About
Join our team as a Senior Machine Learning Engineer and contribute to the development of cutting-edge AI powered solutions for a global technology consulting project. You will work on designing, building, and operationalizing scalable AI systems that leverage modern cloud technologies, machine learning, and distributed architectures to solve complex business challenges in production environments.
Relocation package
Job rotation
Learning through Arnia Academy
Attractive projects
Flexibile working hours
Performance bonuses
Medical benefits
Trainings
Competitive compensation package
Referral program
International work experience

Requirements

  • Strong experience with Python for backend development and AI application development
  • Experience with Java or Kotlin
  • Hands-on experience with AWS, including serverless services such as AWS Lambda
  • Solid experience developing APIs using FastAPI
  • Experience working with microservices architectures
  • Familiarity with Apache Spark and large-scale data processing
  • Experience with GitHub and GitHub Actions for version control and CI/CD pipelines
  • Proven experience developing and operationalizing AI/ML systems in production
  • Strong understanding of data architecture and scalable AI platform design
  • Experience with MLOps practices, model deployment, monitoring, and lifecycle management
  • Experience with NLP or ASR
  • Ability to work collaboratively in cross-functional, distributed teams with excellent communication skills

Responsibilities

  • Design and develop scalable AI-powered backend services using Python
  • Build and deploy AI/ML solutions into production environments
  • Develop REST APIs with FastAPI and integrate AI capabilities into applications
  • Design and maintain microservices-based architectures
  • Deploy and monitor applications on AWS using services such as Lambda
  • Collaborate with cross-functional teams to bring AI models into production
  • Contribute to AI platforms supporting NLP, Search, ASR, Recommendation Systems, and GenAI
  • Automate development workflows using GitHub Actions and CI/CD pipelines
  • Participate in architecture discussions and technical decision-making
  • Write clean, maintainable, and well-tested code
  • Collaborate with international teams to deliver high-quality AI solutions

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General application

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