

OSI Engineering
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer on a 10-month contract in Sunnyvale, CA, paying $99.00 - $114.00 per hour. Key skills include Python, ML algorithms, data pipeline development, and cloud platforms. Experience with audio or motion signal data is a plus.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 3, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Sunnyvale, CA
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🧠 - Skills detailed
#Data Ingestion #Version Control #Deployment #Pandas #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Model Evaluation #Data Pipeline #Scala #NumPy #Azure #Data Science #PyTorch #GIT #Batch #Datasets #Statistics #Python #ML (Machine Learning) #Libraries #AWS (Amazon Web Services) #Cloud #Computer Science #Transformers #AI (Artificial Intelligence)
Role description
A globally leading consumer device company based in Sunnyvale, CA is looking for a Machine Learning Engineer to join their team.
Job 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. Familiarity with cloud platforms (AWS, GCP, Azure) and related data services is a plus.
• 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.
Education:
• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• Relevant certifications in Machine Learning or Cloud platforms are a plus.
• Proven experience in developing and deploying machine learning solutions in a professional setting.
• Any prior experience working with Audio, or Motion signal data is a plus
Type: Contract
Duration: 10 months with extension
Work Location: Sunnyvale, CA (100% onsite)
Pay range: $ 99.00 - $ 114.00 per hour
A globally leading consumer device company based in Sunnyvale, CA is looking for a Machine Learning Engineer to join their team.
Job 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. Familiarity with cloud platforms (AWS, GCP, Azure) and related data services is a plus.
• 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.
Education:
• Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, Statistics, or a related quantitative field.
• Relevant certifications in Machine Learning or Cloud platforms are a plus.
• Proven experience in developing and deploying machine learning solutions in a professional setting.
• Any prior experience working with Audio, or Motion signal data is a plus
Type: Contract
Duration: 10 months with extension
Work Location: Sunnyvale, CA (100% onsite)
Pay range: $ 99.00 - $ 114.00 per hour






