AI/ML Engineer AWS SageMaker & Bedrock

Job Title: AI/ML Engineer AWS SageMaker & Bedrock

Location: Remote ( NY/NJ)

Job Type: Full-Time Contract

Job Overview

We are seeking an experienced AI/ML Engineer with deep expertise in Python, AWS, and Machine Learning frameworks to design, train, and deploy scalable AI/ML and GenAI models in production environments. The ideal candidate will have hands-on experience with AWS SageMaker and AWS Bedrock, along with a strong background in data science and applied machine learning.

Key Responsibilities

• Design, develop, and deploy scalable AI/ML models using AWS SageMaker and Bedrock.
• Build and optimize end-to-end machine learning pipelines for model training, evaluation, and deployment.
• Collaborate with data engineers, product teams, and stakeholders to deliver high-impact ML solutions.
• Work with large datasets to perform data cleaning, feature engineering, and model tuning.
• Implement and maintain best practices for MLOps, versioning, and model monitoring.
• Research and experiment with Generative AI (GenAI) frameworks and foundation models.

Required Skills & Qualifications

• 5+ years of experience in Python programming and data science.
• Hands-on experience with AWS AI/ML stack SageMaker, Bedrock, Lambda, and related services.
• Strong understanding of machine learning algorithms, NLP, and deep learning frameworks (TensorFlow, PyTorch, or Hugging Face).
• Proven ability to deploy and manage models in production environments.
• Experience with MLOps, CI/CD, and containerization (Docker).
• Excellent problem-solving, analytical, and communication skills.

Preferred Qualifications

• Experience with Generative AI, LLM fine-tuning, and prompt engineering.
• AWS Machine Learning Specialty or related certification.
• Prior experience working in financial services or enterprise-scale environments.