Machine Learning Engineer - NLP Focus

Placements24; United States; Hybrid; USD 54,000 - 72,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Retirement planning

Hybrid work model

Paid time off

Professional development

Job summary

WhatJobs Direct is seeking a talented Machine Learning Engineer specialized in NLP to join our growing team on a hybrid basis at our Randburg, ZA office. You will develop and deploy NLP models powering text analysis, sentiment detection, chatbots, and language generation.

Work with researchers and engineers to scale solutions and pipelines. The ideal candidate has a strong NLP foundation, proficiency in Python and deep learning frameworks, and hands-on experience with large text datasets and

Qualifications

• Master’s or Ph.D. in Computer Science, Linguistics, Computational Linguistics, or a related field.
• 3+ years of professional experience in Machine Learning Engineering with a focus on NLP.
• Strong understanding of NLP concepts, techniques, and libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with text data preprocessing, tokenization, and embedding techniques.

Responsibilities

• Develop, train, and deploy machine learning models for NLP tasks.
• Implement and fine-tune state-of-the-art NLP architectures (e.g., Transformers, LSTMs).
• Process and analyze large volumes of text data, including cleaning and feature engineering.
• Collaborate with software engineers to integrate NLP models into production systems.
• Evaluate model performance and implement strategies for improvement.
• Stay current with the latest research and advancements in NLP and deep learning.
• Contribute to the design and implementation of NLP-specific data pipelines.
• Work with stakeholders to understand requirements for language-based AI features.
• Optimize NLP models for efficiency, scalability, and deployment constraints.
• Document models, code, and experiments clearly and comprehensively.

Skills

NLP expertise

Python

Deep learning

Model deployment

Education

Master’s or PhD in Computer Science/Linguistics/Computational Linguistics

Tools

NLTK

spaCy

Transformers

TensorFlow

PyTorch

Job description

About the Role

WhatJobs Direct is seeking a talented Machine Learning Engineer with a specialization in Natural Language Processing (NLP) to join our growing team. This position is offered on a hybrid basis, allowing for a flexible working arrangement from our office in Randburg, Gauteng, ZA . You will be instrumental in developing and deploying advanced NLP models that power a variety of applications, including text analysis, sentiment detection, chatbots, and language generation. This role involves working with large text datasets, applying state-of-the-art deep learning techniques, and collaborating with researchers and software engineers to bring NLP solutions to life. The ideal candidate possesses a strong foundation in NLP, machine learning, and programming, coupled with a passion for solving complex language-related challenges. Our client is at the forefront of AI innovation, and your expertise will directly contribute to developing intelligent systems that understand and interact with human language. The hybrid nature of this role encourages both independent work and team collaboration, leveraging the resources available at our Randburg, Gauteng, ZA location.

Key Responsibilities

• Develop, train, and deploy machine learning models for NLP tasks.
• Implement and fine-tune state-of-the-art NLP architectures (e.g., Transformers, LSTMs).
• Process and analyze large volumes of text data, including cleaning and feature engineering.
• Collaborate with software engineers to integrate NLP models into production systems.
• Evaluate model performance and implement strategies for improvement.
• Stay current with the latest research and advancements in NLP and deep learning.
• Contribute to the design and implementation of NLP-specific data pipelines.
• Work with stakeholders to understand requirements for language-based AI features.
• Optimize NLP models for efficiency, scalability, and deployment constraints.
• Document models, code, and experiments clearly and comprehensively.

Requirements

• Master's or Ph.D. in Computer Science, Linguistics, Computational Linguistics, or a related field.
• 3+ years of professional experience in Machine Learning Engineering with a focus on NLP.
• Strong understanding of NLP concepts, techniques, and libraries (e.g., NLTK, spaCy, Hugging Face Transformers).
• Proficiency in Python and experience with deep learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with text data preprocessing, tokenization, and embedding techniques.
• Familiarity with cloud platforms (AWS, Azure, GCP) and their ML services is a plus.
• Solid understanding of machine learning algorithms and evaluation metrics.
• Excellent problem-solving skills and attention to detail.
• Strong communication and teamwork abilities, suitable for a hybrid environment.
• Experience with MLOps practices is beneficial.

Benefits

• Our client offers a competitive salary, commensurate with experience, and a comprehensive benefits package including medical, dental, and retirement planning.
• Employees benefit from generous paid time off and access to ongoing professional development opportunities, such as workshops, courses, and conferences.
• The hybrid work model provides flexibility and work-life balance, while fostering collaboration within our team in Randburg, Gauteng, ZA .
• We are committed to creating an inclusive and innovative environment where employees can thrive and advance their careers in the exciting field of AI.
• Additional benefits include performance-based incentives and wellness programs.