Machine Learning Engineer

Tiger Analytics; Chicago (IL); Remote; USD 80,000 - 130,000; Full time

Job summary

An advanced analytics consulting firm seeks talented Machine Learning Engineers to join their innovative team. This fully remote position offers the chance to work with cutting-edge technologies on scalable AI solutions. You'll collaborate with cross-functional teams to design and deploy machine learning models while optimizing performance using Google Cloud Platform and Vertex AI. Join a dynamic environment that values individual contribution and career growth, and be part of shaping the future of AI with a trusted partner for Fortune 100 companies.

Qualifications

• Proven ability to design, build, and productionize machine learning models.
• Hands-on experience with model training, deployment, and optimization using Vertex AI.

Responsibilities

• Collaborate with cross-functional teams to design and deploy ML models.
• Leverage GCP services to build end-to-end machine learning pipelines.

Skills

Google Cloud Platform (GCP)

Vertex AI

Python

CI/CD Pipelines

Machine Learning

Data Engineering

API Development

Job description

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

Are you a Machine Learning Engineer with expertise in Google Cloud Platform (GCP) and Vertex AI? We are looking for two talented professionals to join our team in a fully remote, onshore capacity. If you thrive in building and deploying scalable AI solutions, this role is for you!

What You'll Do:

1. Collaborate with cross-functional teams to design and deploy ML models.
2. Develop reusable, scalable code for AI/ML applications.
3. Leverage GCP services to build end-to-end machine learning pipelines.
4. Optimize models for performance and scalability using Vertex AI.

Requirements

Key Requirements:

• Strong proficiency in GCP services, including data engineering and machine learning tools.
• Hands-on experience with model training, deployment, and optimization using Vertex AI.
• Proven ability to design, build, and productionize machine learning models.
• Skilled in developing robust APIs for seamless integrations.
• Experience in Python-based applications and implementing CI/CD pipelines.

Why Join Us?

• Work remotely while contributing to cutting-edge projects.
• Collaborate with a dynamic team passionate about AI/ML innovation.
• Opportunity to work with the latest Google Cloud technologies.

Ready to take the next step? Apply now and be part of a team that's shaping the future of AI!

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Engineering and Information Technology
• Industries: IT Services and IT Consulting