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For professionals:
For everyone:
For developers:
Responsibilities
You will design, implement, and deploy machine learning models, applying MLOps best practices and exploring new approaches from state-of-the-art research.
Responsibilities:
* Design, train, and deploy machine learning models for production.
* Apply MLOps practices to streamline workflows.
* Collaborate with cross-functional teams and innovate with new ideas.
Requirements:
* Degree in Computer Science, Engineering, or equivalent machine learning experience.
* Fluent English (written and spoken) is required.
* Strong skills in Python, TensorFlow or PyTorch, Docker, and Kubernetes.
* Experience with ML orchestration tools (Kubeflow, MLflow, Airflow), feature stores, and large-scale data tools (Spark, Kafka).
* Strong problem-solving, research analysis, and communication skills.
Benefits:
* Remote work model and flexible hours.
* Potential to grow and build your own career path.
* Strong teamwork culture and a friendly environment.
* Wellness perks.
This job post is closed.