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Python Developer

Perfict Global, Inc.

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
Vacancy posted 5 days ago
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