Senior Manager - Machine Learning ML Ops

Job Description

As a Senior Manager-ML Ops at Clarivate, you will have the opportunity to work in a cross-cultural environment, utilizing the latest web technologies with a focus on user-centered design. Your role will involve managing technical teams, overseeing machine learning model deployment, and ensuring the scalability and security of infrastructure for model training and deployment. ### Role Overview:You will be responsible for deploying machine learning models into production environments, monitoring their performance, and implementing CI/CD pipelines for model updates and rollbacks. Collaborating with cross-functional teams, you will translate business requirements into technical solutions, provide technical guidance to team members, and communicate project status to stakeholders. Additionally, you will design scalable infrastructure, automate tasks for efficiency, and stay updated on the latest MLOps trends.### Key Responsibilities:- Manage and lead technical teams- Oversee machine learning model deployment and monitoring- Implement CI/CD pipelines for model updates and rollbacks- Design scalable infrastructure for model training and deployment- Automate repetitive tasks to improve efficiency- Stay updated on the latest trends and technologies in MLOps### Qualifications Required:- Bachelors or masters degree in computer science, Engineering, or a related field- At least 10 years of experience in DevOps, machine learning operations, and data engineering- Strong understanding of MLOps practices, tools, and frameworks- Proficiency in data pipelines, data cleaning, and feature engineering- Knowledge of programming languages (Python, R) and version control systems (Git)- Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow)- Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration tools like KubernetesAbout The Team:You will be part of the data science team of the Intellectual Property (IP) group at Clarivate, collaborating closely with product and technology teams worldwide. You will work on challenging IP data and contribute to creating insights that drive business value for our products and services.### Hours of Work:This is a permanent position with Clarivate, requiring 9 hours per day including a lunch break. You should be flexible with working hours to align with globally distributed teams and stakeholders.Clarivate is committed to providing equal employment opportunities and complies with applicable laws and regulations governing non-discrimination in all locations. As a Senior Manager-ML Ops at Clarivate, you will have the opportunity to work in a cross-cultural environment, utilizing the latest web technologies with a focus on user-centered design. Your role will involve managing technical teams, overseeing machine learning model deployment, and ensuring the scalability and security of infrastructure for model training and deployment. ### Role Overview:You will be responsible for deploying machine learning models into production environments, monitoring their performance, and implementing CI/CD pipelines for model updates and rollbacks. Collaborating with cross-functional teams, you will translate business requirements into technical solutions, provide technical guidance to team members, and communicate project status to stakeholders. Additionally, you will design scalable infrastructure, automate tasks for efficiency, and stay updated on the latest MLOps trends.### Key Responsibilities:- Manage and lead technical teams- Oversee machine learning model deployment and monitoring- Implement CI/CD pipelines for model updates and rollbacks- Design scalable infrastructure for model training and deployment- Automate repetitive tasks to improve efficiency- Stay updated on the latest trends and technologies in MLOps### Qualifications Required:- Bachelors or masters degree in computer science, Engineering, or a related field- At least 10 years of experience in DevOps, machine learning operations, and data engineering- Strong understanding of MLOps practices, tools, and frameworks- Proficiency in data pipelines, data cleaning, and feature engineering- Knowledge of programming languages (Python, R) and version control systems (Git)- Experience with MLOps-specific tools and platforms (e.g., Kubeflow, MLflow, Airflow)- Familiarity with cloud platforms (AWS, GCP, Azure) and container orchestration tools like KubernetesAbout The Team:You will be part of the data science team of the Intellectual Property (IP) group at Clarivate, collaborating closely with product and technology teams worldwide. You will work on challenging IP data and contribute to creating insights that drive business value for our products and services.### Hours of Work:This is a permanent position with Clarivate, requiring 9 hours per day including a lunch break. You should be flexible with working hours to align with globally distributed teams a

Keyskills :
DevOpsData EngineeringData CleaningAirflowMonitoringGCPAzureSparkData GovernanceMachine Learning OperationsManaging Technical TeamsMLOps PracticesData PipelinesFeature EngineeringProgramming Languages PythonVersion Control Systems GitMLO