Mastering Data Science and AI Architect
3 days ago
We are a team of experts at hubQuest, bringing together the best talents in IT and analytics to provide innovative solutions. Our mission is to help our partners become real data-driven entities through our flagship service, which includes forming tech teams from scratch and expanding existing units.
About the RoleWe are seeking a highly skilled Lead Machine Learning Engineer to support our partner in developing a Global Analytics unit - a centralized team dedicated to strengthening data-driven decision-making and creating smart data products for day-to-day operations.
The Global Analytics team is an innovative collective of professionals with a presence across three continents and five countries. We foster collaboration, drive innovation, and ensure reliability, transforming the entire organization into a leader in data-driven decision-making.
Our team has developed 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 on a global level, we need an experienced Lead ML Engineer to take ownership of the platform, ensuring technical excellence and effective implementation of AI-driven solutions.
ResponsibilitiesThe successful candidate will be responsible for:
- Owning the technical design and daily operations of the platform in collaboration with the Lead Data Scientist.
- Optimizing and maintaining ML solutions in a cloud-hosted environment (Azure).
- Working with the Product Owner, Lead Data Scientist, and technical team to translate product requirements into technical tasks.
- Acting as a technical leader, shaping the ML and MLOps strategy while coordinating the development team in alignment with sprint goals.
- Assisting the Product Owner with sprint planning and prioritization.
- Overseeing the creation of technical documentation.
- Reviewing pull requests to ensure technical excellence.
- Ensuring sprint tasks follow best practices (clear descriptions, acceptance criteria, etc.).
- Understanding business problems and designing smart data products in cooperation with Data Scientists.
- Developing and enhancing MLOps frameworks for Data Science projects, ensuring seamless integration and best practices.
- Architecting and implementing scalable Azure-based cloud infrastructure for AI-driven applications.
- Designing and maintaining automated Azure cloud pipelines to run, monitor, and retrain data science models for business applications.
- Supporting Data Engineers in streamlining data ingestion and processing workflows.
- Building and maintaining robust deployment workflows for ML models, ensuring seamless collaboration with Data Scientists and Data Engineers.
- Managing the full life cycle of ML applications, including deployment, versioning, change management, monitoring, and troubleshooting.
- Establishing and refining frameworks to measure, monitor, and optimize the quality of deployed ML solutions.
To be successful in this role, you will need:
- Mastery of machine learning algorithms and concepts.
- Strong Python software engineering skills, with expertise in its ML stack.
- Experience with MLOps frameworks, including CI/CD and continuous monitoring.
- Proficiency in Agile methodologies.
- Knowledge of Azure cloud services and infrastructure.
- Ability to effectively communicate with business stakeholders to design impactful data products.
At hubQuest, we offer:
- A high-impact project involving Business Intelligence and IoT initiatives.
- The opportunity to work in a global and diverse team with international reach.
- A flexible work environment with a fully remote work option.
- A casual atmosphere with no corporate bureaucracy.
- A modern office in the center of Warsaw with excellent transport links.
- Benefits such as Multisport and private medical care.
- Vast opportunities for self-development, including online courses, knowledge exchange, and certification support.
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