entry level Java devops developer /Entry level Data scientist with sql/pytorch/

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Job Overview

The Entry Level Java DevOps Developer / Data Scientist at SynergisticIT will be responsible for supporting the development and deployment of applications through the integration of Java programming, DevOps practices, and data science methodologies. The ideal candidate will have a strong foundation in programming and is eager to learn about data analysis, algorithm implementation with PyTorch, and database management using SQL. This role emphasizes collaboration with cross-functional teams to enhance system performance, improve deployment processes, and extract meaningful insights from data.

Job Responsibilities

• Assist in the development and maintenance of Java-based applications.
• Participate in the deployment of applications across various environments using DevOps tools and practices.
• Utilize SQL for data retrieval, management, and analysis to support data-driven decision-making.
• Implement machine learning algorithms using PyTorch for analytical and predictive modeling tasks.
• Collaborate with senior developers and data scientists to troubleshoot and resolve application performance issues.
• Document processes, code, and workflows to ensure clarity and understanding among team members.

Qualifications

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Basic knowledge of Java programming and object-oriented principles.
• Familiarity with SQL and database management systems.
• Experience with PyTorch or similar machine learning frameworks is a plus.
• Understanding of DevOps practices and tools (e.g., CI/CD, Git) is desirable.
• Strong analytical and problem-solving skills with a willingness to learn new technologies.
• Excellent verbal and written communication skills.

Technologies & Tools

This position will involve working with a variety of technologies and tools, including but not limited to Java programming language, SQL for relational databases, PyTorch for machine learning tasks, and a range of DevOps tools such as Git, Jenkins, and Docker for continuous integration and deployment processes. Familiarity with cloud platforms such as AWS or Azure may also be beneficial as part of the deployment strategies utilized in this role.

Ideal Candidates

Ideal candidates for this position will possess a strong foundation in programming and data analysis, demonstrating curiosity and a desire to expand their technical skillset. They should exhibit a collaborative mindset, allowing them to work effectively in a team setting while also being proactive in seeking solutions to challenges. Additionally, candidates should be adaptable and open to feedback, displaying a commitment to personal and professional growth within the evolving field of technology.