AI Infrastructure Engineer

Jobs Details Python Developer Locals only/out of area/ remote? Fremont, CA must be onsite 5 days a week Visa Restrictions? None Interview Type- video, phone, in person? In person interview, must be local Duration: 6 Months contract 3-5 Must Have s: Top Requirements 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 Experience with SQL databases for managing and accessing training data * 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 and Deployment (Preferred): AWS/Google Cloud Platform/Azure, Docker, Kubernetes

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