- Position: Senior/Lead Machine Learning Engineer
- Working mode: 100% remote
- Contract type: B2B
For our client, an IT company specializing in new product development and R&D, tackling the most difficult problems in the tech sphere. They have expanded to offer early-stage innovation and ideation plus digital transformation business consulting. Their superpower is to deliver all of this under one roof on a global scale. So let’s get started and build a better future together! Currently, we are looking for an experienced software engineer with expertise in machine learning to spearhead the development of cutting-edge ML/DL models tailored to ultra-low-power devices. You will play a key role in the end-to-end pipeline—from sensor data acquisition and signal processing to model optimization and deployment on microcontrollers.
Responsibilities:
- ML/DL Model Development
- Design, implement, and optimize ML/DL models for ultra-low-power devices, focusing on efficient use of limited resources.
- Collaborate with firmware developers to integrate models into embedded systems. Signal Processing & Feature Extraction
- Process and analyze sensor data (e.g., accelerometers, GPS) to extract meaningful features and insights.
- Leverage advanced signal processing techniques and algorithms to improve data quality and model accuracy. Data Collection & Management
- Curate and manage datasets, ensuring data quality and relevance for training and testing.
- Oversee data collection processes, coordinate sensor setups, and validate incoming data for consistency and accuracy. Model Optimization
- Implement and maintain model compression, quantization, and pruning techniques for microcontrollers.
- Conduct performance analysis and benchmark models across different hardware platforms.
- Work closely with firmware developers to ensure smooth model integration and real-time deployment.
- Mentor junior engineers, provide technical guidance, and help shape the overall ML roadmap.
Requirements:
- Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or related field; PhD is a plus.
- Software engineering experience with experience in designing and deploying ML/DL models, with a strong emphasis on signal processing.
- Good level of English (both written and spoken), min. B2
- Proficiency in Python and at least one deep learning framework (e.g., TensorFlow, PyTorch).
- Strong understanding of signal processing algorithms (Fourier transforms, filtering, denoising, feature extraction).
- Experience with sensor data (accelerometers, GPS) and data collection pipelines.
- Hands-on experience with embedded systems and microcontroller-based deployments.
- Familiarity with model optimization techniques such as quantization, pruning, and knowledge distillation.
- Comfortable with Git, CI/CD pipelines, and version control best practices. Soft Skills
- Excellent problem-solving skills and attention to detail.
- Strong communication and collaboration abilities.
- Ability to work effectively in a fast-paced, cross-functional environment.
Nice to have:
- Familiarity with C/C++ for embedded firmware development.
- Experience with ultra-low-power device constraints and power management techniques.
- Prior contributions to open-source ML or signal processing projects.
- Knowledge of hardware design and sensor fusion techniques.
The offer:
- Working model- remote
- Contract: B2B
- Salary: 7 000 – 9 000 USD/month