Machine Learning Engineer
bards.ai team is engaged in conducting research projects, performing analysis and producing software that includes machine learning. Recognized for GenAI innovation (Deloitte AI Value Driver 2025), we value willingness to grow, commitment and creativity in finding solutions - you will have a real impact on the development of the project. We are oriented towards working with clients in need of an external R&D team. We are looking for an employee for the position of Machine Learning Engineer, where his/her task will be to design and implement LLM-based workflows and AI agents, engineer prompts and optimize model outputs, develop and deploy custom language models, and build production AI features for client products.
Requirements:
Ability to autonomously plan and execute tasks, focusing on the achievement of business objectives
Teamwork skills and good communication
Communicative English
B.Sc./M.A/M.Sc. degree in Computer Science, Engineering, Math, Statistics or other equivalents fields
2 years as Machine Learning Engineer - a background with ML concepts and models.
Practical experience in Python, particularly in data science and machine learning libraries (PyTorch, Huggingface)
Strong experience with LLMs, prompt engineering, and LLM-driven workflows
Experience building AI agents or multi-step LLM pipelines
Ability to process data using Numpy, Pandas or visualization tools
Experience with vector databases
Foundational skills in database management and data retrieval for data analysis
Familiarity with Docker
Nice to have:
Experience with Agentic AI frameworks (LangGraph, OpenAI AI SDK, etc.)
Knowledge of RAG architectures and LLM orchestration
Familiarity with LLM evaluation and output quality monitoring
Keeping up to date with the latest developments/models of AI
Knowledge of backend frameworks (Django/Fast APIs)
What we offer:
on-site social integrations
equipment fund
access to GPUs/compute resources
flexible working hours
private health care plan
multisport card
Please do not hesitate to contact us if you have any questions!
Looking forward to hearing from you!
Machine Learning Engineer
Machine Learning Engineer