Data Science/Machine learning/Data Analyst and Java Full stack

Synergisticit Inc.
United States
1 day ago
Apply on www.thejobnetwork.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Compensation
$100,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) JavaScript (Programming Language) Artificial Intelligence Computer Vision C++ (Programming Language) Information Systems Computer Programming Computer Engineering Data Visualization Github Python (Programming Language) Machine Learning
+13 more
Natural Language Processing Power BI Tensorflow Tableau (Software) Text Mining Large Language Models Spring-boot Information Technology Restful APIs Docker Jenkins Databricks Microservices

Requirements

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Engineers, Machine Learning engineers for full time positions with clients.

Who Should Apply Recent Computer science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and looking to make their careers in the Tech Industry., Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT

Knowledge of Core Java , javascript , C++ or software programming

Spring boot, Microservices, Docker, Jenkins, Github, Kubernates and REST API’s experience, Associate or Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT, Statistics, Mathematics or having good logical aptitude

Knowledge of Statistics, Gen AI, LLM, Sagemaker, Python, Computer Vision, data visualization tools

Preferred skills: NLP, Text mining, Tableau, PowerBI, Databricks, Tensorflow

Benefits & conditions

Since 2010 and almost 14 years SynergisticIT has helped Jobseekers get employed in the tech Job market by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients.

Post Covid the tech Layoffs have been massive-In 2022 there were 165,269 tech layoffs, In 2023 there were 264,220 tech layoffs and so far in 2024 there have been 126,382 tech layoffs. (Source Layoffs.fyi ) -Total layoffs as per this 555,871 tech layoffs.

Client, Dell and Cisco have announced 15,000/12,500 and 4000 tech layoffs respectively in August.

The Job market is Hyper Competitive. For 1 position 500-2000 candidates or more are applying and laid off job seekers are also competing for entry level Job positions.

Acquiring the right technology skillsets which are being demanded by clients and getting yourself in front of clients is the way to get to get Interviews and eventually a Job Offer. Survival of the Fittest is the only way to get a tech Job in this job market.

In this Layoffs fueled market also SynergisticIT’s candidates are able to achieve multiple job offers and $100k + salaries once they acquire the required skills.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.thejobnetwork.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:07 min

Inspecting default bridge architectures and custom Docker networks

Oliver Seitz Oliver Seitz · World Congress 2025

6:36 min

Funding open source through GitHub Accelerator and Sponsors

Stormy Peters · World Congress 2023

1:02 min

Applying an ETL methodology to infrastructure configuration management

Axel Barbier · World Congress 2023

1:34 min

Bringing diverse skills to industrial data science roles

Katja Träumner

2:34 min

Docker sandbox architecture and microVM environment integration

Manuel de la Peña Manuel de la Peña · World Congress 2026 Europe

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

Videos

See all

Related articles

See all