
AI and Machine Learning Solutions Architect
1 day ago
We are seeking an experienced AI and Machine Learning Platform Engineer to join our team.
Key Responsibilities:
- Design, develop and maintain large-scale AI and ML infrastructure using Python, R, React, NodeJS and Jupyter notebooks.
- Work with various REST APIs, Docker and Kubernetes to ensure seamless integration and deployment of AI and ML models.
- Collaborate with cross-functional teams to design and implement observability tools such as Prometheus, Grafana, Alert Manager, Splunk and ELK stack.
- Develop infrastructure automation scripts using hands-on experience with Unix/Linux Operating System internals.
- Stay up-to-date with the latest developments in Gen AI, Agentic AI and Machine Learning technologies.
Requirements:
- 6+ years of total experience in IT field with a Bachelor's degree in Computer Science or relevant working experience.
- Strong understanding of Gen AI, Agentic AI and Machine Learning technologies.
- Excellent troubleshooting skills with an appetite to learn new things.
- Familiarity with TCP/IP and basic knowledge of writing SQL queries.
- Fluency in English.
Preferred Skills:
- Certification in Dataiku Platform & Kubernetes (CKA, CKS).
- Certification in one of the following Cloud Providers: AWS, GCP, Azure.
- Experience with CI/CD tooling such as Jenkins, GIT, Artifactory, Spinnaker.
- Software development skills in Python, Java, Go, Node.js, React.
- Familiarity with data service solutions like Elastic, Kafka, Redis, Nifi etc.
- Familiarity with Dataiku and ML-Ops.
Soft Skills:
- Excellent written and oral communication skills on both technical and non-technical topics.
- Ability to document requirements and specifications.
- Self-starter able to work in a team or individually to complete complex technical tasks.
- Able to explore new concepts, ideas and technologies and formulate understanding and apply to work tasks.
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