Innovum

AI Python Developer Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Python Developer Data Engineer with a contract length of "unknown," offering a pay rate of "unknown," located "remote." Key skills include Python, AI/ML workflows, APIs, CI/CD, and AWS. Requires a Bachelor's degree and 3+ years of relevant experience.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
Unknown
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πŸ—“οΈ - Date
January 14, 2026
πŸ•’ - Duration
Unknown
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🏝️ - Location
Unknown
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πŸ“„ - Contract
Unknown
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πŸ”’ - Security
Unknown
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πŸ“ - Location detailed
San Diego, CA
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🧠 - Skills detailed
#AWS (Amazon Web Services) #Scala #DevOps #PyTorch #Libraries #Computer Science #Data Engineering #Kubernetes #SageMaker #Data Pipeline #Cloud #Data Access #Lambda (AWS Lambda) #Docker #Automation #ML (Machine Learning) #Python #Athena #Model Deployment #AI (Artificial Intelligence) #Data Processing #Deployment #TensorFlow
Role description
Job Title: Python Developer / Data Engineer – AI Tools & Platforms Job Description: The Developer on the AI Tools & Platforms team will design, build, and maintain internal tools and frameworks that accelerate AI/ML research and development across the organization. This role focuses on creating reusable and scalable components, enabling rapid prototyping, data engineering support, and supporting production integration of AI/ML models. The developer will collaborate closely with product teams, AI/ML teams, data teams, DevOps engineers, and business SMEs to ensure seamless integration and operational excellence. Key Responsibilities: β€’ Develop Python-based internal tools that simplify experimentation, data access, and model iteration. β€’ Create reusable Python frameworks for rapid prototyping of analytics and AI/ML workflows. β€’ Create and support model inference services. β€’ Support Proof of Concept (POC) projects with custom Python utilities for fast validation. β€’ Collaborate with AI/ML engineers for data engineering support. β€’ Partner with DevOps and data pipeline teams for smooth production integration. β€’ Document and share best practices, reusable components, and patterns for AI/ML development. β€’ Collaboration with international development teams Required Skills: β€’ Proficiency in Python, including experience with libraries for data processing and automation. β€’ Familiarity with AI/ML workflows, including data preprocessing and model deployment. β€’ Experience building APIs, SDKs, or internal tools for data and model access using Python. β€’ Knowledge of CI/CD pipelines and containerization (e.g., Docker, Kubernetes). β€’ Understanding of cloud platforms (AWS) and scalable infrastructure. β€’ Excellent communication skills with the ability to clearly articulate technical concepts and collaborate effectively. Preferred Skills: β€’ Experience with experiment tracking systems and data versioning. β€’ Exposure to ML frameworks (TensorFlow, PyTorch) and analytics tools. β€’ Experience with relevant AWS services (Fargate, Lambda, Glue, Athena, SageMaker) β€’ Ability to work creatively on loosely defined specifications. β€’ Ability to work collaboratively across teams and communicate technical concepts clearly. Education & Experience: β€’ Bachelor’s degree in Computer Science, Software Engineering, or related field. β€’ 3+ years of software development experience, preferably in AI/ML or data engineering environments.