ShrinQ Consulting Group Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown," offering a pay rate of "unknown." It requires strong Python skills, experience with ML libraries, SQL, and familiarity with cloud platforms. Industry experience in data-driven products is essential.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
February 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Datasets #ML (Machine Learning) #AWS (Amazon Web Services) #Azure #GCP (Google Cloud Platform) #Data Science #Scala #Data Pipeline #Automation #Version Control #SQL (Structured Query Language) #Statistics #TensorFlow #Libraries #Model Evaluation #PyTorch #Cloud #Python
Role description
Role Overview
We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models that power data-driven products and decision-making. The role involves working with large datasets, building scalable pipelines, and integrating models into production systems.
Key Responsibilities
• Design, build, and deploy machine learning models and algorithms
• Perform data preprocessing, feature engineering, and model evaluation
• Develop and maintain scalable data pipelines and ML workflows
• Collaborate with data scientists, engineers, and product teams
• Monitor model performance and retrain models as needed
• Optimize models for accuracy, latency, and scalability
• Implement automation and version control for ML workflows
• Document models, experiments, and system architecture
Required Skills
• Strong proficiency in Python
• Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch
• Good understanding of statistics, data structures, and algorithms
• Experience working with SQL and large datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud platforms (AWS, Azure, or GCP)
Role Overview
We are seeking a Machine Learning Engineer to design, develop, and deploy machine learning models that power data-driven products and decision-making. The role involves working with large datasets, building scalable pipelines, and integrating models into production systems.
Key Responsibilities
• Design, build, and deploy machine learning models and algorithms
• Perform data preprocessing, feature engineering, and model evaluation
• Develop and maintain scalable data pipelines and ML workflows
• Collaborate with data scientists, engineers, and product teams
• Monitor model performance and retrain models as needed
• Optimize models for accuracy, latency, and scalability
• Implement automation and version control for ML workflows
• Document models, experiments, and system architecture
Required Skills
• Strong proficiency in Python
• Experience with ML libraries such as Scikit-learn, TensorFlow, or PyTorch
• Good understanding of statistics, data structures, and algorithms
• Experience working with SQL and large datasets
• Knowledge of data preprocessing and feature engineering
• Familiarity with cloud platforms (AWS, Azure, or GCP)
