine learning models. Join a dynamic team that values innovation and offers competitive compensation and benefits.

Qualifications

Minimum of a master’s 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 and machine learning libraries.

Responsibilities

Design, develop, and deploy applications for digital twin of semiconductor processes.
Build data pipelines and infrastructures for data integration.
Develop and deploy machine learning models.

Skills

Python programming

C# programming

Machine learning

Computer vision

Data analysis

Education

Master's degree in Computer Science or related field

Tools

TensorFlow

OpenCV

SQL

GIT

Job description

Direct message the job poster from Yield Engineering Systems

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 you’ll find anywhere. If this appeals to you, please read on!

Job Title: Data Applications Engineer

We are seeking a highly skilled and motivated Data Applications Engineer with a minimum of a master’s 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

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's 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 master’s 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