Senior Machine Learning Engineer - Predictive Modeling

Placements24; Willows (CA); Hybrid; USD 54.000 - 108.000; Vollzeit

Zusammenfassung

Placements24 is seeking a Senior Machine Learning Engineer in Welkom, South Africa, offering a hybrid work arrangement. You will design and deploy predictive ML models, build data pipelines, and collaborate with data scientists, software engineers, and product managers to solve business problems.

Ideal candidates hold a Master’s or PhD in a quantitative field, with 4+ years of ML experience and strong Python plus TensorFlow, PyTorch, or scikit-learn skills.

Qualifikationen

• Master's or PhD in a quantitative field such as Computer Science, Statistics or Mathematics.
• 4+ years of experience as a ML Engineer or similar role focused on building and deploying ML models.
• Strong understanding of statistical modeling and supervised/unsupervised learning algorithms.
• Proficiency in Python and ML libraries (scikit-learn, TensorFlow, Keras, PyTorch).
• Experience with big data tech (Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid software engineering practices including version control (Git) and testing methodologies.
• Excellent analytical and problem-solving abilities and strong communication skills.
• Demonstrated ability to work effectively in a team environment in Welkom, Free State.
• Experience with MLOps is highly desirable.

Aufgaben

• Design, develop, and implement advanced ML models for predictive analytics and forecasting.
• Build and maintain robust data pipelines for model training and inference.
• Perform feature engineering, model selection, and hyperparameter tuning.
• Deploy ML models into production with scalable infrastructure.
• Collaborate with data scientists, software engineers, and product managers to translate needs into ML solutions.
• Monitor model performance and plan retraining and improvement strategies.
• Conduct A/B testing and experiments to evaluate model impact.
• Stay updated on ML and data science advancements.
• Document models, methodologies, and results thoroughly.

Kenntnisse

Statistical modeling

Machine learning algorithms

Python

scikit-learn

TensorFlow

Keras

PyTorch

Big data

Cloud platforms

Ausbildung

Master's degree in Computer Science / Statistics / Mathematics

PhD (preferred)

Tools

Spark

Hadoop

AWS

Azure

GCP

Git

MLflow

Jobbeschreibung

About the Role

Our client is seeking an accomplished Senior Machine Learning Engineer with a specialization in predictive modeling to join their innovative team. This role is central to developing and deploying sophisticated machine learning models that drive critical business decisions and enhance user experiences. Located in Welkom, Free State , this position offers a chance to work on challenging data problems with a team of talented engineers and data scientists. The ideal candidate will have a strong background in statistical modeling, algorithm development, and deploying ML solutions into production environments. This role offers a hybrid work arrangement, balancing focused individual work with essential team collaboration, contributing to a dynamic and productive atmosphere in Welkom, Free State .

Key Responsibilities

• Design, develop, and implement advanced machine learning models for predictive analytics, forecasting, and recommendation systems.
• Build and maintain robust data pipelines for model training and inference.
• Perform feature engineering, model selection, and hyperparameter tuning to optimize performance.
• Deploy ML models into production environments using scalable and efficient infrastructure.
• Collaborate with data scientists, software engineers, and product managers to understand business needs and translate them into ML solutions.
• Monitor model performance in production and implement strategies for retraining and improvement.
• Conduct A/B testing and experiments to evaluate the impact of ML models.
• Stay up-to-date with the latest advancements in machine learning and data science.
• Document models, methodologies, and results thoroughly.

Requirements

• Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related quantitative field.
• Proven experience (4+ years) as a Machine Learning Engineer or in a similar role focused on building and deploying ML models.
• Strong understanding of statistical modeling, supervised and unsupervised learning algorithms (e.g., regression, classification, clustering, time series analysis).
• Proficiency in Python and ML libraries such as scikit-learn, TensorFlow, Keras, or PyTorch.
• Experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Solid software engineering skills, including version control (Git) and testing methodologies.
• Excellent analytical and problem-solving abilities.
• Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
• Demonstrated ability to work effectively in a team environment in Welkom, Free State .
• Experience with MLOps practices is highly desirable.

Benefits

Our client provides a highly competitive salary, excellent health and wellness benefits, and a generous annual bonus. Opportunities for professional development, including attending conferences and training sessions, are abundant. This role in Welkom, Free State offers a compelling blend of challenging technical work and a supportive work environment. The hybrid model allows for a great work-life balance, ensuring you can thrive both professionally and personally.