Job Title: AWS AI/ML EngineerLocation: Remote or Princeton, NJJob Type: Full-Time Contract Job Summary: We are seeking a highly skilled AWS AI/ML Engineer to design, build, and maintain machine learning and AI-based solutions on AWS. The ideal candidate will have hands-on experience with AWS AI/ML services, strong data processing capabilities, and proven expertise in data deduplication and AI tagging techniques. You will work closely with data scientists, engineers, and business stakeholders to build scalable and intelligent data pipelines and services. Key Responsibilities: Design and implement scalable AI/ML solutions using AWS services (e.g., SageMaker, Rekognition, Comprehend, Bedrock, Textract, etc.) Build and optimize deduplication pipelines for large-scale data sets, including text, images, and documents. Implement AI-driven tagging systems for automatic metadata generation and classification. Collaborate with cross-functional teams to gather business requirements and translate them into ML solutions. Deploy, monitor, and maintain production-grade ML models on AWS. Continuously evaluate new AWS tools and frameworks to improve accuracy and performance. Ensure AI solutions are cost-efficient, secure, and compliant with data governance policies. Required Skills & Qualifications: Bachelor’s or master’s degree in computer science, Data Science, or related field. 10+ years of experience in AI/ML engineering roles with at least 3 years focused on AWS AI/ML services. Strong experience with AWS SageMaker, Lambda, Glue, Step Functions, Textract, Rekognition, or similar services. Hands-on experience with data deduplication algorithms, entity resolution, and record linkage. Proven experience in AI tagging, natural language processing (NLP), and unstructured data analysis. Proficiency in Python (Pandas, NumPy, Scikit-learn, Boto3). Familiarity with containerization (Docker) and CI/CD pipelines for ML model deployment. Excellent communication and problem-solving skills. Preferred Qualifications: AWS Certified Machine Learning – Specialty certification. Experience with Bedrock and foundation models (e.g., Anthropic Claude, Amazon Titan, etc.). Experience working with large document/image datasets and implementing scalable processing workflows. Knowledge of data privacy and compliance frameworks. Job Type: Contract Pay: $65.00 - $85.00 per hour Schedule: 8 hour shift Monday to Friday Experience: AWS: 10 years (Required) AI Tagging: 3 years (Required) deduplication: 2 years (Required) Machine learning: 3 years (Required) Azure: 8 years (Preferred) Work Location: Remote