Machine Learning Infrastructure Architect

3 weeks ago


Chicago, Illinois, United States Inspire11 Full time
Job Overview

At Inspire11, we believe in harnessing the power of machine learning to drive business innovation. As a Machine Learning Engineer, you will play a pivotal role in designing scalable infrastructure for our clients.

Responsibilities
- Designing robust machine learning pipelines for model deployment
- Developing Generative AI solutions for real-world applications
- Collaborating with cross-functional teams to ensure seamless integration of ML models
- Monitoring models in production and optimizing their performance
- Communicating results to stakeholders and providing actionable insights

Requirements
- Strong software engineering principles and cloud architecture expertise (AWS, Azure, GCP)
- Proficiency in data preprocessing and ML techniques
- Experience with model evaluation and libraries like TensorFlow, PyTorch
- Agile methodologies understanding and DevOps knowledge

What You'll Get
- Competitive salary: $140,000 - $160,000 per year
- Opportunities for professional growth and skill development
- Flexible work arrangements and unlimited time off
- Collaborative work environment with passionate team members

This role requires occasional onsite work at client locations. Please note that candidates must be authorized to work in the US and are unable to sponsor employment visas.

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