ZipRecruiter

Log In

2

Entry Level Machine Learning Jobs in Harrison, NJ

Sogeti

Entry Level Technology Consultant

New York, NY · On-site

As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based ... Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering ...

SynergisticIT

Java Developer

Manhattan, NY

$56.25 - $72.75/hr

Currently, we are looking for qualified entry-level Data Scientists who can apply Data Science ... If you're lured by the endless possibilities presented by AI, Machine Learning, IoT, and Data ...

SynergisticIT

Junior ML Engineer

Manhattan, NY

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... entry level position the additional skills and Project work with hands on experience building ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... understanding of machine learning concepts and natural language processing Experience with AI ...

SynergisticIT

JUNIOR JAVA DEVELOPER

Union City, NJ

Excellent written and verbal communication skills Required Skills for Data Science/Machine Learning ... entry level position the additional skills and project work are the only way a candidate can be ...

Simulmedia

Generative AI Analyst

New York, NY · On-site

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... machine learning concepts and natural language processing • Experience with AI platforms and ...

Simulmedia

Generative AI Analyst

New York, NY · On-site +1

$50K - $60K/yr

We seek an entry-level AI Analyst to join our team to research, prototype and implement AI ... machine learning concepts and natural language processing ● Experience with AI platforms and ...

Biz2Credit Inc

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

Biz2Credit Inc

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

Biz2Credit Inc

Underwriter

Manhattan, NY · On-site

$65K - $85K/yr

... machine learning to make lending more efficient, effective, and accessible. But we're more than ... for entry-level applicants. * Strong analytical skills with the ability to interpret complex ...

next page

Showing results 1-20

All JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Harrison, NJ

Entry Level Machine Learning information

See Harrison, NJ salary details

$12

$18

$22

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

As of Jun 11, 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 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 a $900,000 AI job?

A $900,000 AI-related job typically refers to high-level roles such as senior machine learning engineers, AI research directors, or chief AI officers, often found in large tech companies or specialized firms. These positions usually require extensive experience, advanced skills in deep learning, data science, and proficiency with tools like TensorFlow or PyTorch, along with leadership responsibilities and sometimes equity or bonuses. Such salaries are rare and generally reflect seniority, expertise, and the strategic importance of AI initiatives within organizations.

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.

Which 3 jobs will survive AI?

Entry level machine learning roles are likely to persist as they require specialized skills in data analysis, programming, and understanding complex algorithms. Jobs that involve creative thinking, emotional intelligence, or physical tasks, such as data scientists, AI specialists, and software engineers, are expected to remain in demand despite AI advancements.

How to get into machine learning with no experience?

Entry level machine learning roles typically require foundational knowledge in programming, mathematics, and data analysis. Gaining skills through online courses, tutorials, and practicing with projects using tools like Python and libraries such as scikit-learn or TensorFlow can help build a portfolio. Earning certifications or completing relevant coursework can also improve job prospects for beginners.

What are entry level machine learning jobs?

Entry level machine learning jobs are positions designed for individuals just starting their careers in the field of machine learning. These roles typically involve working on data preparation, building and testing basic models, and assisting senior data scientists or engineers. Common job titles include Machine Learning Engineer, Data Analyst, or Junior Data Scientist. Requirements often include proficiency in programming languages such as Python, foundational knowledge of statistics, and experience with machine learning libraries. These jobs provide hands-on experience and mentorship to help new professionals grow their skills.

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 engineers make $500,000?

Senior engineers in fields like software, electrical, or aerospace engineering can reach or exceed $500,000 annually, especially with experience, specialized skills, and leadership roles. High-paying positions often require advanced expertise, certifications, and work in competitive industries or companies with lucrative compensation packages.
More about Entry Level Machine Learning jobs
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 Machine Learning jobs near you

Entry Level Technology Consultant

Sogeti

New York, NY • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 15 days ago

Job description

Details
LAUNCH YOUR CAREER WITH SOGETI!
At Sogeti, part of the Capgemini Group, we empower new graduates to turn curiosity into solutions, creativity into client impact, and learning into accelerated career growth. If you're excited to solve complex challenges, work with emerging technologies, and collaborate with industry-leading clients across the U.S., this is your launchpad .
As an Entry-Level Technology Consultant at Sogeti , you wi ll join one of our core practices based on your background and interests:
  • Applications, Cloud & Experience
  • Quality Engineering
  • Insights & Data

From your first day, you could be contributing to real client initiative s designing modern applications, enhancing digital experiences, supporting cloud transformations, engineering quality at scale, or turning data into business insight.
Artificial Intelligence touches every part of our work, giving you the opportunity to learn and build with the most innovative tools shaping the future of consulting.
What you will d o at Sogeti :
  • Partner with client s to understand business challenges and contribute to solutions that matter.
  • Work on modern, high visibility projects using cutting-edge technologies.
  • Learn directly from experienced consultants through structured mentorship and ongoing development.
  • Explore emerging tech-from artificial intelligence / machine learning to cloud-native engineering-through internal communities and training paths.
  • Collaborate with national teams on projects that span industries including health care , retail, manufacturing, financial service, and more.
  • Build a career path with clear opportunities for advancement, certifications, and specialization s .

What you will b ring :
  • A bachelor's degree in Computer Science , Software Engineering, Data Analytics, Quality Engineering, Artificial Intelligence, or a related field.
  • Strong analytical and problem - solving abilities, paired with a drive to learn fast and take on new challenges.
  • Clear, confident communication skills and a natural ability to collaborate with teammates and clients.
  • A passion for technology and curiosity about how innovative solutions can make a real impact.
  • A growth mindset demonstrated through your coursework, internships, side projects, leadership roles, hackathons, research, or self - taught exploration.
  • The enthusiasm to thrive in dynamic, fast - moving environments where teamwork and creativity fuel success.

Why Sogeti :
  • Impact . F rom day one , you may contribute to real-world projects, not just shadow work.
  • Professional growth. Certifications, mentorship, and career coaching are built into your experience.
  • Community. We're big enough to offer enterprise-grade opportunities but small enough to know your name.
  • Work that matters. Our consultants shape digital transformation for clients across the U.S.

We are currently hiring college graduates into our Northeast division, with openings available in New York City, NY
If you are looking to launch your consulting career in one of these growing markets, we encourage you to apply and begin your journey with Sogeti.
Life at Sogeti : Sogeti supports all aspects of your well-being throughout the changing stages of your life and career. For eligible full-time employees, we offer:
  • Flexible work options
  • 401(k) with 150% match up to 6%
  • Employee Share Ownership Plan
  • Medical, Prescription, Dental & Vision Insurance
  • Life Insurance
  • 100% Company-Paid Mobile Phone Plan
  • 3 Weeks PTO + 7 Paid Holidays
  • Paid Parental Leave
  • Adoption, Surrogacy & Cryopreservation Assistance
  • Subsidized Back-up Child/Elder Care & Tutoring
  • Career Planning & Coaching
  • $5, 250 Tuition Reimbursement & 20,000+ Online Courses
  • Employee Resource Groups
  • Counseling & Support for Physical, Financial, Emotional & Spiritual Well-being
  • Disaster Relief Programs

About Sogeti
Part of the Capgemini Group, Sogeti makes business value through technology for organizations that need to implement innovation at speed and want a local partner with global scale. ¿ With a hands-on culture and close proximity to its clients, Sogeti implements solutions that will help organizations work faster, better, and smarter. By combining its agility and speed of implementation through a DevOps approach, Sogeti delivers innovative solutions in quality engineering, cloud and application development, all driven by AI, data and automation.
Become Your Best | www.sogeti.us
Disclaimer
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.
INCLUDE IF POSTED IN A STATE WITH PAY TRANSPARENCY REQUIREMENTS:
Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at
or near the top of the range for their role. The base salary range for the tagged location is [ $65,000 ].
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

Apply