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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