Remote AI/ML Engineer
Role details
Job location
Tech stack
Requirements
Intensive Hands-on ML/AI experience
Building applications with LLMs
Model fine-tuning experience mandatory
Python-based AI/ML pipeline design and implementation
Hands-on experience with agent frameworks
NLP fundamentals and speech-to-text integration experience
Business-level English fluency required - daily collaboration with a global team
You Might Thrive In This Role If You
True believer in AI. You're convinced AI can genuinely change how people work - and you want to build it.
Pipeline thinker. You see the full flow: collection preprocessing model serving monitoring.
Benefits & conditions
We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly.
From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology.
By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth - while we take care of the technology that drives it.
We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role.
AI/ML Engineer
DOHE Global is using AI to reshape how startup consulting works. AI analyzes coaching sessions and generates reports, matches startups with the right experts, and in the long run, AI Agents will deeply analyze Problem-Solution Fit. This team turns all of that into reality.
This is not a prompt engineering role. You'll design and build end-to-end AI pipelines - recording transcription summarization coaching report. Fine-tune LLMs for domain-specific models and architect Multi-Agent systems.