ML/AI Engineer
At a glance
Mid-level AI Engineering role at Verbit. Ukraine · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build and run machine-learning models in production, improving inference speed, response time and GPU use
- Extend speech products through third-party ASR connections and models hosted in-house
- Measure and improve ASR and ML results using WER, latency, F1, EER and DER
- Add LLMs and agent workflows to production where useful, including adapting existing models
What you bring
- At least four years working in machine learning or deep learning
- Strong Python skills, Linux experience and familiarity with deep-learning libraries and training workflows
- Experience deploying production models through MLOps pipelines and tuning inference with GPU acceleration
- Hands-on experience with Docker, gRPC, cloud-based microservices or serverless systems, and real-time low-latency processing
Who this fits
This mid-level role suits an engineer ready to build and serve production ML models, with an interest in developing speech and ASR expertise. Speech experience is not required; willingness to learn the area is essential. LLM and agentic work is optional.
From the employer
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