Senior Software Developer, Machine Learning

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 based in Ottawa, Canada. Today, we have grown to become a global organization with over 2000 employees around the world, and support 40,000+ users in over 100 countries. As a global leader in end-to-end supply chain management, we enable supply chain excellence for all industries. We are expanding our team in Chennai and around the world as we continue to innovate and revolutionize how we support our customers.

Our journey in India began in 2020 and we have been growing steadily since then! Building a high-trust and high-performance culture is important to us and we are proud to be Great Place to Work® Certified TM . Our state-of-the-art office, located in the World Trade Centre in Chennai, offers our growing team space for expansion and collaboration.

Location

Chennai, India

About The Team

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 senior 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

We're looking for a highly experienced and self-driven Senior Machine Learning or Data Science Developer to join our growing team. This role requires a strong mix of data science expertise, software engineering skills, and problem-solving ability to build scalable, production-grade solutions.

Education & Experience

• Bachelor’s or master’s degree in computer science, Software Engineering, Data Science, or a related field, or equivalent practical experience.
• 10–15 years of relevant industry experience.
• At least 5 years of hands-on experience in building and deploying Machine Learning or Data Science solutions in a production environment.
  
  

Technologies we use

• Strong programming skills in Python, with deep expertise in Pandas, NumPy, and major ML libraries (Scikit-learn, XGBoost, LightGBM, etc.).
• Experience with developing REST APIs using frameworks such as Flask or FastAPI.
• Solid experience working with Docker, Kubernetes, Helm, and Argo Workflows in production environments.
• Experience with CI/CD pipelines, preferably using GitHub Actions or similar tools.
• Proficiency in version control systems like Git/GitHub.
• Hands-on experience working with cloud platforms such as Azure, GCP, or AWS.
• Experience with distributed computing frameworks like Spark, and platforms like Azure Databricks or AWS EMR.
  
  

Machine Learning Expertise

• Solid understanding of the end-to-end ML lifecycle: data preparation, feature engineering, model training, hyperparameter tuning, model evaluation, and deployment.
• Experience working with structured and unstructured data, large-scale datasets, and optimizing pipelines for performance and scalability.
• Ability to write modular, testable, and maintainable code for ML workflows.
  
  

Soft Skills

• Excellent written and verbal communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven problem-solving skills and a passion for debugging and troubleshooting complex issues.
• Strong organizational skills with an ability to manage multiple tasks/projects simultaneously.
  
  

Nice to Have

• Domain knowledge in Supply Chain, especially in Demand Planning, CPG, or Manufacturing industries.
• Understanding of how business drivers (e.g., pricing, promotions, seasonality, weather patterns) influence demand.
• Experience working with time series forecasting or predictive modeling in operational contexts.
• Familiarity with MLFlow, DVC, or other ML experiment tracking and versioning tools.
• Exposure to ML model monitoring, or model explainability frameworks.
  
  

#Intermediate #Full-time

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.

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.