Data collection team Lead
Or Yehuda, Tel Aviv District, Israel
Applications have closed
LeddarTech
The leader in environmental sensing, fusion and perception for automotive and mobility, LeddarTech delivers actionable data for autonomous driving and ADAS.LeddarTech’s mission is to improve safety and quality of life for travelers, commuters, workers, and mobility industry professionals by enabling applications that reduce traffic congestion, minimize the risk of road accidents, and improve the overall efficiency of road transport. Our values set the roadmap for what we stand for, and are at the core of everything we do.
- We wish to contribute to society by improving mobility and quality of life.
- We create wealth through innovation, unique Intellectual Property and expertise that meet market needs and customer expectations.
- We engage in win-win partnerships to accelerate technology deployment and adoption.
- We are committed to our success, and we are willing to surpass ourselves to reach our goals.
- We recognize our team’s talent, expertise, professionalism, and creativity as an integral part of our success.
Data Collection Team Lead
Are you ready to lead the charge in revolutionizing data collection processes for cutting-edge technology? LeddarTech is seeking a dynamic and skilled individual to join our team as a Data Collection Team Lead. In this role, you'll be at the forefront of ensuring the efficiency and quality of our data life cycle process. If you're passionate about driving innovation, collaborating with cross-functional teams, and spearheading complex projects, this position is made for you.
Responsibilities:
- Contribute to the technical execution of the data life cycle process, including recording, slicing, and quality assurance, to optimize throughput and data quality.
- Review and approve the team's work to maintain high standards of quality.
- Evaluate current data infrastructure and devise plans to align with LeddarTech's business vision.
- Provide recommendations to enhance tools, processes, and pipelines for the data engineering team.
- Develop and update procedures for the entire data life cycle.
- Enhance data annotation policies with support from algorithm and test teams.
- Master annotation policies, tools, and methods to continually improve processes.
- Collaborate closely with data engineering, DEVOPS, IT, and architecture teams to develop optimal data infrastructure solutions.
Team Management:
- Assign and coordinate technical tasks within the team, ensuring efficient execution of the data life cycle.
- Manage project planning and activities with external annotation companies.
- Define requirements for company tools related to data collection and annotation.
- Conduct local training for team members on their responsibilities.
- Provide input on managing resources and hardware requirements for the perception business unit.
Qualifications:
- Bachelor's degree in industrial engineering, electrical engineering, software engineering, or a related technical field.
- 3-5 years of experience in data operations and data management.
- Proven experience managing teams of 10 or more specialists.
- Startup experience is advantageous.
- Familiarity with working in international settings.
- Experience in complex project management.
- 3+ years of experience in a technical role.
- Experience working with international customers and partners.
- Self-motivated with a passion for technology and a strong problem-solving ability.
- Knowledge of software development, particularly Python.
- Proficiency in data formats, robotics, calibration, and neural networks.
Your LeddarTech Environment
- Flexibility: Many positions in the organization allow for flexible and hybrid work hours.
- Collaboration: As a lean organization, everyone’s input matters. You will have the opportunity to influence our technology roadmap and contribute to our common success.
- A Thriving Work Environment: Our offices are modern and be assured you will never have a boring day here.
- The Right Tools Provided: Regardless of your position, we will outfit you with all the tools you need to be successful.
- Investment in Learning: Opportunities to attend seminars, trainings, and conferences to enhance your skills.
#Envision the Road Ahead!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Data management DataOps Data quality DevOps Engineering Industrial Pipelines Python Robotics
Perks/benefits: Career development Conferences Flex hours Startup environment
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