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
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🔒 - Security
Unknown
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📍 - 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.