Kinaxis

www.kinaxis.com

3 Jobs

2,111 Employees

About the Company

Kinaxis is a global leader in modern supply chain management. We serve supply chains and the people who manage them in service of humanity. Our software is trusted by renowned global brands to provide the agility and predictability needed to navigate today's volatility and disruption. We combine our patented concurrency technique with a human-centered approach to AI to empower businesses of all sizes to orchestrate their end-to-end supply chain network, from multi-year strategic planning through down-to-the-second execution and last-mile delivery.

Listed Jobs

Company Name: Kinaxis
Job Title: Co-op/Intern AI & HR Process Excellence
Job Description: **Job Title** Co‑op/Intern – AI & HR Process Excellence **Role Summary** Support HR teams in digitizing end‑to‑end people processes by mapping current workflows, identifying manual pain points, and designing AI‑enabled automation solutions. Build, train, and prototype lightweight AI models or agents to demonstrate potential ROI and improve operational efficiency. **Expectations** - Full‑time, 12‑month internship beginning January 2026. - Active collaboration with HR stakeholders across hiring, onboarding, performance, talent movement, and off‑boarding. - Deliver clear, actionable recommendations with technical feasibility and implementation considerations. - Keep abreast of generative AI and HR technology trends and apply insights to project work. **Key Responsibilities** 1. Map existing hire‑to‑retire processes using workflow tools. 2. Identify redundancies, bottlenecks, and manual tasks suitable for AI or smart agent intervention. 3. Build and fine‑tune lightweight AI models or agents (LLMs, automation platforms) for proof‑of‑concepts. 4. Create process simulations or prototypes to quantify time and cost savings. 5. Document findings, prepare stakeholder presentations, and outline implementation plans. 6. Monitor emerging AI and HR tech developments and assess applicability. **Required Skills** - Strong programming in Python. - Proficiency with machine learning and NLP libraries (e.g., TensorFlow, PyTorch, Hugging Face, spaCy, NLTK). - Experience training or fine‑tuning AI agents or language models. - Ability to analyze complex processes, deconstruct problems, and communicate solutions to non‑technical audiences. - Familiarity with workflow mapping tools (e.g., Visio, Lucidchart, Bizagi). - Passion for automation opportunities in people processes and commitment to improving user experience. **Required Education & Certifications** - Current enrollment (full‑time) in a bachelor’s or master’s program in Computer Science, Artificial Intelligence/Machine Learning, Engineering, or a related field. - Or recent graduate with a graduation date within 12 months of placement end. - No specific certifications required; knowledge of AI/ML frameworks and HR process concepts preferred.

Company Name: Kinaxis
Job Title: Co-op/Intern Developer, Machine Learning
Job Description: Job Title: Co‑op/Intern ML Developer Role Summary: Provide full‑time developer responsibilities on an ML team, developing production‑ready microservice code in Python, participating in technology selection, and contributing to end‑to‑end machine‑learning solutions for supply‑chain applications. Expectations: - Treat as a full‑time developer: deliver code, collaborate with mentors, and make measurable contributions within weeks. - Participate in demos, executive briefings, and patent‑eligible work. - Engage in continuous learning, experimentation, and knowledge sharing. Key Responsibilities: - Write, test, and maintain Python code for microservice architectures. - Develop and deploy machine‑learning models into production environments. - Collaborate on tech‑stack decisions and prototype new product ideas. - Prepare demo materials for executives and support patent application documentation. - Seek guidance from a mentor and contribute to team knowledge bases. Required Skills: - Proficient in Python programming. - Strong fundamentals in machine‑learning concepts and algorithms. - Experience with microservice or distributed system design. - Demonstrated hands‑on ML experience (work terms, hackathons, competitions). - Curiosity, rapid learning, and willingness to experiment. - Effective team collaboration and communication. Required Education & Certifications: - Currently enrolled full‑time in a Computer Science or Engineering program, or recent graduate with at least 1 year completed. - No specific certifications required.

Company Name: Kinaxis
Job Title: Senior Data Engineer, AI Solutions ( 12 months Contract)
Job Description: Job title: Senior Data Engineer, AI Solutions (12 months Contract) Role Summary: Deliver & maintain large‑scale data pipelines and AI solutions for supply‑chain intelligence, ensuring scalability, reliability, and performance across cloud‑agnostic architectures. Collaborate with cross‑functional teams to translate business requirements into robust data and machine‑learning workflows. Expactations: • Ship production‑ready data infrastructures within fast‑paced environments. • Balance short‑term delivery with long‑term maintainability. • Proactively design and implement monitoring, troubleshooting, and debugging processes. • Engage stakeholders to capture user needs and influence product roadmap. • Continuously learn and apply emerging data, cloud, and ML technologies. Key Responsibilities: • Design, build, and optimize ETL and streaming pipelines (SQL, Python, PySpark). • Develop and deploy ML pipelines, feature engineering, and model scoring services. • Manage data storage solutions, including modern data lakes and warehouses. • Operate and scale Kubernetes clusters and Docker containers for data services. • Conduct data exploration, EDA, and provide actionable insights. • Implement and maintain CI/CD workflows for data and ML deployments. • Collaborate with data scientists, product owners, and operations to refine data models and business logic. • Perform root‑cause analysis and enforce best practices for system reliability. Required Skills: • 5+ years of professional software/data engineering experience. • Advanced proficiency in SQL (window functions, complex joins, aggregates). • Strong Python skills (Pandas, NumPy, ML libraries such as scikit‑learn, XGBoost, TensorFlow/PyTorch). • Experience with distributed computing frameworks (Spark, Flink, Beam). • Kubernetes at scale and Docker containerization. • Proven data modeling, data streaming, and ETL pipeline development. • Familiarity with big data storage (Delta Lake, Hudi, BigQuery, Redshift, Snowflake). • Excellent debugging, troubleshooting, and performance tuning abilities. • Strong communication and stakeholder‑management skills. Required Education & Certifications: • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related field. • 5+ years of relevant industry experience. • (Optional) Certifications: Google Cloud Professional Data Engineer, AWS Certified Data Analytics – Specialty, Azure Data Engineer Associate.