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# Streaming ML Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, 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 Engineering, SQL Databases, Data Streaming, 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=e9cdc8511297a4b3

## About the Role

Day-to-Day: 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 practi ces 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 Top Requirements 3+ 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 Focus Areas 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



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