entry level data scientist/ML AI engineer/Java developer
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
The Entry-Level Data Scientist/ML AI Engineer/Java Developer at SynergisticIT will be responsible for analyzing complex datasets, developing machine learning models, and implementing Java-based applications to enhance the organization's data-driven decision-making processes. The successful candidate will collaborate with cross-functional teams, participate in all stages of the software development life cycle, and contribute to innovative projects that leverage AI and machine learning technologies.
Job Responsibilities
- Analyze and interpret complex datasets to derive valuable insights.
- Develop, implement, and maintain machine learning models and algorithms.
- Create Java-based applications and services in accordance with business requirements.
- Collaborate with data engineers and software developers to ensure optimal performance of data-driven applications.
- Participate in code reviews and maintain documentation of processes and methodologies.
- Conduct experiments and improve existing algorithms based on feedback and new research.
- Stay updated with developments in machine learning, AI technologies, and Java programming.
Qualifications
- Bachelor's degree in Computer Science, Data Science, or a related field.
- Familiarity with programming languages, particularly Java, Python, or R.
- Understanding of machine learning algorithms, data analysis, and statistical methods.
- Experience with data manipulation and analysis tools such as SQL or Pandas.
- Strong problem-solving skills and attention to detail.
- Ability to work collaboratively in a team environment.
- Excellent verbal and written communication skills.
Technologies & Tools
The ideal candidate will be working with a number of cutting-edge technologies and tools including, but not limited to, Java, Python, TensorFlow, Keras, R, SQL, Apache Spark, and various machine learning libraries. Familiarity with cloud platforms such as AWS, Google Cloud, or Azure may also be beneficial for this role.
Ideal Candidates
Ideal candidates for this position are those who are passionate about leveraging data to drive decision-making and possess a strong foundation in programming and statistical analysis. They should demonstrate a keen interest in machine learning and artificial intelligence, with a proactive approach to learning and adapting to new technologies. Strong analytical and critical thinking abilities, combined with excellent communication skills and a collaborative spirit, are essential traits that would make them a perfect fit for this role at SynergisticIT.
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