SGS Consulting
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with 5+ years of experience in ML pipeline design and deployment. Contract length is unspecified, pay rate is competitive, and work is remote. Must have full stack experience, proficiency in Python, SQL, and PHP.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
920
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🗓️ - Date
January 20, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
-
📍 - Location detailed
United States
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🧠 - Skills detailed
#PHP #Statistics #Deployment #Data Exploration #AI (Artificial Intelligence) #Python #ML (Machine Learning) #Computer Science #SQL (Structured Query Language) #Data Pipeline
Role description
Only Open for the Candidates who are open to work on W2 (No C2C/1099).
Summary:
Apply expertise in Machine Learning, AI, statistics, data exploration, and analysis in leveraging internal operations data to solve critical problems for multiple legal teams. ML Engineer with 5+ years of experience in design, deployment, and maintenance of ML Pipelines.
Qualification
• Master's/Bachelor's in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in the design, deployment and maintenance of Machine learning pipelines and systems.
• Demonstrable experience in applying Machine Learning algorithms to solve real-world problems
• 5+ years of experience in design, deployment, and maintenance of large data pipelines.
Top 3 Must-Have HARD Skills
• Full Stack Experience.
• Python, SQL, PHP.
• Machine Learning and AI Domain Expertise.
Good To Have Skills
• Built machine learning models end to end.
• MAANG experience would be appreciated (or Big-Tech).
Only Open for the Candidates who are open to work on W2 (No C2C/1099).
Summary:
Apply expertise in Machine Learning, AI, statistics, data exploration, and analysis in leveraging internal operations data to solve critical problems for multiple legal teams. ML Engineer with 5+ years of experience in design, deployment, and maintenance of ML Pipelines.
Qualification
• Master's/Bachelor's in Computer Science, Math, Physics, Engineering, Statistics, or a related quantitative field.
• 5+ years of experience in the design, deployment and maintenance of Machine learning pipelines and systems.
• Demonstrable experience in applying Machine Learning algorithms to solve real-world problems
• 5+ years of experience in design, deployment, and maintenance of large data pipelines.
Top 3 Must-Have HARD Skills
• Full Stack Experience.
• Python, SQL, PHP.
• Machine Learning and AI Domain Expertise.
Good To Have Skills
• Built machine learning models end to end.
• MAANG experience would be appreciated (or Big-Tech).
