We are seeking a Middle Machine Learning Engineer to join our dynamic team. This role requires a professional with a blend of machine learning and data engineering skills who is ready to develop and implement transformative models.

As part of our team, you will work alongside a diverse group of professionals, crafting innovative solutions and making significant contributions to the tech industry.

If you are passionate about solving complex problems and delivering impactful results, we invite you to apply and join us.
This position offers remote setup with the flexibility to work from any location in Georgia, whether it's your home, a well-equipped office in Tbilisi or coworking spaces in Batumi and Kutaisi.

• Contribute to the ML Pipeline development (all steps from data ingestion to inference)
• Create and maintain ML pipeline steps
• Assist in the ML prediction endpoint implementation
• Configure MLOps tools
• Write specifications, documentation and user guides for developed ML pipelines

• At least 3 years of production experience working as an MLE, automating ML model pipelines
• Solid understanding of AI/ML lifecycle phases
• Practical knowledge of at least one of the major Cloud Providers such as AWS, GCP and Azure
• Proficiency in at least one CICD technology stack (e.g., git, GitHub, GitHub Actions, Docker, etc.)
• 2+ years of production experience working in cross-functional teams on commercial projects using agile methodologies such as Scrum, Kanban, Lean or SAFe

• Familiarity with the MLOps related platform/technology such as AWS SageMaker, Azure ML, GCP Vertex AI / AI Platform, Databricks MLFlow, Kubeflow, Airflow, TensorFlow Extended
• Competency in the Apache Spark Ecosystem
• Expertise in LLM/GenAI

• We connect like-minded people:
  • Delivering innovative solutions to industry leaders, making a global impact
  • Enjoyable working environment, whether it is the vibrant office or the comfort of your own home
  • Opportunity to work abroad for up to two months per year
  • Relocation opportunities within our offices in 50+ countries
  • Corporate and social events
• We invest in your growth:
  • Leadership development, career advising, soft skills and well-being programs
  • Certifications, including GCP, Azure and AWS
  • Unlimited access to LinkedIn Learning, Get Abstract, O'Reilly, Cloud Guru
  • Free English classes with certified teachers
• We cover it all:
  • Participation in the Employee Stock Purchase Plan
  • Monetary bonuses for engaging in the referral program
  • Comprehensive medical & family care package
  • Five trust days per year (sick leave without a medical certificate)
  • Benefits package (sports activities, a variety of stores and services)