Machine Learning Engineer - NLP Focus

Placements24; United States; Remote; USD 110,000 - 170,000; Full time

Benefits offered by this job

Remote work

Competitive compensation

Professional development budget

Job summary

Placements24 is seeking a talented Machine Learning Engineer specializing in NLP to join their team. This remote-first role focuses on building and deploying advanced NLP solutions that transform raw text into actionable insights.

You will collaborate with software engineers and data scientists, maintain data pipelines, and stay current with research to improve model performance. Strong Python and ML fundamentals are essential.

Qualifications

• Degree in CS, computational linguistics, or related field.
• Experience building and deploying NLP models with spaCy, NLTK, Hugging Face, TensorFlow, or PyTorch.
• Proficient in Python and libraries like pandas and scikit-learn.
• Strong ML and NLP understanding.
• Experience with AWS, GCP, or Azure for training/deployment.
• Excellent problem-solving and communication in a remote setting.

Responsibilities

• Develop and implement state-of-the-art NLP models for text tasks.
• Build data pipelines for training and deploying NLP models.
• Collaborate with engineers and data scientists to productionize features.
• Conduct experiments to evaluate model performance and improvements.
• Stay current with NLP and ML research and techniques.
• Design and run A/B tests to measure NLP feature impact.
• Develop internal NLP tools and libraries.
• Ensure scalable and reliable deployments of NLP models.
• Document architectures, training procedures, and deployment strategies.

Skills

NLP modeling

Python

Cloud platforms

Remote collaboration

Experimentation

Education

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

Tools

spaCy

NLTK

Hugging Face Transformers

TensorFlow

PyTorch

Docker

Pandas

scikit-learn

Job description

About the Role

Our client is seeking a talented Machine Learning Engineer with a strong focus on Natural Language Processing (NLP) to join their innovative team in Tembisa, Gauteng . This role is crucial for developing and deploying advanced NLP solutions that power our client's core products. You will work on challenging problems, transforming raw text data into actionable insights and intelligent features. This is a remote-first position, offering flexibility and the opportunity to contribute from anywhere. You will be part of a forward-thinking organization dedicated to leveraging AI to solve real-world problems. The ideal candidate will have a passion for NLP and a proven ability to build robust, scalable machine learning systems. Your contributions will directly impact user experience and drive business growth through intelligent language understanding. We are committed to fostering a diverse and inclusive workplace.

Key Responsibilities

• Develop and implement state-of-the-art NLP models for tasks such as text classification, sentiment analysis, named entity recognition, and question answering.
• Build and maintain data pipelines for training and deploying NLP models.
• Collaborate with software engineers and data scientists to integrate NLP features into production systems.
• Conduct experiments to evaluate model performance and identify areas for improvement.
• Stay current with the latest research and techniques in NLP and machine learning.
• Design and execute A/B tests to measure the impact of NLP features.
• Contribute to the development of internal tools and libraries for NLP tasks.
• Ensure the scalability and reliability of NLP model deployments.
• Document model architectures, training procedures, and deployment strategies.

Requirements

• Bachelor's or Master's degree in Computer Science, Computational Linguistics, or a related quantitative field.
• Demonstrable experience in building and deploying NLP models using frameworks like spaCy, NLTK, Hugging Face Transformers, TensorFlow, or PyTorch.
• Proficiency in Python and experience with relevant libraries (e.g., pandas, scikit-learn).
• Solid understanding of machine learning concepts and NLP techniques.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) for model training and deployment.
• Strong problem-solving and analytical skills.
• Excellent communication and teamwork abilities, especially in a remote setting.
• Experience with containerization technologies like Docker is a plus.
• A portfolio of NLP projects is highly desirable.

Benefits

• This role offers a highly competitive salary and a comprehensive benefits package, including excellent health coverage, retirement planning options, and generous paid time off.
• As a fully remote position, you benefit from the flexibility to work from home, reducing commute stress and enhancing work-life balance.
• Our client provides a dedicated budget for professional development, including access to online courses, conferences, and training programs.
• You will have access to powerful computing resources and a collaborative online environment.
• We foster a culture of continuous learning and innovation.
• There are ample opportunities for career growth within a leading technology company.