Entry level Machine learning engineer/Data scientist/Java Devops developer

Synergistic it

Atlanta, GA

JOB DETAILS
SALARY
$82,000–$145,000 Per Year
SKILLS
Algorithms, Apple, Artificial Intelligence (AI), Big Data, Business Intelligence, Business Solutions, Career Development, Computer Science, Data Analysis, Data Cleaning, Data Mining, Data Modeling, Data Science, Data Sets, Data Visualization, DevOps, Healthcare, Intel Product Family, Java, Machine Learning, Mathematics, Predictive Modeling, Python Programming/Scripting Language, Right-Sizing, Software Engineering, Statistical Learning Theory, Statistical Modeling, Statistics
LOCATION
Atlanta, GA
POSTED
1 day ago

You have solved 500+ Leetcode Problems! —Still No Offers? Let’s Get You Hired with a plan which actually works.

You’ve done a ton of Leetcode. You’ve racked up certificates, aced LeetCode challenges, and you know your way around system design like the back of your hand. On paper, you’re everything a tech company wants. However tech stacks and requirement change every day. Also, tech clients want in depth Tech stack knowledge and the school projects don’t make the cut.

Since 2010, we’ve helped thousands of candidates land full-time jobs at tech leaders like Google, Apple, PayPal, Visa, Western Union, Wells Fargo, Intel, Paypal, JPMC, Wayfair, BOA, CITI and hundreds more with Job offers of $95k to $154k. Synergisticit’s JOPP focuses on closing the gap between your tech skills and what employers want now.

Open Roles We're Hiring For our clients:

  • Entry-Level Software Programmers (Java/Python)
  • Java Full Stack Developers
  • Data Analysts & BI Engineers
  • Data Scientists & ML Engineers

All visa types and U.S. citizens are encouraged to apply.

please check the below links


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
  • Candidates on F1/OPT needing a job for STEM extension or H-1B filing

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.

Top tech companies are flooded with smart grads. What gets you in the door now is real-world application, confidence in delivery, and the soft skills to own a room—or a Zoom. That’s what we upskill on

Please check the below links:

The Market’s Changed—Have You?

  • Develop and implement statistical predictive models and machine learning algorithms
  • Develop predictive models and machine learning algorithms using advanced methodologies
  • Develop statistical learning models for data analysis
  • Design and develop data mining and machine learning models and algorithms
  • Using machine learning and statistical techniques
  • Develop statistical models for data analysis
  • Demonstrate an advanced understanding of data mining, predictive analytics, machine learning and data visualization
  • Support analytics and machine learning model development
  • Implement data driven business solutions using advanced statistical methods and machine learning techniques
  • Clean and explore data and implement statistical/machine learning models
  • Create machine learning data models that develop new insights over time
  • Providing advanced predictive data analytics using big data and data science technology for healthcare innovation
  • Generate analytics on big data
  • Solve statistical, machine learning, analytical and data mining problems
  • Leverage statistical data modeling, data mining and machine learning techniques to provide solutions to new business problems
  • Deploy predictive models and/or machine learning algorithms on large static and/or streaming data sets
  • Optimizing classifiers using machine learning techniques
  • Building the coolest machine data analytics systems
  • Using various types of algorithms and machine learning modeling techniques
  • Define and develop machine learning and data mining strategies

About the Company

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Synergistic it