AI Engineer

Overview

Remote
$70 - $100
Full Time
No Travel Required

Skills

Python
Deep Learning
Machine Learning (ML)
Continuous Integration
Amazon SageMaker
Clustering
Machine Learning Operations (ML Ops)
Natural Language Processing
Innovation
Workflow
Systems Design
Artificial Intelligence
Performance Tuning
TensorFlow

Job Details

At Tech Brothers Info Services, we are passionate about delivering cutting-edge IT solutions, empowering organizations through innovation, and supporting career growth for technology professionals across the globe. Our mission is to drive transformation through advanced technologies like AI, Cloud, DevOps, and Automation while nurturing a culture of continuous learning, diversity, and inclusion.

We serve clients across various industries, providing consulting, development, and implementation services with a people-first approach. Join our dynamic team and become part of a future-forward company that values expertise, collaboration, and curiosity.
Job Title: AI Engineer
Location: Remote (USA)
Visa Status: Open to All Visa Types
Compensation: Hourly Rate Based on Market Standards
Job Type: W2/Corp-to-Corp/1099 Contract

Role Summary:

We are looking for a highly skilled AI Engineer to join our innovation-driven team. You'll help design, develop, and deploy machine learning models and AI applications that power automation, predictions, and intelligent decision-making systems across diverse industries.

Key Responsibilities:

  • Build, train, and deploy machine learning models using TensorFlow, PyTorch, or Scikit-learn.

  • Work with structured and unstructured data to build predictive analytics solutions.

  • Collaborate with data engineers and software developers to integrate AI into production systems.

  • Design and implement MLOps workflows for continuous integration and deployment of AI models.

  • Conduct model validation, tuning, and performance optimization.

Qualifications:

  • 3+ years in AI/ML development roles.

  • Strong coding skills in Python, and experience with ML frameworks.

  • Solid grasp of ML concepts like classification, clustering, NLP, and deep learning.

  • Hands-on experience with cloud-based ML tools (AWS SageMaker, Google Vertex AI, etc.)

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.