MLOps Engineer

About Us
Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation.
We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc.
Our team comprises 100+ professionals across Machine Learning, Data Engineering & Cloud expertise

Required Technical and Professional Expertise:
Must have minimum 2 years experience building production-quality software.
Strong working knowledge of MLOps and has experience with Kubeflow and Google Cloud Functions.
Well-acquainted with the principles of model management systems and their construction.
Good grasp of Docker fundamentals.
Understanding of object-oriented programming (OOP) concepts and has actively engaged with classes and modules.
Able to communicate answers clearlycontainerise and build out the deployment pipelines for new modules
Strong software engineering skills in complex, multi-language systems
Fluency in Python
Build and maintain tools for deployment, monitoring, and operations
Experience with REST API, SQL
Define, deploy and manage processes and tools for continuous integration (CI/CD), test-driven development, and release management for ML/DL models (Machine Learning and Deep Learning-based) and data pipelines.

Personal Skills:
Strong communication skills, both written and verbal
Ability to manage stakeholders' expectations and work in a high-pressure environment.
Demonstrate strong ownership & commitment to the cause of customer success.
Team player capable of high performance, flexibility in a dynamic working environment and the ability to lead