Senior Machine Learning Engineer - Polokwane Operations (Hybrid)

Placements24; Polokwane; Hybrid; ZAR 900,000 - 1,300,000; Full time

Benefits offered by this job

Hybrid work model

Remote work flexibility

Career development

Collaborative team environment

Job summary

Placements24 in Polokwane, Limpopo is seeking a Senior Machine Learning Engineer to design, develop, and deploy scalable ML systems in production. This hybrid role combines remote work with in-office collaboration days to drive impactful AI initiatives.

The ideal candidate has 4+ years in ML engineering, strong Python and ML library skills, and experience with MLOps, cloud platforms, and large datasets. You will collaborate with data scientists and software engineers to translate research into

Qualifications

• Bachelor's or Master's degree in CS/Engineering/Statistics or related field.
• Minimum 4 years of professional ML engineering experience.
• Strong Python programming with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Experience with data processing tools (Pandas, Spark).
• Familiar with MLOps: deployment, monitoring, CI/CD.
• Experience with cloud platforms (AWS/Azure/GCP).
• Excellent problem-solving, analytical, and collaboration skills.
• Hybrid work preference for Polokwane, Limpopo.

Responsibilities

• Design, build, and maintain scalable ML systems and pipelines.
• Develop and implement ML algorithms for classification, regression, clustering, and recommendations.
• Collaborate with data scientists to productionize models.
• Preprocess data, feature engineer, and evaluate models on large datasets.
• Optimize models for performance, scalability, and efficiency.
• Deploy ML models using MLOps practices.
• Monitor deployed models for accuracy and reliability.
• Integrate ML models into applications with software teams.
• Stay up-to-date with AI advancements.
• Document designs, code, and experiments.

Skills

Python

TensorFlow

PyTorch

scikit-learn

Pandas

Spark

CI/CD pipelines

MLOps

Cloud platforms (AWS/Azure/GCP)

Hybrid collaboration

Education

Bachelor's/Master's in Computer Science/Engineering/Statistics

Tools

Docker

Kubernetes

Git

Job description

About the Role

Our client is a rapidly growing technology company specializing in AI-driven solutions for industry optimization and predictive analytics. We are seeking an experienced Senior Machine Learning Engineer to join our dynamic team in Polokwane, Limpopo . This hybrid role offers the flexibility to work remotely for a portion of the week, complemented by essential in-office collaboration days. You will be instrumental in designing, developing, and deploying sophisticated machine learning models that solve complex business problems. This position involves working with large datasets, implementing cutting-edge algorithms, and optimizing model performance for production environments. You will collaborate closely with data scientists, software engineers, and business stakeholders to deliver impactful AI solutions. The ideal candidate possesses a strong engineering background, a deep understanding of ML principles, and a passion for building robust, scalable machine learning systems. This role provides an excellent opportunity to contribute to innovative projects and advance your career in a supportive and forward-thinking environment.

Key Responsibilities

• Design, build, and maintain scalable machine learning systems and pipelines.
• Develop and implement machine learning algorithms for various applications, including classification, regression, clustering, and recommendation systems.
• Collaborate with data scientists to translate research models into production-ready code.
• Perform data preprocessing, feature engineering, and model evaluation on large datasets.
• Optimize machine learning models for performance, scalability, and efficiency.
• Deploy machine learning models into production environments using MLOps best practices.
• Monitor and maintain deployed models, ensuring their accuracy and reliability.
• Work with software engineering teams to integrate ML models into existing applications and platforms.
• Stay up-to-date with the latest advancements in machine learning and AI technologies.
• Document technical designs, code, and experimental results.

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Statistics, or a related quantitative field.
• A minimum of 4 years of professional experience in machine learning engineering or a related role.
• Strong programming skills in Python and proficiency with ML libraries such as TensorFlow, PyTorch, scikit-learn.
• Experience with data processing and analysis tools (e.g., Pandas, Spark).
• Solid understanding of machine learning algorithms, statistical modeling, and model evaluation techniques.
• Experience with MLOps practices, including model deployment, monitoring, and CI/CD pipelines.
• Familiarity with cloud platforms like AWS, Azure, or GCP.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills, with the ability to work effectively in a hybrid team setting.
• Experience with containerization technologies like Docker and Kubernetes is a plus.

Benefits

• Our client offers a competitive salary package, commensurate with experience and qualifications.
• Employees receive comprehensive health, dental, and vision insurance.
• A retirement savings plan is available, along with generous paid time off and sick leave.
• Our hybrid work model provides flexibility and supports a healthy work-life balance.
• Opportunities for professional development, including training courses and conference attendance, are encouraged.
• You will have access to modern development tools and collaborative team environments.
• Performance-based bonuses may be awarded.
• The opportunity to work on challenging and impactful AI projects within a growing company is a significant benefit.