Junior AI & Machine Learning Engineer/Data Scientist

The Job Description Moved to the Lakehouse.

Remember to check your CV before applying Also, ensure you read through all the requirements related to this role.

Your Resume Did Not.

Classic ML Is Necessary.

It Is No Longer Sufficient.

Your last serious data work used older pandas flows, on-prem SQL, and scikit-learn only.

Postings now mention Databricks, Snowflake, PyTorch, LLMs, GenAI, and MLOps.

You apply anyway.

You do not get interviews, or you get them and cannot discuss RAG, pipelines, or production scoring.

SynergisticIT JOPP is for data jobseekers whose tools aged out.

Analytics, engineering, and ML/AI are trained together because employers no longer treat them as separate hobbies.

Replace Stale Keywords With This Year's Work Python, SQL, Power BI/Tableau, Spark, Databricks, Snowflake, classical ML plus modern deep learning, NLP, Hugging Face-style LLM work, and cloud AI services.

Projects sound like the current bar: LLM-assisted workflows, pipeline-backed models, dashboards on warehouse data.

Certifications and interview drills make the new stack usable in a 60-minute screen, not only in a course email.

Since 2010, we've 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.

You're not alone—and you're not the problem.

The reality? Most CS grads struggle to land interviews because their resumes look just like everyone else's.

Employers want more than a diploma—they want proven, practical skills, real-world tools, and candidates who are ready to perform from day one.

That's exactly what SynergisticIT delivers.

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? | Get Hired for the Market That Exists After successful completion, attendees are hired as data scientists, ML engineers, data engineers, and hybrid analyst-scientist roles, with salary ranges commonly cited from the mid-$80ks to $154k.

Employer examples include Apple, Google, Walmart Labs, Client, Client, and PayPal.

An outdated stack is fixable.

Repeating old applications is not.

Update the toolkit and the interview.

When nothing else works, JOPP works.

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. xsgimln

Please unsubscribe if contacted or if you don't want to be contacted please don't submit your resume.