drjobs Python AI Developer ____ San Jose, CA (Onsite) ___ Contract

Python AI Developer ____ San Jose, CA (Onsite) ___ Contract

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Job Location drjobs

San Jose, CA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

LOCALS - Hihgly Preferred
Job Title: Python AI Developer
Location: San Jose CA (Onsite Day 1)
Duration: Contract
Job Description
We are seeking a highly skilled Python AI Developer to join our clients team in San Jose CA. The ideal candidate will have strong expertise in Python programming AI/ML frameworks and model deployment with hands-on experience in building and scaling AI-driven applications. This is an onsite contract role requiring close collaboration with cross-functional teams including data scientists ML engineers and product owners.
Key Responsibilities
  • Design develop and optimize AI/ML models using Python and modern frameworks.
  • Build and maintain data pipelines for training and inference.
  • Collaborate with data scientists to translate research prototypes into production-ready solutions.
  • Develop APIs and microservices to integrate AI capabilities into applications.
  • Optimize models for performance scalability and efficiency in production.
  • Work on end-to-end ML lifecycle including data preprocessing model training testing and deployment.
  • Debug monitor and improve deployed AI/ML systems.
Required Skills
  • Strong expertise in Python (data structures OOP performance tuning).
  • Hands-on experience with AI/ML frameworks: TensorFlow PyTorch Scikit-learn.
  • Solid understanding of machine learning concepts model development and deployment.
  • Experience with data manipulation (Pandas NumPy) and large-scale data processing.
  • Familiarity with cloud platforms (AWS GCP or Azure) for AI/ML workloads.
  • Experience with REST APIs Flask/FastAPI or microservices architecture.
  • Strong problem-solving and debugging skills.
Good to Have
  • Experience with NLP Computer Vision or Generative AI (LLMs).
  • Exposure to MLOps tools (MLflow Kubeflow Airflow Docker Kubernetes).
  • Knowledge of CI/CD pipelines for ML applications.

Employment Type

Full-time

Company Industry

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