onsite
Senior AI Engineer - Atruvia AG
AI Engineer
Lead the design, development, and deployment of advanced AI solutions using Python, TensorFlow/PyTorch, and cloud services such as AWS, while ensuring scalable, containerized deployments with Docker and Kubernetes.
About the role
Key Responsibilities
- Architect and implement end‑to‑end machine learning pipelines, from data ingestion to model serving.
- Develop and optimize deep learning models in TensorFlow or PyTorch for real‑world applications.
- Collaborate with data scientists and software engineers to translate research into production‑ready services.
- Design scalable, containerized deployments on AWS using Docker and Kubernetes.
- Monitor model performance, conduct A/B testing, and iterate on models based on feedback.
- Document best practices, maintain code quality, and mentor junior team members.
Requirements
- 5+ years of experience in AI/ML engineering with a strong portfolio of production deployments.
- Proficiency in Python, TensorFlow/PyTorch, and cloud platforms (AWS).
- Hands‑on experience with Docker, Kubernetes, and CI/CD pipelines.
- Solid understanding of data engineering concepts and large‑scale data processing.
- Excellent problem‑solving skills and a collaborative mindset.
Skills
pythonmachine learningdeep learningtensorflowpytorchawsdockerkubernetes