< More Jobs

Posted on 2025/03/15

AI/ML Intern

BrainWaves Digital, LLC

Austin, TX, United States

Full-time and Internship

Qualifications

  • Proficiency in natural language processing techniques and applications

  • Experience in model training, evaluation, and deployment in production environments

  • Familiarity with cloud services such as AWS for deploying machine learning solutions

  • Knowledge of big data frameworks like Spark for handling large-scale data processing tasks

  • Understanding of database design principles to support machine learning workflows

  • Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team environment

Benefits

  • Pay: $50,000.00 - $60,000.00 per year

  • Compensation Package:

  • Performance bonus

  • 8 hour shift

Responsibilities

  • In this role, you will be responsible for designing, developing, and deploying machine learning models that leverage advanced algorithms to solve complex problems

  • You will work closely with cross-functional teams to integrate AI solutions into our products and services, driving innovation and enhancing user experiences

  • Design and implement machine learning models for various applications, including natural language processing tasks

  • Collaborate with data scientists and software engineers to develop scalable solutions for model training and deployment

  • Utilize Python and Java for programming tasks related to model development and integration

  • Manage data pipelines using ETL processes to ensure high-quality data is available for model training

  • Work with big data technologies such as Spark to process large datasets efficiently

  • Design and maintain databases that support machine learning initiatives

  • Monitor model performance post-deployment and iterate on improvements based on feedback and data analysis

  • Stay updated with the latest advancements in AI/ML technologies and methodologies

Full Description

Job Summary

We are seeking a talented and motivated AI/ML Engineer to join our dynamic team.

In this role, you will be responsible for designing, developing, and deploying machine learning models that leverage advanced algorithms to solve complex problems.

You will work closely with cross-functional teams to integrate AI solutions into our products and services, driving innovation and enhancing user experiences.

Responsibilities

• Design and implement machine learning models for various applications, including natural language processing tasks.

• Collaborate with data scientists and software engineers to develop scalable solutions for model training and deployment.

• Utilize Python and Java for programming tasks related to model development and integration.

• Manage data pipelines using ETL processes to ensure high-quality data is available for model training.

• Work with big data technologies such as Spark to process large datasets efficiently.

• Design and maintain databases that support machine learning initiatives.

• Monitor model performance post-deployment and iterate on improvements based on feedback and data analysis.

• Stay updated with the latest advancements in AI/ML technologies and methodologies.

Qualifications

• Proficiency in natural language processing techniques and applications.

• Strong programming skills in Python; experience with Java is a plus.

• Experience in model training, evaluation, and deployment in production environments.

• Familiarity with cloud services such as AWS for deploying machine learning solutions.

• Knowledge of big data frameworks like Spark for handling large-scale data processing tasks.

• Understanding of database design principles to support machine learning workflows.

• Excellent problem-solving skills, attention to detail, and ability to work collaboratively in a team environment.

• A degree in Computer Science, Data Science, or a related field is preferred.

Join us as we push the boundaries of technology through innovative AI solutions!

Job Type: Full-time

Pay: $50,000.00 - $60,000.00 per year

Compensation Package:

• Performance bonus

Schedule:

• 8 hour shift

Work Location: Remote

Zero to AI Engineer Program

Zero to AI Engineer

Skip the degree. Learn real-world AI skills used by AI researchers and engineers. Get certified in 8 weeks or less. No experience required.