Job VC
AI Engineer (Speech)
Technologies
Description
Project description
As part of the AI transformation strategy, Kyivstar invests resources in the integration of GenAI/Speech technologies into 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.One
of the key directions of this strategy is the development of AI assistants and services for external partners and clients. To achieve this, company is looking for AI Engineer (Speech) — specialists in the field of GenAI and Speech Processing with deep ML/DL background and practical skills in developing AI assistants and voice bots.
Necessary skills
4+ years of experience in ML/DL with strong focus on STT/TTS
Hands-on experience training and deploying models for various speech processing tasks (e.g., speech classification, speech-to-text, text-to-speech, and speaker diarization)
Practical experience building AI applications using LLMs
Strong Python skills with experience in writing scalable software modules
Fundamental knowledge of ML/DL theoretical concepts
Familiarity with RESTful APIs and basic web development principles
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
Experience with LangChain, LangGraph, and FastAPI
Experience with Azure/AWS
Familiarity with PySpark for large-scale data processing
Exposure to Data Science in the Telecom industry
Responsibilities
Design, train, and optimize ASR and TTS models for production use
Design and develop AI-powered assistants
Fine-tune and optimize large-scale models for specific business needs
Collaborate with 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 to grow within the team of talented data scientists
As part of the AI transformation strategy, Kyivstar invests resources in the integration of GenAI/Speech technologies into 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.One
of the key directions of this strategy is the development of AI assistants and services for external partners and clients. To achieve this, company is looking for AI Engineer (Speech) — specialists in the field of GenAI and Speech Processing with deep ML/DL background and practical skills in developing AI assistants and voice bots.
Necessary skills
4+ years of experience in ML/DL with strong focus on STT/TTS
Hands-on experience training and deploying models for various speech processing tasks (e.g., speech classification, speech-to-text, text-to-speech, and speaker diarization)
Practical experience building AI applications using LLMs
Strong Python skills with experience in writing scalable software modules
Fundamental knowledge of ML/DL theoretical concepts
Familiarity with RESTful APIs and basic web development principles
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
Experience with LangChain, LangGraph, and FastAPI
Experience with Azure/AWS
Familiarity with PySpark for large-scale data processing
Exposure to Data Science in the Telecom industry
Responsibilities
Design, train, and optimize ASR and TTS models for production use
Design and develop AI-powered assistants
Fine-tune and optimize large-scale models for specific business needs
Collaborate with 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 to grow within the team of talented data scientists