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Who we are:
Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.
Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.
Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Team Lead, Software Development (Generative AI) who will champion and guide the software developers on a Generative AI team. You will uphold a high technical standard for the team's output while leveraging strong problem-solving and software engineering principles to ensure all products meet critical business needs. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
As a Team Lead, Software Development (Generative AI) your key area of responsibility will be accountable for the end-to-end implementation and deployment of advanced Generative AI-powered solutions, designing, developing, and optimizing of robust, scalable software systems, and driving cross-functional projects, ensuring the team's work directly aligns with core organizational goals to deliver innovative products and services in the telematics industry.
You will need to work closely with senior leadership of the department while owning the technical delivery and mentoring the team to reach their full potential.To be successful in this role you will be an expert in modern Generative AI and LLMs, including transformer architectures, prompt engineering, and RAG systems. In addition, the successful candidate will have a comprehensive understanding of machine learning principles and statistical analysis best practices. You will also have strong leadership, communication, and collaboration skill with the ability to effectively manage and motivate a team, solve complex problems, and make data-driven decisions
How you'll make an impact:
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Lead the design, development, and deployment of cutting-edge Generative AI software applications.
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Oversee the design, development, and maintenance of high-quality, scalable, and secure software applications. Ensure the architectural integrity of applications built on top of Generative AI models.
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Manage, mentor, and coach software developers on the team, fostering their professional growth and technical excellence.
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Serve as the primary technical subject matter expert, guiding the engineering team on a day-to-day basis and providing hands-on support for complex challenges. Own the planning, execution, and delivery of multiple software development projects, ensuring they are completed on time and to a high standard.
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Actively mentor and coach team members on best practices in AI product development, providing timely and constructive feedback to support their professional growth.
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Drive the recruitment and hiring of top-tier Developers for the Ace team, assessing both technical skills and cultural fit.
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Encourage and enable the team to experiment with new technologies and methodologies, making pragmatic trade-offs to meet project goals while fostering a culture of continuous learning.
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Act as the primary technical point of contact for the team. Manage communication with cross-functional stakeholders, translating complex technical insights into clear, actionable reports and presentations. Ensure comprehensive documentation of research, methodologies, and model designs is maintained.
What you'll bring to the role:
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Bachelors in Computer science, Data science, Statistics, Mathematics, or related quantitative fields.
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1-3 years of required supervisory experience.
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Minimum of 3+ years of relevant industry experience in a software development or engineering role.
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Hands-on experience with the entire lifecycle of a Generative AI project, from development to production deployment.
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Expertise in modern Generative AI and LLMs, including transformer architectures, prompt engineering, and RAG systems.
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Expert proficiency in Python, LangGraph, LangChain and SQL.
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Comprehensive understanding of machine learning principles, statistical analysis best practices.
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Experience designing scalable AI architectures on cloud platforms (GCP, Azure).
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Prior experience in telematics, IoT, or large-scale data systems is an asset.
If you got this far, we hope you're feeling excited about this role! Even if you don't feel you meet every single requirement, we still encourage you to apply.
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
Why job seekers choose Geotab:
Flex working arrangements
Home office reimbursement programBaby bonus & parental leave top up programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefitsRetirement savings program*The above are offered to full-time permanent employees only
How we work:
At Geotab, we have adopted a flexible hybrid working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals. We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.
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