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MP Solutions

Self-funded software solutions provider globally

Machine Learning Team Leader

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeBudapest, HungaryNo salary listed

About the Job

Requirements

  • Proven experience directly managing or leading technical teams, including conducting one-on-ones, managing performance, and organizing daily workflows.
  • At least 3 years of applied machine learning experience across at least two of text/content classification, computer vision, similarity search/embedding models, malware, or threat detection.
  • Strong proficiency in Python and frameworks such as PyTorch or TensorFlow, alongside deep experience with model evaluation frameworks.
  • Demonstrated history of shipping models consumed by other engineering teams with clean, well-documented handoff contracts.
  • Solid grounding in statistics and rigorous experiment design.

Responsibilities

  • Lead, mentor, and empower a team of machine learning engineers to own model quality end-to-end, from initial experimentation to a production-ready, handoff-ready artifact, for the AI/ML detection portfolio.
  • Conduct regular one-on-ones to foster career development, provide continuous constructive feedback, remove blockers, and ensure the team's overall well-being.
  • Drive the team's execution rhythms by leading task prioritization, sprint planning, and resource allocation to ensure predictable, high-quality delivery.
  • Represent the team's achievements and roadmap to stakeholders as the primary technical liaison, aligning efforts with Data Science, Development, and Product Management teams.
  • Lead model experimentation strategies and prioritize architectural improvements based on measurable detection accuracy gains and business impact.
  • Guide the design, training, fine-tuning, and evaluation of machine learning models across malware similarity search, URL reputation, phishing/brand-spoofing image analysis, and web threat classification.
  • Define model quality metrics, evaluation datasets, and acceptance criteria; establish model release contracts for versioned, runtime-portable artifacts such as ONNX, with performance benchmarks for the Java-based Aether backend.
  • Ensure all deployed models meet operational constraints across cloud, offline, air-gapped, and embedded deployment tiers.

Desired Qualifications

  • Security machine learning domain experience, such as malware family classification, phishing detection, or URL reputation.
  • Experience with model compression or quantization for offline and embedded environments.

About the Company

MP Solutions

Self-funded software solutions provider globally

MP Solutions is a small, self-funded team focused on delivering practical solutions to a global audience. They emphasize hands-on involvement by owners, who work closely with the team and live in the same environment to stay aligned with customers’ needs. The company’s offerings center on providing suited solutions to millions of happy users around the world. Their approach is to work directly with clients to understand problems and deliver concrete results rather than abstract plans. MP Solutions differentiates itself through owner-led, hands-on management and a tightly knit, self-funded structure that keeps the team closely aligned with customer success. The goal is to keep delivering high-quality solutions that meet real user needs and expand their global impact.

Company size
11-50
Company stage
Not listed
Total funding
Not listed
Headquarters
Hanoi, Vietnam
Founded
2018

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