AI/ML Engineer - Predictive Modeling

Placements24; Soweto; Híbrido; ZAR 700.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive compensation

Medical/Dental/Vision coverage

Generous PTO and holidays

Professional growth opportunities

Remote work flexibility

Retirement savings plan

Descripción de la vacante

Placements24 seeks an innovative AI/ML Engineer for a client based in Soweto, Gauteng, focused on AI & Emerging Technologies. You will lead predictive modeling efforts, from data exploration and feature engineering to model training, validation, and deployment, collaborating with engineers to deliver impactful ML solutions.

The ideal candidate has 2+ years in ML/data science, strong Python skills, and experience with scikit-learn, Pandas, NumPy, and TensorFlow or PyTorch, plus familiarity with

Formación

• Bachelor's or Master's degree in a quantitative field.
• 2+ years of professional ML or data science experience with predictive modeling.
• Proficiency in Python and common ML libraries (scikit-learn, Pandas, NumPy, TensorFlow or PyTorch).
• Strong understanding of statistical modeling and ML algorithms.
• Experience with data visualization, SQL, and cloud platforms.

Responsabilidades

• Develop, implement, and optimize ML models for predictive tasks.
• Process, clean, and transform large datasets for modeling.
• Perform feature engineering and selection to improve performance.
• Evaluate model performance and iterate to improve accuracy.
• Deploy models into production with collaboration from software engineers.
• Monitor models for performance and update as needed.
• Conduct exploratory data analysis to gain insights.
• Stay current with ML advancements and communicate findings.

Conocimientos

Python

ML libraries

Data visualization

SQL

Communication

Cloud platforms

Educación

Bachelor's or Master's in CS/Statistics/Data Science

Herramientas

scikit-learn

Pandas

NumPy

TensorFlow

PyTorch

Descripción del empleo

About the Role

Our client, a cutting-edge firm in AI & Emerging Technologies, is actively seeking an innovative AI/ML Engineer with expertise in predictive modeling to join their expanding team. This role offers the exciting opportunity to leverage advanced machine learning techniques to build sophisticated predictive systems that drive business value and insights. You will be involved in the full lifecycle of model development, from data exploration and feature engineering to model training, validation, and deployment. The ideal candidate has a strong foundation in machine learning, statistical modeling, and programming, coupled with a passion for solving complex problems using data. This position provides a dynamic and collaborative environment where you can contribute to impactful projects and grow your skills within the exciting field of artificial intelligence, based in Soweto, Gauteng. We are committed to fostering an environment of innovation and continuous learning.

Key Responsibilities

• Develop, implement, and optimize machine learning models for predictive tasks such as forecasting, classification, and anomaly detection.
• Process, clean, and transform large datasets to prepare them for modeling.
• Perform feature engineering and selection to improve model performance.
• Evaluate model performance using appropriate metrics and techniques, and iterate to enhance accuracy.
• Deploy machine learning models into production environments, collaborating with software engineers.
• Monitor deployed models for performance degradation and implement necessary updates.
• Conduct exploratory data analysis to uncover insights and inform modeling strategies.
• Stay current with the latest advancements in machine learning, predictive modeling, and AI.
• Communicate technical findings and recommendations to stakeholders through reports and presentations.
• Contribute to the development and maintenance of the team's MLOps practices.

Requirements

• Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
• 2+ years of professional experience in machine learning or data science, with a focus on predictive modeling.
• Proficiency in Python and common ML libraries such as scikit-learn, Pandas, NumPy, and TensorFlow or PyTorch.
• Strong understanding of statistical modeling, machine learning algorithms, and data mining techniques.
• Experience with data visualization tools and techniques.
• Familiarity with SQL and database management.
• Ability to work with large datasets and understand data structures.
• Good analytical and problem-solving skills.
• Effective communication and teamwork abilities.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Competitive salary and performance-based bonuses.
• Comprehensive medical, dental, and vision coverage.
• Generous paid time off and company holidays.
• Opportunities for professional growth and skill enhancement.
• Exposure to cutting-edge AI projects and technologies.
• A supportive and collaborative team environment.
• Remote work flexibility allowing for work-life balance.
• Retirement savings plan options.