AI/ML Engineer- Plano TX (Hybrid)

Hybrid in Plano, TX, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Contract Corp To Corp
No Travel Required
Hybrid
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • AI/ML
  • Python
  • Angular
  • React

Summary

Role: AI/ML Engineer
Location: Plano TX (Hybrid)
Duration: 12+ Month
 
Years of Experience - 8 years Plus
 
Required Skills and Qualifications:

·  Bachelors or master’s degree in computer science, Data Science, Artificial Intelligence, or related field.

·  Proven experience as an AI/ML Architect, Data Scientist, or Machine Learning Engineer.

·  Strong expertise in machine learning algorithms, deep learning, natural language processing, and computer vision. Proficiency with AI/ML frameworks and libraries such as TensorFlow, Pytorch, Scikit-learn, or similar.

·  Experience with cloud AI/ML services (AWS SageMaker, Google AI Platform, Azure ML).

·  Knowledge of data engineering, big data technologies, and data pipeline design.

·  Strong programming skills in Python, R, or Java.

·  Familiarity with containerization (Docker, Kubernetes) and CI/CD for ML workflows.

 

1.      Core AI/ML Technical Expertise

·  These are non-negotiable for the role:

·  Strong knowledge of machine learning algorithms

·  Proven experience with deep learning Expertise in Natural Language Processing (NLP)

·  Expertise in Computer Vision Experience building end‑to‑end AI/ML models (data prep → training → deployment → monitoring)

2.      AI/ML Tools, Frameworks & Libraries Candidates must have hands-on proficiency with: TensorFlow Pytorch Scikit-learn Other modern ML libraries as needed

3.      Cloud AI/ML Platforms Experience with at least one major cloud ecosystem: AWS SageMaker Google AI Platform Azure ML (important if your company is MS‑driven)

4.      Programming Skills Strong coding background in: Python (must-have) R or Java (secondary but required in the JD) 5. Data Engineering & Big Data Mandatory understanding of data workflows: Data pipeline design & orchestration Big data technologies (e.g., Spark, Hadoop, Kafka) Data preprocessing and feature engineering at scale

5.      Architecture & System Design Clear ability to architect: Scalable AI/ML systems Model deployment pipelines Real-time or batch inference systems Integration with existing enterprise infrastructure

 

Thanks

Aabhas Jain

Technical Recruiter | Empower Professionals

......................................................................................................................................

| Phone:  x 360

LinkedIn:

Fax: | 100 Franklin Square Drive – Suite 104 Somerset, NJ 08873

Certified NJ and NY Minority Business Enterprise (NMSDC)

 

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: 10120856
  • Position Id: 8918336
  • Posted 2 hours ago
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