Remote Data Scientist: ML Production & AI Agents

Satalia; United States; Remote; USD 72,000 - 105,000; Full time

Benefits offered by this job

Healthcare benefits

Flexible hours

Learning & development

Remote work from Greece

Full-time

Job summary

Satalia is seeking a skilled ML/AI engineer to bring models and LLM-powered agents into production. You will own components spanning data, modelling, and evaluation, collaborating with engineers to deploy solutions.

You will work on projects including AI agents, privacy-preserving learning, geospatial and synthetic data, with a strong emphasis on practical, production-ready systems. This role is fully remote from Greece with healthcare benefits and flexible hours.

Qualifications

• 2–5 years of experience building machine learning or AI models for production.
• Strong modelling skills across structured and unstructured data.
• Practical experience building systems powered by large language models.
• Proficiency in Python and sound practices in version control, testing, and code review.
• Clear communication with both technical and non-technical audiences.

Responsibilities

• Select modelling approaches and develop models or LLM-powered agents for project needs.
• Build training and evaluation workflows, including checks for model and agent reliability.
• Own project components across data, modelling, and evaluation.
• Work with engineers to integrate solutions into production systems.
• Communicate findings to technical and non-technical stakeholders and support junior colleagues.

Skills

ML production experience

Structured data modelling

Unstructured data modelling

LLM systems

Python

Version control

Testing

Code review

Communication

Tools

Python

Job description

Satalia is seeking a skilled ML/AI engineer to bring models and LLM-powered agents into production. You will own components spanning data, modelling, and evaluation, collaborating with engineers to deploy solutions.

You will work on projects including AI agents, privacy-preserving learning, geospatial and synthetic data, with a strong emphasis on practical, production-ready systems. This role is fully remote from Greece with healthcare benefits and flexible hours.