Required: AI Engineer with AWS Bedrock: Malvern, PA (Day 1 onsite): C2C

Overview

On Site
Accepts corp to corp applications
Contract - Independent
Contract - 12th Month(s)

Skills

AI Engineer

Job Details

Job Title:- AI Engineer with AWS Bedrock
Location:- Malvern, PA
Job Type:- Contract
On-Site

Job Description:-
Key Responsibilities:

  • Design, build, and deploy AI/ML models and pipelines using structured and unstructured data.

  • Collaborate with data scientists, software engineers, and product teams to integrate AI models into production systems.

  • Research and implement state-of-the-art algorithms in NLP, computer vision, reinforcement learning, or generative AI.

  • Optimize and fine-tune models for accuracy, performance, and scalability.

  • Develop APIs and microservices to serve AI models at scale.

  • Stay updated on the latest trends, tools, and techniques in AI/ML and apply them where appropriate.

  • Ensure AI systems comply with ethical guidelines, data privacy laws, and responsible AI practices.

  • Document model architecture, data sources, training processes, and performance metrics.

Required Skills and Qualifications:

  • Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

  • 3+ years of experience in developing and deploying machine learning or AI applications.

  • Proficiency in Python and ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.

  • Experience with cloud platforms like AWS, Google Cloud Platform, or Azure for deploying AI solutions.

  • Strong understanding of algorithms, data structures, and software engineering principles.

  • Familiarity with version control systems (e.g., Git) and CI/CD pipelines.

  • Experience working with large datasets, data preprocessing, and model evaluation.

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.