Entry level Java gitlab developer/entry level machine learning engineer

This job was posted over 30 days ago, so it has most likely closed. See newer jobs like it.

Written by AI from the job title and company, not by SynergisticIT, so some details may not match this job. The employer's own page has the real description.

Job Overview

SynergisticIT is seeking a motivated Entry Level Java GitLab Developer/Entry Level Machine Learning Engineer to join our dynamic team. In this role, you will assist in developing software applications, collaborating with experienced engineers, and participating in machine learning projects. Your responsibilities will include coding, debugging, and testing software components, ensuring high-quality deliverables while enhancing your technical skills in a collaborative environment.

Job Responsibilities

• Assist in developing and maintaining Java applications using GitLab for version control.
• Collaborate with team members to understand project requirements and specifications.
• Participate in coding, testing, and debugging of software components under the guidance of senior developers.
• Contribute to machine learning projects by supporting data processing and model implementation.
• Document code changes and participate in peer code reviews to ensure code quality.
• Engage in learning opportunities and participate in team trainings for skill enhancement.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
• Basic knowledge of Java programming and familiarity with GitLab or similar version control systems.
• Understanding of machine learning concepts and algorithms is a plus.
• Ability to work collaboratively in a team-oriented environment.
• Strong problem-solving skills and attention to detail.
• Excellent verbal and written communication skills.

Technologies & Tools

The Entry Level Java GitLab Developer/Entry Level Machine Learning Engineer will utilize modern programming languages and tools, primarily Java for application development, along with GitLab for version control. Additionally, familiarity with machine learning frameworks such as TensorFlow or PyTorch may be beneficial. The role requires use of development environments such as IntelliJ IDEA or Eclipse and collaboration tools such as Jira or Trello for project management.

Ideal Candidates

Ideal candidates for this position will be technology enthusiasts with a strong desire to learn and grow within the software development and machine learning fields. They should possess a proactive attitude, demonstrating curiosity and a willingness to tackle new challenges. A collaborative spirit that thrives in a team environment, coupled with a commitment to continuous improvement, will make candidates a valuable addition to SynergisticIT.