Engineering Manager – Applied AI, Machine Learning

This is a fully remote position, open to applicants in Ukraine, +5 more countries.

📋 Description

• Collaborate with a diverse team of MLE and MLOps engineers engaged in various AI/ML projects.

• Oversee resource distribution and capacity planning for multiple AI/ML initiatives and operational tasks.

• Work alongside project and technical leaders to develop realistic delivery schedules, key milestones, and staffing frameworks.

• Ensure transparency regarding project advancements, dependencies, risks, and resource limitations.

• Assist in overcoming delivery obstacles, prioritizing conflicts, and managing inter-team dependencies.

• Facilitate both quarterly and ongoing planning sessions among MLE and MLOps teams.

• Provide updates on delivery and staffing to functional managers and stakeholders.

• Support and mentor engineers through regular one-on-one meetings and career discussions.

• Collect and consolidate feedback from project leads, technical leads, and cross-functional collaborators.

• Develop growth plans and assist in performance, promotion, and compensation review processes.

• Identify team capability gaps and engage in hiring, onboarding, retention, and workforce planning efforts.

• Cultivate an inclusive, collaborative, and high-performing team culture.

• Implement Agile, Lean, and Fast-Flow methodologies to enhance team productivity and delivery predictability.

• Comprehend AI/ML tasks, communicate effectively with engineers, and pinpoint technical delivery risks; this position does not involve hands-on engineering or architecture responsibilities.

⛳️ Requirements

• Minimum of three years of experience in software engineering, AI/ML, or a related discipline.

• At least three years of experience in people management, engineering management, or technical program leadership.

• Proficient understanding of AI/ML modeling, systems, and the development lifecycle.

• Experience managing multiple technical projects with shared resources and inter-team dependencies.

• Strong abilities in capacity planning, resource management, project execution, risk assessment, and stakeholder communication.

• Proven experience in supporting the performance and career growth of technical staff.

• Capability to comprehend technical discussions and collaborate effectively with MLE and MLOps teams.

• Background working with distributed or geographically dispersed teams.

• Proficient in English at an upper-intermediate level or above.

• Fluent in Ukrainian.

• Bonus: Experience in managing or supporting MLE and MLOps teams.

• Bonus: Experience in a matrix organization with distinct roles for people, projects, products, and technical leadership.

• Bonus: Experience in planning or allocating engineers across various projects.

• Bonus: Familiarity with production ML, generative AI, semantic search, summarization, prediction, or related capabilities.

• Bonus: Knowledge of Kubernetes, Docker, Kafka, Airflow, Snowflake, and cloud platforms.

• Bonus: Experience in conducting performance evaluations and developing employee growth plans.

• Bonus: Experience collaborating with staffing partners, contractors, or integrating internal and external teams.

• Bonus: Experience in fintech, SaaS, market data, or any data-centric industry.

🏝️ Benefits

• Fully remote working arrangement.

• Flexible working hours.

• Consistent workload and reliable income.

• Provision of laptops and licensed software.

• Performance and merit-based reviews.

• Personal development plans available.

• Access to individual learning resources through a corporate library.

• Support for public speaking opportunities.

• Participation in company-wide tech and cultural events.

• Involvement in CSR initiatives.

• HR support provided.

• Referral bonus program available.