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Entry Level Machine Learning Jobs in Harrison, NJ

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full time positions ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... For data science/machine learning positions required skills include a bachelors degree or masters ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates REQUIRED SKILLS ...

Currently, we are looking for entry-level software programmers, Java full stack developers, Python ... We want data science/machine learning/data analyst and Java full stack candidates. For data science ...

Junior Software Developer

Corona, NY

$70.50K - $91.60K/yr

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Entry Level Data Engineer

Brooklyn, NY

$120.90K - $145.20K/yr

Currently, we are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, data analysts/data scientists, machine learning engineers for full-time positions ...

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Entry Level Machine Learning information

See Harrison, NJ salary details

$12

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How much do entry level machine learning jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for entry level machine learning in Harrison, NJ is $18.29, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $19.90 per hour, depending on experience, location, and employer.

What Are Entry Level Machine Learning Jobs?

Entry-level machine learning jobs focus on creating and using software for the development of artificial intelligence (AI). In this role, you may help program computer software, engineer mechanical solutions, help develop learning objectives, and use analytics to determine whether or not the technology created is meeting development goals. Many entry-level machine learning jobs focus on particular parts of the industry. For example, some companies focus on surveillance and intelligence, while others are creating technology for self-driving vehicles. Employers often use this position as a type of extended learning period to help you develop your skills before you start taking responsibility for major projects.

What are the key skills and qualifications needed to thrive as an Entry Level Machine Learning Engineer, and why are they important?

To thrive as an Entry Level Machine Learning Engineer, you need a solid background in mathematics, statistics, and programming (especially in Python), typically supported by a degree in computer science or a related field. Familiarity with machine learning frameworks like TensorFlow or PyTorch, version control systems like Git, and data analysis libraries is commonly required. Strong problem-solving abilities, curiosity, and effective communication skills help differentiate candidates in collaborative and fast-evolving environments. These skills and qualifications are essential for building, testing, and improving machine learning models that drive innovation and business value.

What types of projects can an entry-level machine learning professional expect to work on in their first year?

As an entry-level machine learning professional, you’ll typically start by supporting more senior data scientists and engineers with tasks such as data cleaning, exploratory data analysis, and building baseline models. You may work on pilot projects like developing recommendation systems, automating simple classification tasks, or contributing to model evaluation and performance tuning. Collaboration with cross-functional teams—including software engineers, product managers, and domain experts—is common, providing valuable exposure to real-world business problems and laying a foundation for more complex responsibilities as you gain experience.

What is the difference between Entry Level Machine Learning vs Data Analyst?

AspectEntry Level Machine LearningData Analyst
Required CredentialsBachelor's in CS, Math, or related; some knowledge of programming and statisticsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and data visualization tools
Work EnvironmentTech companies, startups, research labs; focus on developing models and algorithmsBusiness, finance, marketing; focus on interpreting data and generating reports
Employer & Industry UsageTech, e-commerce, healthcare; roles involve building predictive modelsRetail, finance, consulting; roles involve analyzing data trends and insights

Entry Level Machine Learning roles focus on developing algorithms and models using programming and statistical skills, often in tech-driven environments. Data Analysts interpret and visualize data to support business decisions, typically using tools like Excel and SQL. While both roles require analytical skills, Machine Learning positions emphasize coding and model development, whereas Data Analysts focus on data interpretation and reporting.

What job categories do people searching Entry Level Machine Learning jobs in Harrison, NJ look for? The top searched job categories for Entry Level Machine Learning jobs in Harrison, NJ are:
What cities near Harrison, NJ are hiring for Entry Level Machine Learning jobs? Cities near Harrison, NJ with the most Entry Level Machine Learning job openings:
Entry Level Software Developer

Entry Level Software Developer

SynergisticIT

Jersey City, NJ

Other

Posted 4 days ago


Job description

Synergisticit Job Opportunities

For more than 12 years Synergisticit has helped jobseekers stand out from other jobseekers by providing candidates the requisite skills, experience and technical competence to outperform at interviews and at clients. Here at Synergisticit we just don't focus on getting you a tech job we make careers.

In this market also our candidates get multiple job offers and $100k+ salaries.

We regularly interact with the top tech companies to give our candidates a competitive advantage-Please see us exhibiting at Oracle Cloud World/Oracle Java One (Las Vegas) -2023/2022 and at Gartner Data Analytics Summit (Florida)-2023.

All positions are open for all visas and US citizens.

We at Synergisticit understand the problem of the mismatch between employer's requirements and employee skills and that's why since 2010 we have helped thousands of candidates get jobs at technology clients like apple, google, Paypal, western union, client, visa, walmart lab etc to name a few.

Currently, we are looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, 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.

We assist in filing for STEM extension and also for H1b and green card filing to candidates.

We want data science/machine learning/data analyst and Java full stack candidates.

For data science/machine learning positions:

Required skills:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, SAS, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills
  • Preferred skills: NLP, text mining, Tableau, PowerBI, Databricks, Tensorflow

Required skills for Java/full stack/software positions:

  • Bachelors degree or masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

If you get emails from our job placement team and are not interested please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements.

No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates.