Lead NLP Engineer & AI Team Lead

Placements24

Cape Town

Sur place

ZAR 1 200 000 - 2 000 000

Plein temps

Il y a 3 jours
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Avantages offerts par ce poste

Competitive salary
Medical, dental, vision coverage
Generous leave
Learning and conference funding
Cutting-edge technology access
Team events

Résumé du poste

Placements24 in Cape Town is seeking a Lead ML Engineer to drive NLP initiatives, architect and deploy production-grade models, and lead a team of engineers and researchers. You will own end-to-end ML lifecycle from data prep to deployment and collaborate with product managers to define roadmaps for scalable NLP solutions.

You will stay at the forefront of NLP research, mentor the team, and deliver high-impact language understanding and generation capabilities in production environments.

Qualifications

  • Master's or PhD in Computer Science, Computational Linguistics, AI, or a related field.
  • 7+ years of experience in Machine Learning, with at least 4 years focused on NLP.
  • Proven experience in leading ML engineering teams.
  • Strong programming skills in Python and proficiency with NLP libraries (spaCy, NLTK, Hugging Face Transformers).
  • Expertise in deep learning frameworks (TensorFlow, PyTorch) and experience with large language models.
  • Experience with MLOps tools and practices for model deployment and monitoring.
  • Solid understanding of statistical modeling, machine learning algorithms, and data structures.
  • Excellent analytical, problem-solving, and communication skills.
  • Experience working with large text datasets and handling data preprocessing challenges.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their ML services.

Responsabilités

  • Lead the design, development, and implementation of advanced NLP models and algorithms (e.g., transformers, LLMs, BERT, GPT).
  • Manage and mentor a team of machine learning engineers and data scientists focused on NLP.
  • Oversee the end-to-end ML pipeline, including data ingestion, feature engineering, model training, evaluation, and deployment.
  • Collaborate with cross-functional teams to identify opportunities for NLP applications and integrate solutions into products and services.
  • Ensure the scalability, reliability, and performance of NLP models in production.
  • Conduct rigorous experiments to benchmark model performance and explore new techniques.
  • Stay updated with the latest research and industry trends in NLP and AI.
  • Contribute to the development of best practices and coding standards for the ML team.
  • Present technical findings and project updates to both technical and non-technical audiences.
  • Drive innovation in NLP, exploring areas like sentiment analysis, text summarization, machine translation, and conversational AI.

Connaissances

Team leadership
Python
SpaCy
NLTK
Transformers
TensorFlow
PyTorch
MLOps
Cloud platforms

Formation

Master's degree in CS/AI/CL
PhD in CS/AI/CL

Outils

Hugging Face Transformers
TensorFlow
PyTorch
MLflow

Description du poste

Placements24 in Cape Town is seeking a Lead ML Engineer to drive NLP initiatives, architect and deploy production-grade models, and lead a team of engineers and researchers. You will own end-to-end ML lifecycle from data prep to deployment and collaborate with product managers to define roadmaps for scalable NLP solutions.

You will stay at the forefront of NLP research, mentor the team, and deliver high-impact language understanding and generation capabilities in production environments.

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