

ML Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for an ML Engineer with over 5 years of experience in machine learning, data science, or AI. It offers a 10+ month contract in New York City (Hybrid) at $80-$95/hour, requiring strong skills in Python, R, or Scala.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
760
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ποΈ - Date discovered
July 18, 2025
π - Project duration
More than 6 months
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ποΈ - Location type
Hybrid
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π - Contract type
1099 Contractor
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π - Security clearance
Unknown
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π - Location detailed
New York, NY
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π§ - Skills detailed
#Hadoop #Compliance #Deep Learning #Databases #NLP (Natural Language Processing) #NoSQL #Python #PyTorch #TensorFlow #R #Spark (Apache Spark) #Libraries #SQL (Structured Query Language) #Data Science #Consulting #AI (Artificial Intelligence) #Big Data #ML (Machine Learning) #Scala
Role description
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Immediate need for a talented ML Engineer. This is a 10+months contract opportunity with long-term potential and is located in New York City,NY(Hybrid). Please review the job description below and contact me ASAP if you are interested.
Job ID:25-78380
Pay Range: $80 - $95/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Requirements and Technology Experience:
β’ Key Skills:Over 5 years of experience working in machine learning, data science, or AI .
β’ Hands-on experience with MLOps tools and workflows .
β’ Strong coding skills in Python, R, or Scala, with solid experience using ML libraries like TensorFlow, PyTorch, and Scikit-learn .
β’ Build and roll out machine learning models to help with things like customer insights, profitability, and optimizing the balance sheet.
β’ Work with both structured and unstructured data, applying techniques such as natural language processing, deep learning, and time-series modeling.
β’ Deploy models into production environments using established MLOps practices.
β’ Comfortable coding in Python, R, or Scala, and well-versed in ML libraries like TensorFlow, PyTorch, and Scikit-learn.
β’ Hands-on experience with big data tools (like Hadoop and Spark) and working with both SQL and NoSQL databases.
β’ Familiarity with risk modeling, capital frameworks, and regulatory compliance in the banking sector is a plus.
Our client is a leading Financial Industry, and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.
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