Computer Vision & ML Engineer, Amazon

• If you are excited to work with massive amounts of data and computer vision models to solve real world challenges, this is the position for you!
• The candidate selected must obtain and maintain a security clearance at the TS/SCI with polygraph level
• Upon start, the selected candidate will be sponsored for a commensurate clearance for each government agency for which they perform AWS work
• 2+ years of programming in Python, Ruby, Go, Swift, Java, .Net, C++ or similar object oriented language experience
• 2+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
• Experience implementing cloud services in a variety of distributed computing environments
• Knowledge of the primary cloud services (ec2, elb, rds, route53 & s3)

Desirable

• The Amazon Web Services (AWS) US Federal Professional Services team is looking for a passionate and talented Computer Vision engineer who will collaborate with other scientists and engineers to develop computer vision and remote sensing capabilities to address customer use-cases at enterprise scale
• By joining AWS you’ll join a community of scientists and engineers developing leading edge solutions for enterprise-scale data science applications
• In this customer facing position, you will architect and implement innovative, AWS Cloud-native ML solutions, providing direct and immediate impact for your customers
• You will take the lead in planning, designing, and running experiments, researching new algorithms, and will work closely with talented data scientists and engineers to put algorithms and models into practice to help solve our customers' most challenging problems
• You will also guide teams in the development of new solutions and aid customers in adopting AWS ML capabilities
• Engage directly with customers to understand their business problems and aid them in implementing their ML solutions
• Deliver Machine Learning projects from beginning to end. This includes understanding the business need, planning the project, aggregating & exploring data, building & validating predictive models, and deploying completed ML capabilities on the AWS Cloud to deliver business impact for the customer
• Use Deep Learning frameworks like PyTorch and Tensorflow to help our customers build computer vision models
• Work on TB scale datasets, creating scalable, robust and accurate computer vision systems in versatile application fields
• Work with other Professional Services Data Scientists and Machine Learning Engineers to help our customers operationalize ML capabilities
• Collaborate with Cloud Architects to build secure, robust, and easy-to-deploy cloud-native machine learning solutions
• Work closely with customer account teams, scientific research teams and product engineering teams to optimize model implementations and deploy cutting-edge internal algorithms for your customers
• Assist customers with Machine Learning Operations (MLOps) workflows such as model deployment, retraining, testing, and performance monitoring
• Experience applying best practices from core Software Development activities to Machine Learning (deployability, unit testing, well structured extensible software, etc.)