About the job
We invite you to submit your CV in English, clearly indicating your proficiency level.
At Mindrift, we bridge the gap between talented specialists and exciting project-based AI opportunities with top-tier tech companies. Our focus lies in assessing, testing, and enhancing AI systems. Please note that this is a project-based engagement rather than permanent employment.
Key Responsibilities:
- Craft innovative computational STEM problems that effectively simulate genuine scientific processes.
- Develop problems requiring Python programming for solutions.
- Design problems that demand substantial computational resources, making manual solutions impractical within a reasonable timeframe.
- Formulate challenges necessitating complex reasoning and creative problem-solving strategies.
- Utilize Python and its standard libraries (Numpy, Pandas, Scipy, scikit-learn) to verify solutions.
- Clearly document problem statements and provide validated correct answers.
Desired Qualifications:
This role is ideal for machine learning specialists with significant Python experience, interested in part-time, non-permanent projects. The ideal candidate will possess:
- A minimum of 5 years of practical machine learning experience demonstrating tangible business impact.
- A portfolio showcasing completed projects and publications that highlight real-world problem-solving expertise.
- Advanced proficiency in Python for data science, including libraries such as pandas, numpy, scipy, scikit-learn, and statsmodels.
- In-depth knowledge of statistical analysis and machine learning algorithms, methods, and their real-world applications.
- Proficiency in SQL and database operations for effective data manipulation and analysis.
- Familiarity with GenAI technologies (LLMs, RAG, prompt engineering, vector databases).
- An understanding of MLOps practices and model deployment workflows.
- Experience with modern frameworks such as TensorFlow, PyTorch, and LangChain.
- Strong written English skills (C1+).
How to Get Involved:
Simply apply, pass the necessary qualifications, join a project, complete your tasks, and receive your payment.
Project Time Commitment:
During active project phases, tasks are estimated to require approximately 10–20 hours per week, contingent on specific project demands. Please note that this is an estimate and not a guaranteed workload.
Compensation:
Contributors may earn up to $55 per hour, depending on their skill level and contribution pace. Compensation varies across projects based on scope, complexity, and required expertise. Be aware that other projects available on the platform may offer different earning potentials based on their specifications.