Machine Learning Operations Specialist
2 tygodni temu
We are working on an innovative project that aims to bring a unique product to the artificial intelligence landscape. Our team is passionate about creating cutting-edge machine learning solutions that make a real impact. Our platform will enable users and businesses to harness the power of AI without requiring deep technical knowledge, while also allowing hardware owners to monetize their computing resources.
Responsibilities- Design, develop, and optimize automated machine learning pipelines for model training, validation, deployment, and monitoring.
- Develop and manage continuous integration and continuous delivery (CI/CD) pipelines to streamline the deployment of machine learning models.
- Monitor models in production for accuracy, drift, and performance, and optimize models and infrastructure to ensure reliability.
- Collaborate with data scientists to understand model requirements, improve data pipelines, and ensure seamless integration from research to production.
- Ensure the security of ML models and comply with regulations (e.g., GDPR) in handling sensitive data.
- Automate repeatable tasks in the ML lifecycle to enhance productivity and reduce errors.
- 3+ years of experience in ML Ops, DevOps, or a similar role.
- Strong experience with cloud platforms, especially AWS.
- Proficient in containerization (Docker, Kubernetes) and microservices architecture.
- Experience with orchestration tools (e.g., Airflow, Kubeflow).
- Solid understanding of version control and CI/CD tools (Git, Jenkins).
- Strong programming skills in Python or another language relevant to machine learning.
- Familiarity with machine learning frameworks (TensorFlow, PyTorch, scikit-learn).
- Ability to troubleshoot performance and security issues in machine learning systems.
- Future career opportunities with international exposure.
- A supportive and diverse environment that allows our employees to thrive and learn.
- Flexible working arrangements.
- Private medical healthcare.
- Motivizer card.
- Life insurance.
- Internal and external training opportunities.
- Sharing the costs of sports activities.
- Private medical care.
- Remote work opportunities.
- Flexible working time.
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