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Role Overview

Lead complex data and machine learning projects.
Guide the development of end-to-end solutions: requirements qualification, architecture design, and production deployments.
Play a key role in developing our internal Data & AI practice.
Provide guidance on technical best practices.
Communicate with stakeholders about project progress and outcomes.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field.
4–12 years in data engineering, data architecture, machine learning engineering, or similar roles.
Strong skills in SQL/NoSQL and expertise in big data and cloud platforms such as AWS, GCP, or Azure.
Proficiency in one or more programming languages (Python, Java, Scala) or ML frameworks.

Tech Stack

AWS
Azure
Cloud
Google Cloud Platform
Java
NoSQL
Python
Scala
SQL

Benefits

Tailored support
Training & certifications
Quarterly social events
After-work socials
Team running sessions

WedR

Open Positions (1)

Engineering

Lead AI, MLOps & Data Engineer