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# Airflow ML Engineer

- **Company:** OpenKyber LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Extract Transform Load (ETL), Data Transformation, Data Structures, Software Debugging, Distributed Systems, Python (Programming Language), Machine Learning, NumPy, Object-Oriented Software Development, Performance Tuning, Query Optimization, Tensorflow, Software Deployment, Software Engineering, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Feature Engineering, Pytorch, Deep Learning, Pandas, Containerization, Scikit Learn, Kubernetes, Machine Learning Operations, Virtual Agents, Software Version Control, Data Pipelines, Docker
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7d1c715f07cfc17f

## About the Role

Do you have experience in Software deployment?, * 5+ years of hands on experience

 * Proven experience as a Python Developer with hands-on expertise in building production-grade applications
 * Must be hands-on with coding and demonstrate strong programming foundations (data structures, algorithms, object-oriented design)
 * Strong background in AI/ML with experience using frameworks such as TensorFlow, PyTorch, or Scikit-learn
 * Proficiency in data handling and manipulation using libraries like NumPy and Pandas
 * Experience with SQL databases for managing and accessing training data
 * Knowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or Google Cloud Platform)
 * Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred)
 * Strong debugging, optimization, and performance-tuning skills for both code and AI models

Key Force Area:

 * Python Development: Core programming language for AI/ML applications
 * AI/ML Frameworks: TensorFlow, PyTorch, Scikit-learn
 * Data Pipelines: ETL, preprocessing, and feature engineering for large datasets
 * SQL Databases: Schema design, query optimization, and handling structured data
 * Enterprise-Scale AI: Building secure, reliable, and scalable AI solutions
 * Hands-On Programming: Strong coding discipline with emphasis on maintainability and performance
 * Cloud & Deployment (Preferred): AWS/Google Cloud Platform/Azure, Docker, Kubernetes

## Description

OpenKyber has a client in Palo Alto, CA that is seeking a Python Developer. Responsibilities:

 * Design, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworks
 * Write clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimization
 * Build and optimize data pipelines for training, validating, and deploying machine learning models at scale
 * Collaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutions
 * Implement best practices in software engineering, testing, and version control to ensure high-quality deliverables
 * Optimize AI/ML workloads for speed and scalability across distributed computing environments
 * Stay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systems


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