AI/ML Engineer- Plano TX (Hybrid)

About

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Empower Professionals, is seeking the following. Apply via Dice today!

Role Details

• 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.

Core AI/ML Technical Expertise

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)

AI/ML Tools, Frameworks & Libraries

Candidates must have hands‑on proficiency with:

• TensorFlow
• Pytorch
• Scikit-learn
• Other modern ML libraries as needed

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)

Programming Skills

Strong coding background in:

• Python (must‑have)
• R or Java (secondary but required in the JD)

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

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

Contact

• 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)