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Entry Level Machine Learning Jobs in Indiana (NOW HIRING)

SynergisticIT

Python Programmer (Remote)

Fishers, IN · On-site

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 ...

Curtisswright

Machine Operator

Indianapolis, IN · On-site

$19 - $21/hr

Machine Operator *Entry Level - Full Training Provided* The Machine Operator is responsible for the ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

Curtiss-Wright

Machine Operator

Indianapolis, IN · On-site

$19 - $21/hr

Machine Operator *Entry Level - Full Training Provided* The Machine Operator is responsible for the ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

Curtiss-Wright

Machine Operator

Indianapolis, IN

$19 - $21/hr

Machine Operator *Entry Level - Full Training Provided* The Machine Operator is responsible for the ... Learning and Development Opportunities I Referral Program I Competitive Pay I Recognition I ...

MORryde

Entry Level Maintenance Technician

Elkhart, IN · On-site

... machines, and welding equipment including both manual and robotic. MORryde provides an opportunity ... At MORryde we want to provide our team with a learning environment both in and outside of work.

Amatrol

Manual Mill Machinist

Jeffersonville, IN · On-site

$23 - $25/hr

Free access for our full eLearning library equivalent to Ivy Tech courses. * Opportunity to advance ... ranging from entry level basic technical skills to advanced technology troubleshooting. DAC ...

Amatrol

Manual Mill Machinist

Jeffersonville, IN

$23 - $25/hr

Free access for our full eLearning library equivalent to Ivy Tech courses. * Opportunity to advance ... ranging from entry level basic technical skills to advanced technology troubleshooting. DAC ...

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All JobsMachine Learning JobsEntry Level Machine Learning JobsEntry Level Machine Learning Jobs in Indiana

Entry Level Machine Learning information

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

As of Jul 29, 2026, the average hourly pay for entry level machine learning in Indiana is $16.62, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $18.08 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 $900000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers, AI research directors, or data science executives, often requiring advanced skills, extensive experience, and specialized knowledge. These positions usually involve leadership, strategic planning, and the development of complex AI systems, and they tend to be found in large tech companies or specialized AI firms.

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 knowledge in data analysis, programming, and domain expertise that AI tools currently cannot fully replicate. Jobs involving complex problem-solving, creativity, and human interaction, such as data scientists, AI ethics specialists, and AI system trainers, are also expected to remain in demand. Developing skills in programming languages like Python and understanding of algorithms will enhance job security in this field.

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 jobs pay $4000 a week without a degree?

Entry-level machine learning roles typically do not pay $4000 a week without advanced skills or certifications. High-paying tech jobs often require specialized knowledge, experience, or degrees, but some freelance data scientists or AI consultants with strong portfolios can reach high earnings through project-based work. Most roles at this pay level generally demand experience or advanced training beyond entry-level positions.
More about Entry Level Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
What are popular job titles related to Entry Level Machine Learning jobs in Indiana? For Entry Level Machine Learning jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Entry Level Machine Learning jobs in Indiana look for? The top searched job categories for Entry Level Machine Learning jobs in Indiana are:
What cities in Indiana are hiring for Entry Level Machine Learning jobs? Cities in Indiana 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 Indiana as of July 2026, with employment types broken down into 84% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $34,567 per year, or $16.6 per hour.

Junior Machine Learning Engineer-remote

SynergisticIT

Lafayette, IN • On-site

Other

Posted 6 days ago

Job description

Your Degree Was Only the Beginning — Now It’s Time to Get Hired - Get Hired with a Process which Works ! A CS degree gives you a foundation, but employers want more — they want proof you can apply your knowledge in real‑world scenarios. SynergisticIT helps you bridge that gap. You’ll build industry‑level projects, sharpen your interview skills, and gain hands‑on experience in the technologies companies are hiring for right now. The program also markets your profile directly to Fortune 500 clients ,giving you visibility beyond what a degree alone can provide. If you want to turn your education into a real job offer, Synergisticit is the next step you need. If you’re getting interviews but not offers, you’re closer than you think—yet that final gap can feel brutal. Many candidates spend months learning frameworks and finishing courses, only to freeze during technical screens, system questions, or behavioral rounds. The result is painful: “almost hired” over and over again, while the confidence drops. The truth is that interviewing is its own skill, and Colleges don’t teach it. They teach how to code—but not how to think out loud, structure answers, debug in real time, defend trade-offs, and communicate like an engineer. Since 2010, SynergisticIT has helped candidates land full-time roles with many major employers. The best way to understand this: you can be smart and still fail interviews if you don’t know what the interview is truly measuring. Interviews rarely test “can you write code at home.” They test: Can you solve problems under constraints and time pressure? Can you communicate your approach clearly? Can you handle edge cases and complexity? Can you explain trade-offs and design choices? Can you show job-ready project depth, not just toy examples? SynergisticIT focuses on roles such as entry-level software programmers, Java full stack developers, Python/Java developers, Data Analysts, Data Engineers, Data Scientists, and Machine Learning Engineers. The focus areas include Java / Full Stack / DevOps and Data tracks like Data Engineering, Data Analytics/BI, ML/AI, because those are the roles employers continue to hire for. If your pattern is “I reach interviews but don’t clear them,” you likely need three upgrades: Stronger project narratives (what you built, why it matters, how it works) Stronger technical foundations (DSA, OOP, APIs, SQL, pipeline design) Mock interview reps (realistic simulation, feedback, improvement loops) Many jobseekers underestimate how much hiring is about clarity. You don’t need to be perfect—you need to show you can think, collaborate, and deliver. That’s why guided mock interviews and structured interview coaching can be a game-changer. Ideal candidates for this version include: Candidates who get interviews but repeatedly fall short Jobseekers stuck in “screen round limbo” Developers who panic during live coding Candidates who can build projects but struggle to explain them Professionals who haven’t interviewed in years and feel rusty Career changers who fear “I’m behind CS grads” (often untrue with support) If you’re tired of failing interviews and want a structured plan to convert interviews into offers, start here: please read our blogs · Why do Tech Companies not Hire recent Computer Science Graduates | https://www.synergisticit.com/why-tech-companies-dont-hire-recent-cs-graduates/ · Technical Skills or Experience? | Which one is important to get a Job? | https://www.synergisticit.com/tech-skill-or-experience-which-one-is-more-important-for-a-jobseeker/ Please check below links: Synergisticit Industry Event videos (OCW, JavaOne, Gartner data Analytics): https://fast.wistia.com/embed/channel/k4mlq69ekl USA Today feature Discover JOPP: https://www.synergisticit.com/jopp/ Contact: https://www.synergisticit.com/contact-us/ Because getting hired isn’t about trying harder—it’s about preparing smarter, practicing correctly, and having the right guidance. Please note: Resume databases are shared with clients and interested clients will reach out directly if they find a qualified candidate for their req. Resume submissions may be shared with our JOPP team database also. Please unsubscribe if contacted or if you don’t want to be contacted please don’t submit your resume.

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