Remote AI/ML Engineer - Python & Pipelines

Veracity Ventures Inc.

Oregon

Ibrido

USD 120.000 - 170.000

Tempo pieno

5 giorni fa
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Descrizione del lavoro

Veracity Ventures Inc. is seeking an AI/ML Engineer with 4+ years of experience for a full-time, remote role based in New Jersey.

You will design, train, and deploy ML models, build AI-driven solutions with Python and ML frameworks, and collaborate with cross-functional teams to deliver scalable, production-ready pipelines. Candidates should have strong fundamentals in AI/ML, hands-on experience with TensorFlow, PyTorch, or Scikit-learn, and familiarity with AWS, Azure, or GCP.

Competenze

  • 4+ years of experience in AI/ML or a related field.
  • Strong Python programming skills.
  • Knowledge of machine learning algorithms and statistical modeling.
  • Experience with TensorFlow, PyTorch, or Scikit-learn.
  • Understanding of SQL, data processing, and feature engineering.
  • Familiarity with AWS, Azure, or GCP.
  • Strong analytical and problem-solving skills.

Mansioni

  • Design, develop, train, and deploy machine learning models.
  • Build AI-driven solutions using Python and machine learning frameworks.
  • Perform data preprocessing, feature engineering, and model evaluation.
  • Work with TensorFlow, PyTorch, and Scikit-learn.
  • Develop AI/ML pipelines and deploy models into production.
  • Collaborate with cross-functional teams to deliver scalable solutions.
  • Explore Generative AI, NLP, and Large Language Models (LLMs).
  • Monitor model performance and optimize existing solutions.

Conoscenze

Python
AI/ML experience
Analytical skills
Problem-solving

Strumenti

TensorFlow
PyTorch
Scikit-learn
AWS
Azure
GCP

Descrizione del lavoro

Veracity Ventures Inc. is seeking an AI/ML Engineer with 4+ years of experience for a full-time, remote role based in New Jersey.

You will design, train, and deploy ML models, build AI-driven solutions with Python and ML frameworks, and collaborate with cross-functional teams to deliver scalable, production-ready pipelines. Candidates should have strong fundamentals in AI/ML, hands-on experience with TensorFlow, PyTorch, or Scikit-learn, and familiarity with AWS, Azure, or GCP.

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