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AI Engineer

Dallas, TX, US • Posted 2 days ago • Updated 11 hours ago

Contract Independent

Contract W2

Contract Corp To Corp

No Travel Required

On-site

65+

Fitment

Dice Job Match Score™

🤯 Applying directly to the forehead...

Job Details

Skills

Agentic AI

Summary

Role Summary

Design, build, and deploy AI/ML systems that power products and automate workflows. Own models end-to-end—from data to production.

Key Responsibilities

• Develop and train ML/DL models (NLP, CV, or tabular)

• Build data pipelines and feature engineering workflows

• Deploy models via APIs/microservices (cloud or on-prem)

• Integrate AI into products and existing systems

• Monitor model performance, drift, and reliability

• Optimize models for scale, latency, and cost

• Collaborate with product, engineering, and domain teams

Required Skills

• Strong Python (NumPy, Pandas, PyTorch/TensorFlow, scikit-learn)

• Solid ML fundamentals (supervised/unsupervised, evaluation, tuning)

• Experience with LLMs, prompt engineering, or fine-tuning (preferred)

• API development (FastAPI/Flask) and microservices

• Cloud platforms: AWS / Azure / Google Cloud Platform

• Data handling (SQL, ETL, large datasets)

• Versioning & MLOps (Git, Docker, CI/CD, MLflow)

Agentic AI should include -

MCP(Model context protocol) , A2A (Agent to Agent) etc is also required to show the depth

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: 91163703
Position Id: 8939844
Posted 2 days ago

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