Software Developer With Ml Background
Abu Dhabi, United Arab Emirates
Job Description
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WE ARE LOOKING FOR Software Developer with ML Background
We are looking for Software Developer with ML Background to join Unikie Team in UAE. You will start your journey in a selected customer project. Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, theres a good team spirit, low-hierarchy and nonexistent bureaucracy. This project aims to transition pre-developed machine learning models from the research phase into a production environment within a specified technology stack. This involves adapting and optimizing these models to ensure compatibility with embedded devices and establishing MLops practices. The role of the Software Developer is crucial for successfully integrating these technologies and maintaining operational stability.
We are looking for Software Developer with ML Background to join Unikie Team in UAE. You will start your journey in a selected customer project. Your future colleagues are waiting for you to join our international team. Working with us is uncomplicated, theres a good team spirit, low-hierarchy and nonexistent bureaucracy. This project aims to transition pre-developed machine learning models from the research phase into a production environment within a specified technology stack. This involves adapting and optimizing these models to ensure compatibility with embedded devices and establishing MLops practices. The role of the Software Developer is crucial for successfully integrating these technologies and maintaining operational stability.
Skills Required
- C++ Buutcamp
- Machine Learning
- PyTorch
- MLOps
- Python
Locations
- Abu Dhabi, UAE
The Software Developer will be responsible for the following:
1. Integration of Machine Learning Models: Leverage extensive experience in PyTorch, quantization techniques, and embedded system programming to integrate machine learning models into the designated software stack. Ensure models are optimized for real-time processing and prediction on embedded devices.
2. DataManagement: Manage and structure datasets required for model validation and operation within production environments. Ensure adherence to data integrity and compliance with data protection standards.
3. Optimization for Embedded Systems: Adapt and fine-tune machine learning models using C and C++ to enhance performance and efficiency on low-power embedded devices.
4. Support for MLops: Implement and support MLops infrastructure to automate machine learning models\' deployment, monitoring, and lifecycle management in production settings.
5. Performance Monitoring: Regularly assess model performance on embedded platforms, implementing updates and optimizations to ensure they meet operational demands.
6. Collaboration and Reporting: Collaborate with the research and software engineering teams to ensure seamless translation of models into production. Provide bi-weekly updates on integration progress and system performance.
1. Integration of Machine Learning Models: Leverage extensive experience in PyTorch, quantization techniques, and embedded system programming to integrate machine learning models into the designated software stack. Ensure models are optimized for real-time processing and prediction on embedded devices.
2. DataManagement: Manage and structure datasets required for model validation and operation within production environments. Ensure adherence to data integrity and compliance with data protection standards.
3. Optimization for Embedded Systems: Adapt and fine-tune machine learning models using C and C++ to enhance performance and efficiency on low-power embedded devices.
4. Support for MLops: Implement and support MLops infrastructure to automate machine learning models\' deployment, monitoring, and lifecycle management in production settings.
5. Performance Monitoring: Regularly assess model performance on embedded platforms, implementing updates and optimizations to ensure they meet operational demands.
6. Collaboration and Reporting: Collaborate with the research and software engineering teams to ensure seamless translation of models into production. Provide bi-weekly updates on integration progress and system performance.
WHY JOIN UNIKIE?
We are dedicated partner for global players in our segments - Unikie supplies technology solutions and services to several global Fortune 500 companies in EMEA and America.
As a responsible and competent partner, we have access to some of the most interesting projects. Technology we create enables our clients to become digital leaders in their own industries.
We cherish transparency and do our best that it shows up in as many processes as possible. One example of this is our salary model.
We have top-notch technical talent, dedication and excitement to develop ourselves and solve even the toughest challenges.
The combination of our agile teams, proven track record, industry insight, and holistic service and solution model place us at the forefront of cutting-edge technologies.
Work in a flexible low-hierarchy organization that looks after its own.
Unikie is a global software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions. We provide intelligent solutions for the automotive, heavy equipment, transportation & logistics, devices & IoT, and networks & communication industries.
With over 600 engineering professionals and a revenue of 56 million euros (2022), Unikie is a premium partner for unique embedded software and marshalling solutions that create value and success in the evolving digital landscape of tomorrow.
Unikie is a global software engineering and innovation company that infuses intelligence into machines, vehicles, and industrial solutions. We provide intelligent solutions for the automotive, heavy equipment, transportation & logistics, devices & IoT, and networks & communication industries.
With over 600 engineering professionals and a revenue of 56 million euros (2022), Unikie is a premium partner for unique embedded software and marshalling solutions that create value and success in the evolving digital landscape of tomorrow.
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Job Detail
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Job IdJD1663011
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IndustryNot mentioned
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Total Positions1
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Job Type:Full Time
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Salary:Not mentioned
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Employment StatusPermanent
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Job LocationAbu Dhabi, United Arab Emirates
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EducationNot mentioned