Highly Skilled ML Engineer for Large Language Model Development
1 miesiąc temu
We are seeking an experienced Machine Learning Engineer to join our team at IT Performance. The ideal candidate will have a strong focus on developing Large Language Models (LLMs) and driving scalable AI/ML solutions.
Job DescriptionThe successful candidate will be responsible for:
- Developing and implementing LLM applications with a focus on tool use and reasoning
- Fine-tuning LLMs and building data pipelines and deployment pipelines for LLM applications
- Integrating MLOps technologies such as SageMaker, Vertex AI, and Kubeflow for production-grade ML systems
- Automating processes using scripting languages and tools to ensure efficient deployment workflows
- Collaborating on version control (Git), CI/CD tools (Jenkins, GitLab CI), and data visualization tools (e.g., Tableau)
- Implementing test-driven development and ensuring high standards of coding practices
The ideal candidate will possess:
- Experience with LLM application development, particularly agentic design
- Experience with LLM fine-tuning is a significant advantage
- Proficiency in building scalable ML/AI pipelines and deploying them in production
- Experience with ML/AI toolkits such as AWS Sagemaker (other toolkits like Pytorch, Tensorflow, Keras, MXNet, H20, etc. are nice to have)
- Knowledge of MLOps technologies such as SageMaker, Vertex AI, and Kubeflow
- Familiarity with cloud platforms (AWS, Azure, GCP), containerization (Docker) and CI/CD tools
- Proficiency in Python and/or R, and experience with ML libraries
- Solid understanding of SQL databases, data engineering, and data science fundamentals
- Familiarity with agile methodologies, collaboration tools like Jira and Confluence
- Problem-solving skills and the ability to work in a multicultural, global team
We offer:
- An international working environment
- A form of cooperation: B2B contract
- A rate depending on experience (130-150 PLN/h + VAT)
- Remote work
Estimated salary: 26,000 - 31,000 PLN per month (based on a 40-hour workweek). This estimate takes into account the location and industry standards.
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