Machine Learning/Artificial Intelligence Engineer Senior
Core
Designing and deploying end-to-end intelligent systems using Machine Learning and Deep Learning for strategic sectors like industry, biotechnology, and primary agriculture.
Role type
Senior Machine Learning Engineer (Deep Learning)
Builds
Production-ready AI systems, data pipelines, and model observability tools for deep-tech applications.
Domain
DeepTech, Artificial Intelligence, Industrial Automation, Biotechnology
Deliverable
production ML models
Required skills
Machine Learning, Deep Learning, Python, Model Lifecycle Management, Data Analysis, Software Development, MLOps
Preferred skills
PyTorch, TensorFlow, scikit-learn, MLFlow, Docker, Git, Agile methodologies
Technologies
Mlflow, KubeFlow, Kserve, PyTorch, Tensorflow, scikit-learn, pyGAD, d3rlpy, Docker, GIT, JIRA
Responsibilities
Research and develop algorithms for recommendation systems, forecasting, and knowledge extraction; Analyze data to propose solutions; Design and deploy software for model lifecycle management and observability; Support technology surveillance and community engagement.
Seniority
Senior, hands-on IC
