Princeton IT Services, Inc · 3 months ago
AI/ML Engineer AWS SageMaker & Bedrock
Princeton IT Services, Inc is seeking an experienced AI/ML Engineer with expertise in Python, AWS, and Machine Learning frameworks. The role involves designing, training, and deploying scalable AI/ML and GenAI models in production environments, collaborating with various teams to deliver impactful ML solutions.
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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
Qualification
Required
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
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
Company
Princeton IT Services, Inc
Princeton IT Services, Inc.
H1B Sponsorship
Princeton IT Services, Inc has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
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Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (10)
2024 (7)
2023 (2)
2022 (4)
2021 (7)
2020 (5)
Funding
Current Stage
Early StageCompany data provided by crunchbase