Data Scientist

About this opportunity!

The AAI (SL IT ADM) team is currently seeking a versatile and motivated expertise in Kubernetes and Cloud Infrastructure to join the AI/ML team.

Required Skills:

Extensive experience with Kubernetes and cloud services (AWS, Azure, GCP, private cloud) with a focus on deploying and managing AI/ML environments.

Strong proficiency in scripting and automation using languages like Python, Bash, Ansible and HasiCorp Terraform

In-depth knowledge of data pipeline and workflow management tools, distributed data processing (Hadoop, Spark), and messaging systems (Kafka, RabbitMQ).

Expertise in implementing CI/CD pipelines, infrastructure as code (IaC), and configuration management tools.

Familiarity with security standards and data protection regulations relevant to AI/ML projects.

Proven ability to design and maintain reliable and scalable infrastructure tailored for AI/ML workloads.

Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications:

Certifications relevant to Kubernetes (CKA, CKAD), cloud platforms (AWS, Azure, GCP certifications), and possibly data science or AI/ML fields.

Prior experience in an AI/ML development environment, particularly in deploying models or managing large-scale data science projects.

Advanced degree in Computer Science, Engineering, Data Science, or related field with a focus on AI/ML technologies.