FAQs
What is the role of a DevOps/MLOps Engineer at Cromwell?
The DevOps/MLOps Engineer at Cromwell is responsible for operationalizing machine learning effectively, supporting the architectural needs of the Data Science team, and ensuring the seamless deployment, monitoring, and maintenance of machine learning models and data pipelines.
What are some key responsibilities of a DevOps/MLOps Engineer at Cromwell?
Some key responsibilities include collaborating with the Data Science team to design and implement scalable infrastructure for machine learning model deployment, deploying machine learning models to production environments, developing automation scripts and tools, implementing security best practices, monitoring and resolving issues related to ML model performance, and staying updated on new technologies and best practices in DevOps/MLOps.
What qualifications are required for the DevOps/MLOps Engineer role at Cromwell?
Qualifications include a Bachelor's degree in Computer Science, Engineering, or a related field, proven experience in DevOps/MLOps or a similar role with a focus on deploying machine learning models, proficiency in containerization technologies and orchestration tools, strong scripting and automation skills, knowledge of cloud platforms and infrastructure-as-code technologies, understanding of data science workflows and machine learning frameworks, and excellent problem-solving and communication skills.
What benefits are offered to employees in the DevOps/MLOps Engineer role at Cromwell?
Benefits include a competitive salary, company bonus, competitive annual leave allowance, group personal pension, company funded healthcare cash plan, employee development plans, wellbeing and employee support, cycle to work scheme, company sick pay, maternity and paternity pay, discount benefits platform, and discounted Cromwell products.