

Lead AI/ML Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Lead AI/ML Developer on a contract basis in NYC, NY (Hybrid – 3 days onsite). Requires a Bachelor's/Master's in Computer Science or Data Science, 2+ years in AI/ML, and proficiency in Python, TensorFlow, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
July 1, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
Hybrid
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Regression #NLP (Natural Language Processing) #Data Science #AWS (Amazon Web Services) #Deep Learning #GCP (Google Cloud Platform) #ML (Machine Learning) #Pandas #Cloud #TensorFlow #Clustering #Computer Science #AI (Artificial Intelligence) #Datasets #Python #MLflow #Classification #Keras #PyTorch #NumPy #"ETL (Extract #Transform #Load)" #Libraries #Scala #Azure #Docker #Model Evaluation
Role description
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Role: Lead AI/ML Developer
Location: NYC, NY (Hybrid – 3 days a week onsite)
Job Type: Contract
Responsibilities
• Design and implement machine learning models and algorithms for classification, regression, clustering, and recommendation systems.
• Collaborate with data scientists, software engineers, and product teams to integrate AI solutions into production environments.
• Analyze large datasets to extract meaningful insights and improve model performance.
• Research and stay up to date with the latest AI trends, tools, and technologies.
• Optimize models for scalability, performance, and accuracy.
Required Skills
• Bachelors or Masters degree in Computer Science, Data Science, or a related field.
• 2+ years of experience in AI/ML development.
• Proficiency in Python with experience using libraries such as TensorFlow, PyTorch, Scikit-learn, or Keras.
• Strong understanding of machine learning algorithms, deep learning, and natural language processing (NLP).
• Experience with data preprocessing, feature engineering, and model evaluation techniques.
• Familiarity with cloud platforms like AWS, Azure, or GCP for deploying AI models.
• Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow, Docker).
Mandatory Skills
• Python
• AI/ ML, NLP
• Tensor, PyTorch
• AWS, Azure
• Pandas, Numpy
• CI/CD