AI/ML Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Engineer on a W2 contract in Dallas, TX, lasting 6+ months. Pay rate is competitive. Requires 4-6+ years in AI/ML, proficiency in Python and MLOps tools, and experience with cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
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🗓️ - Date discovered
May 28, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
W2 Contractor
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Dallas, TX
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🧠 - Skills detailed
#ML (Machine Learning) #AI (Artificial Intelligence) #Transformers #Model Deployment #Forecasting #Cloud #Data Science #Azure #Libraries #TensorFlow #Deployment #Computer Science #Classification #"ETL (Extract #Transform #Load)" #Data Pipeline #SageMaker #AWS (Amazon Web Services) #NLP (Natural Language Processing) #MLflow #Python #PyTorch #GCP (Google Cloud Platform)
Role description
Position: AI/ML Engineer
Type: W2 Contract (No C2C)
Location: Dallas,TX
We re looking for an experienced AI/ML Engineer to design, build, and deploy machine learning models and AI solutions that power intelligent decision-making across our digital platforms. This role is ideal for someone passionate about data science, applied machine learning, and production-ready AI systems.
Responsibilities:
• Design and develop ML models for classification, prediction, NLP, or recommendation systems
• Implement and optimize data pipelines to support training and inference workflows
• Deploy models to production using MLOps practices and tools
• Collaborate with data scientists, engineers, and product teams to solve business challenges
• Monitor model performance, retraining, and versioning
• Conduct experiments, model tuning, and feature engineering
Required Skills:
• 4 6+ years of experience in AI/ML engineering or data science roles
• Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, or Transformers
• Strong experience with NLP, computer vision, or time-series forecasting
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow)
• Experience working with cloud platforms like AWS, Google Cloud Platform, or Azure
• Understanding of data pipelines, APIs, and CI/CD for model deployment
• Bachelor s or Master s in Computer Science, Data Science, or related field
Position: AI/ML Engineer
Type: W2 Contract (No C2C)
Location: Dallas,TX
We re looking for an experienced AI/ML Engineer to design, build, and deploy machine learning models and AI solutions that power intelligent decision-making across our digital platforms. This role is ideal for someone passionate about data science, applied machine learning, and production-ready AI systems.
Responsibilities:
• Design and develop ML models for classification, prediction, NLP, or recommendation systems
• Implement and optimize data pipelines to support training and inference workflows
• Deploy models to production using MLOps practices and tools
• Collaborate with data scientists, engineers, and product teams to solve business challenges
• Monitor model performance, retraining, and versioning
• Conduct experiments, model tuning, and feature engineering
Required Skills:
• 4 6+ years of experience in AI/ML engineering or data science roles
• Proficiency in Python, with libraries like TensorFlow, PyTorch, Scikit-learn, or Transformers
• Strong experience with NLP, computer vision, or time-series forecasting
• Familiarity with MLOps tools (e.g., MLflow, SageMaker, Vertex AI, Kubeflow)
• Experience working with cloud platforms like AWS, Google Cloud Platform, or Azure
• Understanding of data pipelines, APIs, and CI/CD for model deployment
• Bachelor s or Master s in Computer Science, Data Science, or related field
