Machine Learning Engineer

  • Plano, TX
  • Posted 4 hours ago | Updated 4 hours ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
100% Travel

Skills

LLM
AWS

Job Details

Hi,

Greetings of the day!!

Machine Learning Engineer LLM & AWS Integration

Location: Plano, Texas

Skills/JD:
Required Qualifications
Bachelor's or master's degree in computer science, Data Science, Engineering, or a related field.
3+ years of experience in machine learning, data science, or AI engineering.
Hands-on experience with LLMs (e.g., OpenAI, Anthropic, Cohere) and prompt engineering.
Strong proficiency in Python and ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
Deep experience with AWS services, especially Bedrock, S3, EC2, and Lambda
Familiarity with MLOps practices and tools for model deployment and monitoring.
Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders.
Strong programming skills in data analytics related languages, such as Python, R, or JavaScript.
Experience with AWS services such as S3, EC2, Lambda, and particularly SageMaker for machine learning model deployment.
Understanding of quantitative/statistical/ML/AI modeling methodologies.
Experience in ML engineering, including hands-on experience with Generative AI/LLMs.
Working experience in EKS deployed application is a plus.
Preferred Qualifications
Experience with fine-tuning or customizing foundation models.
Knowledge of data privacy and security best practices in cloud environments.
Familiarity with containerization (Docker) and orchestration (Kubernetes) is a plus.

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