Position Details
About this role
This role involves designing and deploying AI and machine learning solutions, with a focus on generative AI, in cloud environments. The engineer will build scalable demos, POCs, and influence product AI strategies.
Key Responsibilities
- Build and deploy ML solutions
- Collaborate with product teams
- Develop demos and POCs
- Influence AI roadmap
- Publish technical content
Technical Overview
Technical scope includes cloud-based ML platforms like SageMaker and Databricks, Python scripting, MLOps pipelines, and large language models. Environment involves cloud SaaS solutions and open-source ML frameworks.
Ideal Candidate
The ideal candidate is a senior AI/ML engineer with over 5 years of experience deploying machine learning and generative AI solutions in cloud environments. They possess strong scripting skills in Python and hands-on experience with ML platforms like SageMaker and Databricks, along with expertise in MLOps and large language models.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 5 years of relevant experience, Lack of hands-on Python scripting skills, No experience with ML platforms like SageMaker or Databricks
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