AI Engineer - Junior
Job Description
Position Overview
SynergisticIT is transforming careers by connecting exceptional entry-level talent with top technology clients such as Apple, Google, PayPal, Western Union, Visa, and Walmart Labs. In a challenging market fueled by tech layoffs, candidates must differentiate themselves with exceptional skills and hands-on project experience. All positions are open for all visas and US citizens, and we assist with STEM extension, H1B, and Green card filing.
We welcome recent graduates in Computer Science, Engineering, Mathematics, Statistics, or related fields who are eager to start their IT careers. Candidates lacking job experience, with career breaks, or needing enhanced technical competencies are encouraged to apply. Please only apply through this posting – no phone calls. Shortlisted candidates will be contacted.
Required Qualifications
- For Java/Software Programmers:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT
- Highly motivated, self-learner, and technically inquisitive
- Experience with Java programming and understanding of the software development life cycle
- Hands-on project work experience
- Knowledge of Core Java, JavaScript, C++, or similar programming languages
- Experience with Spring Boot, Microservices, Docker, Jenkins, and REST API's
- Excellent written and verbal communication skills
- For Data Science/Machine Learning:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, or IT
- Hands-on project work on relevant technologies
- Highly motivated, self-learner, and technically inquisitive
- Experience in programming (including Java) with understanding of the software development life cycle
- Knowledge of Statistics, SAS, Python, Computer Vision, and data visualization tools
- Excellent written and verbal communication skills
Preferred Qualifications
- Experience with NLP, Text Mining, Tableau, PowerBI, or Time Series Analysis