JOB DESCRIPTION:
Collaborate with engineers and product managers to translate technical requirements into functional solutions
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
Create interactive data visualization solutions and dashboards for complex engineering data analysis
Develop RESTful APIs for model deployment and service integration within the platform ecosystem
Build integration systems with computational fluid dynamics (CFD) and CAE (Computer- Aided Engineering) tools to streamline data flow
Implement advanced FE (Finite Element) natures for the platform including time series analysis, 3D data visualization, and uncertainty quantification
Develop and optimize machine learning and deep learning models for regression, prediction, and pattern recognition in engineering datasets
JOB REQUIREMENTS:
About Qualifications:
Demonstrated experience developing and deploying machine learning models in production environments
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
5+ years of relevant experience in Python development with at least 3 years focusing on ML/AI applications
About Technical Skills:
Must have:
Proficiency in API development using frameworks like Flask or FastAPI
5+ years of experience with Python development, including advanced knowledge of Python libraries for data manipulation (Pandas, NumPy)
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)
Solid understanding of software development practices including version control (Git), testing, and CI/CD
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
Nice to have:
Experience with 3D data processing and visualization
Experience with cloud platforms (AWS, GCP, or Azure)
Knowledge of Docker and containerization technologies
Familiarity with Jupyter notebooks for prototyping and experimentation
Experience with time series analysis and processing
Familiarity with graph neural networks and mesh processing algorithms
Background in UI/UX development for technical applications
Knowledge of computational fluid dynamics (CFD) or finite element analysis (FEA) principles
About Soft Skills and Competencies:
Self- motivated with the ability to work independently and manage multiple projects
Ability to understand and translate engineering requirements into technical solutions
Excellent problem- solving abilities and analytical thinking
Attention to detail and commitment to code quality and documentation
Strong communication skills for collaborating with engineers and translating technical concepts
Team- oriented mindset with willingness to mentor junior team members
Adaptability to learn new technologies and approaches as needed
COMPENSATION & BENEFITS:
🎯Flexible working regime and health care:
Social insurance, health insurance, unemployment insurance and MIC care insurance
01- day remote work per month
Minimum 14 paid leaves per annum for all employees after probation
A flexitime allowance of 90- 180 minutes per month for employees
Flexible timekeeping (from 8:00- 9:00 to 17:30- 18:30)
01 hour paid leave per day for women having children under 12 months
🎯Transparent and fair benefits:
Men’s Day, Women’s Day, Children’s Day, Mid- Autumn Festival and other benefits under the provisions of the company
Work performance review 2 times/ year (in April and October)
13th- month salary
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;..
🎯Dynamic environment and open culture:
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
Socialize with colleagues through monthly Happy Hour
Year- end party, sports day, yearly company trip and quarterly team building,...with a generous budget
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
🎯Strong learning culture:
Free training courses for technical and soft skills (presentation skills, communication skills, foreign language courses,...)
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.
