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Job Description
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
Create interactive data visualization solutions and dashboards for complex engineering data analysis
Build integration systems with computational fluid dynamics (CFD) and CAE (Computer-Aided Engineering) tools to streamline data flow
Develop RESTful APIs for model deployment and service integration within the platform ecosystem
Implement advanced FE (Finite Element) natures for the platform including time series analysis, 3D data visualization, and uncertainty quantification
Collaborate with engineers and product managers to translate technical requirements into functional solutions
Job Requirements
About Qualifications:
Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field; Master's degree preferred
5+ years of relevant experience in Python development with at least 3 years focusing on ML/AI applications
Demonstrated experience developing and deploying machine learning models in production environments
Strong portfolio of data engineering and ML projects
About Technical Skills
Must have:
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.)
Experience with data visualization libraries (Matplotlib, Plotly, Dash) and dashboard creation
Proficiency in API development using frameworks like Flask or FastAPI
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
Database design and management skills (SQL and NoSQL)
Nice To Have
Knowledge of computational fluid dynamics (CFD) or finite element analysis (FEA) principles
Experience with 3D data processing and visualization
Familiarity with graph neural networks and mesh processing algorithms
Experience with time series analysis and processing
Knowledge of Docker and containerization technologies
Background in UI/UX development for technical applications
Experience with cloud platforms (AWS, GCP, or Azure)
Familiarity with Jupyter notebooks for prototyping and experimentation
About Soft Skills And Competencies
Excellent problem-solving abilities and analytical thinking
Strong communication skills for collaborating with engineers and translating technical concepts
Self-motivated with the ability to work independently and manage multiple projects
Attention to detail and commitment to code quality and documentation
Adaptability to learn new technologies and approaches as needed
Ability to understand and translate engineering requirements into technical solutions
Team-oriented mindset with willingness to mentor junior team members
Compensation & Benefits
🎯Flexible working regime and health care:
Flexible timekeeping (from 8:00 - 9:00 to 17:30 - 18:30)
Minimum 14 paid leaves per annum for all employees after probation
01-day remote work per month
A flexitime allowance of 90-180 minutes per month for employees
01 hour paid leave per day for women having children under 12 months
Social insurance, health insurance, unemployment insurance and MIC care insurance
🎯Transparent And Fair Benefits
Saturday & Sunday OFF, Overtime pay is 150%, 200%, 300% as per labor law;
Work performance review 2 times/ year (in April and October)
13th-month salary
Bonus Policy: Public holidays (2/9, 30/4, 1/5, 1/1,...); Personal Performances; Excellent Team; Performance bonus in Token of the project;..
Men’s Day, Women’s Day, Children’s Day, Mid-Autumn Festival and other benefits under the provisions of the company
🎯Dynamic Environment And Open Culture
Year-end party, sports day, yearly company trip and quarterly team building,...with a generous budget
Socialize with colleagues through monthly Happy Hour
Monthly allowance when joining clubs: Soccer, Swimming, Yoga, Music,...
Nice & modern working space with young, dynamic & friendly colleagues and free coffee, tea, drinks,...
Flat, open and sharing culture with friendly management team; outsourcing company with product mindset
🎯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.
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