8 việc làm python tại Hà Nội

Core Responsibilities

• 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

Required Technical Skills

• 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)

Preferred Technical Skills

• 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

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

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

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.