Entry Level AI & Machine Learning Engineer (Remote)
ML/AI Programmer — Build Practical AI Skills Employers Understand
AI is one of the most exciting areas in tech, but employers are not simply looking for candidates who have watched AI videos or completed a few notebooks. They want programmers who understand data, write clean Python code, evaluate models, connect AI work to applications, and explain results clearly. For entry-level candidates, practical proof matters.
SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines, automation, and AI application development. This role is ideal for motivated learners who want to build a stronger foundation for AI-related software and data roles.
We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates
Ideal Candidates:
SynergisticIT JOPP is good for ML/AI candidates because it helps them move beyond theory and build a job-ready profile. Candidates can focus on practical projects, employer-aligned skills, technical interview preparation, and resume positioning that shows they can apply AI concepts in real-world contexts.
If you want to turn AI interest into practical career preparation, Contact us
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
AI is one of the most exciting areas in tech, but employers are not simply looking for candidates who have watched AI videos or completed a few notebooks. They want programmers who understand data, write clean Python code, evaluate models, connect AI work to applications, and explain results clearly. For entry-level candidates, practical proof matters.
SynergisticIT is looking for candidates interested in ML/AI programming, Python, machine learning, NLP, model evaluation, APIs, data pipelines, automation, and AI application development. This role is ideal for motivated learners who want to build a stronger foundation for AI-related software and data roles.
Since 2010, Synergisticit has helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Client, Paypal, Banking, Wayfair, Client, Client and hundreds more with Job offers of $95k to $154k. Synergisticit focuses on closing the gap between your tech skills and what employers want now.
Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/Data Engineers/ Data Scientists, Machine Learning engineers for full time positions with clients.We Focus on Java /Full stack/Devops and Data Science /Data Engineers/Data analysts/BI Analysts/ Machine learning/AI candidates
Ideal Candidates:
- Recent grads in CS, Engineering, Math, or Statistics with limited or no job experience
- Jobseekers who had layoffs due to Downsizing and want to get in demand tech stack
- Professionals seeking a career switch to tech
- Candidates with career gaps or lacking real-world experience
- Individuals looking to boost their skill portfolio for better job prospects
- Computer Science grads with limited or no job experience
- Students who recently finished their Bachelor's or Master's programs
- Those struggling to land interviews despite having experience
- Please check below links:
- Event videos (OCW, JavaOne, Gartner):
USA Today feature
Explore JOPP:
Contact: - please read our blogs
- Why do Tech Companies not Hire recent Computer Science Graduates |
- Technical Skills or Experience? | Which one is important to get a Job? |
SynergisticIT JOPP is good for ML/AI candidates because it helps them move beyond theory and build a job-ready profile. Candidates can focus on practical projects, employer-aligned skills, technical interview preparation, and resume positioning that shows they can apply AI concepts in real-world contexts.
If you want to turn AI interest into practical career preparation, Contact us
Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req.
Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.
Remote
Skills:
Apple, Application Programming Interface (API), Artificial Intelligence (AI), Artificial Intelligence (AI) Programming Languages, Automation, Banking Services, Business Intelligence, Candidate Pipeline, Computer Science, Data Analysis, Data Cleaning, Data Management, Data Science, DevOps, Interviewing Skills, Java, Machine Learning, Mathematics, Natural Language Processing (NLP), Python Programming/Scripting Language, Right-Sizing, Software Development, Software Engineering, Statistics
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SynergisticIT
SynergisticIT is a California-based technology company specializing in software development solutions. Founded in 2010, it focuses on building scalable and efficient applications for businesses across various industries. The company provides custom software development services, including application design, system integration, cloud solutions, and technology upgrades. Its development approach emphasizes agility, innovation, and aligning solutions with client needs. SynergisticIT works with organizations of different sizes, helping them adapt to evolving digital demands through reliable and high-quality software. By combining technical expertise with a results-driven mindset, the company aims to deliver solutions that enhance business performance and support long-term growth. Overall, SynergisticIT positions itself as a bridge between talent and opportunity in the technology sector. By integrating consulting, development, and upskilling services, the company aims to create value for both organizations seeking skilled professionals and individuals pursuing careers in IT.
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2010
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