Remote AI Engineer | NLP/LLMs & ML Deployment

YipitData; United States; A distancia; USD 16.000 - 26.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Vacation time

Parental leave

Team events

Learning reimbursement

Descripción de la vacante

YipitData is seeking an AI Engineer for a fully-remote role based in India. You will lead development, training, and fine-tuning of ML models, working with large datasets, and deploying AI solutions in production environments. The role emphasizes NLP, LLMs, and predictive analytics.

You will collaborate with engineers, stay updated with AI advancements, and contribute to high-impact projects with real business outcomes. A strong foundation in Python and ML frameworks is essential.

Formación

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field.
• 3–4 years of relevant hands-on work experience.
• Strong grasp of machine learning algorithms and deep learning models.
• Hands-on experience with Python and AI frameworks (TensorFlow or PyTorch).
• Familiarity with data processing libraries like Pandas, NumPy, and regex patterns.

Responsabilidades

• Assist in the development, training, and fine-tuning of ML models.
• Work with large datasets, including cleaning, preprocessing, feature engineering, and preparing training data.
• Implement and optimize deep learning models using TensorFlow, PyTorch, or Scikit-learn.
• Support R&D of AI applications in NLP, LLMs, and predictive analytics.
• Collaborate with software engineers to deploy AI models into production environments and APIs.
• Conduct experiments, analyze results, and improve model accuracy, efficiency, and latency.

Conocimientos

ML Algorithms

Deep Learning

NLP

PyTorch

TensorFlow

Python

Pandas & NumPy

MLOps

Model Evaluation

Cloud AI

Educación

Bachelor’s or Master’s in CS/AI/Data Science

Herramientas

AWS SageMaker

Vertex AI

Azure AI

Scikit-learn

Descripción del empleo

YipitData is seeking an AI Engineer for a fully-remote role based in India. You will lead development, training, and fine-tuning of ML models, working with large datasets, and deploying AI solutions in production environments. The role emphasizes NLP, LLMs, and predictive analytics.

You will collaborate with engineers, stay updated with AI advancements, and contribute to high-impact projects with real business outcomes. A strong foundation in Python and ML frameworks is essential.