Python AWS AI Architect

Work LocationsHartford, CT, Raleigh, NC, Richardson, TX, Tempe, AZYour contribution to the team:⦁ The ability to analyse, design, and develop scalable and secure architectures.⦁ A knack for assessing multiple technologies, tools and frameworks to recommend optimal solutions.⦁ Understanding of integration methodologies, proof-of-concept validation and deployment strategies.⦁ The ability to document architectural frameworks and solutions.⦁ Proactive communication with internal teams and clients, ensuring alignment with business objectives.⦁ A knack to keep with up technical advancements to ensure relevant and effective recommendations.⦁ The ability to maintain standards and ensure smooth transition through knowledge transferRequired Skill and Experience • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn). • Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI. • Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring. • Experience with AWS SageMaker for model development and model deployment. • Experience with developing and deploying AI Agents for business problems. • Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance. • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering. • Experience in understanding quantitative/statistical/ML/AI modeling methodologies. • Experience in ML engineering, including hands-on experience with Generative AI/LLMs. Preferred Skill and Experience • Experience in building and maintaining scalable data pipelines and APIs to support ML workflows. • Knowledge of data privacy and security best practices in cloud environments. • Familiarity with containerization (Docker) and container orchestration is a plus.