AI/ML Engineer @ AVENGA
3 weeks ago
- 4+ years of experience in a similar role
- Experience with AI as well as more traditional machine learning workflows using frameworks like TensorFlow, PyTorch, or Scikit-learn
- Experience with Azure Machine Learning (AML) for training, deploying, and managing AI models
- Experience in data preprocessing, data engineering and feature engineering for AI/ML pipelines (e.g. Databricks)
- Experience in creating CI/CD pipelines for ML models (Azure DevOps, MLOps practices) as well as containerization for AI applications (Docker, Kubernetes, AKS)
- Proficiency in Python for AI model development and automation
- Have experience in model performance monitoring and logging (Azure Monitor, Application Insights, ML model metrics)
- Ability to reason with statistical modeling and communicate results effectively to other team members and management layers.
- Located in Poland
We are looking for an AI/ML Engineer who will join a team of our client a Swedish-based client, that produces first-rate products in the areas of heat transfer, separation and fluid handling.
This is fully remote position.
The recruitment process includes an HR screening, a technical interview, and a meeting with the client.
,[As an AI/ML Engineer, you will design, develop, and deploy AI/ML models, manage data pipelines, and optimize workflows. , You'll leverage cloud platforms for model training, deployment, and monitoring while automating processes with CI/CD pipelines. , Containerizing applications and ensuring scalable, reliable deployments will be key, along with monitoring model performance. , Strong communication skills are essential to present insights to both technical and non-technical teams.] Requirements: Python, Docker, Kubernetes, AI, Azure Machine Learning, AI/ML Tools: . Additionally: Remote work, Private healthcare, Training budget, Small teams, International projects.-
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