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Internship Natural Language Processing Engineer Jobs in Georgia

QGenda

Senior Data Engineer

Atlanta, GA · Hybrid

$101K - $138K/yr

About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ... are suitable for natural language processing, predictive analytics, and other AI-driven ...

Pwc

AI & GenAI Data Scientist-Senior Associate

Atlanta, GA · On-site

$77K - $202K/yr

... software engineering to build and deploy software and platform systems that create Artificial ... natural language processing and text analytics for innovative AI applications - Building and ...

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc.

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc.

Quora

$139K - $168K/yr

Previous software engineering experience via an internship, work experience, or coding competition * Previous industry experience working on natural language processing, language modeling, etc.

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All JobsNatural Language Processing Engineer JobsInternship Natural Language Processing Engineer JobsInternship Natural Language Processing Engineer Jobs in Georgia

Internship Natural Language Processing Engineer information

What is the difference between Internship Natural Language Processing Engineer vs Data Scientist Intern?

AspectInternship Natural Language Processing EngineerData Scientist Intern
Required CredentialsRelevant coursework, programming skills, basic understanding of NLPStatistics, programming, data analysis knowledge
Work EnvironmentTech companies, research labs, AI startupsTech firms, finance, healthcare, consulting
Employer & Industry UsageAI and NLP-focused roles in tech industryData analysis across various industries

Internship Natural Language Processing Engineer roles focus on developing NLP models and algorithms, requiring knowledge of linguistics and machine learning. Data Scientist Intern positions involve analyzing large datasets to extract insights, often requiring statistical and programming skills. Both internships are common in tech companies but serve different functions within data and AI teams.

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Internship Natural Language Processing Engineer jobs near you

Machine Learning Engineer 1 or 2

4P Consulting Inc.

Atlanta, GA

$110K - $132K/yr

Contractor

Re-posted 12 days ago

Job description

This position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization.

The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences.

Job Responsibilities:

• Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications.

• Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions.

• Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure.

• Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement.

• Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems.

• Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions.

• Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner.

Technical Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.

• Proven experience in developing and deploying machine learning models and algorithms.

• Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn).

• Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure).

• Solid understanding of data preprocessing, feature engineering, and model evaluation techniques.

• Ability to work effectively in a collaborative, cross-functional team environment.

• Strong problem-solving skills and a passion for tackling complex challenges.

• Excellent communication and presentation skills.

Preferred Qualifications:

• Experience with big data technologies such as Hadoop, Spark, or similar.

• Knowledge of deep learning architectures and techniques.

• Previous experience in natural language processing (NLP) or computer vision projects.

• Understanding of version control systems like Git.