Job Description

As an ML Ops Engineer at Quation, you will manage the deployment and integration of machine learning models into production. You ll ensure end-to-end deployment of analytics solutions, manage large-scale data handling, and provide essential data visualizations. You will also collaborate with customer success teams to enhance usability, streamline analytical workflows, and simplify technical concepts for non-technical stakeholders.

Years of Experience

3 5 years of relevant experience in ML Ops, data deployment, and analytics project management.
Budget

Compensation : Competitive and aligned with industry standards.

Key Responsibilities

Lead and oversee timely completion of data analytics projects as part of the analytics implementation process.
Deploy analytics solutions, including applications and dashboards, accurately and within client timelines.
Assess business requirements and design analytical dashboards on cloud platforms for retail and digital brands.
Manage the full data science life cycle: data collection, preparation, modeling, evaluation,



and scaled deployment.
Handle data at scale, deploying machine learning models with visualization capabilities in production.
Collaborate with customer success and category teams to identify and address client usability challenges.
Communicate technical concepts in a simplified manner to business stakeholders.
Qualifications

Basic Qualifications

Bachelor s degree in Computer Science, Data Science, Engineering, or a related field.
Proficiency in Python and associated libraries such as NumPy and Pandas.
Solid understanding of cloud computing, especially with AWS.

Preferred Qualifications

3-5+ years of experience in managing data visualization and analytics solutions on cloud platforms.
In-depth knowledge of AWS services, including AWS Glue, Athena, and EC2.
Experience with building and deploying data visualization dashboards using AWS Quicksight, Tableau, Streamlit, or PowerBI.
Solid background in

📌 ML Ops Engineer (Bengaluru)
🏢 Quation
📍 Bengaluru