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Machine Learning Developer with Fluency with Python

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Developer fluent in Python, offering a contract at $75.00 - $80.00 per hour. Requires extensive ML experience, particularly with AML projects, and proficiency in libraries like TensorFlow, PyTorch, and Pandas. Hybrid work in New York, NY.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
640
🗓️ - Date discovered
March 30, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Hybrid
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
New York, NY 10001
🧠 - Skills detailed
#Python #Regression #OpenCV (Open Source Computer Vision Library) #Image Processing #TensorFlow #Pandas #Classification #Matplotlib #ML (Machine Learning) #Predictive Modeling #NumPy #Libraries #Object Detection #Visualization #Clustering #AI (Artificial Intelligence) #Data Manipulation #Plotly #PyTorch #SciPy
Role description
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Job Description: ML (Machine Learning) Developer with fluency with Python and respective libraries.

Hybrid role - 3 days onsite

-To do development in PYTHON for a startup that already has 4 high end financial industry clients - to do AI and ML development.-Must have excellent Python and significant ML (machine learning) experience, one current project is to work on an AML (anti-money laundering) project.-Experience with AML is a strong plus-You will be assigned to multiple investment banking and hedge fund clients as per your interest and skills. The firm is growing-Python and Machine Learning. AML and AI. That is, a Python developer with extensive experience developing with the libraries such as Core Libraries:

TensorFlow: A comprehensive, open-source library for numerical computation and large-scale machine learning, developed by Google.

 PyTorch: An open-source machine learning library, particularly popular in the academic community, known for its flexibility and dynamic computation graphs.

 scikit-learn:A widely used library for various machine learning algorithms, including classification, regression, clustering, and dimensionality reduction.

 Pandas:A powerful library for data manipulation and analysis, providing data structures like DataFrames for efficient data handling.

 Matplotlib:A fundamental library for creating static, interactive, and animated visualizations in Python.

 Seaborn:A library built on top of Matplotlib, offering a high-level interface for creating visually appealing and informative statistical graphics.

Other Useful Libraries:

SciPy:A library built on NumPy, providing scientific computing tools for optimization, integration, interpolation, and more.

 XGBoost:A library that implements the Gradient Boosting algorithm, known for its high performance and efficiency in predictive modeling.

 OpenCV:A library focused on computer vision tasks, offering algorithms for image processing, object detection, and more.

 Plotly:A library for creating interactive and publication-quality visualizations, suitable for dashboards and web applications.

Job Type: Contract

Pay: $75.00 - $80.00 per hour

Ability to Commute:

New York, NY 10001 (Required)

Work Location: In person