2026 Campus - Embedded Machine Learning Engineer
2026 Campus - Embedded Machine Learning Engineer
Posted on :
23-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Job Description
Responsibilities:
- Develop and optimize Embedded MLinference engines for microcontrollers.
- Train and fine-tune machine learning models using TensorFlow and PyTorch to be deployed on resource-constrained devices.
- Implement and experiment with techniques to improve model performance on low-power and memory-limited devices.
- Collaborate with cross-functional teams to integrate ML solutions into embedded systems.
- Conduct research on new machine learning techniques and tools specifically for Embedded MLapplications.
- Optimize machine learning algorithms to meet the performance and resource constraints of embedded systems.
- Stay up-to-date with the latest advancements in Embedded MLby reading and interpreting technical articles and research papers.
Requirements:
- Bachelors or Masters degree in Computer Science Electrical Engineering or a related field.
- Strong experience with TensorFlow and PyTorch for model training and deployment.
- Proficiency in programming languages such as C C and Python.
- Extensive experience in embedded software development and machine learning.
- Excellent programming skills in at least one of the following: C C or Python.
- Proven ability to read and understand technical articles and research papers in English.
- Strong problem-solving skills and attention to detail.
- Good communication skills and the ability to work collaboratively in a team environment.
- Preferred Qualifications:
- Proven experience with deploying machine learning models to embedded devices specifically for Embedded MLapplications.
- Familiarity with embedded systems microcontrollers and real-time operating systems (RTOS).
- Deep understanding of software development life cycle and best practices for embedded systems.
- Previous experience in a full-time role or significant project in a related field.
- Expertise in optimization techniques for low-power and low-latency machine learning models.
Employment Type
Full-Time
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
