Senior Software Developer, Machine Learning (18-Month Term)

About Kinaxis  

Location

Our office in Ottawa, Canada 

About the team

The AI team is responsible for delivering machine learning solutions in the supply and demand space for verticals such as Retail, Consumer Packaged Goods, Life Sciences etc. This includes problems in the space of forecasting, optimization, replenishment, recommendation, explainability, and more. The uniqueness of the team is that it performs at the intersection of technology and real business problems. You will contribute to the product that delights customers world-wide!

What you will do

• All aspects of the machine learning development life cycle are familiar to you.  You are passionate about shipping large-scale software systems in a fast-paced environment, but you can balance longer term issues such as maintainability, scalability and quality. 
• You have worked with machine learning and data analysis libraries but realize building a machine learning system is much more than just calling a few APIs. You have a strong interest in troubleshooting, debugging problems, integrating software end to end, building and setting up new development tools and infrastructure, excited about finding ways to automate and improve development and release processes while mentoring other developers.
• You’re fluent in Python object-oriented development and in the cloud. In addition to working with modern data storage, familiarity with Kubernetes, docker and have hands-on experience with big data technologies. You have the ability and enthusiasm to learn new technologies whether they are infrastructure or language or platform, and easily adapt to change.
• You are a team player, a quick starter and a problem solver. As well as comfortable talking requirements with product managers. You work well in a cross-functional team and can listen and contribute to discussions. Ideally provide readily available solutions while considering technical aspects, effort, and risk. Your primary focus is shipping large-scale machine learning software that drives customer value by building robust, scalable and data-intensive systems.

What we are looking for

• Bachelor’s degree or equivalent in Computer Science or a related field with focus in machine learning.
• Strong software engineering skills with a minimum of 5 years’ experience in ML enterprise software development.
• Solid background in Machine Learning fundamentals, statistical methods for ML, Bayesian methods, parametric and non-parametric methods, variational inference, generative models, stochastic processes, model explainability, etc.
• Solid experience with data processing using Spark
• Hands on experience with Deep Learning techniques such as network architectures, transformers, embeddings, regularizations, optimization strategies, transfer learning, distillation, etc.
• Practical experience in and strong understanding of machine learning algorithms and relational data with experience writing, debugging and optimizing ML data structures, pipelines and transformations, with Python/Pandas/SQL
• Familiarity with PyTorch, TensorFlow, JAX.
• Experience working in Linux environments and in the cloud with containerization technologies (Docker, Kubernetes, Argo, Helm).
• Proven understanding and experience of distributed computing architectures.
• Disciplined approach to software testing including unit and integration test as well as CI/CD.
• Strong written and verbal communication skills and can easily articulate complex concepts in writing and speech.

Nice to Have:

• Retail business background with supply chain knowledge
• Has knowledge of NLP, Large Language Models (LLM), RAG, fine-tuning and LLM model development and evaluation, familiar with LangChain, agents, vector databases,etc
• SaaS, and multi-tenant platforms development experience (microservice frameworks, queuing systems, event-based processing and web services).
• Experience working with major cloud technologies (AWS, Azure, and GCP)

#Senior #LI-EM1

Work With Impact: Our platform directly helps companies power the world’s supply chains. We see the results of what we do out in the world every day—when 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 we’re committed to net-zero 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 (company-wide day off on the last Friday of every month)
• Flexible work options
• Physical and mental well-being programs
• Regularly scheduled virtual fitness classes
• Mentorship programs and training and career development
• Recognition programs and referral rewards
• Hackathons

For more information, visit the Kinaxis web site at www.kinaxis.com or the company’s blog at http://blog.kinaxis.com. Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at recruitmentprograms@kinaxis.com. This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

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.