Machine Learning Engineer

Tiger Analytics; New Jersey; Remote; USD 100,000 - 130,000; Full time

Job summary

A leading analytics consulting firm is seeking a talented Machine Learning Engineer proficient in Google Cloud Platform (GCP) and Vertex AI. This remote position requires collaboration on ML models and developing scalable AI solutions. Ideal candidates will have proven experience in model development, API development, and CI/CD in Python. Join a dynamic team and contribute to cutting-edge projects in AI!

Benefits

Significant career development opportunities

Work remotely

Dynamic team environment

Qualifications

• 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.

Responsibilities

• 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.

Skills

Google Cloud Platform (GCP) Experience

Google Vertex AI Expertise

Model Development & Deployment

API Development

Python Programming with CI/CD

Job description

Overview

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.

Role

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

• 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

• Google Cloud Platform (GCP) Experience: Strong proficiency in GCP services, including data engineering and machine learning tools.
• Google Vertex AI Expertise: Hands-on experience with model training, deployment, and optimization using Vertex AI.
• Model Development & Deployment: Proven ability to design, build, and productionize machine learning models.
• API Development: Skilled in developing robust APIs for seamless integrations.
• Python Programming with CI/CD: 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.