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.

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.

Key Competencies :

- 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., ChatGPT, Gemini) and prompt tuning.

- MLOps: Learning foundations of model deployment, version control, and experiment tracking.

Relevant Work Exp : 2- 5 years.

Technical Skills :

- Proficiency in Python, TensorFlow, PyTorch, or Scikit- learn.

- Experience with data manipulation using Pandas and NumPy.

- Familiarity with cloud platforms like AWS, Azure, or GCP for ML model deployment.

- Knowledge of SQL and database management.

- Understanding of software development best practices (Git, Docker, CI/CD).

Behavioral Competencies :

- Adaptability: Open to learning and applying new ML techniques, tools, and frameworks.

- Learning Agility: Willingness to experiment, analyze failures, and continuously improve skills.

- Teamwork: Works collaboratively with peers, takes feedback constructively, and contributes to team success.

Certifications (Optional):

- TensorFlow Developer Certification.

- AWS Certified Machine Learning Specialty.

- Microsoft Certified: Azure AI Engineer Associate.

- Google Professional Machine Learning Engineer.