AWS Bedrock Specialist

Job Title: AWS Bedrock Specialist

Job Description:
We are seeking a skilled and innovative AWS Bedrock Specialist to join our team. The ideal candidate will have in-depth experience with AWS Bedrock and a strong understanding of deploying and managing generative AI models in cloud environments. You will play a key role in designing, developing, and optimizing AI-driven solutions to support our business objectives.

Key Responsibilities:

• Generative AI Expertise: Design, deploy, and manage generative AI models using AWS Bedrock, ensuring optimal performance and scalability.
• Cloud Integration: Integrate AWS Bedrock solutions with existing cloud infrastructure and applications to deliver seamless AI-driven functionalities.
• Solution Design: Collaborate with stakeholders to identify business requirements and translate them into tailored AI solutions leveraging AWS Bedrock and related AWS services.
• Performance Optimization: Monitor and optimize the performance of AI models and workflows, implementing improvements as necessary.
• Security and Compliance: Ensure the secure deployment and management of AI solutions, adhering to industry standards and organizational compliance requirements.
• Collaboration: Work closely with data scientists, machine learning engineers, and DevOps teams to deliver end-to-end AI solutions.
• Training and Documentation: Provide training and create comprehensive documentation for AI models and AWS Bedrock integrations.

Qualifications:

• Proven experience in designing and deploying AI/ML solutions using AWS services, particularly AWS Bedrock.
• Strong understanding of generative AI models, including Large Language Models (LLMs).
• Proficiency in AWS tools such as SageMaker, Lambda, CloudFormation, and IAM.
• Experience with REST APIs, SDKs, and other integration methods supported by AWS Bedrock.
• Solid programming skills in Python, Java, or similar languages.
• Knowledge of MLOps best practices, including CI/CD pipelines for machine learning.
• Familiarity with data preprocessing, feature engineering, and model fine-tuning.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.

Preferred Skills:

• AWS Certified Solutions Architect or AWS Certified Machine Learning Specialist.
• Experience with other generative AI platforms or frameworks (e.g., OpenAI, Hugging Face).
• Understanding of NLP, computer vision, or other AI subfields.
• Familiarity with cost optimization strategies for AI workloads in AWS.