Senior Manager, Machine Learning (ML Ops)

We are looking for a Senior Manager-ML Ops to join our Technology team at Clarivate.

You will get the opportunity to work in a cross-cultural work environment while working on the latest web technologies with an emphasis on user-centered design.

About You (Skills & Experience Required)

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• Atleast 10 years of experience including DevOps, machine learning operations and data engineering domain
• Proven experience in managing and leading technical teams.
• Strong understanding of MLOps practices, tools, and frameworks.
• Proficiency in data pipelines, data cleaning, and feature engineering is essential for preparing data for model training.
• Knowledge of programming languages (Python, R), and version control systems (Git) is necessary for building and maintaining MLOps pipelines.
• Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow) can streamline MLOps workflows.
• DevOps principles, including CI / CD pipelines, infrastructure as code (IaC), and monitoring is helpful for automating ML workflows.
• Familiarity with cloud platforms (AWS, GCP, Azure) and their associated services (e.g., compute, storage, ML platforms) is essential for deploying and scaling ML models.
• Familiarity with container orchestration tools like Kubernetes can help manage and scale ML workloads efficiently.

It would be great if you also had,

What will you be doing in this role

Data Science Model Deployment & Monitoring

Infrastructure & Automation

Innovation & Improvement

About The Team

You would be part of our incredible data science team of Intellectual property (IP) group & work closely with product and technology teams spreads across various locations worldwide. You would be working on interesting IP data and interesting challenges to create insights and drive business acumen to add value to our world class products and services.

Hours of Work

This is a permanent position with Clarivate.9 hours per day including lunch break. you should be flexible with working hours to align with globally distributed teams and stakeholders.

At Clarivate, we are committed to providing equal employment opportunities for all qualified persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.

Skills Required

Airflow, Hadoop, Data Cleaning, Git, Gcp, Spark, Azure, Kubernetes, Python, Aws