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Machine Learning Engineer Jobs in Indianapolis, IN

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

Certifications in artificial intelligence, machine learning, or cloud platforms, such as AWS Certified Machine Learning - Specialty, Google Cloud Professional Machine Learning Engineer, Microsoft ...

AI/ML engineer

Indianapolis, IN · On-site

$100K - $120K/yr

Job Summary : eTeam is a company focused on AI and machine learning solutions, and they are seeking an AI/ML Engineer to lead technical initiatives. The role involves designing and optimizing machine ...

Description Launch your machine learning career in Greenfield, IN as a Machine Technical Associate ... Knowledge of CNC and PLC systems and programming * Knowledge of robots * Demonstrated casting ...

Required : • Strong programming skills in Python. • Experience with machine learning and deep learning frameworks (PyTorch, TensorFlow, Scikit-learn). • Hands-on experience with LLMs, prompt ...

New

Senior ML Engineer

Indianapolis, IN

$99K - $137K/yr

Advanced Analytics And Machine Learning Team Member We are building a small, high-impact team to ... Collaborate with cross-functional teams (clinical engineering, finance, IT) to translate insights ...

They are seeking a highly skilled AI Developer responsible for designing, developing, and deploying ... Responsibilities : • Design, develop, and implement AI and machine learning models to solve ...

AI Software Engineer

Anderson, IN · On-site +1

$48.25 - $64/hr

If you want to know more about Big Data, artificial intelligence or machine learning and how they are changing the world, your place is here! We are an engineering and innovation company working in ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

AI Developer | About You As an AI Developer, you are responsible for designing, developing, and deploying artificial intelligence and machine learning solutions that drive business value and ...

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Machine Learning Engineer information

See Indianapolis, IN salary details

$27.6K

$112.9K

$169.7K

How much do machine learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for machine learning engineer in Indianapolis, IN is $112,926.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $135,900.00 per year, depending on experience, location, and employer.

Is ML full of coding?

Machine Learning Engineers typically do a significant amount of coding, especially in languages like Python or R, to develop algorithms, preprocess data, and build models. Strong programming skills are essential, along with knowledge of frameworks such as TensorFlow or PyTorch, but the role also involves data analysis, model evaluation, and collaboration with teams. Coding is a core component of the job, though some tasks may involve model deployment and optimization that require different skills.

What engineers make $500,000?

Senior machine learning engineers with extensive experience, advanced skills in deep learning and data science, and often working in high-paying industries such as finance or technology can earn $500,000 or more annually. Compensation typically includes base salary, bonuses, and stock options, especially at large tech companies or startups with significant funding.

What do machine learning engineers do?

Machine learning engineers develop algorithms and models that enable computers to learn from data and make predictions or decisions. They often work with large datasets, use programming languages like Python or Java, and utilize tools such as TensorFlow or PyTorch to build, test, and deploy machine learning systems in production environments.

What are Machine Learning Engineers?

Machine Learning Engineers are specialized software engineers who design, build, and deploy machine learning models and systems. They work at the intersection of software engineering and data science, transforming data-driven prototypes into scalable, production-ready solutions. Their responsibilities include data preprocessing, model selection, algorithm implementation, and optimizing models for performance and efficiency. Machine Learning Engineers often collaborate with data scientists, software developers, and other stakeholders to integrate AI technologies into products and services.

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

To thrive as a Machine Learning Engineer, you need strong programming skills (particularly in Python), a solid background in mathematics and statistics, and a degree in computer science or a related field. Experience with machine learning frameworks (such as TensorFlow or PyTorch), data processing tools, and cloud platforms is typically required. Problem-solving ability, effective communication, and adaptability are crucial soft skills for collaborating with teams and translating complex models into practical solutions. These competencies ensure the development, deployment, and continual improvement of machine learning systems that drive business value.

Which 5 jobs will survive AI?

Machine Learning Engineers are likely to continue to be in demand as they develop, implement, and maintain AI systems, requiring specialized skills in programming, data analysis, and model optimization. Roles that involve complex problem-solving, creativity, and human interaction—such as healthcare professionals, educators, skilled tradespeople, and certain managerial positions—are also expected to persist despite AI advancements. These jobs typically require emotional intelligence, adaptability, and domain expertise that AI cannot easily replicate.

What Does a Machine Learning Engineer Do?

A machine learning engineer maintains production systems and often works with other engineers. In this career, you work with software development methodology, use modern software development tools, and use agile practices. You also play a role in software design and architecture, so you may occasionally work with a programmer. An engineer may help to predict how a model should perform or seek out regression issues by using different test types and algorithms. To fulfill your duties and responsibilities, you work on a computer and use an array of skills and programs to carry out these tests.

What are some common challenges faced by Machine Learning Engineers when deploying models to production?

Machine Learning Engineers often encounter challenges such as ensuring model scalability, maintaining data consistency between training and production environments, and monitoring model performance over time. Integrating models into existing software infrastructure may require collaboration with DevOps and software engineering teams to address issues like latency, version control, and resource allocation. Additionally, ongoing model maintenance is crucial to prevent model drift and ensure that predictions remain accurate as new data becomes available.

What is the difference between Machine Learning Engineer vs Data Scientist?

AspectMachine Learning EngineerData Scientist
CredentialsBachelor's or Master's in CS, Data Science, or related; experience with ML frameworksBachelor's or Master's in Statistics, Data Science, or related; strong analytical skills
Work EnvironmentDevelops scalable ML models, deploys algorithms into productionAnalyzes data, builds models, interprets data insights
Industry UsageTech companies, startups, AI-focused firmsFinance, healthcare, marketing, research organizations

While both roles work with data and machine learning, Machine Learning Engineers focus on building and deploying scalable ML models in production environments. Data Scientists primarily analyze data, create models, and generate insights. The roles often overlap but differ in their core responsibilities and focus areas.

What are the most commonly searched types of Machine Learning Engineer jobs in Indianapolis, IN? The most popular types of Machine Learning Engineer jobs in Indianapolis, IN are:
What are popular job titles related to Machine Learning Engineer jobs in Indianapolis, IN? For Machine Learning Engineer jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer jobs in Indianapolis, IN look for? The top searched job categories for Machine Learning Engineer jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Machine Learning Engineer jobs? Cities near Indianapolis, IN with the most Machine Learning Engineer job openings:
Junior Sofware Engineer (Remote)/AI & Machine Learning Engineer

Junior Sofware Engineer (Remote)/AI & Machine Learning Engineer

SynergisticIT

Indianapolis, IN • On-site

Other

This job post has expired today. Applications are no longer accepted.


Job description

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That's why "I applied a lot” often leads to silence. The fix is not more applications. The fix is improving what your application communicates in the first 10 seconds.

Most rejections happen before a human ever sees your resume. Applicant tracking systems filter out thousands of qualified candidates every day. SynergisticIT helps you beat the system by optimizing your resume, preparing you for technical interviews, and marketing your profile directly to Fortune 500 clients.

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Why you may not be getting replies Your resume lacks stack clarity (recruiters can't quickly see your fit) Projects look like tutorials (no depth, no real-world features, no measurable outcomes) Skills are scattered (no coherent narrative: "What role are you targeting?”) You're missing job-market staples (Git, CI/CD basics, APIs, cloud exposure, SQL) You're not speaking the language of the job description SynergisticIT approaches this from both angles: build real skills and build a market-ready profile. preparing you for screening, interview calls, technical rounds, and offer negotiation readiness. Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data scientists, and ML/AI engineers.

The focus remains consistent: Java / Full Stack / DevOps plus Data Analytics / Data Engineering / Data Science / Machine Learning / AI. This breadth matters because today's employers value candidates who can handle more than one layer of the system. Ideal candidates for response-building support Recent grads, laid-off professionals, career switchers, candidates with gaps, experienced applicants not hearing back, and F1/OPT jobseekers needing a stable tech role.

SynergisticIT also provides support and guidance around STEM extension, and process support related to H-1B and Green Card filing once employed (as applicable through employers). Please read our blogs Why do Tech Companies not Hire recent Computer Science Graduates | SynergisticIT What Recruiters Look for in Junior Developers | SynergisticIT Software engineering or Data Science as a career? How OPT Students Can Land Tech Jobs – SynergisticIT If you want to explore, here are the key links: Event videos (OCW, JavaOne, Gartner): USA Today feature Client JOPP: Job Placement Program Contact Us https://www.synergisticit.com/contact-us/ If recruiters aren't responding, it's not the end—it's feedback.

And you can fix it with the right plan. 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.