Entry level data scientist with pytorch /azure/entry level Java developer with ci/cd /jenkins

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

As an Entry Level Data Scientist/Java Developer at SynergisticIT, you will play a pivotal role in leveraging your technical skills to develop innovative solutions that meet the analytical and operational needs of our clients. This dual-role position requires expertise in machine learning frameworks such as PyTorch and cloud platforms like Azure, alongside Java development using CI/CD practices and Jenkins. Ideal candidates will work collaboratively with cross-functional teams to analyze data, implement algorithms, and refine software development processes, effectively contributing to impactful projects.

Job Responsibilities

• Assist in analyzing complex datasets to extract insights and inform decision-making processes.
• Develop, test, and optimize machine learning models using PyTorch.
• Utilize Azure services for data storage, management, and machine learning processes.
• Contribute to Java application development using modern CI/CD practices with Jenkins.
• Collaborate with data engineers to ensure the effective implementation of data pipelines.
• Help maintain code quality and perform unit testing to ensure software reliability.
• Document development processes and provide insights for future improvements.
• Participate in team meetings and contribute to brainstorming sessions for project enhancements.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Familiarity with PyTorch and experience in developing machine learning models.
• Basic understanding of Azure cloud technologies and services.
• Entry-level experience (internships or projects) in Java development.
• Familiarity with CI/CD tools, particularly Jenkins.
• Strong analytical skills with a problem-solving orientation.
• Excellent communication and teamwork capabilities.

Technologies & Tools

The role requires familiarity with a variety of technologies and tools, including but not limited to PyTorch for machine learning, Azure for cloud computing, Java for application development, and Jenkins for continuous integration and delivery. Additional tools may include Git for version control, SQL for data querying, and various data visualization platforms to make insights accessible and understandable.

Ideal Candidates

Ideal candidates are those who demonstrate a strong passion for data analysis and software development, coupled with a willingness to learn and grow in a fast-paced environment. They are proactive problem solvers with excellent attention to detail. A successful candidate values collaboration and is comfortable working within a team, as well as independently to meet project deadlines. Furthermore, they possess a strong ethical foundation in data management and are committed to continuous improvement in both technical skills and work processes.