AI / ML Engineer

We’re Techbar — a tech services company led by seasoned delivery professionals and engineers.

We help startups, product companies, and digital businesses build and scale software teams through staff augmentation, dedicated squads, and full-cycle product delivery.

Role Overview

We are looking for a AI / ML Engineer to design, develop, and deploy intelligent solutions for international products. You will work on data-driven and AI-powered systems, helping clients build smarter platforms and automate complex business processes.

Key Responsibilities

• Design, develop, and deploy machine learning models and AI-driven solutions
• Collaborate with product, data, and engineering teams to implement ML features into production systems
• Prepare and process data for model training and evaluation
• Optimize models for performance, scalability, and production deployment
• Deploy and monitor ML models in production environments
• Build ML pipelines and support model lifecycle management
• Integrate AI/ML services into backend or product systems
• Monitor model performance and continuously improve solution quality
• Maintain documentation and ensure reproducibility of ML workflows

Required Skills and Experience

• Strong experience with Python for ML development
• Experience with ML frameworks such as PyTorch, TensorFlow, or similar
• Experience building and deploying ML models in production environments
• Experience with data preprocessing and feature engineering
• Experience working with large datasets and data pipelines
• Experience with cloud environments (AWS, Azure, or GCP)
• Experience with APIs and integrating ML services into applications
• Understanding of MLOps concepts and model lifecycle management
• Experience working in Agile development environments
• Good English communication skills

Nice to have

• In-depth experience with LLMs and generative AI solutions
• Strong experience with vector databases and semantic search systems
• Experience with NLP, computer vision, or recommendation systems
• Experience with model monitoring and ML experimentation tools
• Experience with distributed data processing tools
• Experience with containerization and Kubernetes

We offer

• Remote-first collaboration model
• Long-term international AI and data projects
• Competitive compensation
• Career and professional growth opportunities
• Work with cutting-edge AI technologies and global clients
• Engineering-driven and collaborative environment