machine learning engineer

EPAM Systems is a global provider of digital platform engineering and software development services. The company delivers innovative solutions to industry leaders across various sectors and maintains a strong commitment to technological excellence and innovation.

• Design, build and deploy Machine Learning models and applications using Python;
• Research and provide expertise in LLMs for diverse applications such as question-answering systems, chatbots, and content generation;
• Collaborate with cross-functional teams to establish product requirements, deliver top-quality solutions, and ensure seamless integration with existing systems;
• Optimize and fine-tune LLM models to meet performance, efficiency and accuracy goals;
• Create and maintain documentation for implemented solutions, ensuring accurate and concise reporting on technical specifications and system requirements;
• Troubleshoot and resolve issues related to LLM usage in production scenarios, ensuring high reliability and performance.

• 3+ Years of Python development and Machine Learning engineering;
• Experience with software engineering principles, including design patterns and code optimization techniques;
• Demonstrated solid programming skills in Python using efficient algorithms;
• Proficiency working with LLMs, such as GPT3, Llama, T5, BERT and NLP frameworks, like Hugging Face Transformers, PyTorch or JAX;
• Familiarity with cloud computing platforms, such as AWS, Azure, or GCP;
• Showcase of LLMOps: Auto-GPT, Langchain, LlamaIndex, VectorDBs;
• Strong understanding of statistical methods and analysis;
• Knowledge of version control systems such as Git.

• Opportunity to work abroad for up to two months per year;
• Relocation opportunities within offices in 55+ countries;
• Corporate and social events;
• Leadership development, career advising, soft skills and well-being programs;
• Certifications, including GCP, Azure and AWS;
• Unlimited access to LinkedIn Learning and Udemy;
• Free English classes with certified teachers;
• Discounts in local language schools, including online courses for the Kazakh language;
• Participation in the Employee Stock Purchase Plan;
• Monetary bonuses for engaging in the referral program;
• Medical & family care package;
• Six trust days per year;
• Coverage of psychology sessions;
• Benefits package including sports activities and discounts in stores;
• Housing support program via Otbasy Bank partnership.