What are the responsibilities and job description for the Python with AI (Local CA W2 Only) position at Pacific Consultancy Services?
Role: Python with AI/ML
Location: Fremont, CA Onsite
"In-Person Interview"
Job Description:
Skills: Python-Advanced, REST APIs-Intermediate, AI/ML- Expert, Pytorch/Jax-Intermediate
Location: Fremont, CA (5 Days onsite)
Job Summary:
We are looking for someone with In-depth expertise in Python for high-performance, data-intensive applications, PyTorch, Worked on Rag models. Based in Fremont, California with potential global travel to the clients sites, this position calls for a passionate individual keen on advancing their career in a dynamic environment.
Key Responsibilities:
Design, develop, and implement machine learning models using supervised learning techniques for design support and implementation.
Collaborate with vehicle service and energy service and software teams.
Take ownership of production models ensuring robust alerting systems for
Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to scale.
Translate ambiguous problem statements into actionable, end-to-end machine.
Follow agile development practices and maintain high standards for clean, modular, and sustainable code.
Must-Have Skills:
In-depth expertise in Python for high-performance, data-intensive applications.
Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow).
Specialized knowledge in such areas as large language models, recommender.
Strong foundational understanding of statistics for model comparison.
Real-world experience deploying and main
Skills: Python-Advanced, REST APIs-Intermediate, AI/ML- Expert, Pytorch/Jax-Intermediate
Location: Fremont, CA (5 Days onsite)
Job Summary:
We are looking for someone with In-depth expertise in Python for high-performance, data-intensive applications, PyTorch, Worked on Rag models. Based in Fremont, California with potential global travel to the clients sites, this position calls for a passionate individual keen on advancing their career in a dynamic environment.
Key Responsibilities:
Design, develop, and implement machine learning models using supervised learning techniques for design support and implementation.
Collaborate with vehicle service and energy service and software teams.
Take ownership of production models ensuring robust alerting systems for
Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to scale.
Translate ambiguous problem statements into actionable, end-to-end machine.
Follow agile development practices and maintain high standards for clean, modular, and sustainable code.
Must-Have Skills:
In-depth expertise in Python for high-performance, data-intensive applications.
Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow).
Specialized knowledge in such areas as large language models, recommender.
Strong foundational understanding of statistics for model comparison.
Real-world experience deploying and main