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Senior Software Developer AI Platform

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Job Location drjobs

Ottawa - Canada

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

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

Join a fullstack AI/ML team at Kinaxis that delivers complete functionality from the platform to the solution which functions in the supply and demand space for verticals such as Retail Consumer Packaged Goods Life Sciences and others. This includes problems in the space of forecasting optimization replenishment recommendation explainability and more. Our solutions delight customers worldwide.

What you will do

Were looking for a Senior Software Developer who thrives at the intersection of machine learning and software engineeringsomeone who sees AI not as a layer but as a firstclass system component.
  • Youll contribute across the full development lifecycle from idea to deployment and beyond. Whether its building intelligent forecasting systems optimizing global replenishment models or integrating explainable AI into userfacing workflows youll solve critical problems that touch millions of lives.
  • This isnt just about calling ML APIs. Its about building AI products endtoend at scale with all the realworld messiness and architectural complexity that entails.
  • Own complex AI features from design to delivery collaborating across product data science and engineering teams.
  • Build scalable ML pipelines that operate on massive fastmoving data streams.
  • Implement and optimize models for forecasting classification recommendation NLP and decision optimization.
  • Contribute to architectural decisions from microservice design to orchestration in Kubernetes.
  • Drive code quality through code reviews unit tests and CI/CD practicesyoure a quality champion not
    just a code generator.
  • Set up new development tools and infrastructure (Docker Kubernetes cloud services) to streamline processes.
  • Mentor and learn alongside passionate teammates in a hightrust highimpact environment.
  • Stay current with best practices in AI/ML and software architectureand help shape what great looks
    like at Kinaxis.
  • Log and eliminate complex or subtle bugs in the product to ensure we deliver a great quality product.

What we are looking for

  • Masters or PhD in Computer Science or related field with a focus in artificial intelligence machine learning or a related specialization.
  • 5 years in AI/ML enterprise software development; experience leading complex highimpact features.
  • Solid Python development (OOP design patterns data structures) including debugging and performance optimization.
  • Deep understanding of algorithms and data structures related to ML pipelines and largescale data processing.
  • Proven ability to train finetune evaluate and deploy ML modelsunderstanding the full ML lifecycle.
  • Experience with machine learning algorithms for forecasting clustering classification recommendation systems NLP and others.
  • Handson expertise with popular ML frameworks (PyTorch TensorFlow Scikitlearn XGBoost LightGBM) and data manipulation libraries (Pandas SQL).
  • Familiarity with containerization (Docker) and orchestration (Kubernetes) in *nix environments.
  • Experience with continuous integration continuous delivery continuous deployment and other modern DevOps practices.
  • Solid grasp of software engineering best practices including testing version control observability.
  • Experience working with major cloud technologies (AWS Azure or GCP)
  • Ability to plan and drive features from requirements gathering through design implementation and to release and maintenance.
  • Working knowledge of software testing. Familiar with and able to compare the values and uses of several testing frameworks and methodologies.
  • Proven analytical problemsolving and communication skills to explain complex concepts clearly.
  • Leadership & Mentoring: Provide guidance on best practices to junior developers and help shape team culture.
  • Collaboration: Participate in crossteam discussions offering informed opinions and bridging gaps between product and engineering.
  • Communication: Articulate complex technical topics for diverse audiences; give and receive constructive feedback.
  • Adaptability: Thrive in a fastpaced environment open to evolving technologies and embrace continuous learning.

Nice to have

  • Experience with workflows (e.g. Argo workflows)
  • Supply chain domain knowledge
  • Retail and CPG business domain knowledge
  • SaaS multitenant and AI/ML platforms development experience (microservice frameworks queuing systems eventbased processing and web services).
  • Experience of distributed computing architectures (e.g Spark Hive)

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:

Senior IC

Employment Type

Full-Time

Company Industry

Department / Functional Area

Engineering

About Company

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