MBSE Matlab/mScripting Requirement - ZR_1961_JOB (Position Closed)

Job Title:

MBSE Matlab/mScripting Requirement

• 4 - 5 Years

Job Location:

• Chennai

Job Description:

• Thoroughly analyze existing MATLAB codebase, algorithms, data structures, and functionalities to gain a comprehensive understanding of their purpose, implementation details, and underlying mathematical/scientific principles.
• Document the intricacies of the MATLAB tools, identifying core logic, dependencies, and potential challenges for migration.
• Collaborate with end-users and domain experts of the current MATLAB tools to capture implicit requirements, usage patterns, and critical performance characteristics.
• Develop detailed migration plans, including phased approaches, risk assessments, and resource estimates for converting MATLAB components to Python.
• Design the architecture and data flow for the new Python-based tools, ensuring scalability, maintainability, and alignment with overall software engineering standards.
• Select appropriate Python libraries, frameworks, and methodologies for optimal translation of MATLAB functionalities (e.g., NumPy for matrix operations, SciPy for scientific functions, Pandas for data handling).
• Translate complex MATLAB algorithms and numerical methods into efficient, well-structured, and idiomatic Python code.
• Implement new features or enhancements as identified during the migration process, leveraging Python's ecosystem.
• Develop robust data processing pipelines and interfaces to integrate with existing or new data sources.
• Design and implement comprehensive test suites (unit, integration, regression tests) to ensure functional correctness and numerical fidelity of the Python tools against their MATLAB counterparts.
• Perform rigorous validation of results, comparing outputs from MATLAB and Python implementations to ensure accuracy and consistency.
• Identify and resolve performance bottlenecks in the Python code, optimizing algorithms and data structures for efficiency.
• Utilize profiling tools to benchmark and improve the execution speed of critical components.
• Create clear, concise, and comprehensive technical documentation for the new Python tools, including design specifications, API documentation, user guides, and migration reports.
• Provide training and mentorship to other team members on the new Python codebase and best practices for scientific computing in Python.
• Contribute to establishing coding standards and best practices for scientific Python development within the team.
• Work closely with cross-functional teams (e.g., software engineers, data scientists, domain experts) to ensure seamless integration of the migrated tools into existing systems and workflows.
• Participate in code reviews, architectural discussions, and agile development ceremonies.
• Manage version control (Git) for the Python codebase, ensuring proper branching, merging, and release management.

Skill set:

• MATLAB scripting, Python

Domain Knowledge:

• Expert-level knowledge of Python syntax, object-oriented programming, and common design patterns.
• Deep understanding and hands-on experience with core scientific Python libraries:
• NumPy, SciPy, Pandas,
• Matplotlib, Seaborn, Plotly/Bokeh: For data visualization and graphical output replication.
• Familiarity with other relevant libraries
• Ability to read, understand, and debug complex MATLAB code, including knowledge of MATLAB's specific data types, functions, and programming paradigms.
• Experience with MATLAB's toolboxes relevant to the existing tools
• Understanding of MATLAB's plotting capabilities and GUI development
• Solid understanding of common numerical algorithms, linear algebra, differential equations, optimization techniques, and statistical methods.
• Ability to identify and address potential numerical precision issues during migration.
• Proficiency with Git for version control.
• Experience with unit testing (e.g., pytest) and integration testing frameworks.
• Knowledge of code quality tools (linters like Flake8, Black) and static analysis.
• Understanding of software design principles (SOLID, DRY).
• Experience with various data formats (e.g., HDF5, CSV, Parquet, JSON, XML).