Machine Learning Engineer

Cupertino, CA, US • Posted 1 day ago • Updated 1 day ago
Contract W2
No Travel Required
On-site
Depends on Experience
Company Branding Image
Fitment

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Job Details

Skills

  • Algorithms
  • Artificial Intelligence
  • Amazon Web Services
  • Code Refactoring
  • PyTorch
  • Python
  • Scalability
  • Real-time
  • Problem Solving
  • Microsoft Azure
  • Google Cloud Platform
  • Machine Learning (ML)
  • Software Development
  • Good Clinical Practice
  • Git
  • Design Of Experiments
  • Cloud Computing
  • Computer Science
  • NumPy
  • Extract, Transform, Load
  • Management
  • Evaluation
  • Conflict Resolution
  • Testing
  • scikit-learn

Summary

A globally leading consumer device company based in Sunnyvale, CA is looking for a Machine Learning Engineer to join their team!

Responsibilities:

•    Design, develop, and implement machine learning models for various applications.
•    Develop and maintain robust data pipelines for data ingestion, cleaning, transformation, and feature engineering.
•    Refactor existing code repositories to improve efficiency, scalability, and maintainability.
•    Train and optimize machine learning models using appropriate frameworks and techniques.
•    Develop and deploy inference pipelines for real-time or batch predictions.
•    Analyze model performance, identify areas for improvement, and iterate on model designs.
•    Collaborate with data scientists, engineers, and product managers to define project requirements and deliverables.
•    Document code, models, and processes thoroughly.

Required skills:

•    Strong proficiency in Python, including libraries such as scikit-learn, PyTorch, Pandas, and NumPy.
•    Deep understanding of various ML algorithms (e.g., supervised, unsupervised, CNNs, LSTM, GRU, Transformers ), model evaluation metrics, and optimization techniques.
•    Experience with data pipeline development, ETL processes, and working with large datasets.
•    Solid understanding of software development best practices, including version control (Git), code refactoring, testing, and deployment.
•    Ability to analyze complex data, interpret model results, and draw actionable insights.
•    Excellent problem-solving abilities and a proactive approach to identifying and resolving technical challenges.
•    Strong written and verbal communication skills to explain complex technical concepts to both technical and non-technical stakeholders.
•    Bachelor''s or Master''s degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
•    Proven experience in developing and deploying machine learning solutions in a professional setting.
•    Relevant certifications in Machine Learning or Cloud platforms are a plus.
•    Any prior experience working with Audio, or Motion signal data is a plus.
•    Familiarity with cloud platforms (AWS, Google Cloud Platform, Azure) and related data services is a plus.


Type: Contract
Duration: 7 months with extension
Work Location: Sunnyvale, CA (onsite)
Pay rate: $99.00 - $114.00/ph (DOE)

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10365912
  • Position Id: 8953940
  • Posted 1 day ago

Company Info

About OSI Engineering, Inc.

OSI Engineering delivers professional engineering consultants and contractors to enable you to meet your time-to-market demands. Our technical knowledge of your specific technology, streamline the process to deliver the right engineer with the right technical expertise to add value with minimal ramp up time. Additionally, on-call access to our highly-skilled engineering pool enables your business to stay ahead of the curve.

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