Machine Learning Engineer, Mid-Level (Remote)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Mid-Level Machine Learning Engineer (Remote) for a 6-month contract, offering a pay rate of "$X/hour." Key skills include strong Python, Docker experience, and applied machine learning expertise. Detail-oriented and analytical problem-solving abilities are essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 13, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Docker #AI (Artificial Intelligence) #Compliance #Data Processing #ML (Machine Learning) #Python #Automation
Role description
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Crossing Hurdles is a recruitment firm that connects top candidates with leading AI research labs. They are seeking a Machine Learning Engineer to draft and implement plans for machine learning tasks, validate implementations, and apply benchmarking best practices.
Responsibilities:
• Draft detailed, executable natural-language plans to address machine learning–related Kaggle competition tasks.
• Implement these plans in Python within a provided Docker environment.
• Validate implementations against the original plans and identify discrepancies.
• Apply reproducibility and benchmarking best practices to evaluate AI model development pipelines.
• Work independently while adhering to compliance and quality standards.
Qualifications:
Required:
• Strong professional experience in applied machine learning or MLE roles.
• Strong Python skills for model training, data processing, and automation.
• Experience with Docker-based development workflows.
• Proven ability to design and implement reproducible ML experiments.
• Detail-oriented, analytical approach to problem-solving.
Company:
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals. Founded in 2022, the company is headquartered in , with a team of 11-50 employees. The company is currently Early Stage.
Jobright is an AI-powered career platform that helps job seekers discover the top opportunities in the US. We are NOT a staffing agency. Jobright does not hire directly for these positions. We connect you with verified openings from employers you can trust.
Job Summary:
Crossing Hurdles is a recruitment firm that connects top candidates with leading AI research labs. They are seeking a Machine Learning Engineer to draft and implement plans for machine learning tasks, validate implementations, and apply benchmarking best practices.
Responsibilities:
• Draft detailed, executable natural-language plans to address machine learning–related Kaggle competition tasks.
• Implement these plans in Python within a provided Docker environment.
• Validate implementations against the original plans and identify discrepancies.
• Apply reproducibility and benchmarking best practices to evaluate AI model development pipelines.
• Work independently while adhering to compliance and quality standards.
Qualifications:
Required:
• Strong professional experience in applied machine learning or MLE roles.
• Strong Python skills for model training, data processing, and automation.
• Experience with Docker-based development workflows.
• Proven ability to design and implement reproducible ML experiments.
• Detail-oriented, analytical approach to problem-solving.
Company:
At Crossing Hurdles, we specialise in customised recruitment and staffing solutions designed to drive success for businesses and professionals. Founded in 2022, the company is headquartered in , with a team of 11-50 employees. The company is currently Early Stage.
