Tech Stack
PythonAWSAzureGCPPyTorchMachine LearningLangChainNLPHugging Face TransformersJAX
Job Description, Responsibilities & Requirements
About the Position
We are seeking a highly skilled Senior Python Machine Learning Engineer with extensive experience in designing, developing, and deploying Machine Learning models and NLP applications.
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
Requirements
- 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 Offer
- Opportunity to work with cutting-edge technologies in Machine Learning and NLP
- Collaborative environment with cross-functional teams
- Professional growth and development opportunities
About the Company
EPAM Systems is a global software engineering and product development company, delivering digital platforms and large-scale systems to clients across various industries.
Location
Kyrgyzstan