Python AWS AI Architect
- E-Solutions Inc.
11 Hours Ago
NA
Yearly
Raleigh-NC, Richardson-TX
7-10 Years
Required Skills: TensorFlow, PyTorch, scikit-learn, Python, ML,
Job Description
In the assigned Job Role of Architecture Consultant 2, your Area Of Responsibility will be as below:
⦁ Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
⦁ Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
⦁ Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
⦁ Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
⦁ Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
⦁ Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
⦁ Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
⦁ Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository
Your 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 transfer
⦁ Participate in customer discussions to gather and analyze system requirements for performance, security and scalability.
⦁ Provide suggestions on solution architecture, contribute to tech framework development, support enterprise architecture definition, and drive design creation
⦁ Identify suitable technologies and tools available in the market, and perform a comparative analysis in line with client's business requirement, thereby identifying optimal architectural solution options
⦁ Participate in developing integration strategies based on validation of proof of concept of proposed architectural solutions
⦁ Facilitate a smooth transition by ensuring knowledge transfer and adherence to quality standards, while contributing to the build and deployment automation strategy
⦁ Collaborate with development teams to resolve complex technical issues using solution deployment and roll out methods, during build, deployment and support phases
⦁ Analyze system performance basis architectural solutions implemented and support in identifying potential risks in the system landscape
⦁ Create artifacts of architectural frameworks and technical solutions, thereby enriching team's knowledge repository
Your 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 transfer
Required 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.
• 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.
• Knowledge of data privacy and security best practices in cloud environments.
• Familiarity with containerization (Docker) and container orchestration is a plus.
