Job overview:
verato is seeking a senior machine learning engineer to collaborate in the design and development of our software as a service offering. This role will work effectively within an agile framework to deliver new capabilities, own the end-to-end implementation of ai/ml infrastructure and mlops framework for ml model telemetry and ml experiments tracking, integrate python-based recommendation engines with backend apis and databases, and participate in all phases of the software development life cycle.
key responsibilities:
* collaborate with cross-functional teams to design and develop our software as a service offering.
* work effectively within an agile framework to deliver new capabilities.
* own the end-to-end implementation of ai/ml infrastructure and mlops framework for ml model telemetry and ml experiments tracking.
* integrate python-based recommendation engines with backend apis and databases.
* participate in all phases of the software development life cycle.
requirements:
technical skills:
* strong understanding of different ai/ml frameworks and libraries, including xgboost, scikit-learn, pandas, numpy, keras, huggingface, etc.
* experience managing cloud infrastructure in aws or gcp with templating software like cloudformation or terraform.
* able to understand and work using ci/cd technologies such as jenkins, git, sonarqube.
personal qualities:
* ability to collaborate with cross-functional teams.
* excellent problem-solving skills.
* strong communication and interpersonal skills.
* adaptability and flexibility in a fast-paced environment.