New York Technology Partners

Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer with a contract length of "unknown," offering a pay rate of "unknown." Key skills include expertise in Amazon Bedrock, SageMaker, large language models, prompt engineering, and AI/ML governance. A degree in Computer Science or Engineering is required.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
October 16, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Unknown
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
United States
-
🧠 - Skills detailed
#Programming #R #Python #Compliance #Computer Science #ML (Machine Learning) #AI (Artificial Intelligence) #SageMaker
Role description
We are seeking a highly skilled and experienced Artificial Intelligence and Machine Learning Engineer to join our dynamic team. The ideal candidate will have a strong background in AI/ML technologies, with specific expertise in Amazon Bedrock and SageMaker. This role requires proficiency in working with multiple large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG), governance, and model auditability. Key Responsibilities: Design, develop, and deploy machine learning models using Amazon Bedrock and SageMaker. Implement and optimize large language models (LLMs) for various applications. Develop and refine prompt engineering techniques to enhance model performance. Utilize retrieval-augmented generation (RAG) to improve information retrieval and generation processes. Ensure governance and compliance of AI/ML models, including model auditability and ethical considerations. Collaborate with cross-functional teams to integrate AI/ML solutions into products and services. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Stay updated with the latest advancements in AI/ML technologies and apply them to ongoing projects. Experience leveraging the Model Context Protocol. What You’ll Need to Make Your Impact Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Proven experience with Amazon Bedrock and SageMaker Strong understanding of large language models (LLMs) and their applications. Expertise in prompt engineering and retrieval-augmented generation (RAG). Knowledge of AI/ML governance and model auditability practices. Proficiency in programming languages Python or R Excellent problem-solving skills and attention to detail. Strong communication and teamwork abilities.