JOB DESCRIPTION:
Create interactive data visualization solutions and dashboards for complex engineering data analysis
Collaborate with engineers and product managers to translate technical requirements into functional solutions
Implement advanced FE (Finite Element) natures for the platform including time series analysis, 3D data visualization, and uncertainty quantification
Build integration systems with computational fluid dynamics (CFD) and CAE (Computer- Aided Engineering) tools to streamline data flow
Design and implement robust data processing and transformation pipelines for engineering data from multiple sources CAD (Computer- Aided Design), FE (Finite Element), CFD (Computational Fluid Dynamics), test data
Develop and optimize machine learning and deep learning models for regression, prediction, and pattern recognition in engineering datasets
Develop RESTful APIs for model deployment and service integration within the platform ecosystem
JOB REQUIREMENTS:
About Qualifications:
5+ years of relevant experience in Python development with at least 3 years focusing on ML/AI applications
Bachelor&039;s degree in Computer Science, Data Science, Engineering, or related technical field; Master&039;s degree preferred
Strong portfolio of data engineering and ML projects
Demonstrated experience developing and deploying machine learning models in production environments
About Technical Skills:
Must have:
Proficiency in API development using frameworks like Flask or FastAPI
Experience working with engineering data formats and/or CAE (Computer- Aided Engineering)/CFD (Computational Fluid Dynamics) tools
Experience with data visualization libraries (Matplotlib, Plotly, Dash) and dashboard creation
5+ years of experience with Python development, including advanced knowledge of Python libraries for data manipulation (Pandas, NumPy)
Solid understanding of software development practices including version control (Git), testing, and CI/CD
Strong expertise in machine learning frameworks (scikit- learn, TensorFlow, PyTorch) and implementing various model types (regression, neural networks, etc.)
Database design and management skills (SQL and NoSQL)
Nice to have:
Familiarity with Jupyter notebooks for prototyping and experimentation
Experience with time series analysis and processing
Background in UI/UX development for technical applications
Experience with cloud platforms (AWS, GCP, or Azure)
Knowledge of computational fluid dynamics (CFD) or finite element analysis (FEA) principles
Knowledge of Docker and containerization technologies
Familiarity with graph neural networks and mesh processing algorithms
Experience with 3D data processing and visualization
About Soft Skills and Competencies:
Attention to detail and commitment to code quality and documentation
Ability to understand and translate engineering requirements into technical solutions
Adaptability to learn new technologies and approaches as needed
Excellent problem- solving abilities and analytical thinking
Self- motivated with the ability to work independently and manage multiple projects
Team- oriented mindset with willingness to mentor junior team members
Strong communication skills for collaborating with engineers and translating technical concepts
COMPENSATION & BENEFITS:
🎯Flexible working regime and health care:
Social insurance, health insurance, unemployment insurance and MIC care insurance
A flexitime allowance of 90- 180 minutes per month for employees
Flexible timekeeping (from 8:00- 9:00 to 17:30- 18:30)
01- day remote work per month
Minimum 14 paid leaves per annum for all employees after probation
01 hour paid leave per day for women having children under 12 months
🎯Transparent and fair benefits:
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;..
Work performance review 2 times/ year (in April and October)
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company
13th- month salary
🎯Dynamic environment and open culture:
Socialize with colleagues through monthly Happy Hour
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
Year- end party, sports day, yearly company trip and quarterly team building,...with a generous budget
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
🎯Strong learning culture:
Account to log in to our online learning system, which contains thousands of valuable lectures (LMS)
Participate in workshops, seminars, tech talk,... with sharing from experts inside and outside the company
Working opportunities with technical gurus who built and operated world- class applications with millions of users.
Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
