At Kinaxis, who we are is grounded in our common belief that people matter. Each one of us plays an important part in accomplishing our work, building our culture and making a global impact.

Every day, we’re empowered to work together to help our customers make fast, confident planning decisions. This is how we create a better planet – for each other, for our customers and for generations to come. Our cloud-based platform RapidResponse ensures that the products we need – everything from medicine and cars, to day-to-day items like toothpaste – make it to market and into our hands when we need them with minimal ecological footprint.

We make the world better, and you can too.

Advisory Machine Learning Engineer

Job location: Chennai, India

All aspects of the software development life cycle are familiar to you. You are passionate about shipping large-scale software systems in a fast-paced environment but are able to balance longer-term issues such as maintainability, scalability, and quality. You have a strong interest and experience in machine learning having worked with machine learning and data analysis libraries such as pandas, scikit-learn, XGBoost, and lightGBM but realize building a machine learning system is much more than just calling a few APIs.

You treat data as a first-class citizen, whether that the data comes from a data warehouse, object storage, or output of a model. You’re fluent in Python and SQL and have hands-on experience with big data technologies such as Spark and Hadoop. You love learning about new technologies, whether they be in the ML or data space, but are pragmatic and discerning about which technologies you adopt in your system.

You are a team player, a quick starter, and an implementer who is equally comfortable talking requirements with technical product managers or getting in the zone pair programming with data scientists. Your primary focus is for shipping large-scale machine learning software systems that drive customer value by building robust and scalable compute- and data-intensive workflows and web services. 

What are we looking for

  • Bachelor’s degree or equivalent in Computer Science or a related field with a focus in machine learning.
  • Strong software engineering skills and understanding of the ML lifecycle with a minimum of 2 years experience in ML production systems and 3 years in software development.
  • Proficiency in Python.
  • Ability to collaborate with diverse teams across time zones.
  • Fluent in processing data with pandas and PySpark (e.g. querying, transforming, joining, cleaning, etc.) including experience debugging logic and performance issues.
  • Strong understanding of machine learning algorithms with experience writing, debugging and optimizing ML data structures, pipelines, and transformations.
  • Ability to work in Linux environments with containerization technologies (Docker, Kubernetes, Argo, Helm) and major cloud technologies (AWS, GCP, Azure, DataBricks).

Things that would help

  • Retail and CPG business background.
  • SaaS, multi-tenant, and MLaaS development experience (microservice frameworks, queuing systems, event-based processing and web services).

What we have to offer

  • Challenging Work - We love solving highly complex problems. And as the global leaders in our industry, we never stop innovating—our work is never “done. That’s because across our teams and in all roles, every employee is empowered to bring their best ideas forward and to jump in and solve the problems they’re passionate about.
  • Great People - We take our work seriously, but we don’t take ourselves too seriously! It’s in our DNA to celebrate, laugh, and have fun. We are stronger, together, when we are open, honest, and above all, real. Every person is valued here and plays an important role in our shared success.
  • Global Impact - As a global team spanning continents, boundaries, and cultures, every day we are inspired by the impact our work has on our colleagues, our customers, our communities, and the world at large.
  • Diversity, Equity and Inclusion - Diversity, equity and inclusion are more than words to us. They are the guiding principles for building a culture where we celebrate each others’ differences, continuously strive for equality and recognize that inclusion makes us stronger as individuals, a company and a global citizen. 

For more information, visit the Kinaxis web site at or the company’s blog at

Kinaxis strongly encourages diverse candidates to apply to our welcoming community. We strive to make our website and application process accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact Human Resources at This contact information is for accessibility requests only and cannot be used to inquire about the status of applications.

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