Senior ML Engineer for Part-Time GenAI Projects

Mindrift; Kentucky; On-site; USD 74,000 - 124,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a project-based opportunity, not permanent employment.

Contributors may design original computational STEM problems, create Python-based solutions, and verify results using standard libraries. Tasks are 10–20 hours per week during active phases, with compensation up to $90/hour depending on level and pace.

Qualifications

• 5+ years of hands-on ML experience with proven business impact.
• Portfolio of completed ML projects/publications showcasing real-world problem-solving.
• Expert Python programming for data science (pandas, numpy, scipy, scikit-learn).
• Expert statistical analysis and ML understanding of algorithms and applications.
• Expert with SQL for data manipulation and analysis.
• Experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
• Knowledge of MLOps practices and model deployment workflows.
• Knowledge of TensorFlow/PyTorch/LangChain frameworks.
• Strong written English (C1+).

Responsibilities

• Design original computational STEM problems simulating real scientific workflows.
• Create problems requiring Python programming to solve.
• Ensure problems are computationally intensive and not solvable manually quickly.
• Develop problems needing non-trivial reasoning and creative problem solving.
• Verify solutions using Python with libraries (Numpy, Pandas, Scipy, scikit-learn).
• Document problem statements clearly and provide verified correct answers.

Skills

5+ years of ML experience

Python programming

SQL

GenAI technologies

MLOps

TensorFlow / PyTorch

LangChain

English (C1+)

Tools

Pandas

NumPy

SciPy

scikit-learn

Vector databases

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems. This is a project-based opportunity, not permanent employment.

Contributors may design original computational STEM problems, create Python-based solutions, and verify results using standard libraries. Tasks are 10–20 hours per week during active phases, with compensation up to $90/hour depending on level and pace.