
AI Innovation Specialist
1 week ago
The ideal candidate will design, develop, and deploy Machine Learning (ML) and Generative AI (GenAI) pipelines across AWS cloud environments.
Key responsibilities include deploying and maintaining ML and GenAI models using AWS services, applying prompt engineering techniques to optimize model performance, assisting in building and maintaining internal model-serving platforms, implementing containerized services, and supporting model monitoring and health tracking.
Requirements:
- 3-5 years of experience in ML engineering.
- Strong programming skills in Python, with expertise in pandas, SQL, and ML frameworks.
- Familiarity with AWS services, including Lambda, Glue, CloudWatch, and Bedrock.
- Experience with container workflows and model lifecycle management.
- Foundational knowledge of observability practices and model deployment fundamentals.
Key Skills:
- Python programming.
- Machine learning frameworks.
- AWS services.
- Container orchestration.
- Model lifecycle management.
What We Offer:
- Opportunity to work on cutting-edge AI projects.
- Collaborative team environment.
- Continuous learning and growth opportunities.
- Competitive compensation and benefits package.
How to Apply:
- Submit your resume and cover letter.
- Participate in a technical interview.
- Complete a coding challenge.
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