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.
This is a fully remote position that offers you the flexibility to work from any location in Armenia, whether it's your home or well-equipped offices in Yerevan or Gyumri.
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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
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- 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
- Fluent English communication skills at a B2+ level
- 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 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, 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
- Four trust days per year for personal needs
- Discounts for fitness clubs
- Benefits package (hotels, restaurants, stores and services)