Middle ML/AI Engineer

Iryna Yekholova

Recruiter

i.yekholova@geniusee.com

+380 93 793 03 20

@Eholivs

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Requirements

2–4 years of experience in machine learning, data engineering, or AI systems;
Strong Python skills and hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow, or scikit-learn);
Experience with data pipelines, preprocessing, and augmentation for structured or unstructured data;
Solid understanding of at least one ML domain: computer vision (CNNs, object detection), NLP/LLMs (RAG, embeddings, semantic search), or tabular modeling;
Familiarity with evaluation techniques: precision/recall, mAP, RMSE, or business-specific KPIs;
Experience working with SQL/NoSQL databases and at least one vector database (Pinecone, FAISS, Qdrant) is a plus;
● Good problem-solving and analytical skills, independence, and ability to work in agile environments.

Would be a plus

Experience with RAG frameworks (e.g., LangChain, LlamaIndex) and vector search techniques;
Familiarity with LLMs, prompt engineering, and fine-tuning practices;
Knowledge of MLOps tools (MLflow, DVC) and CI/CD for ML pipelines;
Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes);
Understanding of data lake/data warehouse architectures (e.g., BigQuery, Snowflake);
Participation in AI/ML competitions or contributions to open-source projects.

What you will do

Design, train, and evaluate ML models for predictive or generative use cases using modern frameworks;
Build and optimize data pipelines, including preprocessing, transformation, and storage;
Work closely with cross-functional teams to integrate models into production systems and user-facing products;
Explore, test, and apply cutting-edge techniques from research in CV, NLP, or recommender systems;
Maintain documentation of modeling processes and contribute to technical planning and estimations.

What you will get

Competitive salary and good compensation package;
Exciting, challenging and stable startup projects with a modern stack;
Corporate English course;
Ability to practice English and communication skills through permanent interaction with clients from all over the world;
Professional study compensation, online courses and certifications;
Career development opportunity, semi-annual and annual salary review process;
Necessary equipment to perform work tasks;
VIP medical insurance or sports coverage;
Informal and friendly atmosphere;
The ability to focus on your work: a lack of bureaucracy and micromanagement;
Flexible working hours (start your day between 8:00 and 11:30);
Team buildings, corporate events;
Paid vacation (18 working days) and sick leaves;
Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
Compensation for coworking (except for employees from Kyiv and Lviv);
Corporate lunch + soft skills clubs;
Unlimited work from home from anywhere in the world (remote);
Geniusee has its own charity fund.

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