Python Developer

Position : Python Developer Experience : 4+yrs Client : Tesla Visa : OPT, USC, GCEAD, GC, H4EAD, TN Location : Fremont, CA Duties/Day to Day Overview • 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 Top Requirements (Must haves) 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 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 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/GCP/Azure, Docker, Kubernetes