Machine Learning Engineer - Predictive Analytics

Placements24; Queenstown; Hybride; NZD 120 000 - 170 000; Plein temps

Avantages offerts par ce poste

Competitive salary

Health benefits

Incentives

Remote autonomy

Work-life balance

Learning opportunities

Paid time off

Wellness programs

Résumé du poste

Placements24 is seeking a skilled Machine Learning Engineer specializing in predictive analytics for a fully remote role. You will design and deploy scalable ML models, build data pipelines, and collaborate with data scientists and software engineers to integrate ML into products.

The ideal candidate has 3+ years in ML engineering, strong Python expertise, and a solid foundation in statistics, time-series, and cloud concepts.

Qualifications

• 3+ years hands-on ML engineering with predictive modeling focus.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch, Keras).
• Strong background in statistical modeling, regression, classification, and time-series.
• Experience with SQL and handling large datasets; cloud familiarity a plus.

Responsabilités

• Design, build, and maintain scalable ML models for predictive analytics.
• Develop data pipelines for model training, evaluation, and deployment.
• Perform feature engineering and selection to improve model performance.
• Monitor and fine-tune deployed models to ensure accuracy and relevance.
• Collaborate with data scientists and software engineers to integrate ML into products.
• Conduct experiments to test new algorithms and approaches in predictive modeling.
• Communicate model results and insights to stakeholders clearly.
• Stay updated on advancements in ML and predictive analytics.

Connaissances

ML engineering

Python & ML libs

Statistics & time-series

SQL

Cloud platforms

Problem solving

Communication

Formation

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

Outils

scikit-learn

TensorFlow

PyTorch

Keras

Description du poste

About the Role

Our client, a forward-thinking company in AI and Emerging Technologies, is seeking a skilled Machine Learning Engineer specializing in Predictive Analytics. This is a fully remote position, enabling you to contribute your expertise from anywhere while working on cutting-edge projects. You will be instrumental in developing, deploying, and optimizing machine learning models that forecast future trends and drive data-informed decisions. This role requires a strong foundation in statistical modeling, programming, and a passion for solving complex problems with AI. Join a collaborative team focused on innovation and delivering impactful analytical solutions. Your work will directly contribute to our client's competitive advantage through advanced analytics.

Key Responsibilities

• Design, build, and maintain scalable machine learning models for predictive analytics.
• Develop data pipelines for model training, evaluation, and deployment.
• Perform feature engineering and selection to improve model performance.
• Monitor and fine-tune deployed models to ensure accuracy and relevance.
• Collaborate with data scientists and software engineers to integrate ML solutions into products and systems.
• Conduct experiments to test new algorithms and approaches in predictive modeling.
• Communicate model results and insights to stakeholders in a clear and concise manner.
• Stay updated on the latest advancements in machine learning and predictive analytics.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 3+ years of hands-on experience in machine learning engineering, with a focus on predictive modeling.
• Proficiency in Python and relevant ML libraries (e.g., scikit-learn, TensorFlow, PyTorch, Keras).
• Strong understanding of statistical modeling, regression, classification, and time-series analysis.
• Experience with SQL and working with large datasets.
• Familiarity with cloud platforms (AWS, Azure, GCP) and MLOps concepts is a plus.
• Excellent problem-solving and analytical skills.
• Strong communication skills for effective remote collaboration.
• While this role is remote, understanding of the Queenstown, Eastern Cape context may be advantageous.

Benefits

• competitive salary
• comprehensive health benefits
• performance-based incentives
• flexibility and autonomy of a fully remote position
• fostering excellent work-life balance
• opportunities for continuous learning, including access to online courses and industry events
• talented and supportive team of AI professionals
• dedicated to innovation and career growth
• generous paid time off
• wellness programs

Join a dynamic team and make a significant impact in the field of predictive analytics from anywhere.