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Senior Software Engineer
2 meses atrás
Senior Software Engineer - Machine Learning Career Growth, Flexibility and Collaboration Entrust is an innovative leader in identity-centric security solutions, providing an integrated platform of scalable, AI-enabled security offerings. Headquartered in Minnesota, we offer our colleagues the ability to work globally, in a flexible and collaborative environment. Our team makes an impact
The Company: Entrust relies on curious, dedicated and innovative individuals who anticipate the future and provide solutions for a more connected, mobile and secure world. Entrust's technologies and expertise help government agencies, enterprises, and financial institutions in more than 150 countries serve and safeguard citizens, employees, and consumers.
We Believe: Securing identities is most effective when we value all identities. We are committed to ensuring that, through diversity and inclusion, the many voices that make up our communities are heard.
Position Overview: As Entrust tackles the problem of bringing identities online, this means taking on the challenges of bringing both Biometrics and ID Documents into the virtual world. The work you could come help us solve will involve:
Developing state-of-the-art machine learning-backed services for automated biometric verification, document classification and extraction, as well as fraud analysis.Building automated pipelines capable of minimizing the time and effort of bringing support to new models and capabilities.Iterating over research projects to optimize them and deploy them to production.Continuously improving monitoring and tracing to provide a highly available service for our customers.We deeply value trust and ownership. Our engineers, product managers, and designers work together closely to solve a challenging problem - identity in an online world - and build products that are polished and impactful.
What you will do:Work in a cross-functional team to design, build, test and ship fraud-catching products.Work closely with researchers to take research developed ML models to production.Use off-the-shelf machine learning solutions to provide simple initial solutions for fraud detection.Design and implement efficient pre-processing steps around digital images or video files.Extend existing ML pipelines to fit an increasing array of use cases.Analyze algorithmic performances and identify common issues and potential improvements.Provide technical guidance, support, and advice to other engineers at Entrust.Basic Qualifications:Good knowledge and experience with Python.Familiarity with scientific libraries and frameworks such as Numpy, Tensorflow, Keras, Scikit Learn, OpenCV, ONNX.Interested in developing, deploying, and monitoring production-facing machine learning systems.Enthusiastic and technically curious about ML technologies.Capable with testing frameworks, such as PyTest.Experience with dependency management tools (e.g. Poetry).Preferred Qualifications:Knowledge of Docker and Kubernetes.Familiarity with various different image and video file formats.Understanding of Computer Vision and standard Machine Learning algorithms (like decision trees, neural networks, support vector machines, clustering, etc.).Tech Stack: We are technology agnostic at Entrust. We are not looking for you to have experience in all these technologies. As long as you're open to learning, please apply.
Backend: mostly Python and Ruby at Entrust.Frontend: React and Typescript.ML: Tensorflow, Jupyter, Dask.Kubernetes and Docker for deployment.AWS for underlying infrastructure (Aurora, Redis, Dynamo, S3, SNS, SQS, CloudFront, API Gateway, etc.).Gitlab for software lifecycle management.About Entrust: Entrust keeps the world moving safely by enabling trusted identities, payments, and data protection around the globe. With our unmatched breadth of digital security and credential issuance solutions, it's no wonder the world's most entrusted organizations trust us.
Entrust Corporation is an EOE/AA/Veteran/People with Disabilities employer.
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