Machine Learning Engineer

effie is an international software product company. We discover new and unconventional approaches to tackling business challenges by providing global cloud-based SaaS solutions, leveraging the sharing economy and AI capabilities. Optimizing business processes for manufacturers, distributors, merchandising agencies, and retail chains in the CPG (including FMCG) and pharmaceutical industries.
 

  • 140+ team members; 
  • 100+ clients across 13 countries, including PepsiCo, Coca-Cola, Nestlé, Shell, Nemiroff, Philip Morris, and others; 
  • 27,000+ users of our services; 
  • Microsoft Gold Partner. 
     

Our Value:

  • Passion - You can only make customers happy if you truly love what you do; 
  • Trust - The foundation of all relationships, inside and outside the company; 
  • An Eye for Excellence - A deep appreciation for quality in every form; 
  • Simplicity - The best things don’t need extra explanation. 


 

As a ML Engineer of R&D Team, you will be responsible for: 

  • Designing, prototyping, and implementing advanced AI solutions and agent-based system architectures. 
  • Working with Computer Vision (CV) and Image Recognition (IR) technologies for real-time and offline processing. 
  • Developing and fine-tuning Natural Language Processing (NLP) models, including work with Large Language Models (LLMs). 
  • Integrating and optimizing Neural Networks (NNs) for performance-constrained environments, including mobile platforms. 
  • Keeping up to date with trends and advancements in Metric Learning, LLMs, RAG pipelines, and conversational AI. 
  • Collaborating closely with Software Engineers, Data Scientists and Product Teams for testing and implementing improvements. 
     

Must have:

  • 2+ years of hands-on experience in Machine Learning, including practical projects in NLP or CV or LLMs. 
  • Experience in training, fine-tuning, and optimizing deep learning models using PyTorch or TensorFlow. 
  • Good understanding of computer science fundamentals, such as algorithms, data structures, and complexity analysis. 
     

Nice to have:

  • Good written and spoken English for technical communication. 
  • Programming skills in Python and familiarity with vector databases. 
  • Knowledge of Retrieval-Augmented Generation (RAG) and its real-world applications. 
  • Experience working with cloud environments (AWS/GCP/Azure) and deploying ML models in production. 
  • Practical experience in building AI Agents and Agent-based solutions. 
  • Experience with Langchain, Langgraph, and best practices in LLMOps. 
     

We offer:

  • Work format: remote or hybrid. 
  • Office in Kyiv, a 15-minute walk from Sviatoshyn metro station, featuring a shelter and all necessary amenities for uninterrupted work during power outages and blackouts. 
  • Free parking for cars, motorcycles, and bicycles. 
  • Partial reimbursement for medical insurance upon successful completion of the probation period. 
  • 21 working days of paid vacation, plus paid sick leave. 
  • 12 additional days off per year. 
  • Exclusive discount card for the WineTime retail chain. 
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