Machine Learning Engineer

Tiger Analytics; Toronto; Remote; CAD 80,000 - 120,000; Full time

Job summary

Join a forward-thinking analytics consulting firm as a Machine Learning Engineer, where you'll work remotely on cutting-edge AI projects. This role offers the chance to collaborate with a passionate team, leveraging Google Cloud technologies to build and optimize scalable machine learning solutions. You'll be at the forefront of innovation, contributing to impactful projects that drive business value from data. If you're ready to advance your career in a dynamic environment, this opportunity is perfect for you.

Benefits

Career development opportunities

Remote work flexibility

Cutting-edge technology access

Qualifications

• Proficiency in GCP services and machine learning tools.
• Hands-on experience with model training and deployment.

Responsibilities

• Collaborate with teams to design and deploy ML models.
• Develop scalable code for AI/ML applications.

Skills

GCP Experience

Vertex AI Expertise

Model Development & Deployment

API Development

Python & CI/CD

Tools

Google Cloud Platform

Vertex AI

Job description

Job Description: Machine Learning Engineer at Tiger Analytics

Tiger Analytics is an advanced analytics consulting firm, trusted by several Fortune 100 companies to generate business value from data. Our expertise spans Data Science, Machine Learning, and AI, with recognition from Forrester and Gartner.

We are seeking two talented Machine Learning Engineers with expertise in Google Cloud Platform (GCP) and Vertex AI to join our fully remote team. If you excel in building and deploying scalable AI solutions, this role is ideal for you.

What You'll Do:

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

Requirements:

• GCP Experience: Proficiency in GCP services, including data engineering and machine learning tools.
• Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization.
• Model Development & Deployment: Proven ability to design, build, and productionize ML models.
• API Development: Skilled in developing robust APIs for seamless integrations.
• Python & CI/CD: Experience with Python applications and implementing CI/CD pipelines.

Why Join Us?

• Work remotely on cutting-edge projects.
• Collaborate with a passionate AI/ML team.
• Use the latest Google Cloud technologies.

Ready to advance your career? Apply now and help shape the future of AI!

Benefits:

Significant career development opportunities in a fast-growing, entrepreneurial environment with high individual responsibility.

Additional Details:

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