This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
An urgent opportunity to join an elite team at a leading global investment bank, playing a key role in designing, building, and operating Machine Learning solutions to execute data science and machine learning strategies.
Job Responsibility:
Involved in the deployment, productionisation and maintenance of Machine learning pipelines
Work closely with various stakeholders of various business units to service their requirements
Involved in building the platform and pipeline for the data scientists to develop their models
End-to-end ownership for the entire lifecycle of the models
Involved in checking the drifting of the model from blueprint to deployment
Work closely with data engineers and data scientists
Requirements:
Strong previous experience in Data (Data Engineering, Data Science or Analysis)
5+ years experience as a data engineer in an agile devops environment using an object-oriented development language (Java, Python)
Able to implement MLOps best practices including CI/CD pipelines
Demonstrated experience in deploying machine learning models in the production environment
Experience working with real time and batch machine learning models
Demonstrated proficiency using cloud technologies and integrating with ML services including GCP Vertex AI, DataRobot or AWS SageMaker in large and complex organisations and experience with SQL and Python environments
Welcome to
CrawlJobs.com
– Your Global Job Discovery Platform
At CrawlJobs.com, we simplify finding your next career opportunity by bringing job listings directly to you from all corners of the web. Using cutting-edge AI and web-crawling technologies, we gather and curate job offers from various sources across the globe, ensuring you have access to the most up-to-date job listings in one place.
We use cookies to enhance your experience, analyze traffic, and serve personalized content. By clicking “Accept”, you agree to the use of cookies.