Machine Learning Lead

Location: Remote (Office available in Munich, Germany)

Employment Type: Full-time (35 hours)

Company Description: AIDY is an award-winning health tech startup dedicated to revolutionizing elder care with innovative technology solutions. Our mission is to enhance independent living for the elderly by integrating advanced AI-driven health monitoring systems into everyday life. We aim to provide non-intrusive, real-time activity insights and emergency alerts, ensuring safety and peace of mind for seniors and their caregivers.

Role Description: We are seeking an experienced Machine Learning Lead to join our dynamic and mission-driven team. In this leadership role, you will be responsible for guiding our machine learning initiatives and overseeing the development and deployment of cutting-edge AI solutions aimed at improving elder care. You will lead a team of talented machine learning engineers, collaborate with cross-functional teams, and drive the strategic direction of our AI projects.

Responsibilities:

• Lead the design, development, and deployment of advanced machine learning algorithms focused on real-time health monitoring and emergency alert systems for the elderly.
• Provide technical leadership and mentorship to a team of machine learning engineers, fostering a collaborative and innovative work environment.
• Utilize pattern recognition, sensor fusion, and neural network techniques to extract meaningful insights from diverse health data sources.
• Oversee the analysis of large datasets relevant to elder care scenarios, ensuring the development of reliable and effective machine learning models.
• Collaborate with product managers, software engineers, and other stakeholders to refine statistical models and design algorithmic solutions addressing key challenges in elder care.
• Conduct thorough evaluations and assessments of machine learning models, ensuring their accuracy, reliability, and real-world applicability.
• Ensure compliance with data protection regulations and implement privacy-respecting methods when handling sensitive health data.
• Stay abreast of the latest advancements in machine learning and AI technologies, and drive the adoption of best practices within the team.

Requirements:

• Proven experience in leading and managing machine learning projects, preferably within the healthcare or elder care domain.
• Strong proficiency in developing and deploying machine learning models, with expertise in TensorFlow, PyTorch, or similar libraries.
• Deep understanding of neural networks, pattern recognition, and sensor fusion technologies.
• Experience with cloud-based platforms and tools for scalable deployment of machine learning solutions.
• Strong problem-solving skills and the ability to work collaboratively in a fast-paced, startup environment.
• Excellent communication skills, both written and verbal, to effectively lead a team and collaborate with cross-functional teams.
• Demonstrated experience in handling large datasets and applying advanced machine learning techniques.

Preferred Qualifications:

• PhD or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
• Experience with Large Language Models (LLMs) and their applications in healthcare.
• Familiarity with data protection regulations and best practices for handling sensitive health data.
• Demonstrated ability to translate complex technical concepts into practical solutions that address real-world challenges in elder care.

Benefits:

• Opportunity to be a key player in a rapidly growing, mission-driven startup.
• Collaborative and innovative work environment.
• Competitive salary and equity options.
• Professional development opportunities and support for continuous learning.
• Flexible work hours and remote work options.

Apply now and be part of a team that makes a real difference in the lives of seniors and their families!