Data Scientist focusing on Speech Processing and Machine Learning technologies for Kyivstar. Involved in developing and optimizing models to enhance internal processes and client services.
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
Requirements
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)
Experience with real-time / low-latency speech systems would be a plus
Experience with distributed data processing and training in multi-node, multi-GPU environments would be a plus
Familiarity with PySpark for large-scale data processing would be a plus
Experience with Azure/AWS would be a plus
Exposure to Data Science in the Telecom industry would be a plus
Benefits
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 to grow within the team of talented data scientists
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