MLOps Engineer

Creating a robust machine learning infrastructure for production use is a significant hurdle for many of our large-scale clients transitioning towards AI-centric operations. This role presents a unique opportunity for a seasoned MLOps engineer or server-side developer to deepen their expertise in this emerging field and spearhead the formation of our inaugural MLOps team, sharing their knowledge across our organization. In the role of MLOps Engineer, you'll be at the forefront of deploying cutting-edge AI solutions for Faktion’s enterprise clients. Consider a scenario where Faktion’s data scientists have developed a groundbreaking system that can automatically interpret and process thousands of images for a major manufacturing plant. It functions flawlessly in a test environment, but the real challenge lies in its deployment to a production setting. How will this system be scaled to handle millions of images? What’s the best approach for users to interact with this system? What tools or platforms should be utilized for ongoing monitoring? As an MLOps Engineer at Faktion, you will navigate these questions and architect the necessary solutions

• Proven track record of developing and deploying scalable machine learning models.

• Strong communication and teamwork abilities.
  

• Experience in one of our focus domains: GenAI, Data Quality, Retail, Manufacturing, Finance

• Strong understanding of software testing, benchmarking, and continuous integration

• Exposure to machine learning methodology and best practices

• Exposure to deep learning approaches and modeling frameworks (PyTorch, Tensorflow, Keras, etc.)