Middle ML/AI Engineer Offline

Our mission at Geniusee is to help businesses thrive through tech partnerships and strengthen the engineering community by sharing knowledge and creating opportunities🌿
Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the offices in Kyiv or Lviv with stable electricity and Wi-Fi , great — apply right now.

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.

Responsibilities:
● 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.

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 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.