onsite
AI Engineering Lead - Jobgether
Software Engineer
Lead AI engineering initiatives, designing and deploying advanced machine learning models with Python, PyTorch, and TensorFlow on AWS, while driving best practices and mentoring cross‑functional teams in a fast‑moving environment.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end AI solutions, from data ingestion to model deployment, using Python, PyTorch, and TensorFlow.
- Define and enforce MLOps pipelines, ensuring reproducibility, scalability, and continuous integration on AWS.
- Lead a multidisciplinary team of data scientists and engineers, fostering collaboration and knowledge sharing.
- Establish AI best practices, coding standards, and model governance across multiple projects.
- Collaborate with product and business stakeholders to translate business needs into technical requirements.
Requirements
- 5+ years of experience in AI/ML engineering with a proven track record of production‑grade deployments.
- Strong proficiency in Python, PyTorch/TensorFlow, and cloud platforms (AWS preferred).
- Hands‑on experience with MLOps tools (e.g., MLflow, Kubeflow, SageMaker).
- Excellent leadership and communication skills, able to mentor and inspire teams.
- Fluent in English; German language skills are a plus.
Skills
pythonmachine learningdeep learningpytorchtensorflowawsmlops