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Company Description
Novixpert Tech Inc. is a leader in innovative technology solutions, pushing the boundaries of what’s possible with vision intelligence. Our team is dedicated to creating cutting-edge products that leverage the latest advancements in machine learning and edge computing. We are seeking a passionate and talented Machine Learning Engineer to join our team and contribute to the development of edge-based software applications
Job Overview
As a Machine Learning Engineer, you will work on developing software applications that interface with high-resolution cameras and manage machine learning models at the edge. This role offers hands-on exposure to edge computing and real-world machine learning systems in a collaborative environment.
Key Responsibilities
Collaborate with machine learning and software engineers to understand project requirements and objectives.
Develop and maintain edge-based software applications connected with high-resolution cameras.
Design, write, and optimize orchestration layers for managing ML models and inference outputs.
Implement, test, and deploy machine learning models in edge environments.
Integrate machine learning solutions with hardware and software components.
Analyze and optimize performance of deployed models.
Troubleshoot issues related to model deployment and inference.
Document development processes, model configurations, and system updates.
Qualifications
Graduated with a degree in Computer Science, Electrical Engineering, Data Science, or a related field.
Strong understanding of machine learning fundamentals and applications.
Experience with programming languages such as Python, C++, or Java.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
Basic knowledge of edge computing and IoT concepts.
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.
Eagerness to learn and adapt to new technologies.
What We Offer
- Hands-on experience with machine learning and edge computing applications.
- Mentorship from experienced professionals in the field.
- Opportunity to work on real-world vision-intelligence projects.
- Flexible working hours and a collaborative, growth-oriented work environment.
Click on Apply to know more.