Python Machine Learning Engineer

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect skilled professionals with opportunities to help shape cutting-edge artificial intelligence and support long-term growth through a strong, portable AI-work profile.

About AI Training and Machine Learning Work

AI training is the human side of building modern artificial intelligence. Engineers, data scientists, and other specialists help create the data, models, evaluation systems, and production workflows that make AI systems more capable and reliable.

• Work remotely with a computer and internet connection
• Contribute to fast-moving, cutting-edge AI development
• Build experience that can support a longer-term career in AI training and machine learning

The Role

OpenTrain AI is seeking a Python Machine Learning Engineer to design, develop, and deliver advanced machine learning solutions for real-world business needs. You will work across the full development lifecycle, from data pipelines and model design through deployment, monitoring, and ongoing optimization.

The role combines hands-on engineering with technical leadership. You will help set direction, mentor team members, and align machine learning initiatives with business goals and measurable success criteria.

• Contractor, part-time remote assignment
• Contract duration: three months
• Available schedules: 20, 30, or 40 hours per week
• Minimum commitment: 20 hours per week
• At least four hours per day and four hours of overlap with Pacific Time required

What You'll Do

You will own end-to-end data science and machine learning solution development, translating business objectives into robust architectures that capture relevant logic and context. You will collaborate with product, engineering, and business stakeholders to define problem statements and measurable success metrics.

• Build and manage data pipelines, model architectures, deployments, and monitoring systems
• Evaluate and optimize models for accuracy, performance, scalability, and practical production use
• Apply supervised and unsupervised learning, time-series forecasting, natural language processing, computer vision, and statistical modeling where appropriate
• Select suitable models for real-world use cases
• Stay current with machine learning research, methods, technologies, and frameworks
• Provide technical direction and mentor team members

Required Qualifications

Candidates must have a bachelor's or master's degree in computer science, machine learning, artificial intelligence, statistics, or a related quantitative field, along with at least four years of hands-on data science or machine learning development experience.

• Strong Python expertise
• Practical experience with Pandas, NumPy, and Scikit-learn
• Knowledge of data preprocessing and feature engineering
• Experience with model tuning and evaluation metrics
• Ability to design production-grade machine learning systems
• Ability to apply appropriate models to real-world problems

Helpful Background

The following experience is valuable for this assignment and may help you contribute across a broader range of machine learning projects.

• Deep learning architectures, including convolutional neural networks, recurrent neural networks, or transformers
• PySpark, Databricks, AWS, or other cloud data platforms
• Machine learning competitions, benchmarks, or research evaluation
• Applying relevant machine learning innovations to practical problems
• Experience in forecasting, natural language processing, computer vision, or statistical modeling

Who Can Apply

This assignment is open to candidates located in India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, or Mexico. English is the listed working language.

• India
• Pakistan
• Nigeria
• Kenya
• Egypt
• Ghana
• Bangladesh
• Turkey
• Mexico

Build Your AI Career with OpenTrain

OpenTrain helps professionals discover and grow through AI training and data-labeling work. Create a free profile to present your experience, find projects that match your skills, and build a credible portfolio in one of technology's fastest-growing fields.