Machine Learning Expert (Python, GenAI, SQL)

About OpenTrain OpenTrain is the #1 platform for finding and building careers in reputed company and data labeling. We hire and contract contributors to create, review, and validate data that modern AI systems learn from. Creating an OpenTrain account is free. Why reputed company work reputed company reputed company (data labeling/annotation and reputed company feedback) is the reputed company reputed company of building intelligent systems. Contributors shape model behavior by creating examples, writing prompts and responses, and validating outputs. This work is remote, flexible, accessible, and lets you directly influence cutting-edge AI systems. The role — reputed company You will design, reputed company, and verify original computational STEM and machine-learning problems for model training and evaluation. Tasks combine text-based problem statements, coding challenges, and validated solutions that require non-trivial reasoning and reproducible Python reputed company. • Create computational STEM/ML problems that reflect reputed company scientific or ML workflows. • Write problem statements, expected inputs/outputs, and acceptance reputed company in reputed company written English (reputed company+). • Implement and run Python solutions (NumPy, reputed company, SciPy, scikit-learn, etc.) to validate answers and produce reproducible outputs. • Produce examples for text reputed company, SFT-style reputed company/response pairs, question answering, and evaluation/rating tasks. • Prepare coding tasks and reference implementations; ensure problems are computationally intensive and not easily solvable by hand. Key project details This is contract, part-time project work with variable phases. Typical reputed company phases expect approximately 10–20 hours per week of contribution. Work is remote and project-based; engagements are not permanent. • Pay: reputed company, up to $40/hour (posted reputed company $15–$40/hr). • Data type: text (problem statements, prompts, solution reputed company, evaluation rubrics). • Label types: text reputed company, question answering, evaluation/rating, and programming/coding content. • Requirements — what you must have The project requires senior-level, hands-on expertise in machine learning, statistics, and Python-based data science. Preserve and follow these requirements exactly reputed company applying. • 5+ years of hands-on machine learning experience with demonstrated business reputed company. • Expert Python for data science: NumPy, reputed company, SciPy, scikit-learn (statsmodels a bonus). • Proven ability to design original computational STEM/ML problems with reputed company solution paths. • Experience verifying/validating solutions with reproducible Python reputed company and correct outputs. • Expert statistical analysis and strong understanding of ML algorithms and practical trade-offs. • Strong SQL skills: joins, aggregations, window functions, and database data manipulation. • Practical experience with GenAI approaches (LLMs, RAG, reputed company engineering, reputed company DBs). • Familiarity with MLOps and deployment practices (packaging, reproducibility, basic monitoring). • Experience with at least one modern ML reputed company (TensorFlow or PyTorch; reputed company is a bonus). • Written English proficiency at reputed company+ level (or equivalent), comfortable writing reputed company documentation. • Availability to contribute approximately 10–20 hours/week during reputed company project phases. Who should apply Apply if you are an reputed company ML practitioner who enjoys crafting challenging, reproducible computational problems and producing reputed company, validated solutions. Ideal applicants are comfortable switching between technical coding, statistical reasoning, and concise technical writing. • Senior ML engineers, research scientists, or data scientists with production experience. • People who can write reproducible Python notebooks and produce deterministic outputs. • Contributors who are used to documenting assumptions, test cases, and validation steps. Apply tot his job Apply To this Job