Senior Computational Scientist - AI/ML

Placements24; Mbombela (Nelspruit); Hybrid; ZAR 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Competitive salary with bonus

Health, dental, and vision insurance

Fully remote with flexible hours

Professional development opportunities

Collaborative research environment

Job summary

Placements24 is seeking a Senior Computational Scientist to join a fully remote research team. You will design and deploy AI/ML models, perform data analysis and feature engineering, and collaborate with domain experts and data engineers to translate hypotheses into actionable insights.

Applicants should have a Ph.D. or MSc in a quantitative field, 5+ years of AI/ML experience, and strong Python skills with TensorFlow/PyTorch/scikit-learn.

Qualifications

• Ph.D. or Master's degree in a quantitative field (CS/Data Science/Statistics/Physics).
• Minimum 5 years applying AI/ML techniques to real-world problems.
• Strong programming skills in Python and proficiency with ML libraries (TensorFlow, PyTorch, scikit-learn).
• Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Responsibilities

• Design, develop, and deploy sophisticated AI/ML models for scientific and business applications.
• Conduct extensive data analysis, feature engineering, and model training using large datasets.
• Collaborate with cross-functional teams to translate requirements into computational solutions.
• Stay current with AI/ML advancements and apply novel techniques to problems.
• Communicate complex technical concepts clearly to technical and non-technical audiences.

Skills

Python

AI/ML concepts

Education

Ph.D. or MSc in Computer Science / Data Science / Statistics / Physics or related quantitative field

Tools

TensorFlow

PyTorch

scikit-learn

Cloud platforms (AWS/Azure/GCP)

Job description

About the Role

Our client is seeking a highly innovative Senior Computational Scientist with expertise in Artificial Intelligence and Machine Learning to join their pioneering, fully remote research team. This critical role involves developing and implementing advanced AI/ML models to solve complex challenges in areas such as predictive modeling, data analysis, and algorithmic development. You will collaborate closely with domain experts and data engineers to translate scientific hypotheses into actionable insights and build intelligent systems that drive discovery and innovation. This is an exceptional opportunity for a driven individual to make a significant impact, leveraging cutting-edge technologies from anywhere.

Key Responsibilities

• Design, develop, and deploy sophisticated AI/ML models for various scientific and business applications.
• Conduct extensive data analysis, feature engineering, and model training using large, complex datasets.
• Collaborate with cross-functional teams to define project requirements and translate them into computational solutions.
• Stay current with the latest advancements in AI/ML research and apply novel techniques to solve challenging problems.
• Communicate complex technical concepts and results clearly to both technical and non-technical audiences.

Requirements

• Ph.D. or Master's degree in Computer Science, Data Science, Statistics, Physics, or a related quantitative field.
• Minimum of 5 years of experience in applying AI/ML techniques to real-world problems.
• Strong programming skills in Python and proficiency with ML libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Deep understanding of machine learning algorithms, deep learning architectures, and statistical modeling.
• Experience with cloud platforms (AWS, Azure, GCP) and big data technologies is a plus.

Benefits

• Highly competitive salary and generous performance-based bonuses.
• Comprehensive health, dental, and vision insurance plans.
• Flexible working hours and a fully remote work environment, promoting excellent work-life balance.
• Opportunities for professional development, including conference attendance and advanced training.
• A collaborative and intellectually stimulating research environment focused on cutting-edge AI/ML applications.