Signal-Processing / Machine Learning Engineer

Dogsolutions; Cádiz; A distancia; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A leading tech company is seeking a Signal-Processing / Machine-Learning Engineer to develop mobile applications enhancing personal well-being through data-driven insights. This role emphasizes transforming biosignals into real-time intelligence, contributing to groundbreaking health tech solutions. Join a passionate team focused on making impactful advancements in digital health.

Formación

• Experienced in signal processing and machine learning.
• Proficient in Python and relevant data science libraries.
• Skilled in designing neural networks for mobile deployment.

Responsabilidades

• Design and implement pipelines for processing biosignals.
• Develop feature extraction methods from physiological data.
• Optimize model performance for low latency on mobile devices.

Conocimientos

Python

Collaboration

Feature Extraction

Algorithm Optimization

Time-series Biometric Data

CI/CD

Mobile Application Development

TensorFlow

Statistical Modeling

Problem Solving

Herramientas

MNE-Python

SciPy

NumPy

JupyterLab

GitHub Actions

Descripción del empleo

Job Title : Signal-Processing / Machine-Learning Engineer

Location : Remote

About Us We are an innovative tech company building a cutting-edge digital well-being platform. Our focus is on developing an intelligent mobile application that leverages advanced technology to enhance personal well-being. Our goal is to create solutions that empower individuals to improve their quality of life through real-time, data-driven insights. We're looking for passionate talent to join our team and make a meaningful difference.

The Opportunity We are seeking a talented and dedicated Signal-Processing / Machine-Learning Engineer to join our growing team. In this pivotal role, you will be responsible for transforming raw biosignals into real-time, on-device intelligence for our mobile application. You will contribute to the core algorithms that power our innovative solution, making a direct impact on how users interact with their well-being. This is an exciting opportunity to work on a project at the forefront of digital health.

What You'll Do

• Design and implement pipelines for processing and cleaning biosignals from various sources.
• Develop and refine feature extraction methods from physiological data.
• Design, prototype, train, and evaluate lightweight neural networks for on-device deployment.
• Focus on optimizing model performance, ensuring low latency and efficient resource usage on mobile devices.
• Develop personalization logic to tailor interventions to individual users.
• Formalize and implement algorithms for analyzing the efficacy of interventions.
• Collaborate closely with the Mobile Lead and QA engineers to integrate models and ensure high quality.
• Python (3.11)
• Libraries for signal processing (e.g., MNE-Python, SciPy / signal, NumPy)
• JupyterLab for development and analysis
• CI / CD tools (e.g., GitHub Actions)

Who You Are

• An experienced engineer with a strong background in signal processing and machine learning.
• Proficient in Python and relevant data science libraries.
• Skilled in designing and optimizing neural networks for mobile and on-device deployment.
• Experienced in handling and extracting features from time-series biometric data.
• Detail-oriented with a focus on model accuracy, performance, and efficiency.
• A collaborative team player with excellent problem-solving skills.
• Passionate about leveraging technology to improve health and well-being.

Join Us! If you are excited by the prospect of building groundbreaking AI and signal processing solutions that directly impact personal well-being, we invite you to join our growing team. Apply now and help us shape the future of digital health

Skills : python,collaboration,feature extraction,algorithm optimization,time-series biometric data,ci / cd,mobile application development,tensorflow-lite,data science libraries,ci / cd tools,feature engineering,mobile development,model optimization,algorithm development,time-series data,statistical modeling,time-series analysis,mobile deployment,machine learning,neural networks,data cleaning,software development,time-series data analysis,tensorflow,biometric data analysis,problem solving,data analysis,signal processing,deep learning Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Other
• Industries Technology, Information and Internet

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