Synergy Interactive
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." Key skills include Python, Java, and ML frameworks like TensorFlow and PyTorch. Experience in financial services, especially Equity or Fixed Income trading, is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 6, 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
El Segundo, CA
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🧠 - Skills detailed
#Programming #PyTorch #ML (Machine Learning) #Libraries #Python #Data Analysis #TensorFlow #Monitoring #Java #Scala
Role description
Job Description:
We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML solutions in a financial services environment. This role focuses on taking models from prototype to production while collaborating closely with business and technical stakeholders.
Responsibilities & Requirements:
• Strong programming skills in Python, Java, and other ML-relevant languages
• Solid understanding of machine learning algorithms and techniques
• Hands-on experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
• Expertise in data analysis, data handling, and feature engineering
• Experience building infrastructure and tools for training, deploying, and monitoring ML models
• Proven ability to productionize ML prototypes
• Strong communication skills with the ability to work independently and partner directly with stakeholders
• Experience supporting Financial Services use cases, particularly Equity or Fixed Income trading
Job Description:
We are seeking a Machine Learning Engineer to design, build, and deploy scalable ML solutions in a financial services environment. This role focuses on taking models from prototype to production while collaborating closely with business and technical stakeholders.
Responsibilities & Requirements:
• Strong programming skills in Python, Java, and other ML-relevant languages
• Solid understanding of machine learning algorithms and techniques
• Hands-on experience with ML frameworks and libraries (TensorFlow, PyTorch, scikit-learn)
• Expertise in data analysis, data handling, and feature engineering
• Experience building infrastructure and tools for training, deploying, and monitoring ML models
• Proven ability to productionize ML prototypes
• Strong communication skills with the ability to work independently and partner directly with stakeholders
• Experience supporting Financial Services use cases, particularly Equity or Fixed Income trading
