Sadup Softech
LLM – Python for Machine Learning
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an LLM – Python for Machine Learning contractor in the USA, requiring 4+ years of experience. Pay rate and contract length are unspecified. Key skills include expert Python proficiency, data structures, algorithms, and experience with ML/DS and cloud environments.
🌎 - Country
United States
💱 - Currency
Unknown
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💰 - Day rate
Unknown
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🗓️ - Date
December 6, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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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
#Cloud #Data Processing #Libraries #Computer Science #Pandas #Python #Data Pipeline #FastAPI #GCP (Google Cloud Platform) #AI (Artificial Intelligence) #NumPy #ML (Machine Learning) #AWS (Amazon Web Services) #Azure
Role description
USA
Contract
Exp: 4+ yrs
Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
Design and maintain modular, clean, and production-ready Python codebases.
Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
Stay current with modern Python tools, frameworks, and best practices.
Required Qualifications
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
Deep understanding of data structures, algorithms, and problem-solving at scale.
Experience with system design, clean architecture, and performance optimization.
Working level Proficiency in ML/DS
Preferred Qualifications
Strong experience with distributed systems, APIs, or data processing pipelines.
Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows.
Experience in open-source contributions or building developer tools.
Comfort working in fast-paced, research-driven environments.
Interested candidates please send your cv to hr@sadupsoft.com
USA
Contract
Exp: 4+ yrs
Build, test, and optimize high-performance Python systems used in large-scale AI and data pipelines.
Design and maintain modular, clean, and production-ready Python codebases.
Collaborate with cross-functional teams (data, infra, and research engineers) to deliver reliable backend components.
Write efficient, maintainable, and testable code with strong focus on algorithms and data structures.
Stay current with modern Python tools, frameworks, and best practices.
Required Qualifications
Bachelor’s or Master’s in Computer Science, Software Engineering, or a related field.
Expert-level proficiency in Python and core libraries (Pandas, NumPy, AsyncIO, FastAPI, or similar).
Proven track record on coding platforms — e.g., top percentile or strong rating on LeetCode, Codeforces, HackerRank, or Kaggle competitions.
Deep understanding of data structures, algorithms, and problem-solving at scale.
Experience with system design, clean architecture, and performance optimization.
Working level Proficiency in ML/DS
Preferred Qualifications
Strong experience with distributed systems, APIs, or data processing pipelines.
Familiarity with cloud environments (AWS, GCP, or Azure) and CI/CD workflows.
Experience in open-source contributions or building developer tools.
Comfort working in fast-paced, research-driven environments.
Interested candidates please send your cv to hr@sadupsoft.com
