remote
Professional Machine Learning Engineer - Volvo Group
ML Engineer
Design and deploy advanced machine learning models for sustainable transport solutions, leveraging Python, TensorFlow/PyTorch, and AWS cloud services while collaborating with cross‑functional data and engineering teams.
About the role
Key Responsibilities
- Develop, train, and optimize machine learning models for production logistics and transportation optimization.
- Implement end‑to‑end ML pipelines, including data ingestion, preprocessing, feature engineering, and model serving.
- Collaborate with data engineers, domain experts, and product owners to translate business needs into scalable AI solutions.
- Deploy and monitor models on AWS (SageMaker, Lambda, ECS) ensuring reliability, performance, and cost efficiency.
- Stay current with emerging AI research and tools, driving continuous improvement and innovation within the team.
Requirements
- Strong proficiency in Python and experience with ML frameworks such as TensorFlow or PyTorch.
- Hands‑on experience building and deploying models in cloud environments, preferably AWS.
- Solid understanding of data engineering concepts, including ETL processes, data lakes, and real‑time streaming.
- Proven ability to work in agile, cross‑functional teams and communicate complex technical ideas clearly.
- Bachelor’s or higher in Computer Science, Electrical Engineering, Statistics, or a related field.
Skills
pythonmachine learningtensorflowpytorchaws