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Data Engineer

Exclusive opportunity

Onsite

Data Engineer

VBeyond Corporation

Data Engineer

Skills

DockerPythonPyTorchTensorFlowAmazon EC2AWS LambdaMachine LearningAIAWS

14 days ago

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Important information


Contract type:

Permanent

Location:

Raleigh, NC, USA

Work mode:

Onsite

Published on:

7 October 2026

What they need


Work Location: Hartford, CT, Raleigh, NC, Richardson, TX

Job Title: Data Engineer

Type-Full Time

Your contribution to the team:

⦁ A collaborative spirit and excellent communication skills.

⦁ The ability to handle end to end SDLC phases from requirement gathering to implementation.

⦁ A knack for translating complex requirements into actionable development tasks.

⦁ A passion for design and hands-on coding experience

⦁ A proactive approach to testing, troubleshooting, and refining our applications.

⦁ The ability to work with cross-functional teams and do software integration.

Required Skill and Experience

  • Experience in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).

  • Experience in Design, develop, and fine-tune machine learning models, particularly those involving LLMs and generative AI.

  • Experience with AWS services, especially Bedrock, S3, EC2, and Lambda Familiarity with ML Ops practices and tools for model deployment and monitoring.

  • Experience with AWS SageMaker for model development and model deployment.

  • Experience with developing and deploying AI Agents for business problems.

  • Experience in optimizing and adapt prompt engineering strategies to improve model performance and relevance.

  • Experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.

  • Experience in understanding quantitative/

statistical/ML/AI modeling methodologies.

  • Experience in ML engineering, including hands-on experience with Generative AI/LLMs.

Preferred Skill and Experience

  • Experience in building and maintaining scalable data pipelines and APIs to support ML workflows.

  • Knowledge of data privacy and security best practices in cloud environments.

  • Familiarity with containerization (Docker) and container orchestration is a plus.

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