Engineering Manager, Applied AI & Machine Learning Engineering
New
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SPD TechnologyFintech, Data Science
Ukraine. Poland. Spain. Portugal. Germany. Romania, Europe/KyivFull-TimeManager
Salary not disclosed
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Job Details
- Languages
- English — Upper Intermediate or higher; Ukrainian — fluent
- Experience
- At least three years of experience in software engineering, AI/ML, or a related field; At least three years of experience in people management, engineering management, or technical program leadership
- Required Skills
- AgilePeople ManagementStakeholder managementMLOps
Requirements
- At least three years of experience in software engineering, AI/ML, or a related field.
- At least three years of experience in people management, engineering management, or technical program leadership.
- Working knowledge of AI/ML modeling, systems, and the development lifecycle.
- Experience managing multiple technical projects with shared resources and cross-team dependencies.
- Strong skills in capacity planning, resource allocation, project execution, risk management, and stakeholder communication.
- Experience supporting the performance and career development of technical employees.
- Ability to understand technical discussions and work effectively with MLE and MLOps teams.
- Experience working with distributed or geographically dispersed teams.
- English language proficiency: Upper Intermediate or higher.
- Ukrainian language proficiency: Fluent.
Responsibilities
- Manage resource allocation and capacity planning across multiple AI/ML projects and operational commitments.
- Partner with project and technical leads to create realistic delivery plans, milestones, and staffing models.
- Maintain a clear view of project progress, dependencies, risks, and resource constraints.
- Help resolve delivery blockers, priority conflicts, and cross-team dependencies.
- Facilitate quarterly and ongoing planning across MLEs and MLOps teams.
- Provide clear delivery and staffing updates to functional managers and other stakeholders.
- Manage and coach engineers through regular one-to-one meetings and career discussions.
- Create development plans and support performance, promotion, and compensation review processes.
- Apply Agile, Lean, and Fast-Flow practices to improve team effectiveness and delivery predictability.
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