remote
AI Solutions Architect - PHINIA
Solutions Architect
Lead the design and deployment of AI-driven solutions that optimize vehicle efficiency and sustainability, leveraging Python, AWS, and advanced machine learning techniques to deliver scalable, high-performance systems.
About the role
Key Responsibilities
- Architect end-to-end AI solutions for automotive fuel and electrical systems, ensuring alignment with sustainability goals.
- Develop and maintain production-grade machine learning models using Python, TensorFlow/PyTorch, and deploy them on AWS services (SageMaker, Lambda, ECS).
- Collaborate with data engineers to design robust data pipelines, ingesting telemetry and sensor data for real-time analytics.
- Implement CI/CD workflows for model training, testing, and deployment, ensuring rapid iteration and high reliability.
- Provide technical guidance to cross-functional teams, translating business requirements into scalable AI architectures.
Requirements
- 5+ years of experience in AI/ML engineering within the automotive or industrial sector.
- Proficiency in Python, SQL, and cloud-native services (AWS, Azure, or GCP).
- Strong background in data engineering, ETL pipelines, and big data technologies.
- Hands‑on experience with model deployment, monitoring, and performance tuning.
- Excellent communication skills and a passion for sustainable technology solutions.
Skills
machine learningpythonaws