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
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* 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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