Kunato.Ai - MLOps Engineer

4 weeks ago

Bangalore, India Kunato AI Full time

Company Overview :


Kunato.AI is a pioneering company in the field of AI Economics, dedicated to redefining the valuation of digital information. With over a decade of relentless research and a beta deployment that reached over 207 million users, we are at the forefront of quantitative information commerce. We are seeking a highly skilled and experienced ML Ops Engineer to join our team and take the lead in managing and optimizing our machine learning models.


Mission Statement :


Our mission is to discern the true value of information and transform the digital content economy. If you are a ML Ops Engineer with a passion for innovation and the expertise to efficiently manage and optimize machine learning models, Kunato.AI is the place for you.


Position Overview :


As a ML Ops Engineer at Kunato.AI, you will play a pivotal role in managing and optimizing machine learning models, ensuring their efficiency, performance, and reliability. You will be responsible for a wide range of tasks, from model evaluation and optimization to the development of MLOps frameworks.


Roles and Responsibilities :


- Perform model hyperparameter optimization to improve model performance and accuracy.


- Conduct model evaluation and explainability to ensure transparency and reliability.


- Manage model training and automated retraining processes to keep models up-to-date.


- Establish end-to-end model workflows, from onboarding and operations to decommissioning.


- Implement model version tracking and governance for better model management.


- Oversee data archival and version management to maintain data integrity.


- Monitor models and data drift to detect and respond to anomalies.


- Create and utilize benchmarks, metrics, and monitoring to measure and improve model services.


- Provide best practices and execute proofs of concept (POCs) for automated and efficient model operations at scale.


- Design and develop scalable MLOps frameworks tailored to client requirements.


- Serve as the MLOps expert for the sales team, offering technical design solutions to support RFPs and client needs.


Skillset for the Role :


- Strong proficiency in machine learning model management and optimization.


- Expertise in model version control and governance.


- Knowledge of data archival and version management best practices.


- Experience with model and data drift monitoring.


- Proficiency in benchmarking, metrics, and monitoring for model services.


- Demonstrated ability to design and develop scalable MLOps frameworks.


- Strong problem-solving skills and a proactive mindset.


Years of Experience : 4+ years of experience in ML Ops, data engineering, or related roles.


Qualification for the Role : Bachelor's or Masters degree in Computer Science, Data Science, or related fields.

(ref:hirist.tech)

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