Senior ML Engineer - Part-Time, Project-Based (Python/GenAI)

Mindrift; Iowa (LA); On-site; USD 83,000 - 124,000; Part time

Job summary

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment. For this project, contributors design STEM problems, write Python code, and verify solutions using Numpy/Pandas/Scipy/scikit-learn, while documenting statements and providing verified answers.

Qualifications

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

Responsibilities

• Design original computational STEM problems that simulate real scientific workflows.
• Create problems that require Python programming to solve.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks).
• Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches.
• Verify solutions using Python with standard libraries (Numpy, Pandas, Scipy, scikit-learn).
• Document problem statements clearly and provide verified correct answers.

Skills

Python

Pandas

NumPy

SciPy

scikit-learn

Statsmodels

SQL

GenAI

LLMs

Prompt engineering

Vector databases

MLOps

TensorFlow

PyTorch

LangChain

English writing

Job description

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.

Participation is project-based, not permanent employment. For this project, contributors design STEM problems, write Python code, and verify solutions using Numpy/Pandas/Scipy/scikit-learn, while documenting statements and providing verified answers.