Intellectt Inc

Data Scientist – AI/ML W2 ONLY

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist – AI/ML with 10+ years of experience, focusing on AWS SageMaker, onsite in Berkeley Heights, NJ. W2 only, it requires expertise in Python, ML algorithms, and scalable solutions; financial services experience is preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
March 3, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Berkeley Heights, NJ
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🧠 - Skills detailed
#Deep Learning #SageMaker #Lambda (AWS Lambda) #Data Science #ML (Machine Learning) #NumPy #AWS (Amazon Web Services) #Model Validation #Deployment #ECR (Elastic Container Registery) #Data Modeling #AI (Artificial Intelligence) #Python #Statistics #EC2 #Datasets #AWS SageMaker #TensorFlow #Scala #S3 (Amazon Simple Storage Service) #Cloud #PyTorch #Pandas #NLP (Natural Language Processing)
Role description
Data Scientist – AI/ML W2 ONLY Location: Onsite – Berkeley Heights, NJ Employment Type: W2 Role Overview: We are seeking an experienced Data Scientist with strong expertise in AI/ML and hands-on experience with AWS SageMaker. The ideal candidate will design, develop, and deploy scalable machine learning models in a cloud environment to solve complex business problems. Key Responsibilities: • Develop, train, and deploy ML models using AWS SageMaker • Build end-to-end ML pipelines (data prep, feature engineering, model training, deployment) • Work with structured and unstructured datasets • Perform model validation, tuning, and performance optimization • Collaborate with engineering teams for production deployment • Monitor models in production and improve performance over time Required Skills: • 10+ years of experience in Data Science / AI/ML • Strong hands-on experience with AWS SageMaker • Expertise in Python (NumPy, Pandas, Scikit-learn, TensorFlow/PyTorch) • Experience with AWS services (S3, Lambda, EC2, ECR, CloudWatch) • Strong knowledge of ML algorithms, statistics, and data modeling • Experience building and deploying scalable ML solutions Preferred: • Experience with MLOps and CI/CD pipelines • Exposure to NLP, deep learning, or LLMs • Financial services domain experience is a plus NOTE: This position is strictly W2 only. No C2C or third-party candidates.