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Machine Learning Engineer
3 weeks ago
On one side, you will work with us on interesting recruiting mandates. With recruiting for them we’ll show HR departments step by step the benefits of a data-driven approach :) On the other hand, you’ll collaborate with us to implement solutions for our clients.Requirements
MSc or PhD in Computer Science / Data Science
Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch)
Strong programming skills (Python, R, or similar)
Scripting experience with Deluge is highly desired
Experience with data pre-processing, model selection, and optimization
Ideally, you’ve already worked on Human Resource use cases; alternatively Marketing use cases would be relevant.
Responsibilities:Collaborating with cross-functional teams to understand data requirements and transform prototypes into robust machine learning solutions
Working with sentiment analysis, predictive analytics, and LLMs
Researching and implementing suitable machine learning algorithms and tools
Conducting data pre-processing
Optimizing models for accuracy, efficiency, and scalability
Collaborating with software engineers to integrate machine learning solutions into applications seamlessly
Customizing solutions to meet individual client needs
Benefits•
Exciting Projects:
You’ll work on diverse and interesting projects•
Impact : You contribute to meaningful change• International Team:
You’ll collaborate with leading experts from all around the world• Amazing Team:
We enjoy our work, but we enjoy our Apéros almost the same• Growth:
The Digital HR Ecosystem is constantly expanding, and you have the opportunity to be part of our success.RequirementsMSc or PhD in Computer Science / Data Science Proficiency in machine learning frameworks (e.g., TensorFlow, PyTorch) Strong programming skills (Python, R, or similar) Scripting experience with Deluge is highly desired Experience with data pre-processing, model selection, and optimization Ideally, you’ve already worked on Human Resource use cases; alternatively Marketing use cases would be relevant. Responsibilities: Collaborating with cross-functional teams to understand data requirements and transform prototypes into robust machine learning solutions Working with sentiment analysis, predictive analytics, and LLMs Researching and implementing suitable machine learning algorithms and tools Conducting data pre-processing Optimizing models for accuracy, efficiency, and scalability Collaborating with software engineers to integrate machine learning solutions into applications seamlessly Customizing solutions to meet individual client needs
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