Senior Applied Scientist, AIML

Kinaxis; Ottawa; Hybrid; CAD 100,000 - 140,000; Full time

Job summary

A leading global technology firm is seeking a Machine Learning Senior Applied Scientist in Ottawa. The ideal candidate will drive AI/ML solutions aimed at enhancing supply chains. Responsibilities include model development, cross-team collaboration, and mentorship of junior staff. Qualifications include a Master's in a quantitative field, extensive experience in ML, and strong programming skills. This is a full-time position with flexible work options.

Benefits

Flexible vacation

Mental well-being programs

Mentorship programs

Hackathons

Qualifications

• Demonstrated competence in working with AI libraries and frameworks.
• 5 years of experience in developing and optimizing machine learning solutions.
• Hands-on experience with Natural Language Processing and Deep Learning.

Responsibilities

• Focus on core challenges of model development and strategy.
• Collaborate with Platform Architects, MLOps, and DevOps Engineers for model deployment.
• Oversee junior ML developers and engage in cross-functional discussions.

Skills

Advanced AI / ML Expertise

Problem-Solving

Lead and execute POCs

Generative AI & Deep Learning Expertise

Cutting-Edge AI Tools

End-to-End ML Software Development

Cloud & Distributed Systems

Scientific Leadership & Mentorship

Technical Communication & Influence

Education

Masters in computer science or a related quantitative field

Tools

Python

Pandas

Spark

Docker

Kubernetes

Job description

Overview

About Kinaxis

Elevate your career journey by embracing a new challenge with Kinaxis. We are experts in tech but it's really our people who give us passion to always seek ways to do things better. As such we're 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 brand-new HQ based in Kanata North in Ottawa. As one of Canada\'s 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 world\'s supply chains to help preserve the planet\'s resources and enrich the human experience. As a global leader in end-to-end 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 offices in Ottawa and Toronto (Hybrid)

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 worldwide!

Kinaxis is seeking a talented and passionate Machine Learning Senior Applied Scientist to join our Machine Learning team. Your work will directly impact our enterprise-grade AI / ML software solutions which are used by hundreds of customers worldwide to manage their supply chains.

What you will do

You will operate as an expert scientist focusing on the core challenges of model development and strategy. Your expertise will be centered on model selection, training and comprehensive evaluation to achieve state-of-the-art results for our customers. This involves translating complex unstructured business problems into well-defined machine learning solutions ensuring that the resulting models and experiments are robust and reproducible. You will write high-quality and scalable code by demonstrating fluency in Python object-oriented development and proficiency in cloud environments.

You are expected to be thoroughly familiar with the end-to-end AI / ML solution development lifecycle. Success in this role requires collaborating closely with Platform Architects, MLOps and DevOps Engineers to integrate and deploy models into production seamlessly. This necessary partnership ensures that your advanced solutions are delivered effectively. You are a technical expert who can oversee junior ML developers, talk requirements with product managers and proactively engage in cross-functional technical discussions bringing your knowledge of ML to the table to ensure successful final delivery.

What we are looking for

• Advanced AI / ML Expertise: Masters in computer science or a related quantitative field with strong theoretical foundation in advanced machine learning concepts including statistical methods for ML, Bayesian methods, generative models, stochastic processes and model explainability.
• Problem-Solving: Demonstrated ability to deconstruct vague or unstructured business goals into well-defined actionable machine learning problems with clear success metrics.
• Lead and execute POCs: Generate hypotheses, design and execute experiments, evaluate outcomes to drive go / no-go decisions and build successful POCs into production-ready software.
• Generative AI & Deep Learning Expertise: Hands-on expertise with Natural Language Processing (NLP), Deep Learning techniques and Large Language Models (LLMs). This includes advanced model training, fine-tuning, architecture design, transformer, embedding, regularization, transfer learning, quantization and knowledge distillation.
• Cutting-Edge AI Tools: Familiarity and experience with the latest AI libraries, tools and frameworks such as AI Agents, RAG, prompt-engineering and vector databases.
• End-to-End ML Software Development: Proven 5 years of experience in developing, debugging, testing and optimizing complex machine learning solutions using Python, Pandas, Spark, etc. Strong software engineering skills.
• Cloud & Distributed Systems: Demonstrated competence in working with Linux, cloud platforms (e.g. AWS, Azure, GCP), containerization tools (Docker, Kubernetes) and applying principles of distributed computing architectures.
• Scientific Leadership & Mentorship: Ability to provide technical guidance, set research goals and effectively mentor and upskill junior team members.
• Technical Communication & Influence: Exceptional verbal and written communication skills with a proven ability to effectively advocate complex technical solutions to both technical and non-technical stakeholders.

Nice to Have

• Ph.D. in computer science.
• Mathematical and Statistical Acumen: Solid mathematical background in linear algebra, probability, statistics and optimization.
• Solution Architecture and Delivery: Experience collaborating closely with Platform Architects and MLOps Engineers to design, implement and optimize the production architecture and deployment pipeline for machine learning solutions.
• Manufacturing & Supply Chain Domain Knowledge: Experience in the manufacturing sector, particularly with supply chain knowledge.
• Research & Publication Record: Publications at relevant venues such as ACL, EMNLP, NAACL, NeurIPS, ICLR, SIGIR or KDD.

#LI-DN1

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

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

Key Skills

Laboratory Experience, Mammalian Cell Culture, Biochemistry, Assays, Protein Purification, Research Experience, Next Generation Sequencing, Research & Development, cGMP, Cell Culture, Molecular Biology, Flow Cytometry

Employment Type : Full-Time

Department / Functional Area : Engineering

Experience : years

Vacancy : 1