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MBSE Matlab/mScripting Requirement - ZR_1961_JOB

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Job Title:

  • MBSE Matlab/mScripting Requirement

  • Experience:

    • 4 - 5 Years
      • Qualification:

      • 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).

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