Voto Consulting LLC

Python Developer (Only W2 Contract)

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Python Developer (AI/ML) with 7+ years of experience, based in Columbus, OH, for a W2 contract. Key skills include ML/AI, Python, Spark/PySpark, and AWS. On-site work required, targeting an immediate start.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
March 19, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
On-site
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πŸ“„ - Contract
W2 Contractor
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
Columbus, OH
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🧠 - Skills detailed
#AI (Artificial Intelligence) #ML (Machine Learning) #Spark (Apache Spark) #Data Engineering #Terraform #PySpark #Python #Databricks #Cloud #Agile #Automation #Security #AWS (Amazon Web Services) #Data Science
Role description
Job Title :- Python Engineer (AI/ML) OR Data Engineer with AI/ML OR Data Science (AI/ML) Experience Needed :- Minimum 07+ Years Job Locations :- Columbus, OH Work Mode :- 05 Days On-Site Mode of Interviews :- Virtual Candidate Location :- Locals needed but relocation will also work. Employment Type :- Contract Target Start Date / Urgency to Fill Role :- As early as possible, interviews are going on. Must Have: ML/AI, Python , Spark/PySpark, AWS Nice to: Databricks, Terraform Role Summary β€’ Formal training or certification on Software Engineering concepts and 5+ years applied experience. β€’ Hands-on with building AI agents and Machine learning. β€’ Hands-on practical experience delivering system design, application development, testing, and operational stability. β€’ Strong hands-on coding capabilities in languages / platforms such as PySpark / Python / Databricks. β€’ Proficiency in automation and continuous delivery methods. β€’ Proficient in all aspects of the Software Development Life Cycle. β€’ Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security. β€’ Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.). β€’ In-depth knowledge of the financial services industry and their IT systems.