Senior Machine Learning Engineer, Global Services Security Engineering
4 weeks ago
Amazon Web Services is seeking a highly skilled Senior Machine Learning Engineer to join the Security Innovation team in Global Services Security (GSS). As a key member of our team, you will be responsible for designing, building, and deploying end-to-end machine learning solutions to meet the needs of our customers.
Key Responsibilities:
- Work closely with product, engineering, and science teams to design and deploy machine learning solutions
- Optimize and scale machine learning models for production environments
- Implement data pipelines and infrastructure for model training and serving
- Collaborate with data scientists and software engineers to integrate ML solutions into applications
- Monitor and maintain deployed ML models and solutions
About the Team
Our team is passionate about developing innovative AI/ML solutions to enhance security and customer experience. We value diversity, inclusion, and collaboration, and we are committed to creating a workplace that is welcoming and supportive of all employees.
What We Offer
As a Senior Machine Learning Engineer at Amazon, you will have the opportunity to work on cutting-edge projects, collaborate with a talented team of engineers and scientists, and develop your skills in machine learning, cloud computing, and security.
We offer a competitive salary, comprehensive benefits, and a range of perks, including flexible work arrangements, professional development opportunities, and a dynamic and inclusive work environment.
Requirements
To be successful in this role, you will need:
- 6+ years of professional software development experience
- 6+ years of experience with at least one software programming language
- 6+ years of experience leading design or architecture of new and existing systems
- Experience as a mentor, tech lead, or leading an engineering team
- 5+ years of experience developing and deploying large-scale machine learning models and/or applications in production
Preferred Qualifications
We also welcome candidates with:
- Bachelor's degree in computer science or equivalent
- 5+ years of full software development life cycle experience
- Hands-on experience building models with deep learning frameworks like MXNet, Tensorflow, Keras, Caffe, PyTorch, or similar
- Experience with serverless, event-driven architectures in AWS, including system design, development, and production operations
Why Amazon
Amazon is committed to a diverse and inclusive workplace. We are an equal opportunity employer and do not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/disability-accommodations
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