ML Engineer Middle+/ Senior [AI Team]
External
Platacard · WorldwidePrepare for this interview
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About the role
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. 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 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
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