ML Engineer Middle+/ Senior [AI Team]
About the team:
AI Platforms 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. About the role:
We’re looking for a Middle+/Senior Applied ML Engineer to build and optimize ML solutions for real business use cases. You’ll work on OCR, ASR, LLMs, and classification tasks — focusing on training, fine-tuning, data quality, and production readiness.
AI Platforms 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. About the role:
We’re looking for a Middle+/Senior Applied ML Engineer to build and optimize ML solutions for real business use cases. You’ll work on OCR, ASR, LLMs, and classification tasks — focusing on training, fine-tuning, data quality, and production readiness.
Challenges that await you:
- Train, fine-tune, and adapt models for practical internal use cases
- Work on ASR-related tasks, including model training, improvement, and practical adaptation to product needs
- Work with datasets end to end: define data requirements, prepare and structure data, support labeling workflows, and improve data quality
- Optimize models for practical use, including performance, efficiency, and quality trade-offs
- 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
- Strong experience with Automatic Speech Recognition (ASR) systems
- Proficiency in frameworks like PyTorch
- 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
- Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
- Ability to work collaboratively with cross-functional teams
- Experience with OCR systems is a plus
- Experience with content understanding or abuse prevention with LLMs is a plus
- B1 or higher English level for effective communication with an international team
- 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
- 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
- Healthcare Coverage
- 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
