NLP ML Engineer: Build Text Insights & Scalable Pipelines

Infoesearch Ites; United States; Hybrid; USD 120,000 - 170,000; Full time

Job summary

Infoesearch Ites is hiring to design, develop, and deploy machine learning models for NLP tasks including text classification and sentiment analysis. You will collaborate with cross-functional teams to integrate models into larger applications and systems.

The role involves building and maintaining large-scale data pipelines for data collection, preprocessing, and preparing data for model training, plus thorough testing to ensure accuracy and reliability.

Qualifications

• Strong experience in ML/NLP model development.
• Proficiency in Python and ML frameworks.
• Experience building and maintaining data pipelines for model training.

Responsibilities

• Design, develop, and deploy ML models for NLP tasks such as text classification, sentiment analysis, and entity resolution.
• Collaborate with cross-functional teams to integrate ML models into applications and systems.
• Develop and maintain large-scale data pipelines for data collection, preprocessing, and preparation for ML training.
• Conduct thorough testing and evaluation of ML models to ensure high accuracy and reliability.

Skills

ML/NLP engineering

Python

Data pipelines

Tools

TensorFlow

PyTorch

Spark

Job description

Infoesearch Ites is hiring to design, develop, and deploy machine learning models for NLP tasks including text classification and sentiment analysis. You will collaborate with cross-functional teams to integrate models into larger applications and systems.

The role involves building and maintaining large-scale data pipelines for data collection, preprocessing, and preparing data for model training, plus thorough testing to ensure accuracy and reliability.