IFS
Join IFS as an ML Engineer to build and deploy AI-driven solutions that empower global enterprises. You’ll design scalable AI/ML infrastructure, execute pipelines, and serve models at scale while collaborating with data scientists, engineers, and architects. Be part of a mission to change the status quo and make a real impact worldwide.
About the Role
As an ML Engineer at IFS, you’ll combine software engineering, ML, and DevOps expertise to build and deploy AI-driven solutions. You’ll work on designing high-performance, scalable AI/ML infrastructure, building and executing ML pipelines efficiently, serving models at scale, and creating tools for continuous monitoring and improvement.
What You Will Do
Design and maintain high-performance, scalable AI/ML infrastructure.
Build and execute ML pipelines efficiently.
Deploy and serve models at scale.
Create tools for continuous monitoring and improvement of AI models.
Collaborate with data scientists, data engineers, architects, and DevOps engineers.
Translate innovative AI opportunities into deployable and sustainable products.
Expand your knowledge in AI infrastructure, model monitoring, drift detection, and domain knowledge.
Share your knowledge to guide and mentor others.
What We Are Looking For
Strong foundation in software engineering and ML algorithms.
Mastery of AI/ML serving frameworks.
Knowledge of systems and applications.
Experience with machine learning and artificial intelligence.
Ability to work in a collaborative, cross-functional environment.
Interest in AI infrastructure, model monitoring, and drift detection.
Understanding of functional and business process domain knowledge.
Willingness to continuously learn and share knowledge.
Join Team Purple. Join IFS. Make your moment — and help others make theirs.