
Senior AI Infrastructure Specialist
1 day ago
The GenAI/ML Platform Engineer will be responsible for designing, developing and maintaining scalable and efficient platforms for GenAI and Machine Learning applications.
Key Responsibilities:- Designing and implementing AI and ML infrastructure solutions
- Developing and deploying large-scale data processing systems
- Collaborating with cross-functional teams to drive business outcomes through AI and ML adoption
We are looking for a highly motivated and skilled individual with hands-on experience in Python, R, React, NodeJS, Jupyter notebooks, Docker, Kubernetes, AWS and/or GC. A strong understanding of GenAI, Agentic AI and Machine Learning technologies is essential.
- Hands-on experience with various programming languages and technologies
- Strong understanding of GenAI, Agentic AI and Machine Learning concepts
- Experience with containerization, orchestration and cloud computing
While not required, certification in Dataiku Platform & Kubernetes (CKA, CKS) or one of the following Cloud Providers: AWS, GCP, Azure is highly valued.
- Certification in Dataiku Platform & Kubernetes (CKA, CKS)
- Cloud provider certifications (AWS, GCP, Azure)
The ideal candidate will possess excellent written and oral communication skills on both technical and non-technical topics, as well as ability to document requirements and specifications.
- Excellent written and oral communication skills
- Ability to document technical requirements and specifications
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