Machine Learning Advisor

2 weeks ago


Old Toronto, Canada Avoltacanada Full time

Company: Avolta Position: Machine Learning Advisor Location: Remote (Toronto, ON)

About Avolta: Avolta is a cutting-edge startup focused on revolutionizing automotive anti-theft security. Leveraging advanced technologies, we are dedicated to creating innovative solutions that safeguard vehicles from theft and unauthorized access. As a dynamic and fast-paced company, we are seeking a talented Machine Learning advisor to join our team and contribute to our mission. Position Overview: We are seeking a passionate and motivated Machine Learning advisor to assist our research and development team in advancing our automotive anti-theft security systems. Responsibilities: As a Machine Learning Company Advisor:
  • Engage with the research and development team to grasp the requisites and goals of machine learning initiatives.
  • Support in gathering, preprocessing, and scrutinizing pertinent data for the training and validation of machine learning models.
  • Design and execute machine learning algorithms tailored for vehicle security and anti-theft implementations.
  • Refine existing machine learning models and explore novel strategies to enhance accuracy and efficacy.
  • Actively participate in ideation sessions, offering inventive suggestions to bolster our security solutions.
  • Document and present your contributions comprehensively, detailing methodologies, discoveries, and potential enhancements.
  • Keep abreast of the latest developments in machine learning and security, enriching the team's knowledge repository with valuable insights.
Qualifications: - Enrolled in a relevant undergraduate or graduate program in Computer Science, Machine Learning, Data Science, or a related field preferred. - Solid understanding of machine learning fundamentals and algorithms. - Proficiency in programming languages such as Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn). - Experience with electronics (e.g. microcontrollers) and sensors preferred. - Familiarity with data preprocessing techniques and feature engineering. - Strong problem-solving skills and the ability to work independently as well as collaboratively. - Excellent communication skills to present findings and ideas effectively. - Prior projects or coursework related to machine learning, computer vision, or security is a plus. - A bachelor's or master's degree in computer science, engineering, mathematics, or a related field, with a focus on machine learning, artificial intelligence, or cybersecurity, is typically required. Advanced degrees or relevant certifications are a plus. Benefits: - Hands-on experience in a dynamic startup environment. - Opportunity to work on cutting-edge machine learning projects with real-world impact. - Mentorship and guidance from experienced professionals in the field. - Networking opportunities with fellow industry experts and student interns. The compensation for this advisory role would be pro-bono (unpaid). #J-18808-Ljbffr

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