AI Software Developer

Qualifications

• Background in computer science, engineering, mathematics, or a related quantitative field with at least 2 years of professional experience

• Strong Java programming skills

• Experience implementing data pipelines using Java

• Knowledge of workflow scheduling/orchestration tools like Kubernetes, Airflow, or Oozie

• ETL experience using Spark, Kafka, Hadoop, or similar technologies

Responsibilities

• The ideal candidate will have a strong background in AI/ML, with a focus on developing and maintaining our machine learning systems, and a passion for collaborating with team members to resolve data-related technical issues and support their data product needs

• Develop and maintain machine learning systems

• Collaborate with team members to resolve data-related technical issues and support their data product needs

• Work with the team to evaluate and improve existing client systems and models

Full Description

About Our Company

Diverse Lynx is a forward-thinking company that aims to push the boundaries of what is possible with technology.

We are seeking a talented AI Software Developer to join our team and help drive business growth through innovative solutions.

The ideal candidate will have a strong background in AI/ML, with a focus on developing and maintaining our machine learning systems, and a passion for collaborating with team members to resolve data-related technical issues and support their data product needs.

Responsibilities:

• Develop and maintain machine learning systems.

• Collaborate with team members to resolve data-related technical issues and support their data product needs.

• Work with the team to evaluate and improve existing client systems and models.

Requirements:

• Background in computer science, engineering, mathematics, or a related quantitative field with at least 2 years of professional experience.

• Strong Java programming skills.

• Experience implementing data pipelines using Java.

• Knowledge of workflow scheduling/orchestration tools like Kubernetes, Airflow, or Oozie.

• ETL experience using Spark, Kafka, Hadoop, or similar technologies.