

Intermediate AI Cloud Engineer
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for an Intermediate AI Cloud Engineer on a contract basis, located within 50 miles of Washington DC. Requires U.S. citizenship, 5+ years in AI/ML and cloud development, proficiency in AWS services, and experience with DevSecOps practices.
๐ - Country
United States
๐ฑ - Currency
$ USD
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๐ฐ - Day rate
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๐๏ธ - Date discovered
August 5, 2025
๐ - Project duration
Unknown
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๐๏ธ - Location type
Unknown
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๐ - Contract type
W2 Contractor
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๐ - Security clearance
Unknown
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๐ - Location detailed
Washington DC-Baltimore Area
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๐ง - Skills detailed
#GitLab #SageMaker #Security #Transformers #Deep Learning #Java #Terraform #Deployment #Kubernetes #DevOps #Docker #Programming #S3 (Amazon Simple Storage Service) #Computer Science #Redshift #Model Deployment #Consulting #AWS (Amazon Web Services) #Cloud #Data Lake #Data Engineering #DevSecOps #Data Governance #Libraries #Data Pipeline #"ETL (Extract #Transform #Load)" #ML (Machine Learning) #Scala #Generative Models #Automation #Storage #Python #AI (Artificial Intelligence) #Compliance #PyTorch #DynamoDB
Role description
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Job Title: Intermediate AI Cloud Engineer
Location: within 50 miles of Washington DC
Employment Type: contract
Industry: Artificial Intelligence | Cloud Computing | Data Engineering
As a requirement of this position, all candidates must be a U.S. Citizen. In accordance with 8 U.S.C. 1324b(a)(2)(C)
NO C2C
We are seeking a motivated and technically skilled Intermediate AI Cloud Engineer to support the development and deployment of AI and machine learning solutions in a secure cloud environment. This role will work across data engineering, generative AI, and DevSecOps practices to build scalable, cloud-based AI services using AWS technologies. Ideal candidates will have a solid foundation in programming, cloud infrastructure, and AI/ML frameworks, with hands-on experience in deploying AI models and maintaining secure, compliant data systems.
Key Responsibilities:
AI & Generative Model Development:
โข Develop and implement AI/ML solutions using generative models such as GPT, Llama, Claude, and HuggingFace libraries.
โข Use deep learning frameworks like PyTorch and Transformers to train, evaluate, and optimize models.
โข Contribute to AI innovation efforts by applying Generative AI techniques to real-world business problems.
Cloud & Data Engineering:
โข Build and maintain scalable, secure data pipelines and storage systems using AWS data services (e.g., S3, Redshift, DynamoDB).
โข Utilize AWS AI services (Amazon Bedrock, SageMaker, Rekognition, Comprehend, Transcribe) to accelerate model deployment.
โข Collaborate with DevOps and data teams to manage infrastructure for AI workloads, including data lakes and cloud analytics platforms.
DevSecOps & Automation:
โข Contribute to secure, repeatable deployments through CI/CD pipelines and infrastructure-as-code tools such as Terraform, Docker, and Kubernetes.
โข Follow DevSecOps best practices to ensure compliance with cloud security and governance standards, including FedRAMP and FISMA.
Team Collaboration & Support:
โข Work with cross-functional teams to interpret business needs and implement AI solutions that align with strategic goals.
โข Support training efforts and knowledge-sharing workshops to promote adoption of AI tools across internal teams.
Basic Qualifications:
โข Minimum 5 years of relevant experience in AI/ML, data engineering, or cloud development.
โข Bachelorโs or Masterโs degree in Computer Science, AI/ML, or related field (or equivalent experience).
โข Proficient in programming languages such as Python, Java, or similar.
โข Experience with cloud platforms and tools, particularly AWS AI and AWS data services.
โข Familiar with Terraform, Kubernetes, Docker, and GitLab for infrastructure and code management.
โข Strong understanding of data governance, security principles, and government compliance policies (FedRAMP, FISMA).
โข Experience implementing DevSecOps practices and working within CI/CD pipelines.
โข Strong analytical and troubleshooting skills, with the ability to work independently or as part of a collaborative team.
โข As a requirement of this position, all candidates must be a U.S. Citizen. In accordance with 8 U.S.C. 1324b(a)(2)(C), ECCO Select will not consider candidates for this position who do not meet the aforementioned conditions.
Preferred Qualifications:
โข Hands-on experience with generative AI models and large language models (LLMs).
โข Contributions to open-source AI projects or community initiatives.
โข AWS certifications in AI or Machine Learning (preferred but not required).
โข Experience working in federal or regulated environments is a plus.
This is a great opportunity for a mid-level engineer ready to take the next step in AI and cloud computingโworking on cutting-edge solutions that integrate scalable infrastructure, secure deployments, and powerful generative AI tools.
About Us
ECCO Select is certified as a Women-owned, Minority-owned, Small Business Enterprise. We are a talent acquisition and advisory consulting company, specializing in providing people, process, and technology solutions for our clientsโ needs. ECCO Select has experience in assisting our commercial and government clients successfully manage projects and programs that transform their business operations through a variety of IT solutions. Weโre the talent behind the technology. To find out more about ECCO visit www.eccoselect.com.
Our Commitment
We would love to have you join our team! ECCO Select is committed to hiring and retaining a diverse workforce. ECCO Selectโs policy is to provide equal opportunity to all people without regard to race, color, religion, national origin, ancestry, marital status, veteran status, age, disability, pregnancy, genetic information, citizenship status, sex, sexual orientation, gender identity or any other legally protected category.
Equal Employment Opportunity is The Law
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