ML Engineer Nissan - Hiring 2025
Posted on:November 02, 2025
Explore the latest Nissan jobs 2025 and find exciting career opportunities. Nissan is currently hiring for Experienced professionals. This vacancy is entitled as a Trivandrum jobs, offcampus jobs in Nissan, and also explore all other ML Engineer Nissan - Hiring 2025 listings. Don't miss this chance to kickstart your career with Nissan today. All eligible candidates are advised to apply for this job as soon as possible. For more information kindly go through the below details.
AboutNissan
ML Engineer Nissan - Hiring 2025
Nissan is a pioneer in Innovation and Technology. With a focus on Mobility, Operational Excellence, Value to our Customers and Electrification of vehicles, you can expect to be part of a very exciting journey here at Nissan.
Nissan is going after a massive Digital Transformation backed by leading technologies across the organization globally. We are committed to building a diverse, entrepreneurial organization, and our current team is a strong evidence of that. Our people are what drive the business forward. At Nissan Digital, you will be part of a dynamic team with ample opportunities to grow and make a difference.
Job Details
| Company | Nissan |
|---|---|
| Position | ML Engineer |
| Location | Trivandrum |
| Job Type | Full Time |
| Experience | Experienced |
| Website | https://nissan.com |
Qualifications
- Strong analytical and problem-solving skills.
- Ability to understand and implement ML algorithms effectively.
- Good communication skills to collaborate with cross-functional teams.
- Attention to detail and a structured approach to work.
- GenAI: Curiosity and experimentation with LLMs & GenAI tools (e.g., ChatGPT, Gemini) and prompt tuning
- MLOps: Learning foundations of model deployment, version control, and experiment tracking
Responsibilities
- Assist in developing, training, and optimizing machine learning models for various applications.
- Work with large datasets, performing data preprocessing, feature engineering, and model evaluation.
- Collaborate with data scientists and software engineers to integrate ML models into production environments.
- Conduct experiments to improve model accuracy and efficiency.
- Write clean, efficient, and well-documented code for ML model development.
- Stay updated with the latest advancements in ML algorithms and technologies.
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