Lead AI Engineer - Natural Language Processing

Placements24; Bloemfontein; Ibrido; ZAR 1.000.000 - 2.000.000; Tempo pieno

Vantaggi offerti da questo lavoro

Remote work flexibility

Equity options

Professional development opportunities

Descrizione del lavoro

Placements24 in Bloemfontein is seeking a Lead AI Engineer specializing in NLP to design, build, and deploy advanced NLP models. You will lead a team of engineers and researchers, delivering production-ready AI systems that power sentiment analysis, chatbots, translation, and information extraction.

The ideal candidate will possess a deep understanding of deep learning for NLP, extensive experience with Hugging Face Transformers, spaCy, NLTK, TensorFlow, and PyTorch, and strong Python

Competenze

• Master's or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Minimum of 7 years of experience in AI/ML with a strong specialization in Natural Language Processing.
• Proven experience in leading AI/ML projects and teams.
• Extensive experience with NLP libraries and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK, TensorFlow, PyTorch).
• Strong programming skills in Python.
• Deep understanding of NLP concepts, including language modeling, text representation, and semantic understanding.
• Experience with cloud platforms (AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership, communication, and interpersonal skills.
• Experience with large-scale data processing and distributed computing is a plus.

Mansioni

• Lead the design, development, and deployment of advanced Natural Language Processing models and systems.
• Develop and implement state-of-the-art NLP algorithms, including deep learning architectures (e.g., Transformers, LSTMs, RNNs).
• Build and optimize NLP pipelines for tasks such as text classification, named entity recognition, machine translation, and question answering.
• Collaborate with product managers and software engineers to integrate NLP capabilities into various applications.
• Manage and mentor a team of AI engineers and researchers, fostering a culture of innovation.
• Conduct research into new NLP techniques and technologies, and evaluate their potential application.
• Ensure the scalability, robustness, and efficiency of deployed NLP models.
• Analyze and interpret model performance, identifying areas for improvement and optimization.
• Stay current with the latest research and trends in AI and NLP.
• Communicate technical concepts and project progress to diverse stakeholders.

Conoscenze

NLP/AI

Python

Leadership

Transformers

Formazione

Master's/PhD in CS/AI/Computational Linguistics

Strumenti

Hugging Face Transformers

spaCy

NLTK

TensorFlow

PyTorch

Descrizione del lavoro

About the Role

Our client is a cutting-edge AI research lab focused on developing intelligent systems that transform communication and information access. We are seeking an experienced Lead AI Engineer specializing in Natural Language Processing (NLP) to join our pioneering team in Bloemfontein . This role is central to designing, building, and deploying advanced NLP models for applications such as sentiment analysis, chatbots, language translation, and information extraction. You will lead a team of talented engineers and researchers, driving innovation and ensuring the successful implementation of state-of-the-art NLP solutions. The ideal candidate will have a deep understanding of deep learning architectures for NLP, extensive experience with NLP libraries and frameworks, and a strong track record of delivering production-ready AI systems. This is a unique opportunity to shape the future of human-computer interaction and work on challenging, impactful projects in a collaborative and intellectually stimulating environment. Your leadership will be instrumental in advancing our AI capabilities and expanding our product offerings.

Key Responsibilities

• Lead the design, development, and deployment of advanced Natural Language Processing models and systems.
• Develop and implement state-of-the-art NLP algorithms, including deep learning architectures (e.g., Transformers, LSTMs, RNNs).
• Build and optimize NLP pipelines for tasks such as text classification, named entity recognition, machine translation, and question answering.
• Collaborate with product managers and software engineers to integrate NLP capabilities into various applications.
• Manage and mentor a team of AI engineers and researchers, fostering a culture of innovation.
• Conduct research into new NLP techniques and technologies, and evaluate their potential application.
• Ensure the scalability, robustness, and efficiency of deployed NLP models.
• Analyze and interpret model performance, identifying areas for improvement and optimization.
• Stay current with the latest research and trends in AI and NLP.
• Communicate technical concepts and project progress to diverse stakeholders.

Requirements

• Master's or PhD in Computer Science, Artificial Intelligence, Computational Linguistics, or a related field.
• Minimum of 7 years of experience in AI/ML, with a strong specialization in Natural Language Processing.
• Proven experience in leading AI/ML projects and teams.
• Extensive experience with NLP libraries and frameworks (e.g., Hugging Face Transformers, spaCy, NLTK, TensorFlow, PyTorch).
• Strong programming skills in Python.
• Deep understanding of NLP concepts, including language modeling, text representation, and semantic understanding.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices.
• Excellent problem-solving, analytical, and critical thinking skills.
• Strong leadership, communication, and interpersonal skills.
• Experience with large-scale data processing and distributed computing is a plus.

Benefits

• Exceptional salary and equity options.
• Comprehensive health, dental, and vision insurance.
• Generous paid time off and flexible holidays.
• Significant opportunities for research and professional development.
• Access to world-class computing resources and AI infrastructure.
• Pension scheme and retirement planning support.
• Remote work flexibility.
• Stimulating and collaborative work environment with leading AI experts.
• Wellness programs and fitness subsidies.
• Regular innovation challenges and hackathons.