Associate Software Developer, Machine Learning

Key Skills

AWS, Azure, Docker, Effective communication skills, Google Cloud Platform (GCP), Kubernetes-K8s, Machine learning techniques, Pandas, Python Programming

Job Description

The team is responsible for applying machine learning algorithms to develop intelligent supply chains. 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

• If you love solving complex problems, analyzing complex datasets, finding insights from data, creating data model and learning new technologies, this role is for you.
• As a software developer, 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 ML & 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 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 excel as a team player, a quick starter, and a problem solver. You thrive in cross-functional teams, actively listening and contributing to discussions. Your expertise lies in engineering solutions for complex machine learning challenges, developing Python-based applications, containerizing apps with Docker, orchestrating container swarms in Kubernetes, and building Argo Workflows. These efforts play a key role in creating ML software systems that deliver critical value to the business and its customers.

What we are looking for

• BS or MS in Computer Science/Software Engineering or equivalent work experience.
• 0 to 2 years of relevant experience.
• You have excellent communication skills with the ability to clearly explain technical terms to non-technical audience.
• Good software engineering skills and strong programming skills in Python/Pandas/ML Libs.
• Exposure to any cloud provider, Azure/GCP/AWS.
• Knowledge of Docker, Kubernetes, Argo Workflows and Helm.
• Knowledge of version control systems – GitHub.
• Exposure to developing REST APIs – Flask/Fast API.
• Proven understanding of distributed computing architectures.
• Understanding of the ML / Modelling process, Feature Generation, Training, Hyper-parameter tuning, predictions (scoring)
• You enjoy solving puzzles and troubleshooting issues.
• You enjoy multi-tasking and providing significant positive impact to the business through your work.

Nice to have

• 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.
• Exposure to Databricks.

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 Ford, Unilever, Yamaha, P&G, Lockheed-Martin, 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 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 recruitmentprograms@kinaxis.com. Please note that this contact information is strictly for accessibility requests and cannot be used to inquire about application statuses.