Requirements:

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning;
• Proficient in Python, R, and Java, and expertise in libraries and frameworks such as Tensor Flow, Py Torch, sci-kit-learn, and Keras;
• Experience with cloud platforms like AWS, Azure, and Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
• Modeling and Dev Ops experience for Machine Learning;
• Experience with the latest LLM models currently being rolled out in consumer-facing generative AI tools.
• Upper-Intermediate level of English is mandatory;
  Certifications obtained (mandatory):
• Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102;
• GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer;
• AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01;

With us you can:

Develop your technical knowledge:

• Use the latest technologies;
• Participate in technical events and conferences (the cost is covered by the company);
• Regular techtalks and professional development.

Improve your soft skills:

• Build strong teamwork skills and become an essential part of dynamic teams;
• Improve your English in classes and speaking directly with clients;
• Increase your productivity and communication level via Scrum, Kanban, and Agile methodologies

Our perks

• Covered vacation period: 20 business days and 5 days off
• Free English classes
• Flexible working schedule
• Truly friendly and supporting atmosphere
• Working remotely or in one of our offices
• Medical insurance for employees from Ukraine
• Compensation of psychological counseling
• Legal support
• Relocation assistance