Generative AI Engineer at Beverly Bar
Los Angeles, CA 90025, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

130000.0

Posted On

07 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Hadoop, C, Looker, Programming Languages, Learning Techniques, Health Insurance, Talend, Sql, Artificial Intelligence, Data Visualization, Java, Spark, Sas, Python, Bash

Industry

Information Technology/IT

Description

JOB SUMMARY

We are seeking a skilled AI Developer to join our innovative team. The ideal candidate will be responsible for designing, developing, and implementing advanced AI solutions that enhance our product offerings. This role requires a strong understanding of machine learning algorithms, data analysis, and programming languages. The AI Developer will collaborate with cross-functional teams to create intelligent systems that leverage big data and machine learning frameworks.

SKILLS

  • Proficiency in programming languages such as Python, Java, C, and R.
  • Experience with machine learning frameworks including TensorFlow and SAS.
  • Familiarity with big data tools such as Hadoop, Spark, and Talend.
  • Knowledge of SQL for database management and querying.
  • Understanding of unsupervised learning techniques and model training processes.
  • Experience with analytics tools like Looker for data visualization.
  • Ability to work with linked data concepts and quantum engineering principles is a plus.
  • Proficient in Bash (Unix shell) scripting for automation tasks.
  • Strong problem-solving skills with a focus on innovative solutions in AI development. Join our team to contribute to cutting-edge projects that push the boundaries of artificial intelligence!
    Job Type: Full-time
    Pay: $110,000.00 - $130,000.00 per year

Benefits:

  • Health insurance

Work Location: In perso

Responsibilities
  • Design and develop AI models and algorithms for various applications.
  • Implement machine learning frameworks to optimize performance and accuracy.
  • Conduct model training and validation to ensure reliability of AI solutions.
  • Collaborate with data engineers to integrate ETL processes for data preparation.
  • Work on natural language processing tasks to enhance user interactions.
  • Utilize big data technologies such as Hadoop and Spark for large-scale data processing.
  • Engage in database design and management to support AI initiatives.
  • Perform data mining and analytics to extract actionable insights from complex datasets.
  • Develop and deploy models in production environments using tools like AWS.
  • Stay updated with the latest advancements in AI technologies and methodologies.
Loading...