Data Scientist (AWS SageMaker) (W2 Only)

Job Title: Data Scientist – AI/ML (AWS SageMaker) Location: Berkeley Heights, NJ (Onsite) Job Type: Contract Key Responsibilities • Design, develop, and deploy scalable Machine Learning and AI models. • Build and optimize ML pipelines using AWS SageMaker. • Handle large-scale datasets (100M–200M+ records) for model training and inference. • Implement distributed model training using Ray, Dask, or similar frameworks. • Develop data preprocessing, feature engineering, and model evaluation workflows. • Optimize model performance, scalability, and cost efficiency on AWS. • Collaborate with data engineers, DevOps, and business stakeholders. • Deploy and monitor models in production environments. • Ensure best practices for ML lifecycle management (MLOps). Required Skills • Strong experience in Data Science & Machine Learning. • Hands-on expertise with AI/ML model development and deployment. • Extensive experience with AWS SageMaker. • Experience training models on large-scale datasets (100M+ records). • Hands-on experience with distributed computing frameworks: • Ray • Dask • Strong Python programming skills. • Experience with ML libraries such as Scikit-learn, TensorFlow, PyTorch, or XGBoost. • Experience with data processing tools (Pandas, PySpark, NumPy). • Knowledge of MLOps and model deployment strategies. Preferred Qualifications • Experience in financial services or fintech domain. • Knowledge of cloud-native ML architecture. • Experience with CI/CD pipelines for ML workflows. • Familiarity with containerization (Docker/Kubernetes). Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.