Remote AI/ML Engineer - Cloud Platforms

Placements24; Queenstown; Hybrid; NZD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Health & wellness benefits

Generous paid time off

Fully remote work

Professional development

Global team experience

Job summary

Placements24 is seeking an AI/ML Engineer to join a globally distributed, remote-first team. You will own end-to-end ML projects, from data prep and model development to deployment and monitoring on cloud platforms.

Strong Python and ML library skills, plus cloud experience (AWS/Azure/GCP), are essential for building scalable AI systems. You will collaborate with data scientists and software engineers, enhance MLOps practices, and stay current with AI advancements.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or related quantitative field.
• 3+ years of experience in machine learning engineering or similar role.
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and its ML services.
• Strong understanding of ML algorithms, data structures, and software engineering principles.

Responsibilities

• Design, build, and deploy machine learning models and AI systems.
• Develop and maintain data pipelines for ML model training and inference.
• Implement and manage ML models on cloud infrastructure (AWS, Azure, GCP).
• Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
• Optimize model performance, scalability, and efficiency.
• Develop and implement MLOps best practices for CI, CD, and monitoring.
• Stay current with advancements in AI, ML, and cloud technologies.
• Participate in code reviews and contribute to technical direction.
• Troubleshoot and resolve issues related to ML models and infrastructure.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Cloud platforms

ML algorithms

Data pipelines

Docker

Kubernetes

Problem-solving

Communication

Education

Bachelor's or Master's degree in CS/Engineering/Statistics

Tools

Docker

Kubernetes

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

About the Role

Our client, a cutting-edge firm in the AI & Emerging Technologies space, is seeking a talented AI/ML Engineer to join their globally distributed team. This position is fully remote, offering unparalleled flexibility to individuals passionate about developing and deploying advanced artificial intelligence and machine learning models. You will be responsible for the end-to-end lifecycle of ML projects, from data preparation and model development to deployment and monitoring on cloud platforms. The ideal candidate has a strong foundation in ML algorithms, practical experience with cloud services (AWS, Azure, or GCP), and a knack for building scalable and efficient AI systems. This is an exciting opportunity to work with a diverse, remote-first team on innovative projects that are pushing the boundaries of what's possible with AI, regardless of your physical location. We are dedicated to fostering a collaborative and inclusive remote work environment.

Key Responsibilities

• Design, build, and deploy machine learning models and AI systems.
• Develop and maintain data pipelines for ML model training and inference.
• Implement and manage ML models on cloud infrastructure (AWS, Azure, GCP).
• Collaborate with data scientists and software engineers to integrate ML solutions into production systems.
• Optimize model performance, scalability, and efficiency.
• Develop and implement MLOps best practices for continuous integration, delivery, and monitoring.
• Stay current with the latest advancements in AI, machine learning, and cloud technologies.
• Participate in code reviews and contribute to the overall technical direction of the team.
• Troubleshoot and resolve issues related to ML models and infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• 3+ years of experience in machine learning engineering or a similar role.
• Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and its ML services.
• Strong understanding of ML algorithms, data structures, and software engineering principles.
• Experience with containerization technologies (Docker, Kubernetes) is a plus.
• Excellent problem-solving skills and ability to work independently.
• Strong communication skills, essential for a remote team environment.
• Ability to thrive in a fast-paced, dynamic, and fully remote setting.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive health and wellness benefits package.
• Generous paid time off and flexible working hours.
• Opportunity to work on exciting, cutting-edge AI projects with a global team.
• Fully remote work arrangement, offering significant work-life balance.
• Professional development opportunities and support for continuous learning.
• Be a core contributor to a leading AI & Emerging Technologies company, working remotely.