We seek a highly skilled Python Machine Learning Engineer with extensive experience designing, developing and deploying Machine Learning models and NLP applications.
As a Python Machine Learning Engineer, you will provide expertise in LLMs for diverse Python applications, such as chatbots, question-answering systems, and content generation.
Unlock the potential of remote work in Kyrgyzstan, giving you the flexibility to work from home or access our office in Bishkek.

#LI-DNI#python-vacancies-July-KG#top-vacancies-10-KG#top-vacancies-10-KG-dec#Not found

Responsibilities

• 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 /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

• 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 55+ 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
  • Free English classes with certified teachers
• We cover it all::
  • Monetary bonuses for engaging in the referral program
  • Medical & family care package
  • Six trust days per year (sick leave without a medical certificate)
  • Coverage of psychology sessions of your choice
  • Discounts for fitness clubs and sports programs
  • Benefits package (sports activities, a variety of stores and services)