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Data Scientist

Pubblicato il 17-08-2026 - Altro in Albenga

Data Scientist (Speech) As part of the AI transformation strategy, Kyivstar invests resources into development of products and services that uses cutting edge ML and Speech technologies to significantly improve internal processes and day‐to‐day tasks, but also uses gained experience to help partners and clients to receive maximum benefits from these technologies too.
Necessary skills 4+ years of experience in Machine Learning, Deep Learning and Speech Processing
Strong Python skills with experience building maintainable and production‐ready ML code
Fundamental knowledge of ML/DL theoretical concepts
Hands‐on experience with training and deploying models for various speech processing tasks including data preparation (e.g., speech classification, speech‐to‐text, text‐to‐speech, speaker diarization, etc.)
Practical experience developing and deploying end‐to‐end production‐ready ML pipelines, covering data gathering, preparation, training, validation, and inference
Proficient in version control (Git) and containerization tools (Docker)




Would be a plus Experience with real‐time / low‐latency speech systems
Experience with distributed data processing and training in multi‐node, multi‐GPU environments
Familiarity with PySpark for large‐scale data processing
Experience with Azure/AWS
Exposure to Data Science in the Telecom industry
Responsibilities Design, train, and optimize ASR and TTS models for production use
Design, train, and evaluate classical ML models
Perform feature engineering and data analysis for both speech and non‐speech data
Collaborate with DE/DevOps team to deploy the solution
Plan and manage ML projects, articulate methodologies, and communicate results and business impact to stakeholders and customers
Proposed Working with huge amounts of data at the largest operator in Ukraine
Hands on experience with Cloud technologies and tools
Great diversity of tasks and projects to utilize your knowledge and skills; flexibility in tools and approaches
Opportunity t

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