AI/ML Engineer - Natural Language Processing

Placements24; Stellenbosch; Presencial; ZAR 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical benefits

Retirement plan

Learning opportunities

Descripción de la vacante

Placements24 in Stellenbosch, Western Cape, is seeking an experienced AI/ML Engineer specialized in NLP to develop and refine advanced language models for chatbots, sentiment analysis, and text generation. You will handle large text datasets, prototype novel architectures, and contribute to production-ready NLP systems.

The role requires a Master's or PhD in AI/CS and 3+ years of NLP-focused experience, with strong Python and libraries like spaCy, Transformers, and PyTorch.

Formación

• Master's or PhD in Computer Science/AI required.
• 3+ years of AI/ML experience with NLP focus.
• Experience with NLP tasks (text classification, sentiment analysis, NER, QA).

Responsabilidades

• Develop, train, and deploy state-of-the-art NLP models using deep learning techniques (Transformers, RNNs, LSTMs).
• Process and analyze large volumes of text data including cleaning and tokenization.
• Fine-tune pre-trained language models for downstream tasks like classification, NER, QA.
• Collaborate with software engineers to integrate NLP models into production systems.
• Evaluate model performance, perform error analysis, and iterate to improve accuracy.
• Stay updated with latest NLP research and advancements.
• Contribute to the design and architecture of NLP-centric AI systems.
• Participate in code reviews and knowledge sharing within the team.

Conocimientos

Python programming

Analytical thinking

Teamwork

Educación

Masters/PhD in AI

Herramientas

spaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Descripción del empleo

About the Role Our client, a cutting-edge technology firm renowned for its innovative AI solutions, is looking for an experienced AI/ML Engineer specializing in Natural Language Processing (NLP) to join their dynamic team in Stellenbosch, Western Cape. This role is central to developing and refining advanced NLP models that power intelligent applications, such as chatbots, sentiment analysis tools, and advanced text generation systems. You will work with large text datasets, explore novel deep learning architectures, and contribute to the creation of sophisticated language understanding capabilities. Join us in the picturesque university town of Stellenbosch to shape the future of human-computer interaction.

Key Responsibilities

• Develop, train, and deploy state-of-the‑art NLP models using deep learning techniques (e.g., Transformers, RNNs, LSTMs).
• Process and analyze large volumes of text data, including cleaning, tokenization, and feature extraction.
• Implement and fine‑tune pre‑trained language models for specific downstream tasks like text classification, named entity recognition, and question answering.
• Collaborate with software engineers to integrate NLP models into production systems and applications.
• Evaluate model performance, conduct error analysis, and iterate on solutions to improve accuracy and efficiency.
• Stay abreast of the latest research and advancements in NLP and conversational AI.
• Contribute to the design and architecture of NLP‑centric AI systems.
• Participate in code reviews and knowledge sharing sessions within the engineering team.

Requirements

• Master's or Ph.D. in Computer Science, Computational Linguistics, Artificial Intelligence, or a related field.
• 3+ years of professional experience in AI/ML engineering with a specialization in NLP.
• Proven experience with NLP tasks such as text classification, sentiment analysis, topic modeling, machine translation, and question answering.
• Strong proficiency in Python and experience with NLP libraries and frameworks (e.g., spaCy, NLTK, Hugging Face Transformers, TensorFlow, PyTorch).
• Experience with deep learning models relevant to NLP.
• Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and ML deployment tools is a plus.
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.

Benefits

Our client offers a competitive salary, comprehensive medical benefits, and a retirement savings plan. Employees have access to continuous learning opportunities, attend industry conferences, and work with cutting‑edge technology. The work environment in Stellenbosch, Western Cape, is intellectually stimulating and supportive, fostering innovation and professional growth. Be part of a team revolutionizing how machines understand and interact with human language.