AI/ML Engineer - Predictive Analytics

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

Benefits offered by this job

Fully remote work arrangement

Competitive salary and incentives

Professional development opportunities

Job summary

Placements24 is seeking an AI/ML Engineer in a fully remote role based in New Zealand. You will develop and deploy predictive machine learning models, work with large datasets, and collaborate with data scientists to translate data into actionable insights.

Requirements include a Bachelor's or Master's in a quantitative field, strong Python skills with scikit-learn, pandas, NumPy, SQL, and experience with TensorFlow or PyTorch. Cloud experience (AWS/Azure/GCP) is a plus.

Qualifications

• Proven experience as AI/ML Engineer or Data Scientist focusing on predictive modeling.
• Strong Python programming with libraries: scikit-learn, pandas, NumPy.
• SQL proficiency for data extraction and manipulation.
• Experience with ML frameworks like TensorFlow or PyTorch is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.

Responsibilities

• Develop and deploy predictive ML models for business insights.
• Process and analyze large datasets to identify trends and build models.
• Perform feature engineering to improve model performance.
• Build and maintain data pipelines for model training and inference.
• Collaborate with stakeholders to translate business needs into analytical objectives.
• Monitor model performance and retrain as needed.
• Document models, code, and processes thoroughly.

Skills

Python

ML algorithms

Data analysis

Communication

Education

Bachelor's or Master's in CS/Math/Stats

Tools

scikit-learn

pandas

NumPy

TensorFlow or PyTorch

Job description

About the Role

Our client, a leader in data-driven business intelligence, is seeking a talented AI/ML Engineer to focus on predictive analytics. This role is based in Queenstown, Eastern Cape , and offers a fully remote work arrangement. You will be responsible for developing, implementing, and deploying machine learning models that provide critical insights and predictions for business operations. This is an excellent opportunity to work with large datasets, cutting-edge algorithms, and contribute directly to strategic decision-making. You will collaborate with data scientists and business analysts to translate complex data into actionable predictions. As a remote professional, you will manage your workload effectively and maintain strong communication with the team.

Key Responsibilities

• Develop and deploy predictive machine learning models.
• Clean, process, and analyze large datasets to identify trends and build models.
• Implement feature engineering techniques to improve model performance.
• Build and maintain robust data pipelines for model training and inference.
• Collaborate with stakeholders to understand business needs and define analytical objectives.
• Monitor model performance and retrain as necessary.
• Evaluate and implement new algorithms and technologies.
• Document models, code, and processes thoroughly.
• Contribute to the continuous improvement of our client's AI/ML infrastructure.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience as an AI/ML Engineer or Data Scientist with a focus on predictive modeling.
• Strong programming skills in Python and experience with libraries like scikit-learn, pandas, and NumPy.
• Proficiency in SQL for data extraction and manipulation.
• Solid understanding of various machine learning algorithms (regression, classification, time series analysis).
• Experience with ML frameworks such as TensorFlow or PyTorch is a plus.
• Familiarity with cloud platforms (AWS, Azure, GCP) is advantageous.
• Excellent problem-solving skills and attention to detail.
• Effective communication and collaboration abilities in a remote setting.

Benefits

• Competitive salary and performance incentives.
• Comprehensive health and retirement benefits.
• Opportunities for professional development and training.
• Fully remote work arrangement.
• Chance to work on impactful predictive analytics projects.
• Collaborative and supportive team environment.
• Work with modern data science tools and technologies.