Freelance Machine Learning Engineer

## About the Role As a Freelance Machine Learning Engineer at Mindrift, you will be part of a dynamic team working on diverse projects that drive innovation in AI and machine learning. Your primary focus will be on designing and developing computational STEM problems that simulate real scientific workflows, leveraging your expertise in Python programming and data analysis. You will work closely with cross-functional teams to ensure the successful execution of projects, collaborating with specialists in AI, data science, and software development.

The role entails a deep understanding of algorithms, methods, and their practical applications, as well as expertise in statistical analysis and machine learning. You will be responsible for verifying solutions using Python with standard libraries and documenting problem statements clearly. Your work will have a significant impact on the development of AI systems, and you will have the opportunity to contribute to the growth and success of Mindrift's clients.

Mindrift's approach to machine learning engineering is centered around project-based work, allowing contributors to work on a wide range of tasks and projects. This flexibility enables you to expand your skill set, explore new areas of interest, and develop a strong portfolio of completed projects.

## What You Will Do - Design original computational STEM problems that simulate real scientific workflows - Create problems that require Python programming to solve, ensuring they are computationally intensive and cannot be solved manually within reasonable timeframes - 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 - Collaborate with cross-functional teams to ensure successful project execution - Participate in the development of AI systems, focusing on testing, evaluating, and improving their performance - Contribute to the growth and success of Mindrift's clients through high-quality project delivery - Stay up-to-date with the latest advancements in machine learning, AI, and data science, applying this knowledge to drive project success - Work closely with project managers to ensure timely and within-budget project completion

## What We Are Looking For - 5+ years of hands-on machine learning 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, methods, and their practical applications - Expertise in 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+)

## Nice to Have - Experience working with cloud-based platforms (AWS, Azure, Google Cloud) - Familiarity with Agile development methodologies and version control systems (Git) - Participation in open-source projects or personal projects related to machine learning and AI - Certification in machine learning or a related field (e.g., Stanford CS229, Microsoft AZ-220)

## Benefits and Perks - Competitive hourly rate (up to $58 per hour equivalent) - Opportunity to work on diverse and challenging projects - Flexible working hours and remote work arrangements - Access to a network of professionals in the AI and machine learning field - Professional development opportunities through training and mentorship - Recognition and rewards for outstanding performance - Health and wellness programs to support work-life balance - Paid time off and holidays to recharge and relax

- To stand out in your application, make sure your portfolio showcases a range of projects that demonstrate your expertise in machine learning and AI.

• Familiarize yourself with Mindrift's project-based approach and be prepared to discuss your experience working on similar projects.
• Highlight your proficiency in Python, SQL, and data analysis, as these skills are essential for success in this role.
• Be prepared to discuss your understanding of algorithms, methods, and their practical applications, as well as your experience with GenAI technologies.
• When negotiating your hourly rate, consider factors such as your level of experience, the complexity of the project, and the going rate for freelance machine learning engineers in the industry.
• Be cautious of projects with unclear or unrealistic expectations, and ensure that you have a clear understanding of the project scope, timeline, and deliverables before committing to a project.
• Use online platforms and resources to stay up-to-date with the latest developments in machine learning and AI, and be prepared to apply this knowledge to drive project success.