

Compunnel Inc.
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, 100% remote in the U.S., with a 12+ month contract. Requires 5+ years of experience, expertise in LLMs, Python proficiency, and familiarity with cloud ML tools. Customer support automation experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
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🧠 - Skills detailed
#API (Application Programming Interface) #AWS (Amazon Web Services) #Scala #Data Analysis #Automation #Databases #Python #ML (Machine Learning) #Cloud #AI (Artificial Intelligence) #Azure #Deployment #Model Evaluation #GCP (Google Cloud Platform) #Programming #Data Pipeline
Role description
Job Title: Machine Learning Engineer
Location: 100% Remote (U.S.)
Duration:12+ Months
Position Overview:
We are seeking an experienced Machine Learning Engineer with a strong background in Large Language Models (LLMs) and Python programming. The ideal candidate will have hands-on experience building AI-driven solutions that enhance and troubleshoot customer experiences across internet and product ecosystems.
Key Responsibilities:
• Design, develop, and deploy AI and ML models focused on improving customer experience and support automation.
• Build and fine-tune LLMs for various use cases related to troubleshooting and knowledge automation.
• Integrate models with applications through APIs and optimize for scalability and performance.
• Collaborate with cross-functional teams to understand data needs and deliver machine learning solutions.
• Continuously improve model accuracy, reliability, and interpretability using feedback loops and data analysis.
Required Skills & Qualifications:
• 5+ years of professional experience as a Machine Learning Engineer or similar role.
• Strong expertise in Large Language Models (LLMs) — must have hands-on implementation experience.
• Proficiency in Python for model development and API integration.
• Strong understanding of data pipelines, model training, and deployment in production environments.
• Experience with cloud-based ML tools and frameworks (AWS, Azure, GCP preferred).
• Excellent problem-solving and communication skills.
Preferred Qualifications:
• Experience in customer service, support automation, or product troubleshooting AI solutions.
• Familiarity with vector databases, prompt engineering, and model evaluation techniques.
Job Title: Machine Learning Engineer
Location: 100% Remote (U.S.)
Duration:12+ Months
Position Overview:
We are seeking an experienced Machine Learning Engineer with a strong background in Large Language Models (LLMs) and Python programming. The ideal candidate will have hands-on experience building AI-driven solutions that enhance and troubleshoot customer experiences across internet and product ecosystems.
Key Responsibilities:
• Design, develop, and deploy AI and ML models focused on improving customer experience and support automation.
• Build and fine-tune LLMs for various use cases related to troubleshooting and knowledge automation.
• Integrate models with applications through APIs and optimize for scalability and performance.
• Collaborate with cross-functional teams to understand data needs and deliver machine learning solutions.
• Continuously improve model accuracy, reliability, and interpretability using feedback loops and data analysis.
Required Skills & Qualifications:
• 5+ years of professional experience as a Machine Learning Engineer or similar role.
• Strong expertise in Large Language Models (LLMs) — must have hands-on implementation experience.
• Proficiency in Python for model development and API integration.
• Strong understanding of data pipelines, model training, and deployment in production environments.
• Experience with cloud-based ML tools and frameworks (AWS, Azure, GCP preferred).
• Excellent problem-solving and communication skills.
Preferred Qualifications:
• Experience in customer service, support automation, or product troubleshooting AI solutions.
• Familiarity with vector databases, prompt engineering, and model evaluation techniques.






