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Data Engineer (100% Remote - Poland) at Tether.to

Remote: 
Full Remote
Contract: 
Experience: 
None
Work from: 

Offer summary

Qualifications:

Strong proficiency in Python, Experience with data pipeline construction, Understanding of AI and machine learning concepts, Knowledge of database management systems, Remote work experience preferred.

Key responsabilities:

  • Design, build, and maintain data pipelines
  • Collaborate with data scientists on requirements
  • Ensure performance and quality of systems
  • Identify and resolve bottlenecks and bugs
  • Implement strategies for data collection and efficiency
Tether.to logo
Tether.to Financial Services Startup https://tether.to/
11 - 50 Employees
See more Tether.to offers

Job description

About the job


At Tether, we're committed to making advanced AI technologies more accessible. Thanks to its investment in AI infrastructure, starting from Northern Data, Tether is now in a prime position to tackle ambitious AI projects. Our goal is to build the next generation of AI models, leading innovation in AI, through an accessible, transparent and privacy preserving approach.The role involves building AI solutions across the spectrum from large-scale models designed for advanced applications to smaller, highly performant models tailored for efficiency on edge devices such as mobile phones and laptops.Our dynamic team operates entirely remotely, uniting talent from every corner of the globe. Our journey has been marked by rapid growth and efficient operations, firmly establishing us as pioneers within the industry. Join us in building AI models and solutions that not only compete with but exceed the capabilities of current leaders, driving both technological advancement and broad accessibility.


What You'll Do:

  • Design, build, and maintain efficient, reusable, and reliable Python code to construct data pipelines.
  • Work closely with data scientists and analysts to understand and fulfill their data requirements.
  • Ensure the performance, quality, and responsiveness of data pipelines.
  • Identify bottlenecks and bugs, and devise solutions to these problems.
  • Maintain code quality, organization, and automatization.
  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.
  • Collaborate with teams to integrate systems.

Required profile

Experience

Level of experience: None
Industry :
Financial Services
Spoken language(s):
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration

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