What Languages Jobs are in South Africa?

• Lead the design, development, and implementation of advanced NLP models and algorithms.
• Architect scalable and robust NLP systems for production environments.
• Conduct research into state-of-the-art NLP techniques, including transformer architectures, language models, and transfer learning.
• Collaborate with data scientists, software engineers, and product managers to integrate NLP solutions into client-facing applications.
• Mentor and guide junior engineers, fostering technical growth and best practices in NLP development.
• Optimize model performance for speed, accuracy, and resource efficiency.
• Stay current with academic research and industry advancements in NLP and machine learning.
• Contribute to the development of our NLP roadmap and strategy.
• Evaluate and select appropriate tools and technologies for NLP projects.

• Ph.D. or Master's degree in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
• 8+ years of experience in AI/ML, with a strong focus on Natural Language Processing.
• Proven track record of designing and deploying complex NLP models in production.
• Expertise in NLP libraries and frameworks such as spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch.
• Deep understanding of language models (e.g., BERT, GPT, RoBERTa), sequence-to-sequence models, and attention mechanisms.
• Proficiency in Python and experience with big data technologies.
• Excellent problem-solving, analytical, and algorithmic thinking skills.
• Strong leadership and communication abilities, essential for a remote team environment.
• Experience with MLOps and deploying models at scale.
• Published research in top-tier NLP conferences (e.g., ACL, EMNLP) is highly desirable.

• Lead the design, development, and implementation of state-of-the-art NLP models for tasks such as sentiment analysis, named entity recognition, text summarization, and machine translation.
• Manage and mentor a team of machine learning engineers, fostering a collaborative and productive environment.
• Oversee the end-to-end machine learning lifecycle, including data preprocessing, model training, evaluation, and deployment.
• Collaborate with product managers and other stakeholders to define NLP product roadmaps and requirements.
• Develop and maintain robust MLOps pipelines for efficient model deployment and monitoring.
• Conduct rigorous testing and validation of NLP models to ensure accuracy and reliability.
• Stay updated with the latest research and advancements in NLP and machine learning.
• Contribute to architectural decisions and technology selections for NLP systems.
• Troubleshoot and resolve issues related to NLP model performance and deployment.
• Promote best practices in software engineering and machine learning within the team.

• Master's or PhD degree in Computer Science, Linguistics, Artificial Intelligence, or a related field.
• 5+ years of experience in machine learning engineering, with a strong focus on NLP.
• Demonstrated experience in leading engineering teams and managing projects.
• Proficiency in programming languages such as Python.
• Hands-on experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch).
• Solid understanding of deep learning architectures relevant to NLP (e.g., RNNs, LSTMs, Transformers).
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps tools.
• Excellent problem-solving skills and ability to work with complex datasets.
• Strong communication and leadership abilities.
• Familiarity with agile development methodologies.

• Competitive remuneration package.
• Comprehensive medical aid and provident fund.
• Opportunities for career advancement and professional growth.
• Access to advanced training and development programs.
• State-of-the-art technology infrastructure.
• Generous annual leave.
• Dynamic and inclusive work culture.
• Relocation assistance for eligible candidates.
• On-site amenities and modern office environment in **Tembisa, Gauteng**.

• Lead the end-to-end development and deployment of sophisticated NLP models for tasks such as text classification, sentiment analysis, named entity recognition, question answering, and machine translation.
• Design and implement experimental methodologies to evaluate and benchmark NLP models, ensuring optimal performance and accuracy.
• Collaborate with engineering and product teams to integrate NLP capabilities into existing and new products and services.
• Mentor and provide technical guidance to a team of data scientists and researchers, fostering a culture of continuous learning and innovation.
• Identify new opportunities to apply NLP techniques to solve challenging business problems and drive competitive advantage for our client.
• Conduct in-depth research into state-of-the-art NLP algorithms and methodologies, staying ahead of industry trends.
• Manage project timelines, resources, and deliverables, ensuring successful project completion within scope and budget.
• Communicate complex findings and recommendations clearly and concisely to both technical and non-technical stakeholders, including senior leadership.
• Contribute to the development of scalable data pipelines and robust MLOps practices for NLP model deployment and maintenance.

• Ph.D. or Master's degree in Computer Science, Computational Linguistics, Data Science, or a related quantitative field with a strong focus on NLP.
• Minimum of 8 years of hands-on experience in data science and machine learning, with a deep specialization in Natural Language Processing.
• Proven experience leading complex data science projects and mentoring junior team members.
• Expertise in programming languages like Python, and proficiency with NLP libraries and frameworks such as NLTK, spaCy, Hugging Face Transformers, TensorFlow, or PyTorch.
• Strong understanding of various NLP techniques, including word embeddings, attention mechanisms, recurrent neural networks, and transformer architectures.
• Experience with large-scale text datasets and distributed computing platforms.
• Demonstrated ability to translate business requirements into actionable data science projects.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong communication and presentation skills, capable of explaining complex technical concepts to diverse audiences.
• Experience in the Centurion, Gauteng area or willingness to engage in a hybrid model is preferred.

Our client, WhatJobs Direct, is seeking a highly skilled Senior Computational Linguist to contribute to the advancement of our AI language models. This role is integral to enhancing natural language understanding and generation capabilities for a diverse range of applications. You will apply your deep knowledge of linguistics and computational methods to analyze language data, develop linguistic resources, and refine AI models. Based in East London, Eastern Cape , this position offers a unique opportunity to work on cutting-edge NLP projects within a collaborative and innovative team environment.

• Analyze linguistic phenomena and develop computational models of language structure, semantics, and pragmatics.
• Design and implement features and rule-based systems to improve the performance of Natural Language Processing (NLP) models.
• Create, curate, and annotate linguistic datasets for training and evaluating NLP models.
• Collaborate with machine learning engineers and data scientists to integrate linguistic insights into AI models.
• Evaluate the performance of NLP models from a linguistic perspective, identifying areas for improvement.
• Develop and maintain lexicons, grammars, and other linguistic resources.
• Stay current with advancements in computational linguistics, NLP, and AI.
• Contribute to the design and execution of experiments to test linguistic hypotheses in the context of AI systems.
• Document linguistic methodologies and findings clearly for both technical and non-technical audiences.
• Participate in the ongoing research and development of new NLP capabilities.

• Master's or Ph.D. in Computational Linguistics, Linguistics, Natural Language Processing, or a related field.
• Minimum of 4 years of experience in computational linguistics or NLP research and development.
• Strong theoretical background in linguistics, including phonetics, phonology, morphology, syntax, semantics, and pragmatics.
• Proficiency in programming languages commonly used in NLP, such as Python.
• Experience with NLP libraries and tools (e.g., NLTK, spaCy, Hugging Face Transformers).
• Familiarity with machine learning concepts and their application to NLP tasks.
• Experience with data annotation and corpus linguistics is highly desirable.
• Excellent analytical, problem-solving, and critical thinking skills.
• Strong written and verbal communication skills, with the ability to explain complex linguistic concepts.
• Ability to work effectively in a team environment.

Our client offers a competitive salary and comprehensive benefits package, including health insurance, retirement contributions, and performance-based bonuses. Employees enjoy generous paid time off and opportunities for professional development, including attendance at relevant conferences and workshops. This role is based in East London, Eastern Cape , providing a stimulating environment for growth. Our client is committed to fostering innovation and providing a rewarding career path for its employees.

• Lead the research and development of advanced NLP models, including large language models (LLMs), text generation, and understanding systems.
• Design and implement novel algorithms and architectures for tasks such as machine translation, sentiment analysis, question answering, and summarization.
• Conduct rigorous experimentation, evaluation, and benchmarking of AI models.
• Collaborate with software engineers to deploy and integrate NLP models into production systems.
• Stay abreast of the latest research in NLP, deep learning, and artificial intelligence.
• Publish research findings in top-tier AI conferences and journals.
• Mentor and guide junior researchers and engineers in the NLP domain.
• Contribute to the strategic vision and roadmap for AI research within the organization.
• Manage research projects, ensuring timely delivery and high-quality outcomes in a remote setting.

• A Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field with a strong specialization in NLP.
• A minimum of 7 years of research experience in AI and NLP, demonstrated by publications and contributions to the field.
• Deep understanding of deep learning frameworks (e.g., TensorFlow, PyTorch) and transformer architectures.
• Proven experience in developing and training large-scale NLP models.
• Strong programming skills in Python and experience with relevant libraries (e.g., Hugging Face Transformers, spaCy, NLTK).
• Excellent analytical, problem-solving, and critical thinking abilities.
• Demonstrated leadership capabilities and experience mentoring research teams.
• Outstanding written and verbal communication skills, with the ability to articulate complex technical concepts.
• Proven ability to work effectively and independently in a **remote** environment.

• Conduct in-depth market research to identify target companies and key executive talent for various search assignments.
• Develop and execute sophisticated search strategies to attract passive candidates for senior leadership roles.
• Conduct comprehensive candidate assessments, including behavioral interviews and reference checks, to ensure suitability.
• Build and maintain strong, long-term relationships with a network of senior executives and industry leaders.
• Partner with clients to thoroughly understand their organizational culture, strategic objectives, and executive hiring needs.
• Manage the entire executive search process from mandate definition to successful candidate placement and onboarding support.
• Prepare detailed search reports, candidate profiles, and client presentations with a high degree of professionalism.
• Act as a trusted advisor to both clients and candidates, providing market insights and career guidance.
• Ensure a seamless and positive candidate experience, upholding the reputation of our client and their partners.

• A minimum of 7 years of experience in executive search, executive recruitment, or a senior-level talent acquisition role.
• Proven success in managing and executing complex executive search assignments across diverse industries.
• Demonstrated expertise in candidate sourcing, market mapping, and stakeholder engagement at the executive level.
• Exceptional interpersonal, communication, and negotiation skills, with the ability to influence senior stakeholders.
• Strong analytical and problem-solving abilities, with a keen eye for detail.
• Proficiency in executive search methodologies and relevant technology platforms.
• Ability to work effectively in a hybrid work model, balancing remote work with essential office-based collaboration.
• A strong professional network within the South African business community is highly advantageous.
• Bachelor's degree in Business, Psychology, or a related field; a Master's degree is a plus.

• Competitive remuneration package with performance-based bonuses.
• Hybrid work model offering flexibility and work-life integration.
• Access to a powerful executive search platform and extensive market intelligence resources.
• Significant opportunities for professional growth and career advancement.
• Exposure to high-profile executive search mandates across various sectors.
• Work within a collaborative and supportive team environment in a beautiful city.
• Build a valuable network of C-suite executives and industry leaders.
• Contribute to shaping the leadership landscape of prominent organizations.