Internship in computer vision and AI at IUNA AI Systems GmbH focusing on data preparation for AI models and collaboration with ML engineers. Join a deep tech startup specializing in AI - based image processing.
About the role
- AI Architect responsible for aligning ML development pipelines with company standards at Everseen. Collaborate with industry experts in a cutting-edge technology environment.
Responsibilities
- Architect and oversee the adoption of scalable AI infrastructures and select appropriate frameworks, tools, and technologies.
- Ensure all products and systems adhere to a commonly defined performance evaluation methodology and appropriate monitoring and reporting systems are in place.
- Ensure AI solutions adhere to ethical standards and regulatory requirements.
- Collaborate with data scientists, engineers, and business stakeholders to integrate AI into products and services.
- Provide technical guidance and mentorship to cross-functional teams.
Requirements
- Strong knowledge of Machine Learning, Deep Learning
- Generative AI & LLM Integration
- Edge AI & Real-time Inference
- Proficiency in Python, and ML frameworks like TensorFlow, PyTorch, Hugging Face Transformers
- Experience with cloud platforms (Azure, GCP)
- Understanding of data architecture, big data technologies, and model deployment
- Strong understanding of ML training pipelines, data lifecycle, and model serving concepts
- Experience with GPU orchestration (e.g., NVIDIA GPU Operator, MIG).
- Experience with MLOps and AI governance frameworks
- Familiarity with ethical AI practices and data privacy regulations
- Databases: Snowflake, BigQuery, MongoDB
- Familiarity with workflow orchestration tools (e.g., Airflow, Kubeflow, Ray, Vertex AI, Azure ML).
- Familiarity with MLflow, Kubeflow, Airflow, Docker, Kubernetes
- Familiarity with GitLab, Terraform, Helm
- Strategic thinking and problem-solving
- Excellent communication and collaboration skills
- Ability to lead cross-functional teams
Benefits
- Safe, inclusive workplace
- Opportunity to grow careers
- Zero tolerance policy for bias and discrimination
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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