What Principal Data Scientist AI Ml Jobs are in South Africa?

• Design, develop, and deploy state-of-the-art machine learning models for various NLP tasks, including text classification, sentiment analysis, named entity recognition, and machine translation.
• Lead the architecture and implementation of scalable NLP pipelines and systems, ensuring high performance and reliability.
• Collaborate closely with product managers, data scientists, and other engineers to define project requirements and deliverables.
• Mentor and guide junior engineers, providing technical leadership and fostering best practices in ML engineering.
• Research and evaluate new NLP techniques, algorithms, and tools to continuously improve our client's offerings.
• Optimize ML models for production environments, focusing on efficiency, scalability, and latency.
• Develop robust evaluation metrics and A/B testing frameworks to assess model performance.
• Contribute to the formulation of the long-term technical vision for NLP at the company.
• Champion the adoption of MLOps principles and best practices within the team.

• Master's or Ph.D. in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field, with a specialization in NLP.
• Extensive experience (7+ years) in machine learning engineering, with a strong focus on NLP.
• Deep understanding of NLP concepts, including transformer architectures, attention mechanisms, word embeddings, and language models.
• Proficiency in Python and experience with ML/NLP libraries such as spaCy, NLTK, Hugging Face Transformers, Scikit-learn, TensorFlow, or PyTorch.
• Proven experience in designing, building, and deploying production-level ML systems.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
• Excellent understanding of software engineering principles, data structures, and algorithms.
• Strong analytical and problem-solving skills, with the ability to work independently and drive projects to completion.
• Exceptional communication and collaboration skills, essential for a remote role.
• Experience with large language models (LLMs) and their application is highly desirable.

• Highly competitive salary and performance-based bonuses.
• Comprehensive remote work benefits package, including home office stipend and flexible working hours.
• Generous paid time off and company holidays.
• Opportunities for continuous learning and professional development, including access to online courses and industry conferences.
• A culture that champions innovation, collaboration, and employee well-being.
• Direct impact on cutting-edge AI products and technologies.
• Retirement savings plan with company matching.
• Global team collaboration and networking opportunities.

• Develop, implement, and validate advanced predictive models and machine learning algorithms to address critical business problems across various domains.
• Analyze large, complex datasets to identify patterns, trends, and actionable insights.
• Design and conduct rigorous A/B tests and other experiments to measure the impact of model deployments.
• Communicate complex analytical findings and recommendations clearly and concisely to both technical and non-technical stakeholders through compelling visualizations and presentations.
• Collaborate with business leaders, product managers, and engineering teams to identify opportunities for data science applications.
• Mentor junior data scientists and contribute to building a strong data science culture within the organization.
• Stay abreast of the latest advancements in data science, machine learning, statistical modeling, and big data technologies.
• Define key performance indicators (KPIs) and develop metrics for evaluating model performance and business impact.
• Contribute to the data strategy and roadmap, identifying new data sources and analytical approaches.

• Ph.D. or Master's degree in a quantitative field such as Statistics, Mathematics, Computer Science, Economics, or a related discipline.
• 10+ years of progressive experience in data science, with a significant focus on building and deploying predictive models.
• Expertise in statistical modeling, machine learning techniques (regression, classification, clustering, time series analysis, etc.), and experimental design.
• Proficiency in programming languages like Python or R, and experience with relevant libraries (e.g., scikit-learn, TensorFlow, PyTorch, Statsmodels).
• Strong SQL skills and experience working with large datasets and big data technologies (e.g., Spark, Hadoop).
• Excellent data visualization skills and experience with tools like Tableau, Matplotlib, or Seaborn.
• Exceptional communication, presentation, and interpersonal skills, with the ability to influence decision-making.
• Proven track record of delivering impactful data science solutions in a business environment.
• Experience with cloud platforms (AWS, Azure, GCP) is preferred.
• Demonstrated ability to work independently and lead complex analytical projects.

• Lead the design, development, and deployment of advanced AI and machine learning models.
• Oversee the end-to-end data science lifecycle, from data acquisition and preparation to model validation and implementation.
• Provide technical leadership and mentorship to a team of data scientists and analysts in **George**.
• Collaborate with business stakeholders to understand needs and translate them into data science solutions.
• Identify new opportunities for leveraging data to improve business outcomes and drive innovation.
• Conduct rigorous research into emerging AI/ML techniques and their potential applications.
• Develop and maintain robust data pipelines and infrastructure for model training and inference.
• Communicate complex findings and recommendations clearly to both technical and non-technical audiences.
• Ensure the ethical and responsible use of AI and data within the organization.
• Stay at the forefront of advancements in the fields of machine learning, deep learning, and artificial intelligence.

• Master's or PhD in Computer Science, Statistics, Mathematics, or a related quantitative field.
• 10+ years of progressive experience in data science, with at least 3 years in a leadership or principal role.
• Demonstrated expertise in developing and deploying complex ML models (e.g., deep learning, NLP, reinforcement learning).
• Proficiency in programming languages such as Python or R, and relevant libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong experience with big data technologies (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP).
• Excellent understanding of statistical modeling, experimental design, and hypothesis testing.
• Proven ability to lead and mentor technical teams.
• Exceptional problem-solving and critical thinking skills.
• Outstanding communication and presentation abilities.
• Experience in the **Western Cape** innovation landscape is a plus.

Our client, a groundbreaking AI research and development firm, is seeking an exceptional Principal Data Scientist to spearhead advanced analytics and machine learning initiatives. This is a remote-first position, offering the unique opportunity to work with a world-class team from anywhere, contributing to projects that are shaping the future of artificial intelligence. You will be responsible for designing, developing, and deploying sophisticated machine learning models, driving data-driven decision-making across the organization, and pushing the boundaries of what's possible in AI. This role requires a deep understanding of statistical modeling, machine learning algorithms, and big data technologies, coupled with a passion for innovation and a proactive approach to problem-solving in a distributed, remote-first environment.

• Lead the design and development of advanced machine learning models and algorithms
• Identify and explore new data sources and analytical techniques to drive business value
• Develop and implement predictive models, classification systems, and recommendation engines
• Work with large, complex datasets using big data technologies (e.g., Spark, Hadoop)
• Collaborate with engineering teams to deploy models into production environments
• Communicate complex findings and insights clearly to both technical and non-technical stakeholders
• Mentor junior data scientists and contribute to the team's knowledge base
• Stay abreast of the latest research and advancements in data science and machine learning
• Design and conduct A/B tests and other experiments to validate hypotheses
• Ensure the ethical and responsible application of AI and data science methodologies

• PhD or Master's degree in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline
• 8+ years of experience in data science or machine learning roles, with a focus on developing and deploying models
• Expertise in programming languages commonly used in data science (e.g., Python, R)
• Deep knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn)
• Proven experience with big data technologies and distributed computing (e.g., Spark, Hadoop)
• Strong understanding of statistical modeling, experimental design, and hypothesis testing
• Experience with data visualization tools and techniques
• Excellent problem-solving, analytical, and critical thinking skills
• Ability to work independently and collaboratively in a remote setting
• Strong communication and presentation skills

Our client offers a highly competitive salary, comprehensive health and wellness benefits, and generous paid time off. As a remote-first organization, we provide the flexibility to work from anywhere, along with support for home office setups. We encourage professional development through access to cutting-edge research, conferences, and continuous learning platforms. Join a team of passionate innovators and make a significant impact in the field of artificial intelligence. This opportunity, with its remote-first nature, is ideal for top talent seeking intellectual challenge and autonomy, regardless of their base location near Pretoria, Gauteng .