Engineering Manager, Identification Accuracy

📋 Description

• Lead a multidisciplinary ML/AI team (ML Engineers, Data Scientists, Analysts) delivering
• Own and drive the team roadmap with engineering leadership and cross-functional partners.
• Support development, evaluation, deployment, and improvement of production ML systems.
• Guide data pipelines, feature engineering, model training, and deployment practices.
• Foster continuous improvement, experimentation, and data-driven decision making.
• Collaborate with engineering, product, and customer-facing teams to translate challenges into

🎯 Requirements

• Minimum of 2 years leading ML, data science, or engineering teams in agile environments.
• 5+ years of professional experience in software engineering, ML, data science, or related field.
• Demonstrated experience leading teams that build and operate production ML systems.
• Strong understanding of ML development workflows (data pipelines, feature engineering, model
• Proven ability to build, mentor, and develop high-performing multidisciplinary teams.
• Excellent communication with the ability to explain technical concepts to diverse audiences.

🎁 Benefits

• Fully remote work environment with flexibility to work from your preferred location.
• Opportunity to lead impactful projects in ML, fraud prevention, and digital security.
• Competitive compensation package based on experience and market conditions.
• Opportunity to work with a globally distributed team of engineers and data professionals.
• Strong focus on professional growth, learning, and career development.
• Inclusive and collaborative culture that values diverse perspectives.