[Remote] Senior Software Developer, AI Solutions ( 12 months Contract)

Note: The job is a remote job and is open to candidates in USA. Kinaxis is a global leader in supply chain management, dedicated to solving complex challenges in the industry. They are seeking a Senior Software Developer for AI Solutions to work within the Machine Learning R&D team, focusing on developing intelligent supply chains and delivering software that enhances business operations. Responsibilities • As a data engineer, you are passionate about shipping large-scale software systems in a fast-paced environment but can balance longer term issues such as maintainability, scalability, and quality • You are an experienced software engineer who is passionate about delivering software that supports and facilitates business operations of AI solutions • You have a strong understanding of Cloud technologies and Cloud agnostic software architecture and have experience troubleshooting high scale solutions that are deployed and upgraded on a regular cadence • You have a passion for software reliability and know how to ensure user needs are met through cross-functional stakeholder understanding and engagement • You enjoy understanding both the details of the use cases that end-users are performing using the solution as well as the architecture and implementation of the system end to end • You have a strong interest in resolving issues as well as designing effective methods for troubleshooting, preventing, and debugging problems in software systems, getting to the root cause of issues, meeting the users’ needs and influencing the product development roadmap • You are excited about finding ways to develop product capabilities and tools that increase robustness of the user experience, reduce the cost of troubleshooting, or reduce the time required to address issues • You are fluent in SQL & Python, have experience working with distributed computing, big data frameworks and are very knowledgeable about Kubernetes and Docker • You also have experience working with and building Machine Learning pipelines and models • 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 • You work well in a cross-functional team and can listen and contribute to discussions • Your primary focus is analyzing complex datasets, finding insights from data, creating data model and ETL pipelines that are required as part of the development of robust, scalable, and data-intensive Machine Learning software systems that drive business critical customer value Skills • BS or MS in Computer Science/Software Engineering or equivalent work experience • Experience with data modelling, data streaming, data transformation, modern data stores, building data pipelines (ETLs) • Experience with data management and data engineering in Production Systems • Strong customer orientation and understand the system end-user perspective • Understand project scoping documents & client datasets, drive data discovery sessions with clients (including Q&A and follow-ups) • Carry out data exploration & analysis (EDA) • Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring) • Strong software engineering skills and strong programming skills in Python/Pandas/ML Libs • Proficiency in SQL – advanced, window functions, aggregate functions, joins, etc • Experience with the use of Kubernetes at scale, Docker, and big data frameworks • Proven understanding of distributed computing architectures • Excellent communication skills with the ability to clearly explain technical terms to non-technical audience • Experience in Kubernetes ecosystem like Helm and Argo workflow, CI/CD • Experience with Machine Learning Solutions and productization • Data manipulations in python – wrangling & manipulating large datasets in spark & pandas dataframes • Supply chain domain knowledge - Supply Chain Management, especially demand planning aspects, CPG, Manufacturing etc • Knowledge of how drivers influence demand, e.g., pricing, promotions, initiatives, external factors like weather patterns etc Benefits • 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 Company Overview • Kinaxis is a leading provider of cloud-based subscription software. It was founded in 1995, and is headquartered in Ottawa, Ontario, CAN, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship • Kinaxis has a track record of offering H1B sponsorships, with 11 in 2025, 6 in 2024, 10 in 2023, 9 in 2022, 4 in 2021, 9 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job