
Senior Data Scientist and Infrastructure Architect
3 days ago
We are seeking a skilled GenAI/ML Platform Engineer to spearhead the development and maintenance of our company's technological infrastructure.
The ideal candidate will possess in-depth knowledge of computer science, software engineering, and data processing technologies including Python, R, React, NodeJS, Jupyter notebooks, Docker, Kubernetes, AWS, and GC.
A strong understanding of GenAI, Agentic AI, and Machine Learning principles is essential, as well as hands-on experience with infrastructure automation, observability tools, and Unix/Linux Operating system internals.
Candidates should also have a proven track record of working on GenAI/ML Platforms (Dataiku, Bedrock, etc.) and basic SQL query writing skills. Familiarity with TCP/IP and fluency in English are mandatory requirements.
Desirable qualifications include certification in Dataiku Platform & Kubernetes (CKA, CKS), certification in one of the following Cloud Providers (AWS, GCP, Azure), and experience with CI/CD tooling such as Jenkins, GIT, Artifactory, Spinnaker.
Strong soft skills include excellent written and oral communication skills, ability to document requirements and specifications, and self-motivation to work independently or collaboratively to complete complex technical tasks.
Key Responsibilities:
- Design, develop, and maintain large-scale GenAI/ML Platforms using various technologies.
- Collaborate with cross-functional teams to identify infrastructure needs and implement scalable solutions.
- Develop and enforce best practices for infrastructure automation, observability, and security.
- Stay up-to-date with industry trends and emerging technologies, and provide recommendations for integration and adoption.
- Document and communicate technical concepts and solutions to non-technical stakeholders.
What We Offer:
- A dynamic and supportive work environment that encourages growth and innovation.
- Ongoing training and professional development opportunities to enhance your skills and expertise.
- Competitive salary and benefits package.
- Opportunities for career advancement and leadership development.
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