Remote AI Engineer: NLP & ML for Real Impact

YipitData (Alternative)

United States

Remote

USD 27,000 - 40,000

Full time

4 days ago
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Benefits offered by this job

Vacation time and parental leave
Learning reimbursement and team events

Job summary

YipitData is seeking an AI Engineer to join our remote team based in India. You will develop, train, and fine-tune ML models, work with large datasets, and deploy AI solutions into production with API services.

You will collaborate with software engineers and researchers on NLP, LLMs, and predictive analytics, and you will experiment to improve accuracy, latency, and scalability while staying current with AI advances.

Qualifications

  • Bachelor’s or Master’s in CS/AI/DS or related field.
  • 3–4 years of hands-on experience in AI/ML engineering.
  • Strong knowledge of ML algorithms and deep learning models.
  • Proficiency with Python and AI frameworks (TensorFlow or PyTorch).
  • Experience with NLP/LLM applications and model evaluation.

Responsibilities

  • Assist in development, training, and fine-tuning of ML models.
  • Handle large datasets, data cleaning, feature engineering and preparation.
  • Implement and optimize deep learning models with TensorFlow or PyTorch.
  • Collaborate on NLP/LLM and predictive analytics projects.
  • Deploy AI models into production with API services and monitoring.
  • Experiment, analyze results, and improve model accuracy and latency.

Skills

ML Algorithms
Deep Learning
PyTorch
TensorFlow
Model Development
NLP & LLMs
Python
Pandas
NumPy
Experimentation

Education

Bachelor’s or Master’s in CS/AI/DS

Tools

Scikit-learn
SpaCy
Hugging Face
Keras

Job description

YipitData is seeking an AI Engineer to join our remote team based in India. You will develop, train, and fine-tune ML models, work with large datasets, and deploy AI solutions into production with API services.

You will collaborate with software engineers and researchers on NLP, LLMs, and predictive analytics, and you will experiment to improve accuracy, latency, and scalability while staying current with AI advances.

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