We are looking for ML Engineer for AI Team — a team that builds the shared AI foundation for Plata, helping product and business teams launch AI solutions faster. We create reusable platforms and tools used across customer care, operations, compliance, telesales, and more. We work with AWS, Go, Python, and cloud models, combining off-the-shelf solutions with custom infrastructure — including copilots, agents, RAG, voice/OCR services, AI gateway, and ML pipelines.
Challenges that await you:
Train, fine-tune, and adapt CV and vision-language models (detection, classification, VLMs) to document and image tasks
Work with datasets end to end: define data requirements, prepare and structure data, support labeling workflows, and improve data quality
Optimize models for production — accuracy, latency, cost, and robustness to real-world image quality (noise, skew, lighting, low-res scans and phone photos)
Collaborate with engineers to bring trained or adapted models into real production use cases
What makes you a great fit:
Demonstrated experience in deep learning and transformers models
Hands-on experience with OCR and document understanding (text detection and recognition, layout analysis, information extraction) using VLMs and classical CV models
Hands-on experience training, fine-tuning, or adapting CV models for practical use cases
Proficiency in frameworks like PyTorch, with CV tooling such as OpenCV / torchvision
Understanding of how model quality depends on dataset design, labeling quality, and data preparation
Ability to go deeper than standard training notebooks and make informed decisions during training and optimization
Strong foundation in data structures, algorithms, and software engineering principles
Familiarity with LLM training and fine-tuning methods, such as distillation, supervised fine-tuning, and policy optimization
Experience with content understanding or abuse/fraud prevention is a plus
B1 or higher English level for effective communication with an international team
Our ways of working:
Innovative Spirit: A commitment to creativity and groundbreaking solutions
Honest Feedback: valuing open, transparent communication
Supportive Team: a strong, collaborative community
Celebrating Achievements: recognizing our wins together
High-Tech Environment: a team full of smart and revolutionary people who date to challenge the status quo of incumbent finances
Our benefits:
Relocation support to one of our hubs — Cyprus, Serbia, Georgia or Kazakhstan — with assistance for the employee and their family
Flexible work from one of our offices or remotely within time zones from GMT-2 to GMT+5
HealthcareCoverage
Education Budget: Language lessons, professional training and certifications
Wellness Budget: Mental health and fitness activity reimbursements
Vacation policy: 20 days of annual leave and paid sick leave