Data Engineer and AI

We are looking for a talented and motivated Data Engineer to join our multidisciplinary team and help build innovative products centered around Data and Artificial Intelligence (AI). In this role, you will be part of a dynamic group that includes architects, engineers, designers, UI experts, QA professionals, support staff, and product managers. Together, we aim to deliver world-class services for managing semi-structured and unstructured data across various scales. The product you will work on focuses on AI lifecycle management and aims to revolutionize the way value is extracted from data and AI capabilities

As a Data Engineer, you will take part in designing, building, and implementing our data and AI solutions. You will collaborate with experienced engineers and have the opportunity to learn advanced technologies and best practices in Data and AI development

If you are passionate about data, technology, and innovation, and want to grow your skills in a cutting-edge environment, this opportunity is for you

Responsibilities

Translate product ideas into production-grade solutions: design, build, document

Develop data/AI services and robust microservices for hybrid environments

Build tools for audit, observability, and compliance analytics

Collaborate across teams and share best practices

Continuously learn and apply new data/AI technologies

Requirements

BSc in Computer Science or equivalent

At least 1-3 years hands-on experience in hybrid Data & AI (on-prem + cloud)

Python; Linux; Docker; familiarity with Kubernetes is a plus

Experience with Kafka, NoSQL (ELK preferred), Airflow, and object storage

Metadata/taxonomy management experience - advantage

Public cloud Data/AI services and familiarity with ML concepts - advantage

Strong communication, fast learner, team player, and positive attitude

*Only relevant applications will be answered

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