
AI-Driven Analytics Expert
7 hours ago
hubQuest is a team of experts combining IT and analytics to deliver innovative solutions. Our flagship service involves forming tech teams from scratch and expanding existing units, tailored to help partners become data-driven entities.
We are currently seeking a Lead ML Engineer to support our partner in developing a Global Analytics unit - a centralized team dedicated to enhancing data-driven decision-making and creating smart data products for daily operations.
About the TeamThe Global Analytics team is an innovative collective of professionals, including Data Scientists, Data Engineers, ML Engineers, MLOps Engineers, Business Intelligence Specialists, Software Developers, UX Designers, and more. With a presence across three continents and five countries, the team fosters collaboration, drives innovation, and ensures reliability, transforming the entire organization into a leader in data-driven decision-making.
About the PlatformOne of the many solutions developed by the Global Analytics team is an AI-driven analytics platform—a multi-module, cutting-edge product suite that empowers sales teams with real-time insights, such as:
- Consumer behavior change alerts to inform key actions,
- Route optimization for efficiency,
- Product recommendation engines to enhance customer experience,
- And many more advanced AI-driven solutions.
As we scale our analytics capabilities globally, we are looking for an experienced Lead ML Engineer to take ownership of the platform, ensuring technical excellence and effective implementation of AI-driven solutions.
About YouYou will work on high-impact projects involving Business Intelligence and IoT initiatives, collaborating with international colleagues in a flexible work environment. The role offers vast opportunities for self-development, including online courses, knowledge exchange, and certification support.
This position requires expertise in machine learning, Python, MLOps, and Azure tools like Agile and Scrum. As a Lead ML Engineer, you will oversee the creation of technical documentation, review pull requests, ensure sprint tasks follow best practices, and assist the Product Owner with sprint planning and prioritization.
In addition, you will design and maintain automated Azure cloud pipelines to run, monitor, and retrain data science models for business applications. You will also manage the full life cycle of ML applications, including deployment, versioning, change management, monitoring, and troubleshooting.
We offer benefits such as a sport subscription, private healthcare, training budget, small teams, international projects, free coffee, bike parking, free beverages, in-house trainings, in-house hack days, and a modern office with no dress code.
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