Senior CV ML Engineer

This is a fully remote position, open to applicants in Cyprus.

📋 Description

• Take ownership of the entire model lifecycle — encompassing data, labeling, training, evaluation, deployment, monitoring, and feedback.

• Enhance detection and segmentation models to perform effectively across a variety of real-world conditions, lighting scenarios, and environments.

• Collaborate with the validators team to develop labeling, testing, and validation processes — including taxonomies, guidelines, QA loops, and active learning.

• Establish evaluation methodologies; pinpoint weaknesses and implement solutions.

• Maintain close relationships with customers and the product team — understanding what they value influences model priorities.

• Implement models on Triton, focusing on latency, throughput, and cost efficiency.

• Lead research initiatives in areas such as pretraining, architectures, and multi-stage pipelines.

⛳️ Requirements

• Over 5 years of experience in CV/ML with a senior-level expertise.

• Profound knowledge of the complete CV model lifecycle.

• Proven track record of delivering high-quality production CV models that are resilient in real-world conditions, effectively addressing edge cases.

• Methodical approach — you can identify when evaluation, labeling, or training processes are malfunctioning and are able to rectify them.

• Business and product acumen — you comprehend how models generate revenue and prioritize business-impactful accuracy over mere precision.

• Proficient in YOLO (preferably YOLO 11, but any recent version is acceptable).

• Experience in designing labeling and annotation processes alongside annotation teams.

• Familiarity with Roboflow workflows or similar systems (including dataset versioning, labeling, and augmentation).

• Knowledge of Triton deployment and optimization (or similar serving infrastructure).

• Understanding of MLOps fundamentals — including experiment tracking, model versioning, evaluation, and production monitoring.

• Strong proficiency in PyTorch and production-level Python (beyond just notebooks).

• Fluent or native Russian speaker (mandatory).

• Proficient in English at a B1 level or higher.

🏝️ Benefits

• Fully remote work with CET hours.

• Opportunity to make a significant impact on product development at scale.

• Direct interaction with leadership and the engineering team.

• Culture that embraces AI-augmented development.

• Competitive compensation, which will be discussed on an individual basis.