Machine Learning & Model Development
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning & Model Development contractor for 6 months at a pay rate of "X" per hour. Key skills include Python, PySpark, SQL, R, and experience in healthcare data analysis.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
August 27, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Unknown
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Data Management #Spark (Apache Spark) #Databricks #Regression #Spark SQL #Logistic Regression #ML (Machine Learning) #Version Control #R #SageMaker #SQL (Structured Query Language) #Docker #MLflow #Deployment #PySpark #GitHub #Data Analysis #Python #SQL Queries #SAS
Role description
Key Responsibilities:
• Develop and engineer machine learning models using Python, PySpark, SQL, and R.
• Utilize Databricks and Amazon SageMaker for model development and deployment.
• Create complex SQL queries for data analysis and testing.
• Develop machine learning pipelines and manage ML Operations.
• Perform model tuning and ensure adherence to model governance standards.
• Collaborate with engineering teams to source and evaluate data.
• Apply logistic regression and statistical theory in data analysis.
• Work with MLFlow, GitHub, and Docker for version control and containerization.
• Engage in healthcare and claims data analysis for insights.
• Utilize SAS for statistical analysis and data management.
Key Responsibilities:
• Develop and engineer machine learning models using Python, PySpark, SQL, and R.
• Utilize Databricks and Amazon SageMaker for model development and deployment.
• Create complex SQL queries for data analysis and testing.
• Develop machine learning pipelines and manage ML Operations.
• Perform model tuning and ensure adherence to model governance standards.
• Collaborate with engineering teams to source and evaluate data.
• Apply logistic regression and statistical theory in data analysis.
• Work with MLFlow, GitHub, and Docker for version control and containerization.
• Engage in healthcare and claims data analysis for insights.
• Utilize SAS for statistical analysis and data management.
