Senior Engineer, Data Scientist - Nissan ISIT

Qualifications:

• 5+ years of experience delivering machine learning, AI, and analytics solutions.
• Graduate in Computer Science, IT, AI/ML, Data Science, E&T or related field.
• Experience in automotive and manufacturing domain (preferred).
• Excellent stakeholder management and communication skills.

Key Tech Stack:

Cloud, AI & ML Platforms:
AWS (SageMaker, Bedrock, S3, ECS, Glue, Lambda, Step Functions, CloudWatch, CloudTrail)

Artificial Intelligence & Generative AI:

• LLMs and multimodal models using Amazon Bedrock, SageMaker JumpStart, or custom NLP models
• Prompt engineering, retrieval-augmented generation (RAG), embeddings, vector databases (OpenSearch/OpenSearch Serverless/PG Vector)

Machine Learning:
Regression, Classification, Time-Series Forecasting, Deep Learning (TensorFlow / PyTorch), NLP, Computer Vision, Feature Engineering, Model Monitoring, SageMaker Pipelines & Model Registry

Programming:
Python (mandatory), SQL

Version Control & CI/CD:
GitHub, GitLab, AWS CodeCommit/AWS CodePipeline

Security & Monitoring:
IAM, VPC security, key management (KMS), logging and model auditability using CloudWatch, SageMaker Model Monitor and Bedrock Guardrails

Other:
Cost optimization, performance tuning, responsible AI practices, MLOps frameworks.

Key Responsibilities:

• Collaborate with business and IT teams to translate AI, ML, and analytical requirements into scalable solutions.
• Build, train, fine-tune, and deploy ML and Generative AI models using AWS SageMaker and Amazon Bedrock.
• Develop automated feature engineering and data pipelines to support ML and AI workloads on AWS.
• Lead insights generation, data storytelling, and operational analytics using QuickSight or equivalent BI tools.
• Implement responsible AI principles including model explainability, safety, fairness, and governance.
• Define and enforce standards for ML lifecycle management, security, and compliance (GDPR, ISO, etc.).
• Mentor and support teams including ML engineers, data engineers, and analytics developers.
• Drive MLOps and GenAIOps adoption including CI/CD, automation, model monitoring, and operational excellence.
• Evaluate emerging AWS GenAI capabilities and continuously adopt best practices (peer reviews, reusable templates, documentation).

Renault Group is committed to creating an inclusive working environment and the conditions for each of us to bring their passion, perform to the full and grow, whilst being themselves.  
We find strength in our diversity and we are engaged to ensure equal employment opportunities regardless of race, colour, ancestry, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, etc. If you have a disability or special need requiring layout of the workstation or work schedule, please let us know by completing this form.

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