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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.