AI/ML Engineer

Overview

Hybrid
Depends on Experience
Contract - W2
Contract - Independent
Contract - 12 Month(s)
Able to Provide Sponsorship

Skills

Python programming
AWS SageMaker
Azure ML
numpy

Job Details

Role: AI/ML Engineer

Pay: DOE

Location: TX, USA ||Relocation also acceptable.

Job Details

We are looking for an AI/ML Engineer who can build, train, and deploy machine learning models for real-world use cases. The ideal candidate has hands-on experience in machine learning algorithms, model tuning, and production deployment.

Key Responsibilities:

Develop and implement machine learning models.

Collaborate with data scientists and software engineers.

Deploy models using APIs or containerized environments (Docker, Kubernetes).

Work with cloud-based ML tools (e.g., AWS SageMaker, Azure ML, Google Cloud Platform AI Platform).

Skills & Experience:

Strong Python programming (NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch).

Understanding of supervised, unsupervised, and deep learning models.

Experience with model evaluation and tuning.

Familiarity with Git, APIs, and cloud platforms.

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.