Full Time

Data scientist /ML AI engineer/entry level Java web developer with cloud

SynergisticIT
$60,000 - $120,000* / year (about $29–$58 an hour)

Job Description

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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 and enthusiastic entry-level Data Scientist/ML AI Engineer/Java Web Developer with a focus on cloud technologies. The selected candidate will be tasked with analyzing data sets, developing machine learning models, and contributing to the design and implementation of web applications in Java. The role encompasses collaboration within a dynamic team environment to deliver innovative solutions that leverage artificial intelligence and cloud computing.



Job Responsibilities

  • Analyze complex data sets to extract valuable insights and drive informed decision-making.
  • Develop and implement machine learning algorithms and models to solve real-world problems.
  • Collaborate with cross-functional teams to execute web development projects using Java technologies.
  • Assist in the design, development, and deployment of cloud-based applications and services.
  • Participate in code review processes and contribute to best practices in software engineering.
  • Create and maintain documentation for processes, systems, and completed work.


Qualifications

  • Bachelor’s degree in Computer Science, Data Science, or a related field.
  • Familiarity with machine learning frameworks and libraries (e.g., TensorFlow, Scikit-learn).
  • Basic understanding of Java and web development principles.
  • Knowledge of cloud platforms such as AWS, Google Cloud, or Azure.
  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.


Technologies & Tools

The successful candidate will utilize a variety of technologies and tools in this position, including but not limited to Java frameworks (Spring, Hibernate), machine learning libraries (Pandas, NumPy), cloud services (AWS, Azure), version control systems (Git), and database management systems (MySQL, MongoDB). Familiarity with integrated development environments (IDEs) such as IntelliJ or Eclipse may also be beneficial.



Ideal Candidates

The ideal candidate will exhibit a strong curiosity for data and technology, possess a fundamental understanding of programming and machine learning concepts, and have a proactive approach to problem-solving. They should be detail-oriented with a knack for analytical thinking, along with a genuine desire to learn and grow within a collaborative, fast-paced environment. A passion for innovation and the drive to contribute to team success will also distinguish a strong applicant for this role.

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