Remote Senior AI/ML Engineer - Natural Language Processing

Placements24

Pretoria

Hybrid

ZAR 2.297.000 - 2.953.000

Vollzeit

vor 24 Stunden
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Full remote
Professional development budget
Home office stipend
Stock options
Unlimited PTO

Zusammenfassung

WhatJobs Direct seeks a remote Senior AI/ML Engineer focused on NLP to architect, train, and deploy advanced language models. You will own end-to-end NLP pipelines and mentor junior engineers in a fast-moving, remote-first environment.

You’ll work with PyTorch/TensorFlow and Hugging Face, optimize models for scale, and collaborate with product teams to translate research into real-world NLP solutions across global products.

Qualifikationen

  • Master's or Ph.D. in Computer Science, AI, Linguistics, or related quantitative field.
  • Proven experience in developing and deploying NLP models and applications.
  • Strong proficiency in Python and NLP libraries (NLTK, spaCy, Hugging Face).

Aufgaben

  • Design, train, and deploy NLP models (text classification, NER, sentiment analysis, MT).
  • Develop scalable NLP pipelines and infrastructure.
  • Implement and fine-tune large language models (LLMs).
  • Collaborate with product managers and engineers to define NLP requirements.
  • Optimize NLP models for performance and accuracy.
  • Stay current with NLP research and advancements.
  • Mentor junior AI/ML engineers on NLP best practices.

Kenntnisse

NLP model development
Python
Transformers
Deep learning
MLOps
Git

Ausbildung

Master's or PhD in CS/AI

Tools

NLTK
spaCy
Transformers (HF)
TensorFlow
PyTorch

Jobbeschreibung

About the Role Our client, WhatJobs Direct, is at the cutting edge of AI innovation and is actively recruiting a Remote Senior AI/ML Engineer specializing in Natural Language Processing (NLP) . This is a fully remote position, offering the flexibility to work from anywhere while contributing to groundbreaking NLP projects. You will be responsible for developing, implementing, and deploying advanced NLP models that power intelligent applications. This role requires a deep understanding of machine learning, deep learning, and NLP techniques, combined with strong software engineering skills. As a senior member of the team, you will mentor junior engineers, contribute to architectural decisions, and drive the technical roadmap for our NLP initiatives. We are seeking individuals who are passionate about transforming text data into actionable insights and building sophisticated language understanding systems. This is a remote-first opportunity, designed for individuals who thrive in autonomous environments and excel at virtual collaboration. You will be part of a dynamic and forward-thinking team, working on challenging problems that have a significant impact. The fully remote nature of this role allows for a broad talent pool and flexible working arrangements.

Key Responsibilities
  • Design, train, and deploy state-of-the-art NLP models (e.g., for text classification, sentiment analysis, named entity recognition, machine translation, chatbots).
  • Develop and maintain scalable NLP pipelines and infrastructure.
  • Implement and fine-tune large language models (LLMs).
  • Collaborate with product managers and other engineers to define NLP product requirements.
  • Optimize NLP models for performance, efficiency, and accuracy.
  • Stay current with the latest research and advancements in NLP and deep learning.
  • Write clean, maintainable, and well-documented code.
  • Mentor junior AI/ML engineers on NLP best practices.
  • Contribute to the overall AI strategy for remote teams.
Requirements
  • Master's or Ph.D. in Computer Science, AI, Linguistics, or a related quantitative field.
  • Proven experience in developing and deploying NLP models and applications.
  • Strong proficiency in Python and NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
  • Expertise in deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Solid understanding of NLP concepts such as word embeddings, sequence models, attention mechanisms, and transformers.
  • Experience with MLOps practices and tools for model deployment and monitoring.
  • Excellent software engineering skills, including version control (Git) and testing.
  • Strong communication and collaboration skills, essential for a remote environment.
  • Minimum of 6 years of experience in AI/ML engineering with a focus on NLP.
Benefits
  • Highly competitive salary and comprehensive benefits package.
  • Full remote work arrangement, offering excellent work-life balance.
  • Generous budget for professional development, including courses and conferences.
  • Company-provided equipment and home office stipend.
  • Unlimited paid time off.
  • Opportunity to work on impactful and innovative NLP projects.
  • Dynamic and supportive virtual team environment.
  • Performance-based bonuses and potential stock options.
  • Access to cutting-edge AI research and development resources.
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