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AI ML Engineer

Job in San Jose, Santa Clara County, California, 95199, USA
Listing for: ManpowerGroup Global, Inc.
Full Time position
Listed on 2026-06-17
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer (Applied/Software), Data Scientist
Salary/Wage Range or Industry Benchmark: 70 - 75 USD Hourly USD 70.00 75.00 HOUR
Job Description & How to Apply Below

Our client, a leading technology organization specializing in innovative solutions, is seeking an AI/ML Engineer to join their dynamic team. The role is located in San Jose, CA and offers a pay range of $70-$75 per hour.

Responsibilities
  • Design, develop, and maintain scalable and robust machine learning models for predictive and prescriptive analytics.
  • Perform data mining using state-of-the-art methods and analyze large, complex data sets to extract insights and identify trends.
  • Implement algorithms and software needed to perform analyses and integrate machine learning models into production systems.
  • Collaborate with cross-functional teams, including data engineers and software developers, to define problem statements, collect data, and implement solutions.
  • Stay current with the latest AI/ML research and technologies to propose and implement improvements.
Qualifications
  • Proficient in machine learning frameworks (such as Tensor Flow or PyTorch) and libraries (like scikit-learn).
  • Strong coding skills in programming languages like Python, R, or Java.
  • Knowledge of data structures, data modeling, and software architecture.
  • Expertise in statistical modeling, machine learning, deep learning, and/or natural language processing.
  • Experience with big data technologies such as Hadoop, Spark, or Kafka.
Benefits
  • Opportunity to work on cutting-edge AI/ML projects that impact real-world applications.
  • Collaborative environment that fosters innovation and professional growth.
  • Access to continuous learning resources and industry-leading tools.
  • Engagement with a diverse and inclusive team committed to excellence.
  • Potential for career advancement within a forward-thinking organization.
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