The company is seeking to drive the development and deployment of intelligent systems across cloud and full-stack environments, specifically for vehicle engineering, testing, simulations, and homologation, by bridging the gap between IT and engineering.
Requirements
- Strong programming skills in Python and JavaScript (React, Node.js).
- Proven experience with cloud platforms (AWS, Azure, or GCP).
- Hands-on experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience building and deploying full-stack applications.
- Familiarity with containerization (Docker, Kubernetes) and CI/CD pipelines.
- Experience with MLOps tools (Python, MLflow, Airflow, SageMaker, Vertex AI).
- Knowledge of data engineering tools (Spark, Kafka, Databricks, Snowflake).
Responsibilities
- Design and maintain IT architecture supporting vehicle testing systems, including data acquisition, test automation, telemetry, and analytics platforms.
- Lead the design, development, and deployment of AI/ML models and systems across cloud platforms (AWS, Azure, GCP).
- Architect and implement full-stack solutions integrating AI models with front-end and back-end components.
- Deploy the cloud environments and components needed for new AI projects.
- Build and maintain scalable ML pipelines using MLOps tools and practices.
- Develop APIs and microservices to serve models and enable real-time inference.
- Ensure high performance, reliability, and security of AI applications in production.
Other
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 7+ years of experience in software development, with 3+ years in AI/ML.
- Excellent communication and leadership skills.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
- Stay current with emerging AI technologies and industry trends.
