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

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Job Overview

SynergisticIT is seeking a motivated and detail-oriented Entry Level Data Scientist and Entry Level Java Developer to join our dynamic team. The successful candidates will be involved in developing innovative solutions using PyTorch and Azure for data analysis or deploying CI/CD processes with Jenkins for Java development. These roles will require collaboration with cross-functional teams to contribute to project goals, ensuring the delivery of high-quality applications and data insights.

Job Responsibilities

• Assist in data collection, cleaning, and preprocessing using Python libraries and frameworks such as PyTorch.
• Develop and implement machine learning models to solve specific business problems and enhance decision-making capabilities.
• Collaborate with senior data scientists and data engineers to implement analytical solutions on Azure cloud platform.
• Participate in the full software development lifecycle for Java applications, ensuring adherence to coding standards and best practices.
• Implement CI/CD pipelines using Jenkins to automate builds, deployments, and testing processes.
• Document both data models and Java code, ensuring clarity and ease of maintenance for future enhancement.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
• Familiarity with Python programming, particularly with data-related libraries (e.g., NumPy, Pandas) and PyTorch.
• Basic understanding of Azure cloud services and their integration for data analysis.
• Fundamental knowledge of Java programming with experience in coding and debugging.
• Familiarity with Continuous Integration/Continuous Deployment (CI/CD) methodologies and Jenkins.
• Strong analytical skills and problem-solving abilities, with a keen attention to detail.
• Excellent communication skills and the ability to work collaboratively in a team environment.

Technologies & Tools

The successful candidates will primarily work with a variety of technologies and tools including PyTorch for deep learning applications, Azure for cloud computing solutions, Java for application development, and Jenkins for managing CI/CD pipelines. They will also utilize various data visualization tools to present analytical insights effectively.

Ideal Candidates

Ideal candidates for these positions will possess a genuine passion for technology and data-driven decision-making. They should be eager to learn and adaptable to changing environments, demonstrating initiative in problem-solving and innovation. Strong interpersonal skills are essential, as candidates will be collaborating with diverse teams while contributing to project success. A proactive attitude towards ongoing professional growth and a commitment to contributing positively to the team culture will also enhance the fit for these roles.