Senior AI Cloud Engineer
Ampcus
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:
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 in AWS AI or Machine Learning
Vacancy posted 5 days ago
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