AI/ ML Engineer

Hybrid in Dallas, TX, US • Posted 20 hours ago • Updated 20 hours ago

Contract W2

No Travel Required

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

Amazon Web Services
Artificial Intelligence
Cloud Computing
Collaboration
Computer Science
Deep Learning
Google Cloud
Docker
Google Cloud Platform
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Microsoft Azure
Natural Language Processing
Python
PyTorch
scikit-learn
TensorFlow

Summary

Job Summary:
Experience with 12+ experience and Design, develop, and deploy Machine Learning and AI models to solve business problems and integrate them into production systems.

Key Responsibilities:

Build and deploy ML/DL models.
Develop end-to-end ML pipelines.
Perform data preprocessing, feature engineering, and model tuning.
Deploy models using MLOps practices.
Collaborate with data and software teams.

Required Skills:

Strong Python programming.
Experience with TensorFlow / PyTorch / Scikit-learn
Knowledge of NLP/Deep Learning.
Experience with Docker & Kubernetes
Exposure to cloud platforms like AWS / Microsoft Azure / Google Cloud Platform

Education: Bachelor’s/Master’s in Computer Science or related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10477291
Position Id: 8894714
Posted 20 hours ago

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AI/ ML Engineer

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Job Details

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