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- Title: Python Developer Location: Fremont, CA must be onsite 5 days a week Duration: 6 -12 month, with extension or conversion Interview: In person Friday 03/27 between 10-5pm or Wednesday 04/01 between 10-5pm - please provide your availability. Duties:
- 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.
- 3 years of hands on experience
- Proven experience as a Python Developer with hands-on expertisein 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
- 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