Python Developer

Python DeveloperExperience: 4+yrsClient: TeslaVisa: OPT, USC, GCEAD, GC, H4EAD, TNLocation: Fremont, CADuties/Day to Day OverviewDesign, develop, and maintain AI-driven applications and services using Python and modern machine learning frameworksWrite clean, efficient, and scalable code with a strong focus on algorithms, data structures, and performance optimizationBuild and optimize data pipelines for training, validating, and deploying machine learning models at scaleCollaborate with data scientists, ML engineers, and product teams to translate business requirements into robust AI solutionsImplement best practices in software engineering, testing, and version control to ensure high-quality deliverablesOptimize AI/ML workloads for speed and scalability across distributed computing environmentsStay current with advancements in AI, ML, and deep learning technologies, bringing innovative solutions into production systemsTop Requirements(Must haves)3+ years of hands on experienceProven experience as a Python Developer with hands-on expertise in building production-grade applicationsHands-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-learnProficiency in data handling and manipulation using libraries like NumPy and PandasExperience with SQL databases for managing and accessing training dataKnowledge of model deployment and scaling in enterprise or cloud environments (AWS, Azure, or GCP)Familiarity with containerization and orchestration (Docker, Kubernetes) for AI/ML workloads (preferred)Strong debugging, optimization, and performance-tuning skills for both code and AI modelsKey Focus AreasPython Development: Core programming language for AI/ML applicationsAI/ML Frameworks: TensorFlow, PyTorch, Scikit-learnData Pipelines: ETL, preprocessing, and feature engineering for large datasetsSQL Databases: Schema design, query optimization, and handling structured dataEnterprise-Scale AI: Building secure, reliable, and scalable AI solutionsHands-On Programming: Strong coding discipline with emphasis on maintainability and performanceCloud & Deployment (Preferred): AWS/GCP/Azure, Docker, Kubernetes