LIME
LIME develops, produces and distributes innovative rehabilitation robotics for hand therapy.
11 - 50 employees
Senior Machine Learning Engineer – AI Team
Job not on LinkedIn
October 13
LIME
LIME develops, produces and distributes innovative rehabilitation robotics for hand therapy.
11 - 50 employees
📋 Description
• Design and implement machine learning pipelines with a focus on computer vision and deep learning • Identify, extract and process data from relevant data sources for model development • Create tests and evaluations to assess the application performance of machine learning models • Collaborate closely with our software and product teams • Continuously develop yourself and think outside the box
🎯 Requirements
• Significant experience in Python, Java, or a similar high-level programming language • At least 5 years of experience • Experience in one or more of the following areas: machine learning, neural networks, deep learning, computer vision, TensorFlow, PyTorch, Keras, big data management, data pipelines • Experience working with shared codebases in a professional environment • Experience in data science or working with large amounts of data • Familiar with clean coding principles and software testing • Clever and creative – you question the status quo and contribute your ideas
🏖️ Benefits
• Comprehensive Health Coverage: Full medical insurance to keep you and your health protected • Secure Your Future: Provident Fund (PF) contributions to build your financial security • Work-Life Balance: 30 days of paid vacation to recharge and pursue your passions • Invest in Yourself: Professional development support for courses and certifications with prior approval – because your growth is our growth • One Team One Dream: Be part of the mission, take responsibility, and grow together with us • Best Ideas Win: Join an inspiring team where arguments matter more than titles • Continuous Growth: Push your limits through continuous learning with courses, mentoring, and feedback • Freedom & Responsibility: Decide for yourself when, where, and how you work. In the end, results are what count
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