Airflow ML Engineer

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

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

Pulled from the full job description

• AD&D insurance
• 401(k)
• Health insurance
• Paid time off
• Vision insurance
• Health savings account
• Dental insurance, The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in OpenKyber’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.