
Chief AI Infrastructure Specialist
2 days ago
Job Title: AI Platform Engineer
Years of Experience: 6+ years.
Location: Hybrid (Remote/Hybrid)
Notice Period: Immediate Joiner
Required Skills:
- Minimum total experience of 6+ years
- Bachelor's degree in computer science, information technology or relevant working experience in IT field
- Experience with Python, R, React, NodeJS, Jupyter notebooks
- Experience working with various APIs
- Experience with Docker and Kubernetes
- Experience in AWS and/or Google Cloud
- Understanding of GenAI, Agentic AI and Machine Learning technologies
- Hands on with infrastructure automation
- Familiar with observability tools as; Prometheus, Grafana, Alert Manager, Splunk (or ELK stack), PagerDuty
- Strong troubleshooting skills with an appetite to learn new things
- Good understanding of Unix/Linux Operating system internals
- Experience working on AI/ML Platforms
- Basic knowledge of writing SQL queries
- Familiar with TCP/IP
- 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; Python, Java, Go, Node.js, React
- Familiar with data service solutions as Elastic, Kafka, Redis, Nifi
- Familiar 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 individually to complete complex technical tasks
We are committed to creating a workplace where everyone feels valued and respected. Our policy is to provide equal employment opportunities to all individuals based on job-related qualifications and ability to perform a job, without regard to age, gender, race, color, religion, creed, national origin, disability, genetic information, veteran status, citizenship or marital status.
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