

Signature IT World Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a W2 contract for remote work, requiring 3+ years of experience with Python, TensorFlow, and PyTorch. Key skills include data preprocessing, automation, and collaboration; networking knowledge is preferred. Pay rate is unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 19, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#ML (Machine Learning) #Automation #AI (Artificial Intelligence) #Python #PyTorch #Security #Process Automation #TensorFlow
Role description
Role: ML engineer
Location: Remote
Type: W2 Contract only
JOB DESCRIPTION
Min 3+ years of hands-on experience in the below mentioned technologies.
Technical Skills
• Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama).
• Knowledge of data preprocessing, feature engineering, and fine-tuning ML models.
• Familiarity with RESTful APIs for interacting with third-party tools and services.
• Experience in developing scripts or tools for process automation.
Problem-Solving Skills
• Strong ability to identify inefficiencies in workflows and propose automated solutions.
• Analytical skills to evaluate the performance of automated tools and pipelines.
Communication and Collaboration
• Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals.
• Strong written and verbal communication skills to document workflows and tools clearly.
Optional Skills (Preferred but not mandatory):
• Domain knowledge in networking technologies (e.g., routing, switching, security).
• Experience with MLOps tools and infrastructure.
Role: ML engineer
Location: Remote
Type: W2 Contract only
JOB DESCRIPTION
Min 3+ years of hands-on experience in the below mentioned technologies.
Technical Skills
• Proficiency in Python and experience with machine learning and AI frameworks (e.g., TensorFlow, PyTorch, VLLM, Llama).
• Knowledge of data preprocessing, feature engineering, and fine-tuning ML models.
• Familiarity with RESTful APIs for interacting with third-party tools and services.
• Experience in developing scripts or tools for process automation.
Problem-Solving Skills
• Strong ability to identify inefficiencies in workflows and propose automated solutions.
• Analytical skills to evaluate the performance of automated tools and pipelines.
Communication and Collaboration
• Effective collaboration skills to work with cross-functional teams and ensure alignment on project goals.
• Strong written and verbal communication skills to document workflows and tools clearly.
Optional Skills (Preferred but not mandatory):
• Domain knowledge in networking technologies (e.g., routing, switching, security).
• Experience with MLOps tools and infrastructure.






