[Hiring] Data Scientist @Kyivstar

Role Description

As part of the AI transformation strategy, Kyivstar invests resources into development of products and services that use 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.

• 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

Qualifications

• 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)

Requirements

• 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

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