Pacer Group

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in Philadelphia, PA, with a contract length of 4 days onsite. Pay ranges from $70-80/hr. Requires 5-7 years of experience, strong skills in Scikit-learn, Python, and PySpark, and expertise in building end-to-end ML models.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
640
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πŸ—“οΈ - Date
March 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Philadelphia, PA
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🧠 - Skills detailed
#Regression #Deployment #Clustering #Programming #PySpark #Data Engineering #Datasets #ML (Machine Learning) #Python #Spark (Apache Spark) #Classification
Role description
Machine Learning Engineer Location: 4 Days Onsite in Philadelphia, PA Experience: 5–7 Years Pay Rate: $70-80/hr About the Role We’re looking for a Machine Learning Engineer who genuinely enjoys playing with technology, experimenting with models, and solving real-world problems using data. If you love building predictive models from scratch, testing ideas, and continuously learning new ML techniques β€” this role is for you. What You’ll Do β€’ Build and deploy predictive machine learning models β€’ Work hands-on with Scikit-learn to develop and optimize ML algorithms β€’ Use Python for model development and experimentation β€’ Work with large datasets using PySpark β€’ Stay updated with new ML trends and technologies Must-Have Skills β€’ Strong experience with Scikit-learn β€’ Solid programming skills in Python β€’ Hands-on experience with PySpark β€’ Experience building end-to-end ML models (data prep β†’ training β†’ evaluation β†’ deployment) β€’ Good understanding of ML concepts (regression, classification, clustering, model tuning) What We’re Looking For β€’ 5–7 years of experience in Machine Learning / Data Engineering β€’ Strong analytical mindset β€’ Someone who enjoys experimenting and learning new technologies β€’ Self-driven, curious, and solution-oriented β€’ Comfortable working in a fast-paced environment