Machine Learning Engineer (On W-2) Job at Peer Consulting Resources Inc., Fremont, CA

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  • Peer Consulting Resources Inc.
  • Fremont, CA

Job Description

Contact Details:

1.Sandeep Bisane
Email: sandeep.bisane@peer-consulting.com
Cell: (732) 802-7361

Job Title: Machine Learning Engineer

Location: Fremont, CA

Duration: 12 Months+

Years of Experience: 5+ Yrs.

Required Hours/Week: 40hrs./Week

Job Description:

  • The end-client is hiring a Machine Learning Engineer for their software machine learning and computer vision team to design, develop, and implement critical machine learning models supporting factory and warehouse operations.
  • You will transform ambiguous problem statements into robust end-to-end solutions using a variety of machine learning techniques and tools, including supervised learning, convolutional neural networks, and modern frameworks such as PyTorch and Pandas.
  • You will collaborate closely with partners in production, process, controls, and quality to deliver solutions for the most challenging problems in our operations.
  • Your work will involve evaluating and deploying models in production environments, ensuring rapid and reliable alerting systems, and addressing operational issues as they arise.
  • You must be adept at handling diverse, heterogeneous datasets that span multiple modalities, including images, multi-spectral sensor outputs, voice, text, and tabular data.

Responsibilities:

  • Design, develop, and deploy machine learning models for factory and warehouse environments.
  • Collaborate with cross-functional teams to identify, define, and solve high-impact operational challenges.
  • Build and maintain end-to-end machine learning pipelines, from data collection and preprocessing to model deployment and monitoring.
  • Evaluate and compare models using statistical methods to ensure optimal performance and feasibility.
  • Ensure robust alerting and monitoring systems are in place for deployed models to address issues rapidly.
  • Work with diverse datasets, integrating multiple data types such as images, sensor data, voice, text, and tabular information.
  • Write clean, modular, and sustainable code to translate research ideas into production-ready solutions.

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