AWS AI ML Engineer
3 weeks ago
If you're looking for a position with a company that values innovation in all that we do, value-orientation in all choices and decisions, and has an employee-centric company focus, you've come to the right place. Simple Technology Solutions' motivated team members deliver remarkable solutions to our Federal Government clients every day. We are lifelong learners, value outcomes over busy-ness and cultivate collaboration over individual contributions.
Our in-depth experience helping government agencies in their installation, configuration, and optimization of leading Agile Software Development, DevOps, and Cloud Migration tools has led to rapid growth and an increased demand for our services. This growing team has an exciting startup feel, but we are not new to the game. As experienced government contractors, we are mentors, coaches, and thought leaders, who pride ourselves in sharing our knowledge and expertise with those growing within our organization.
A Little More About STS
You don't get named a "Best Place to Work" by the Washington Business Journal, receive the Washington Technology magazine's FAST50 status, and achieve Inc Magazine's "Inc 500" status just by 'talking the talk'. Our vision of excellence is aligned to our 'Techquity' (Tech-Equity) focus and drive. We understand that disparities and gaps in opportunities and earning potential exist for marginalized groups, such as people of color and women, in the IT industry. By leveraging the power, passion, and talent from this group we are able to deliver innovative GovCon IT solutions that exceed our customer's expectations.
Our team members are not just 'employees'; they're parents, friends, volunteers, artists, students, athletes, and all of the other things that make them whole people. The flexibility that STS offers allows them to balance their personal lives while providing the top-notch services our customers have come to depend on.
Additionally, the team benefits from our partnerships with AWS, Google, Microsoft and CloudBees – with access to improved knowledge and the opportunity to become a SME with one or more of our above partners. At Simple Technology Solutions, we don't see Team Member benefits as 'perks'. Taking care of the people who take care of us is the standard. Click our benefits infographic to learn more about our industry-leading options that attract and retain top talent. But don't just take our word for it, see what our current team members say about us on Glassdoor.
Simple Technology Solutions is a 8(a) HUBZone Company and we offer an annual $5,000 HUBZone bonus to team members that live in a qualified HUBZone and provide the required supporting documentation. To see if you could qualify for an annual HUBZone bonus, check out the HUBZone map HERE.
Simple Technology Solutions is looking for an AWS AI/ML Engineer to add to our team.
Quick Position Overview:
- US Citizenship is required
- Master's Degree is required
- Minimum of 10 years position related experience is required
- Minimum of 5 years of experience as an AWS Engineer operating within a Linux environment
The Role:
We are looking for an AWS AI/ML Engineer with a strong focus on AWS AI/ML and containerization technologies for development, modernization, and migration in support of a government multi-cloud environment with 30+ customer tenants and growing. Aside from technical qualifications, application should have effective communication skills, both written and verbal.
The applicant must have extensive cloud knowledge and experience with integration, system analysis or programming experience, including developing cloud systems requirements and design specification. A passion for performance, strong desire for quality conformance, excellent problem-solving skills and attention to detail are prerequisites for this position.
The AWS AI/ML Engineer at STS will:
- Develop and deploy AI/ML models using AWS AI/ML services (e.g., SageMaker, Rekognition, Comprehend) and collaborate with data scientists and engineers to implement machine learning solutions.
- Install, configure, and maintain Linux servers while ensuring system performance, security, and stability.
- Design, implement, and manage containerized applications using AWS Cloud Containerization services (e.g., ECS, EKS) and Docker, developing CI/CD pipelines for automated deployment and scaling.
- Work closely with cross-functional teams to understand project requirements and deliver robust solutions, documenting system configurations, procedures, and best practices.
Education and Experience:
Required
- Master's degree in Computer Science, Business Administration Science, Mathematics, or Engineering
- US Citizenship
- Minimum 10+ years of experience directly related work in area of expertise
- 5+ years of experience as an AWS Engineer operating within a Linux environment managing and optimizing Linux systems for AWS
- Expertise implementing AWS AI/ML solutions and utilizing containerization platforms such as AWS Cloud Containerization services, Docker, and others.
- Expertise in AWS AI services and machine learning model deployment.
- Strong proficiency in containerization technologies, including AWS Cloud Containerization services and Docker.
- Experience with CI/CD tools and practices.
- Solid understanding of networking, security, and system architecture.
- Must be able to work the hours of 8am-5pm Eastern Time regardless of your home location
Required Certifications
- None
Preferred Skills and Certifications
- AWS Certified Solutions Architect or AWS Certified Machine Learning
- Familiarity with Kubernetes and other container orchestration platforms.
- Experience with infrastructure as code tools (e.g., Terraform, CloudFormation).
- Knowledge of scripting languages (e.g., Python, Bash).
STS is committed to equal employment opportunity. STS provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination, harassment, and retaliation of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, marital status, family responsibilities, matriculation, personal appearance, political affiliation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.---Applicants may request removal from our applicant database, or specific information about how the data is used by contacting recruiting@simpletechnology.io.
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