Engineering Manager AIML
Engineering Manager AIML
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Job Description
About Kinaxis
Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech but its really our people who give us passion to always seek ways to do things better. As such were serious about your career growth and professional development because People matter at Kinaxis.
In 1984 we started out as a team of three engineers. Today we have grown to become a global organization with over 2000 employees around the world with a brandnew HQ based in Kanata North in Ottawa. As one of Canadas Top Employers we are proud to work with our customers and employees towards solving some of the biggest challenges facing supply chains today.
At Kinaxis we power the worlds supply chains to help preserve the planets resources and enrich the human experience. As a global leader in endtoend supply chain management we enable supply chain excellence for all industries with more than 40000 users in over 100 countries. We are expanding our team as we continue to innovate and revolutionize how we support our customers.
Location
Our office in Ottawa Canada.
About the team
Kinaxis is on the lookout for an experienced and talentedEngineering Manager of AI/MLwho possesses a strong passion for AI technology and the ability to transform it into userfriendly software products to spearhead one of our innovative research and development groups.In the role of Engineering Manager for an AI Product R&D team you will work closely with senior Engineering leaders to navigate the strategic expansion of our AI solutions and influence both architectural and product trajectories.
Positioned at the forefront of artificial intelligence evolution you will guide developers that have a tangible effect on our enterpriselevel AI software platform and solutions utilized globally by numerous clients to optimize their supply chain.
What you will do
- Provide leadership coaching guidance and development to an engineering team that is dedicated to creating foundational AI/ML product solutions that will be used across our entire product suite and be accessible to all customers.
- You will guide your team in adhering to both product management and technology roadmaps collaborating with product management to establish and follow through on the strategic direction for your teams.
- Utilize your expertise in developing and sustaining highly scalable secure reliable distributed AI systems and managing AI R&D squads to drive teams towards consistent delivery of highcaliber software.
- Partner with senior leaders to shape the future direction of AI Solutions Product Engineering.
- Present on both internal and external platforms about AI Solutions to diverse audiences including clients prospects sales engineers and tech collaborators.
What we are looking for
- BSc in ComputerScience Engineering or equivalent related discipline.
- 57 years of progressive AI/ML experience including strategic leadership high tech global company preferred.
- 3 years of experience leading engineering teams and delivering enterprise data/software products at scale.
- Advanced knowledge in scalable data engineering software engineering and ML Ops.
- Experience with architectural designs technology exploration and innovation management.
- Deep expertise in DataOps MLOps modern data architecture cloudbased data CloudNative ML tech stacks and advancements.
- Highly adaptable and able to pivot based on prioritization and needs of the business; proactively solicits and delivers feedback to ensure alignment.
- Skilled collaborator with a customeroriented tech savvy leadership approach.
- Experience building largescale data platforms in a dataheavy B2B environment.
- Agile and resilient in managing multiple leads and team members under tight timelines.
- An articulate and skilled communicator with the ability to provide clear concise messaging (verbal and written) to multiple audiences and platforms and present information in a way that engages audiences of all levels.
Work With Impact: Our platform directly helps companies power the worlds supply chains. We see the results of what we do out in the world every daywhen we see store shelves stocked when medications are available for our loved ones and so much more.
Work with Fortune 500 Brands: Companies across industries trust us to help them take control of their integrated business planning and digital supply chain. Some of our customers include Lockheed Martin Yamaha P&G Honda and more.
Social Responsibility at Kinaxis: Our Diversity Equity and Inclusion Committee weighs in on hiring practices talent assessment training materials and mandatory training on unconscious bias and inclusion fundamentals. Sustainability is key to what we do and were committed to netzero operations strategy for the long term. We are involved in our communities and support causes where we can make the most impact.
People matter at Kinaxis and these are some of the perks and benefits we created for our team:
- Flexible vacation and Kinaxis Days (companywide day off on the last Friday of every month)
- Flexible work options
- Physical and mental wellbeing programs
- Regularly scheduled virtual fitness classes
- Mentorship programs and training and career development
- Recognition programs and referral rewards
- Hackathons
Kinaxis welcomes candidates to apply to our inclusive community. We provide accommodations upon request to ensure fairness and accessibility throughout our recruitment process for all candidates including those with specific needs or disabilities. If you require an accommodation please reach out to us at Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.
Kinaxis is committed to ensuring a fair and transparent recruitment process. We use artificial intelligence (AI) tools in the initial step of the recruitment process to compare submitted resumes against the job description to identify candidates whose education experience and skills most closely match the requirements of the role. After the initial screening all subsequent decisions regarding your application including final selection are made by our human recruitment team. AI does not make any final hiring decisions.
Required Experience:
Manager
Employment Type
Full-Time
