Verbit
Posted 1mo ago

ML/AI Engineer

Verbit
Ukraine
OnsiteFull Time
Responsibilities
  • building models
  • deploying models
  • optimizing inference
Requirements
  • 4+ years machine/deep learning experience
  • Strong Python and Linux skills
  • Experience with deep learning libraries
  • MLOps and model serving
  • GPU inference optimization
  • Docker and gRPC
  • Cloud (AWS/GCP/Azure)
Technical tools mentioned
PythonLinuxPyTorchTensorFlowDockergRPCAWSGCPAzureCrewAIAWS BedrockTemporalAgentCoreLiteLLM

Job description

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

  • Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 

  • Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 

  • Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 

  • Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

  • Solid background in machine/deep learning, with 4+ years of experience. 

  • Strong Python skills and experience working in Linux environments. 

  • Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 

  • Experience with MLOps pipelines and serving/deploying models in production. 

  • Experience optimizing models for inference, including GPU acceleration. 

  • Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 

  • Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

  • Experience building and productizing agentic flows and AI-driven solutions (1+ year). 

  • Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 

  • Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

What makes Verbit unique? 

Our team of 250 professionals builds AI-driven solutions that help the world’s leading organizations get real value from their audio and video content. We serve high-end customers across the Legal, Media and Education markets with a next-generation verbal-intelligence platform that brings AI into the core of their workflows. 

Our in-house technology combines advanced LLMs, GenAI capabilities and speech AI to power everything from legal-tech automation and real-time insights to intelligent media and learning workflows. Beyond transcription or accessibility, Verbit provides actionable intelligence: smart summaries, analytics, search, knowledge extraction, legal-deposition insights and more. 

With more than 3,000 global customers relying on Verbit—including top law firms, universities, enterprises and media organizations—we’re building the future of how speech data is processed, understood and used. 

We’re a group of: 

  • Tech-savvy individuals who are always open to more growth and learning opportunities 

  • Adaptable and flexible people who thrive in a fast-paced, startup environment 

  • Creative minds who rethink and question how to outperform past results 

  • Effective communicators who can promote and represent Verbit’s tech and brand 

About Verbit

AI-powered transcription, captioning, and translation platform.

Year founded
2017
Employees
1600
Organization type
Private
Latest investment
Raised $250.00M Series E (2021) — led by Third Point Ventures, Sapphire Ventures
Headquarters
US

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