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About Company
Larsen & Toubro is an Indian multinational engaged in EPC Projects, Hi-Tech Manufacturing and Services. It operates in over 50 countries worldwide. A strong, customer-focused approach and the constant quest for top-class quality have enabled L&T to attain and sustain leadership in its major lines of business for over eight decades. Corporate Sustainability:
L&T was the first company in India in the engineering & construction space to publicly disclose its sustainability performance. Our Integrated Report, which tracks the sustainability performance of the organisation and its inter-connectedness with the financial performance, showcases how L&T is adding value to its stakeholders.
2021/2022/2023/2024 Batch Freshers Must Apply
Job Description
L&T is looking for Software Engineers in Powai, Mumbai, to develop and optimize software solutions, including machine learning applications. The role involves coding in Python, C++, and MATLAB, managing large datasets, and refining algorithms for efficiency. Key responsibilities include software development, testing, and performance enhancement. Ideal candidates hold a degree in Computer Science or a related field, possess strong problem-solving skills, and have experience in machine learning, embedded systems, or web technologies. Freshers with the necessary skills are also welcome to apply
8500 HR email+ ATS Friendly Resume+ Email Template + Study Material
Skills and Competencies:
- Data Science: Solid understanding of data science concepts and their real-world use.
- Machine Learning: Practical experience in developing and implementing machine learning models, particularly using MATLAB.
- MATLAB: Skilled in utilizing MATLAB for data analysis, algorithm creation, and machine learning simulations.
- Programming Languages: Proficiency in C++, C, Python, C#, Java, VB .Net, Embedded C, and ASP .Net, along with experience in web technologies like HTML, CSS, JavaScript, jQuery, and AngularJS.
Key Responsibilities
Machine Learning Development:
- Design and enhance machine learning models to address specific challenges.
- Create scalable and efficient algorithms for handling large datasets.
Algorithm Implementation:
- Apply suitable machine learning techniques to build intelligent systems.
- Optimize and implement models using MATLAB and various programming languages.
Testing and Evaluation:
- Validate models through rigorous testing to ensure accuracy and efficiency.
- Conduct A/B testing and other evaluation methods to assess performance.
Data Handling:
- Manage extensive datasets for model training, retraining, and statistical analysis.
- Utilize MATLAB for preprocessing, feature extraction, and data visualization.
MATLAB Utilization:
- Leverage MATLAB for data analysis, model simulation, and algorithm development.
- Develop custom MATLAB scripts and functions to streamline machine learning workflows.
Minimum Qualifications:
- Bachelor of Engineering (BE)
- Bachelor of Computer Science (BCS)
