Senior Machine Learning Engineer

Placements24; Queenstown; Hybrid; NZD 120,000 - 180,000; Full time

Job summary

Placements24 is seeking a Senior Machine Learning Engineer to join a globally distributed, remote-first team. You'll design, build, deploy scalable ML models, and collaborate with data scientists, software engineers, and product managers to solve real-world problems from any location.

You will optimize model performance, develop ML pipelines, and stay abreast of the latest AI advancements. A strong research mindset and excellent communication are essential for success in this remote role with

Qualifications

• Master's or PhD in Computer Science, Statistics, Mathematics, or related field.
• 5+ years of experience in machine learning engineering or related role.
• Strong programming in Python and ML libraries (TensorFlow, PyTorch, scikit-learn).
• Proficiency with data tools (Pandas, NumPy) and cloud ML services.
• Experience with ML deployments and MLOps practices.

Responsibilities

• Design, develop, and implement scalable ML models and algorithms.
• Preprocess, clean, and analyze large datasets to extract features.
• Deploy ML models into production and monitor performance.
• Collaborate with data scientists, software engineers, and product managers.
• Research and evaluate new ML technologies, techniques, and tools.
• Optimize model performance and efficiency.
• Develop and maintain ML pipelines and infrastructure.
• Contribute to the architectural design of ML systems.
• Stay current with advances in ML and AI; mentor junior engineers.

Skills

Python programming

Communication

Analytical thinking

Education

Master's or PhD in CS/Statistics/Mathematics

Tools

TensorFlow

PyTorch

scikit-learn

Pandas

NumPy

AWS

Azure

GCP

Job description

About the Role

Our client, a pioneer in AI-driven analytics, is looking for a Senior Machine Learning Engineer to join their globally distributed team. This is a fully remote position, offering the flexibility to work from your preferred location while contributing to groundbreaking AI research and development. You will be responsible for designing, building, and deploying machine learning models that solve complex real-world problems. This role emphasizes innovation and collaboration within a remote-first culture. While Queenstown, Eastern Cape is mentioned for context, this role is accessible to candidates worldwide who are seeking a challenging and rewarding career in machine learning. If you are passionate about leveraging AI to drive insights and create intelligent solutions, this is an exceptional opportunity to join a leading company in the field.

Key Responsibilities

• Design, develop, and implement scalable machine learning models and algorithms.
• Preprocess, clean, and analyze large datasets to extract meaningful features.
• Deploy ML models into production environments and monitor their performance.
• Collaborate with data scientists, software engineers, and product managers to define project requirements and objectives.
• Research and evaluate new ML technologies, techniques, and tools.
• Optimize model performance and efficiency.
• Develop and maintain ML pipelines and infrastructure.
• Contribute to the architectural design of ML systems.
• Stay abreast of the latest advancements in the field of machine learning and AI.
• Mentor junior engineers and contribute to knowledge sharing.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 5+ years of experience in machine learning engineering or a related role.
• Strong programming skills in Python and experience with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Proficiency in data manipulation and analysis tools (e.g., Pandas, NumPy).
• Experience with cloud platforms (AWS, Azure, GCP) and ML services.
• Solid understanding of various machine learning algorithms and statistical modeling techniques.
• Experience with model deployment and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong communication and collaboration skills, ideal for a remote work setting.
• Published research or contributions to open-source ML projects are a plus.

Benefits

This fully remote role offers a highly competitive salary, comprehensive health benefits, opportunities for professional development and conference attendance, and the chance to work on cutting-edge AI projects. Join a globally recognized leader in AI and contribute to shaping the future of intelligent systems, regardless of your physical location. The role is designed for individuals seeking autonomy and impact in their careers, with Queenstown, Eastern Cape serving as an administrative point.