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Remote ML/Data Science Engineer

Remote:

Full Remote

Contract:

Freelance

Experience:

Mid-level (2-5 years)

Work from:

Poland

Offer summary

Qualifications:

Experience with LLM applications development, Proficiency in Python and/or R, Knowledge of MLOps technologies, Solid understanding of SQL databases, Familiarity with cloud platforms and CI/CD tools.

Key responsabilities:

Develop and implement LLM Agent applications
Fine-tune LLMs and build deployment pipelines
Integrate MLOps technologies for production ML systems
Automate processes and ensure deployment workflows
Collaborate on version control and coding practices

IT Performance

11 - 50 Employees

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Job description

We are seeking an experienced ML Engineer / Data Scientist with a strong focus on developing LLM (Large Language Model) Agent applications. If you have a passion for agentic design, tool usage, and reasoning within LLM applications, and a knack for driving scalable AI/ML solutions, this role is for you!

Obowiązki

Develop and implement LLM Agent applications, with a focus on tool use and reasoning
Fine-tune LLMs and build data pipelines and deployment pipelines for LLM applications
Integrate MLOps technologies such as SageMaker, Vertex AI, and Kubeflow for production-grade ML systems
Automate processes using scripting languages and tools, ensuring efficient deployment workflows
Collaborate on version control (Git), CI/CD tools (Jenkins, GitLab CI), and data visualization tools (e.g., Tableau)
Implement test-driven development and ensure high standards of coding practices

Wymagania

Experience with LLM applications development in particular 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 Sagemager (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

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