
Reinforced AI Specialist
2 days ago
Job Opportunity: Reinforced AI Specialist
Overview:
The strategic deployment of Artificial Intelligence (AI) and Machine Learning (ML) solutions is a pivotal aspect of our operations. This position requires the expertise to manage, automate, and maintain complex ML pipelines, ensuring seamless integration with AWS cloud environments.
Key Responsibilities:
- Deploy, optimize, and maintain advanced ML models using SageMaker, Fargate, and other AWS services.
- Develop innovative prompt engineering techniques to enhance model performance, efficiency, and reliability.
- Assist in designing and implementing robust containerized services using Docker for scalable deployment on AWS infrastructure.
- Collaborate in unit testing and end-to-end monitoring of ML pipelines, services, and workflows to ensure high-quality outputs.
- Design and implement effective documentation processes to ensure maintainability, reproducibility, and knowledge sharing within the team.
Required Skills:
- Strong programming skills in Python, including pandas, SQL, and popular ML frameworks (e.g., scikit-learn).
- Expertise in using Python for various ML tasks, such as building, training, and maintaining models.
- Proficiency in AWS services, including Lambda, Glue, CloudWatch, and Bedrock.
- Experience with Retrieval-Augmented Generation (RAG) applications and their optimization.
- Foundational knowledge of observability practices and model deployment fundamentals.
- Excellent communication, documentation, and teamwork skills.
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