

Senior AI Python Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI Python Engineer in Alpharetta, Georgia, offering a 6+ month contract at $70-$80/hour (W2 only). Requires 9+ years in Python, cloud expertise (AWS preferred), and experience with distributed systems and containerization.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
640
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ποΈ - Date discovered
August 21, 2025
π - Project duration
More than 6 months
-
ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Alpharetta, GA
-
π§ - Skills detailed
#AWS (Amazon Web Services) #Java #Python #Azure #Docker #AI (Artificial Intelligence) #GCP (Google Cloud Platform) #Scala #Programming #Cloud #Golang #Kubernetes
Role description
Title: Senior AI Python Engineer (W2 ONLY, NO C2C) Location: Alpharetta, Georgia Environment: Hybrid (2 days onsite) Duration: 6+ month contract (possible FTE) Pay: $70-$80/hour W2 ONLY NO C2C
β’
β’ Due to client requirements, US Citizens or GC Holders ONLY
β’
β’ Details We are seeking a highly skilled Engineer to design, develop, and deploy scalable software and AI infrastructure solutions. In this role, you will work closely with a collaborative team of developers, AI specialists, and engineers to build high-performance applications, optimize distributed systems, and support large-scale AI services. The ideal candidate has deep expertise in Python and/or Java, strong cloud infrastructure knowledge, and proven experience delivering robust, production-ready solutions. MINIMUM REQUIREMENTS
9+ years of hands-on programming experience, highly skilled in Python and proficient in Java, Kotlin, or Golang for optimization, profiling, and scalable application development.
Strong expertise with Cloud Platforms (AWS preferred; Azure/GCP also valuable) including serverless architectures, distributed systems, and cloud-native services.
Proven experience in designing, building, and deploying distributed and parallel computing applications with a focus on scalability and high performance.
Proficiency with testing frameworks (Unit, Integration, Component) and methodologies such as TDD/BDD for ensuring quality and reliability of code.
Strong knowledge of containerization and orchestration using Docker, AWS ECS/EKS, or Kubernetes.
Solid foundation in software architecture and design patterns, with ability to write clean, efficient, and maintainable code for AI-driven infrastructure and applications.
Title: Senior AI Python Engineer (W2 ONLY, NO C2C) Location: Alpharetta, Georgia Environment: Hybrid (2 days onsite) Duration: 6+ month contract (possible FTE) Pay: $70-$80/hour W2 ONLY NO C2C
β’
β’ Due to client requirements, US Citizens or GC Holders ONLY
β’
β’ Details We are seeking a highly skilled Engineer to design, develop, and deploy scalable software and AI infrastructure solutions. In this role, you will work closely with a collaborative team of developers, AI specialists, and engineers to build high-performance applications, optimize distributed systems, and support large-scale AI services. The ideal candidate has deep expertise in Python and/or Java, strong cloud infrastructure knowledge, and proven experience delivering robust, production-ready solutions. MINIMUM REQUIREMENTS
9+ years of hands-on programming experience, highly skilled in Python and proficient in Java, Kotlin, or Golang for optimization, profiling, and scalable application development.
Strong expertise with Cloud Platforms (AWS preferred; Azure/GCP also valuable) including serverless architectures, distributed systems, and cloud-native services.
Proven experience in designing, building, and deploying distributed and parallel computing applications with a focus on scalability and high performance.
Proficiency with testing frameworks (Unit, Integration, Component) and methodologies such as TDD/BDD for ensuring quality and reliability of code.
Strong knowledge of containerization and orchestration using Docker, AWS ECS/EKS, or Kubernetes.
Solid foundation in software architecture and design patterns, with ability to write clean, efficient, and maintainable code for AI-driven infrastructure and applications.