Senior MLOps Engineer

We are looking for Senior ML Engineer to join our technology team at Clarivate. The successful candidate will be responsible focus on supporting machine learning (ML) projects, for deploying, scaling, and maintaining ML models in production environments, working closely with data scientists, ML engineers, and software developers to architect robust infrastructure, implement automation pipelines, and ensure the reliability and scalability of our ML systems.

About You – experience, education, skills, and accomplishments  

• Bachelor /master’s degree in computer science or other related discipline with 7+ years of proven track record in systems integration and building data services.

• Experience with AWS cloud computing services such as AWS serverless (Lambda, step functions, Eventbridge, SNS, SQS) and AWS SageMaker or Bedrock

• Experience with CI/CD tools such as AWS Code Pipeline or Azure DevOps

• Proficiency in scripting languages such as Python, Bash, or PowerShell.

• Familiarity with containerization technologies such as Docker and Kubernetes.

• Experience with ML and hosting environment monitoring and logging tools such as datadog

It would be great if you also had . . .  

• Knowledge of infrastructure as code (IaC) tools such as Terraform or CDK

• Understanding of ML concepts and frameworks (e.g., TensorFlow, PyTorch) 

• Working experience for managing ML workload in production 

• Implement and/ or practicing MLOps or LLMOps concepts.

What will you be doing in this role? 

• Develop and maintain CI/CD pipelines for automated model training, testing, and deployment.

• Implement monitoring and alerting systems to track the performance and health of ML models in production.

• Automate provisioning and configuration management using tools like Terraform.

• Ensure security best practices are followed in the deployment and management of ML systems.

• Optimize infrastructure for performance, scalability, and cost efficiency.

• Troubleshoot issues related to infrastructure, deployments, and performance of ML models.

• Stay up-to-date with the latest advancements in DevOps and ML technologies, and evaluate their potential impact on our workflows.

About the Team

We are a cutting-edge Software Engineering team, part of the larger Technology organization focused on AI/ML engineering and system integration. Our mission includes developing sophisticated AI/ML pipelines, enhancing our ML engineering practices, and ensuring the delivery of scalable, secure, and innovative software solutions. 

Hours of Work

Flexible working hours to align with globally distributed teams and stakeholders. Work location is determined as per local HR policies.  

At Clarivate, we are committed to providing equal employment opportunities for all 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.