onsite
AI Engineer - Obungi GmbH
AI Engineer
Develop and deploy AI models and pipelines, leveraging Python, deep‑learning frameworks, and cloud services to create scalable, production‑ready solutions for complex data problems.
About the role
Key Responsibilities
- Design, implement, and optimize machine‑learning models and algorithms for various business use cases.
- Build end‑to‑end AI pipelines, from data ingestion and preprocessing to model training, evaluation, and deployment.
- Collaborate with data engineers and product teams to integrate AI solutions into cloud‑native architectures.
- Maintain and monitor deployed models in production, ensuring performance, reliability, and scalability.
- Stay current with emerging AI research and tools, proposing improvements and innovations.
Requirements
- Strong proficiency in Python and experience with deep‑learning frameworks such as TensorFlow or PyTorch.
- Solid understanding of machine‑learning concepts, model training, evaluation, and deployment.
- Hands‑on experience with cloud platforms (e.g., AWS) and containerization technologies like Docker.
- Ability to work in cross‑functional teams, communicate technical ideas clearly, and deliver production‑grade AI solutions.
- Bachelor’s or higher degree in Computer Science, Engineering, or a related field, with relevant project or work experience.
Skills
pythontensorflowpytorchmachine learningawsdocker