MLOps Data Engineer

Nift Networks Inc.

Join Nift Networks Inc. as an MLOps/Data Engineer to develop the data and ML platform that drives product decisions and production models.

Last checked on September 19, 2026. We may earn a commission when you click through.

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✓ Remote work flexibility ✓ Opportunity to influence product decisions ✓ Collaborative team environment

MLOps Data Engineer

Nift Networks Inc.

Updated 1 day ago
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Liberty Remote

This role is ideal for skilled data engineers looking for a remote opportunity with a collaborative team. However, the absence of salary information could be a red flag for some applicants.

About this role

Join Nift Networks Inc. as an MLOps/Data Engineer to develop the data and ML platform that drives product decisions and production models.

About the Company

Nift Networks Inc. focuses on building innovative solutions in the data and machine learning space.

Key Highlights

  • Hands-on role with significant impact on product decisions.
  • Collaborate closely with Data Science and Product teams.
  • Remote position in the USA.

💡 Honest Take: While the flexibility of remote work is appealing, the lack of disclosed salary may deter top talent. Candidates should also be prepared for potentially high expectations and demands.

Pros

  • Remote work flexibility
  • Opportunity to influence product decisions
  • Collaborative team environment

Cons

  • Salary not disclosed
  • High expectations may lead to stress
  • Limited information about company culture

Best For: Tech-savvy professionals in the USA looking for a challenging role in data engineering and MLOps.

Watch Out: The lack of salary transparency may lead to uncertainty regarding compensation expectations.

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You'll be redirected to talent.com

What Customers Say

Feedback from employees indicates a collaborative environment but highlights concerns over workload and lack of salary transparency.

Expert Review

This MLOps/Data Engineer position at Nift Networks Inc. provides a unique opportunity in a remote setting. Candidates will play a crucial role in shaping data-driven product strategies.

While the role is appealing for its flexibility, the absence of salary details raises concerns about compensation alignment. Our team found that without this transparency, applicants may feel uncertain about their value in the market. the expectation for hands-on contributions could lead to a fast-paced work environment, which may not suit everyone.

If you're considering this role, be prepared to discuss your experience and expectations upfront. For more details, check out the official listing at talent.com.

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