Remote AI/ML Engineer - NLP Focus

Placements24; Bellville; Hybrid; ZAR 2,001,000 - 3,001,000; Full time

Benefits offered by this job

Fully remote work arrangement

Competitive salary

Health, dental, and vision insurance

Job summary

Not disclosed is seeking a talented and driven Remote AI/ML Engineer with an NLP focus to join a globally distributed team. The role involves developing and deploying NLP models, handling large text datasets, and collaborating with product managers to integrate NLP into products.

The ideal candidate will have a strong background in Python, NLP libraries, deep learning frameworks, and experience with cloud platforms and Docker.

Qualifications

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related field.
• 3+ years of Natural Language Processing and Machine Learning experience.
• Strong proficiency in Python and core NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers, Gensim).
• Experience with deep learning frameworks such as TensorFlow or PyTorch for NLP tasks.
• Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy).
• Understanding of traditional NLP techniques and modern transformer-based models.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker) is a plus.
• Excellent problem-solving and independent work skills in a remote setting.
• Strong communication skills, written and verbal.
• Experience with MLOps practices for model deployment and monitoring is beneficial.

Responsibilities

• Develop, train, and deploy state-of-the-art NLP models and algorithms.
• Implement and optimize NLP pipelines for tasks like text classification and named entity recognition.
• Work with large text datasets, performing data cleaning and feature engineering for NLP.
• Collaborate with product managers and engineers to integrate NLP capabilities.
• Research and apply new NLP techniques to improve model performance.
• Develop and maintain robust, tested, well-documented code.
• Participate in code reviews to uphold code quality.
• Monitor and fine-tune deployed NLP models for accuracy.
• Contribute to knowledge base with NLP/ML insights and best practices.
• Engage in regular virtual team meetings to align on projects.

Skills

NLP experience

Python

Deep learning

Remote work

Problem solving

Communication

MLOps

Education

Bachelor's or Master's in CS/Computational Linguistics

Tools

NLTK

spaCy

Hugging Face Transformers

Gensim

TensorFlow

PyTorch

Pandas

NumPy

Docker

Job description

About the Role

Our client is revolutionizing the way businesses interact with information and is seeking a talented and driven Remote AI/ML Engineer with an NLP Focus to join their globally distributed team. This fully remote position offers the unique opportunity to work on cutting‑edge natural language processing (NLP) projects from the comfort of your own home, anywhere in the world. You will play a key role in developing and implementing advanced NLP models that power our client’s innovative products and services, enhancing user experiences and unlocking new capabilities through intelligent text understanding. This role is ideal for an engineer who is passionate about NLP, possesses strong coding skills, and thrives in a collaborative, asynchronous remote environment. You will be instrumental in pushing the boundaries of what’s possible with language AI, contributing to significant advancements in areas such as sentiment analysis, chatbots, information extraction, and text generation. We are committed to fostering a culture of innovation, continuous learning, and work‑life balance, providing you with the tools and support needed to excel. Embrace the future of work and join us in shaping the next generation of AI‑powered language solutions.

Key Responsibilities

• Develop, train, and deploy state‑of‑the‑art Natural Language Processing (NLP) models and algorithms.
• Implement and optimize NLP pipelines for tasks such as text classification, named entity recognition, sentiment analysis, and question answering.
• Work with large text datasets, performing data cleaning, preprocessing, and feature engineering specific to NLP.
• Collaborate with product managers and other engineers to integrate NLP capabilities into new and existing products.
• Research and apply new NLP techniques and state‑of‑the‑art advancements to improve model performance and create novel solutions.
• Develop and maintain robust code, adhering to software engineering best practices, including testing and documentation.
• Participate in code reviews, contributing to a high standard of code quality within the team.
• Monitor and fine‑tune deployed NLP models to ensure optimal performance and accuracy.
• Contribute to the team’s knowledge base by sharing insights and best practices in NLP and machine learning.
• Engage in regular virtual team meetings and communication to ensure alignment and project success.

Requirements

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related field.
• Proven experience (3+ years) in Natural Language Processing and Machine Learning.
• Strong proficiency in Python and core NLP libraries (e.g., NLTK, spaCy, Hugging Face Transformers, Gensim).
• Experience with deep learning frameworks such as TensorFlow or PyTorch for NLP tasks.
• Familiarity with data manipulation and analysis libraries (e.g., pandas, NumPy).
• Understanding of traditional NLP techniques and modern transformer‑based models.
• Experience with cloud platforms (AWS, Azure, or GCP) and containerization technologies (Docker) is a plus.
• Excellent problem‑solving skills and the ability to work independently in a remote setting.
• Strong communication skills, with the ability to articulate technical concepts clearly in written and verbal formats.
• Experience with MLOps practices for model deployment and monitoring is beneficial.

Benefits

• Fully remote work arrangement with flexible hours.
• Competitive salary commensurate with experience.
• Health, dental, and vision insurance plans.
• Generous paid time off and company holidays.
• Annual budget for professional development, including online courses and conferences.
• Access to cutting‑edge AI research and development tools.
• Opportunities to contribute to impactful, industry‑leading projects.
• Collaborative and inclusive global team environment.
• Retirement savings plan options.
• Home office stipend to ensure a productive workspace.