Junior+ ML/AI Engineer
Summary
A Junior+ ML/AI Engineer at an outsourced app-development company in Minsk (office or remote) builds RAG-based systems, integrates LLMs and speech (STT/TTS) models, works with graph databases like Neo4j, and wires ML services into Python backends via REST APIs and tools like n8n, serving telecom-domain product teams.
We, Aksamit Mobile Solutions, specialize in application development for tech startups and established enterprises in the US and Western Europe. Our projects are not tied to one area, so there is an opportunity to work with cool products in Fintech, Health, Social Media and Blockchain.
Our team is actively growing and now we are looking for a Junior+ ML/AI Engineer In Minsk to help us develop our team.
Format: Full-time
Location: Minsk Office or Remote
We are looking for a Junior+ ML Engineer with hands-on experience building RAG-based systems, working with graph databases, and integrating voice/text AI models. The ideal candidate should be able to quickly understand the telecom domain and work effectively as part of a product team.
Required Skills:
Machine Learning / AI
- Hands-on experience building RAG (Retrieval-Augmented Generation) systems or similar architectures
- Experience integrating and working with LLMs (OpenAI, open-source models, etc.)
- Understanding of embeddings, vector search, chunking, and prompt engineering
Voice / Speech
Practical experience with:
- Speech-to-Text (STT)
- Text-to-Speech (TTS)
- Experience integrating ready-made models or APIs
Databases / Data Layer
- Experience with graph databases such as Neo4j or similar
- Understanding of relationships, graph queries, and ontologies
Backend / Integration
- Strong Python skills
- Experience integrating ML services into backend applications
- Experience with REST APIs and webhooks
Workflow Automation
- Experience with n8n is a strong plus
- Familiarity with workflow orchestration and pipeline automation tools
Domain Knowledge
- Experience in telecom projects or related areas such as IoT or network services is a plus
- Ability to quickly learn and understand a new domain
- English level B2 or higher
Nice to Have
- Experience with Deep Learning
- Familiarity with Docker or cloud platforms (AWS, GCP, Azure)
- Knowledge of MLOps concepts
- Experience with data visualization tools
- Personal ML projects or Kaggle competitions
What we offer:
From the 1st working day:
- 12th-month pay policy;
- corporate events;
- cash benefits for significant events in life;
- online/offline literature compensation;
- B-day gifts;
After passing the probation period (+ benefits from the 1st working day):
- medical insurance (including dental services);
- 25 vacation days;
- 3 days off;
- corporate English;
- compensation for educational courses online/offline;
- sports compensation;
- corporate gifts.
*Вакансия является планируемой к созданию и замещению (перспективной).