Machine Learning Engineer
7 days ago
Role Description
We plan these tasks for you:
- Develop, fine-tune and deploy machine learning models and algorithms in a production environment
- Prepare and process data, ensuring data quality and integrity
- Evaluate, optimize and monitor model performance in a production environment
- Scaling and integrating artificial intelligence and machine learning systems into existing infrastructure
- Develop and maintain automated machine learning pipelines and MLOps processes
- Proper knowledge of OpenSource libraries
- Develop APIs and other interfaces for machine learning models
- Participate in model versioning, deployment and development of CI/CD processes
- Close collaboration with data scientists, software developers and business analysts
- Continuously follow and apply the latest ML and AI trends, tools and methodologies
Qualifications
We expect the following from you:
- BSc/MSc degree (in computer science, computer engineering, electrical engineering, mathematics or a related field)
- Minimum 5 years of relevant experience in developing machine learning models and putting it into production
- Deep knowledge of Python, including libraries for ML and AI development (e.g. TensorFlow, PyTorch, Scikit-learn)
- Experience in deploying and scaling ML models (e.g. Docker, Kubernetes, MLflow, Kubeflow)
- Good database management skills (e.g. SQL, NoSQL)
- Experience with cloud-based ML solutions (AWS, Azure, GCP)
- Strong analytical thinking and problem-solving skills
- Ability to handle and model large amounts of data
- Excellent communication skills, especially in clearly presenting the operation and results of ML models
- Intermediate English language skills
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