Machine Learning Engineer

We’re looking for an ML/AI Engineer with 1–2 years of experience to help develop, integrate, and improve machine learning and AI-powered solutions.

You’ll collaborate with experienced engineers and other team members to build practical AI applications, experiment with different approaches, and bring AI capabilities into real-world products.

What you’ll do

• Develop and maintain AI/ML applications using Python
• Work with machine learning libraries and frameworks to implement and evaluate models
• Prepare, process, and analyze datasets for AI/ML tasks
• Integrate LLM APIs and other AI services into applications
• Experiment with prompts, model configurations, and different approaches to improve results
• Contribute to the development of AI-powered features, including chatbots and intelligent automation
• Work with embeddings, vector databases, and retrieval-based solutions when needed
• Evaluate model outputs and help improve accuracy, relevance, and reliability
• Write tests and maintain readable, reusable code
• Collaborate with backend engineers, data engineers, and other stakeholders

• Document experiments, technical decisions, and implementation details
   

  What we’re looking for

• 1–2 years of commercial experience in AI/ML development, Python development with AI/ML responsibilities, or a related role
• Good knowledge of Python and common development practices
• Familiarity with libraries such as Pandas, NumPy, and scikit-learn
• Understanding of fundamental machine learning concepts and model evaluation
• Practical experience with at least one of the following:
  - LLM APIs and AI application development
  - Machine learning model development and evaluation
  - NLP or other applied AI solutions
• Understanding of data preprocessing and basic statistical concepts
• Familiarity with REST APIs, Git, and testing
• Analytical thinking and the ability to investigate technical problems

• Intermediate English or higher
   

  Nice to have

• Experience with OpenAI or other LLM APIs
• Familiarity with RAG (Retrieval-Augmented Generation)
• Experience with LangChain, LangGraph, or similar frameworks
• Familiarity with vector databases such as Pinecone, Qdrant, or Weaviate
• Experience with PyTorch or TensorFlow
• Basic knowledge of embeddings, semantic search, and prompt engineering
• Familiarity with Docker and cloud platforms such as AWS, Azure, or GCP

• Understanding of AI evaluation, monitoring, and deployment practices

  
  🎁 What we offer

• 100% remote work
• Flexible working hours
• Competitive compensation
• Paid vacation and sick leave
• Health insurance / medical support
• Professional development and learning opportunities
• A friendly, supportive team with direct communication
• The opportunity to work on challenging international projects