Description

Seeking an AI/ML Engineer specializing in Bedrock and agentic solutions to design, implement, and optimize advanced AI architectures. The ideal candidate will possess a strong technical background, hands-on expertise with AI/ML tools and frameworks, and a proven ability to deliver high-performing, reliable AI systems.

 

 

Key Responsibilities:

 

              • Design and Implementation: Develop scalable AI agent architectures tailored to business requirements.

              • Bedrock Model Expertise: Fine-tune and implement Bedrock models for various use cases.

              • Optimization: Enhance model performance while balancing computational cost efficiency.

              • System Reliability: Ensure the dependability, robustness, and accuracy of deployed AI systems.

              • Innovation: Stay abreast of advancements in AI/ML technologies to continuously refine solutions.

 

 

Required Technical Skills:

 

              • Large Language Models (LLMs):

                             ○ Proficiency in LLM-based systems and prompt engineering.

                             ○ Experience in fine-tuning and deploying foundational models.

              • Python and ML Frameworks:

                             ○ Hands-on expertise with PyTorch, TensorFlow, and related libraries.

              • Vector Databases and Embeddings:

                             ○ Familiarity with working on vector databases to optimize AI workflows.

              • Cloud and APIs:

                             ○ Experience with cloud-based AI solutions, particularly AWS Bedrock, and API integrations.

 

 

Educational Qualifications:

 

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field

Education

Bachelor's or Master's degrees