Easter Seals Jobs

Description

Amazon Web Services is seeking a Machine Learning Solutions Architect to support our Intelligence Community customers in the Maryland, Northern Virginia and Washington, DC area. This position requires that the candidate selected be a U.S. Citizen and must currently possess an active Top Secret security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph and satisfy other security related requirements.

Are you excited to help the Intelligence Community (IC) to leverage massive amounts of data in developing Machine Learning (ML) and generative AI? Eager to learn from many different enterprise use cases of AWS ML and generative AI? Thrilled to be a key part of Amazon, who has been investing in Machine Learning for decades, pioneering and shaping the world’s AI technology? Come join us!

At Amazon Web Services (AWS), we are helping the federal government build and use AI on the AWS Cloud. We are applying predictive technology to large volumes of data and against a wide spectrum of problems.

ML and AI are rapidly growing in importance. We’re seeing more and more amazing AI work being done from autonomous vehicles and imagery analysis to financial trading and shipping logistics. Given the scale required for developing AI models, the cloud is an ideal place to deploy AI models, and Amazon Web Services (AWS) is the leader in the deployment of AI. We’re looking for someone passionate and deeply excited about this space. Someone who is devoted to helping IC customers understand how AI can make a big difference to their mission.

As a Machine Learning Specialist Solutions Architect (SA), you will be the Subject Matter Expert (SME) for designing machine learning and generative AI solutions that leverage AWS services to automate solutions and drive down costs for customers. As part of the Specialist Solutions Architecture team, you will work closely with the other Specialist SAs to enable large-scale customer use cases and drive the adoption of AWS for ML/AI platforms. You will interact with other SAs in the field, providing guidance on their customer engagements, and you will develop white papers, blogs, reference implementations, and presentations to enable customers and partners to fully leverage ML/AI on AWS. You will also create field enablement materials for the broader SA population, to help them understand how to integrate AWS ML solutions into customer architectures.

You must have deep technical experience working with technologies related to artificial intelligence, machine learning, deep learning, or generative AI. A strong statistics, mathematics, computer science, or technology background is preferred, in addition to experience helping customers architect enterprise grade AI/ML solutions. You will be familiar with the ecosystem of software vendors in the AI/ML space, in areas such as Natural Language Processing (NLP), classification modeling, unsupervised learning, generative AI and image recognition as well as be able to operate in Python data science environments. You must have the ability to leverage this knowledge to help AWS customers in their software selection process.

Candidates must have great communication skills and be very technical, with the ability to impress AWS customers at any level, from executive to developer. Previous experience with AWS is desired but not required, provided you have experience building large scale solutions. You will get the opportunity to work directly with senior engineers at customers, partners and AWS service teams, influencing their roadmaps and driving innovation.

If you are someone who enjoys innovating, likes solving hard problems and working on the cutting edge of technology, we would love to have you on the team.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.

About the team

About AWS

Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Basic Qualifications

• 4+ years of design, implementation, or consulting in applications and infrastructures experience

• 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

• 4+ years of IT development or implementation/consulting in the software or Internet industries experience

• Bachelor's degree, or CASP+ (CompTIA Advanced Security Practitioner) or CCSP (Certified Cloud Security Professional) or Cloud+ or CSSLP (Certified Secure Software Lifecycle Professional)

• 2+ years experience in the field of AI, Machine Learning, Deep Learning, NLP and related technologies.

• 2+ years experience developing AI models in real-world environments and integrating AI/ML and other AWS services into large-scale production applications.

• Current, active US Government Security Clearance of TS/SCI with Polygraph.

Preferred Qualifications

• Experience working within software development or Internet-related industries

• Experience migrating or transforming legacy customer solutions to the cloud

• Experience with AWS technologies

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does 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/en/disability/us.