
NucleusTeq - Machine Learning Engineer - Python/R
2 weeks ago
Machine Learning (ML) Engineer is responsible for designing, developing, and deploying machine learning models and systems.
Here's a typical job description :
Responsibilities :
- Designing and developing ML models : Create and fine-tune machine learning models using programming languages like Python or R.
- Data preprocessing : Clean and preprocess data to ensure it is suitable for model training.
- Implementing ML algorithms : Apply appropriate machine learning algorithms to build predictive models.
- Testing and validating models : Run tests to assess model performance and make necessary adjustments.
- Deploying models : Package and deploy models into production environments.
- Monitoring and maintaining models : Continuously monitor model performance and retrain models as needed.
- Collaborating with teams : Work with data scientists, engineers, and other stakeholders to achieve project goals.
- Staying updated : Keep up with the latest developments in machine learning and AI.
Skills :
- Programming proficiency : Strong skills in Python, R, or other relevant programming languages.
- Machine learning expertise : Deep understanding of ML algorithms, libraries, and frameworks.
- Data analysis : Ability to analyze and interpret complex data sets.
- Problem-solving : Strong analytical and problem-solving skills.
- Communication : Excellent communication skills to collaborate with team members and stakeholders.
- Cloud services : Familiarity with cloud platforms like AWS, Google Cloud, or Azure
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Machine Learning Engineer
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