Crossing Hurdles

Machine Learning Engineer | Remote

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a remote contract basis, offering $30 - $130/hour for 10-40 hrs/week. Key skills include expertise in machine learning algorithms, Python/Java programming, AWS, CI/CD, and Kubernetes experience is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
1040
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🗓️ - Date
June 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Kubernetes #Java #Data Science #ML (Machine Learning) #Automation #Cloud #Deployment #Model Deployment #Python #AI (Artificial Intelligence) #Data Pipeline #Programming #Scala
Role description
Position: AI Engineer Type: Contract Compensation: $30 - $130/hour Location: Remote Commitment: 10-40 hrs/week Role Responsibilities • Design, build, and optimize robust machine learning models for production environments. • Implement and automate end-to-end ML pipelines using CI/CD best practices. • Leverage AWS services for scalable AI infrastructure and model deployment. • Orchestrate containerized workloads using Kubernetes to ensure high availability and seamless scalability. • Collaborate with data scientists, engineers, and researchers to translate complex business problems into actionable ML solutions. • Evaluate, preprocess, and frame real-world data problems for effective machine learning applications. Requirements • Have proven expertise in machine learning algorithms, model development, and deployment. • Possess strong programming skills, ideally in Python or Java, with experience in large-scale software engineering projects. • Have in-depth experience with CI/CD workflows and automation tools. • Have hands-on expertise with AWS cloud services for ML applications and data pipelines. • Have advanced knowledge of Kubernetes for orchestrating containerized ML workloads. Application Process • Easy Apply on LinkedIn • Check email for next steps • Participate in resume evaluation & interview stage