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Python Developer - W2 Only - Fremont CA, Onsite Interview

Pacific Consultancy ServicesFremont, CA🇺🇸United StatesPosted 20 Jul 2026

Why This Role Stands Out

You'll have the opportunity to develop and deploy cutting-edge machine learning models that directly impact critical internal service applications, offering significant growth in your AI and Python expertise. This role is perfect for an ambitious mid-senior Python Developer with advanced skills in PyTorch, Pandas, and Machine Learning, eager to solve complex challenges and contribute to innovative solutions. Apply today to leverage your skills in a role that promises impactful work and continuous learning.

Quick Overview

Work Type
On Site
Level
Mid Senior

Job Description

*** INPERSON INTERVIEW ***
Job Description:
Primary Skills:  Python (advanced), PyTorch (advanced), Pandas (advanced), Machine Learning (advanced), Deep Learning (advanced)
Contract Type: C2C and W2 
Duration:6+ months
Location: Fremont, CA (onsite interview)
In Person Interview Date: 07/27/2026 at Client Office in Fremont, CA.
Experience Required: 2+ Years - Entry Level Candidates encourages to apply.
PCS is an equal opportunity employer.


Job Summary:
You will develop and deploy sophisticated machine learning models to enhance Client internal service applications that manage operations, customer interactions, and claims processing. This role involves tackling intricate problems and translating them into scalable AI solutions. You will collaborate closely with various operational teams to ensure the effectiveness and reliability of these critical systems.

Key Responsibilities:

  • Build and deploy ML models for service and customer support.
  • Partner with operations teams to solve challenges.
  • Maintain and monitor deployed ML models actively.
  • Process and integrate varied data types into solutions.
  • Define and implement AI solutions from vague requirements.

Must-Have Skills:

  • Proven Python proficiency for data-intensive tasks.
  • Experience with a major deep learning framework.
  • Established background in production ML systems.

Domain / Industry Experience: Experience in automotive service operations or customer support is preferred.

Skills

Machine Learning
Deep Learning
Pandas
PyTorch
Python

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