
Senior AI Engineer for Cloud Platforms
2 days ago
Technical Requirements
To be successful in this role, the ideal candidate will possess a strong foundation in machine learning and deep learning, as well as extensive experience with AWS-based AI services and data services.
About the Ideal Candidate
The ideal candidate will be a highly skilled Sr. AWS AI Engineer with 5+ years of hands-on experience in AI/ML development, advanced proficiency in Python, and expertise in AI/ML frameworks such as TensorFlow, PyTorch, or Keras.
Key Responsibilities:
- Implement and fine-tune pre-trained AI models tailored to meet specific industry needs.
- Utilize cloud-based AI services, particularly AWS Bedrock, Amazon SageMaker, Amazon Rekognition, and OpenAI, to streamline development and deployment processes.
- Leverage AWS data services, including Amazon Athena, Amazon Redshift, OpenSearch, Kendra, and AWS Glue, for efficient data processing and analysis.
- Optimize AI models for performance, accuracy, and efficiency, ensuring they meet real-world requirements.
- Apply techniques to reduce AI hallucination and enhance model reliability.
- Utilize Retrieval-Augmented Generation (RAG) techniques to improve AI response quality.
- Work with vector databases, specifically PostgreSQL with pgvector, for efficient similarity search and information retrieval in AI applications.
- Collaborate with cross-functional teams to seamlessly integrate AI capabilities into our products and services.
- Engage in prompt engineering to enhance model interaction and output quality.
- Stay updated on the latest trends and advancements in AI technologies, contributing to the adoption of new tools and techniques.
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