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Entry Level Machine Learning Jobs in Syracuse, NY

SynergisticIT

Data (Entry Level)

Syracuse, NY · On-site

$16.75 - $22.50/hr

Machine Learning. Tools Used: SQL, Teradata, Tableau, R, Python, SAS start your career with a reputed organization like Google, Apple, eBay, Wal-Mart Labs, PayPal, Western Union, Cisco Systems, etc ...

WestRock

Entry Level Technician

Syracuse, NY · On-site

$23.77 - $28.31/hr

Helps with the paper machines during unplanned downtime * Starch unloading * Utilizes various ... Comprehensive training with numerous learning and development opportunities * An attractive salary ...

Cook & Boardman

Install Glazier

Syracuse, NY · On-site

$22 - $30/hr

Career Growth: You'll benefit from continuous learning, mentorship, and leadership training ... These may include outdoor weather, proximity to forklifts or other heavy machinery, and the use of ...

All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Syracuse, NY

Entry Level Machine Learning information

See Syracuse, NY salary details

$12

$17

$21

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

As of Aug 17, 2026, the average hourly pay for entry level machine learning in Syracuse, NY is $17.26, according to ZipRecruiter salary data. Most workers in this role earn between $15.43 and $18.75 per hour, depending on experience, location, and employer.

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.

How to get into entry level machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, statistics, and data analysis. Gaining skills through online courses, practicing with projects, and learning tools like Python, TensorFlow, or scikit-learn can help build a portfolio; internships or entry-level positions can provide practical experience.

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 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 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.

More about Entry Level Machine Learning jobs

What are the most commonly searched types of Machine Learning jobs in Syracuse, NY?

The most popular types of Machine Learning jobs in Syracuse, NY are:

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For Entry Level Machine Learning jobs in Syracuse, NY, the most frequently searched job titles are:

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The top searched job categories for Entry Level Machine Learning jobs in Syracuse, NY are:

What cities near Syracuse, NY are hiring for Entry Level Machine Learning jobs?

Cities near Syracuse, NY with the most Entry Level Machine Learning job openings:

Entry Level Machine Learning jobs near you
Infographic showing various Entry Level Machine Learning job openings in Syracuse, NY as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $35,892 per year, or $17.3 per hour.

Data (Entry Level)

SynergisticIT

Syracuse, NY • On-site

$16.75 - $22.50/hr

Other

Re-posted 11 days ago

Job description

Job Title

job Description SynergisticIT is a full-service staffing and placement firm servicing clients in America for the past 10 years. We are dedicated towards fulfilling the IT needs of our clients. From staffing to full implementation of projects we provide the highest quality IT Services.

Required Qualifications: Bachelors or Masters in Computer Science/MIS/IT.

Skills Required: Python-Statistical Program Ming. Structured Query Language (SQL) Microsoft Excel. Critical Thinking. Data Visualization. Presentation Skills. Machine Learning. Tools Used: SQL, Teradata, Tableau, R, Python, SAS start your career with a reputed organization like Google, Apple, eBay, Wal-Mart Labs, PayPal, Western Union, Cisco Systems, etc. (Our Candidates work with these organizations).

Regards, Vaibhavi Shinde vaibhavi@synergisticit.com Sr. Talent Acquisition Specialist

39141 Civic Centre Dr, Femont, CA 94539, United States

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