Senior AI Cloud Engineer

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Title: Senior AI Cloud Engineer Locations: Washington, DC Responsibilities:

• Builds next-generation AI & analytics framework developed on a group of core technologies.
• Utilize Generative AI techniques to create innovative solutions for business challenges.
• AWS AI Services: Leverage AWS AI services like Amazon Bedrock, SageMaker, Comprehend, Rekognition, Transcribe to accelerate AI development and deployment.
• Lead multi-functional teams in designing and implementing cloud-based data and AI solutions.
• Ensure data pipelines are scalable, secure, and repeatable.
• AWS Data Services: Utilize AWS data services like Amazon S3, Amazon Redshift, and Amazon DynamoDB to store, manage, and process large-scale datasets.
• Collaborate with stakeholders to understand business requirements and turn data into insights.
• Develop and maintain cloud infrastructure, including data lakes, warehouses, and analytics platforms.
• Implement data governance and security best practices.
• DevSecOps: Contribute to a DevSecOps culture by adhering to standard methodologies for secure software development and deployment.
• CI/CD: Automate AI model development, testing, and deployment using CI/CD pipelines.
• Acts as an inspiring leader, with an outstanding perspective, and promotes the adoption of new software and technology across the company.
• Works on multiple projects as a technical team member driving business requirements end to end.
• Takes end to end accountability of all data products and solutions.
• Conducts training boot camps and cross-training workshops for internal collaborators and customers.

• At least ten or more years of experience performing the functions associated with this labor category., * Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or equivalent work experience.
• Proven experience in Generative AI, data engineering, AWS AI, and AWS data services.
• Proficiency in programming languages such as Python, Java, or similar.
• Experience with data engineering concepts and tools.
• Experience in Terraform, Dockers, Kubernetes, and/or Gitlab.
• Understanding of data governance and security principles.
• Hands-on experience with DevSecOps and CI/CD practices.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.
• Familiarity with government cloud deployment regulations/compliance policies such as FedRAMP, FISMA, etc.
• Experience with specific generative AI models like GPT, Llama, Claude, and others from Hugging Face.
• Knowledge of deep learning frameworks such as PyTorch and Transformer.
• Contributions to open-source AI projects or communities.
• Certifications in AWS AI or machine learning

Certifications:

• Certifications in AWS AI or Machine Learning