Global Data Science Leader for Cloud-Based AI Solutions

1 week ago


Remote Warsaw, Czech Republic hubQuest Full time

Job Description:

We are seeking a seasoned Lead ML Engineer to spearhead the development of our cutting-edge AI-driven analytics platform, empowering sales teams with real-time insights.

About Us:

Our team at hubQuest is a collaborative collective of experts in IT and analytics, dedicated to delivering innovative solutions through our flagship service. This involves forming tech teams from scratch and expanding existing units to help our partners become data-driven entities.

The Global Analytics Team:

As an integral part of our diverse team, you will be working alongside Data Scientists, Data Engineers, MLOps Engineers, Business Intelligence Specialists, Software Developers, UX Designers, and more. Together, we foster collaboration, drive innovation, and ensure reliability, transforming our organization into a leader in data-driven decision-making.

Your Responsibilities:

  • Technical Leadership: Oversee the technical design and daily operations of our AI-driven analytics platform in collaboration with the Lead Data Scientist.
  • Platform Optimization: Optimize and maintain ML solutions in a cloud-hosted environment (Azure).
  • Product Requirements: Work with the Product Owner, Lead Data Scientist, and technical team to translate product requirements into technical tasks.
  • Team Coordination: Act as a technical leader, shaping the ML and MLOps strategy while coordinating the development team in alignment with sprint goals.
  • Sprint Planning: Assist the Product Owner with sprint planning and prioritization.
  • Documentation: Oversee the creation of technical documentation.
  • Pull Requests: Review pull requests to ensure technical excellence.
  • Sprint Tasks: Ensure sprint tasks follow best practices (clear descriptions, acceptance criteria, etc.).
  • Business Problem-Solving: Understand business problems and design smart data products in cooperation with Data Scientists.
  • MLOps Frameworks: Develop and enhance MLOps frameworks for Data Science projects, ensuring seamless integration and best practices.
  • Cloud Infrastructure: Architect and implement scalable Azure-based cloud infrastructure for AI-driven applications.
  • Automated Pipelines: Design and maintain automated Azure cloud pipelines to run, monitor, and retrain data science models for business applications.
  • Data Ingestion: Support Data Engineers in streamlining data ingestion and processing workflows.
  • Model Deployment: Build and maintain robust deployment workflows for ML models, ensuring seamless collaboration with Data Scientists and Data Engineers.
  • ML Application Lifecycle:
  • Measurement and Monitoring: Manage the full life cycle of ML applications, including deployment, versioning, change management, monitoring, and troubleshooting.
  • Quality Metrics: Establish and refine frameworks to measure, monitor, and optimize the quality of deployed ML solutions.

Requirements:

We are looking for someone with experience in machine learning, Python, MLOps, and Azure. Additionally, proficiency in Agile and Scrum methodologies is necessary.

Benefits:

  • High-Impact Projects: High-impact projects involving Business Intelligence and IoT initiatives.
  • Global Reach: The opportunity to work in a global and diverse team with international reach.
  • Flexible Work Environment: A flexible work environment with a fully remote work option.
  • Casual Atmosphere: A casual atmosphere with no corporate bureaucracy.
  • Modern Office: A modern office in the center of Warsaw with excellent transport links.
  • Employee Benefits: Benefits such as multisport and private medical care.
  • Self-Development: Vast opportunities for self-development, including online courses, knowledge exchange, and certification support.


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