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Junior Machine Learning Jobs in Indiana (NOW HIRING)

... machine learning engineers. Who Should Apply Recent computer science/engineering/mathematics ... it's a junior or entry-level position. The additional skills and project work with hands-on ...

AI Solutions Architect

Indianapolis, IN

$60.25 - $79.25/hr

Leading sales, solution design, and delivery for artificial intelligence, machine learning ... junior team members on technical practices A successful candidate would possess these skills:

Machine Learning Engineer (Llama AI Platform) Location: Remote (Preferred U.S. Time Zones ... Mentor junior developers and share best practices. Required QualificationsTechnical Skills * 3+ ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... junior staff while upholding remarkable standards of quality and innovation in deliverables.

Excellent written and verbal communication skills Required skills for Data Science/Machine Learning ... it's a junior or entry level position. The additional skills and project work with hands on ...

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Junior Machine Learning information

See Indiana salary details

$7

$25

$45

How much do junior machine learning jobs pay per hour?

As of Jun 17, 2026, the average hourly pay for junior machine learning in Indiana is $25.65, according to ZipRecruiter salary data. Most workers in this role earn between $15.58 and $31.59 per hour, depending on experience, location, and employer.

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

AspectJunior Machine LearningData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML toolsBachelor's or Master's in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentEntry-level projects, supervised tasks, team collaborationAdvanced analysis, model development, cross-functional teams
Industry UsageCommon in tech companies, startups, research labsWidespread across industries like finance, healthcare, tech

Junior Machine Learning roles focus on foundational ML tasks and learning on the job, while Data Scientists handle complex data analysis, model building, and strategic insights. The roles differ mainly in experience level and scope of responsibilities, but both require strong technical skills and familiarity with data tools.

What does a Junior Machine Learning Engineer do?

A Junior Machine Learning Engineer assists in the development and implementation of machine learning models and algorithms under the supervision of more experienced engineers. They typically help with data collection, cleaning, feature engineering, model training, and evaluation. Junior engineers may also write code, test prototypes, and contribute to improving model performance while learning best practices in the field. Their role often involves collaborating with data scientists and software engineers to integrate machine learning solutions into products or services.

What engineers make $500,000?

Senior engineers in fields like software, data engineering, or specialized roles such as machine learning engineers can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Compensation often includes base salary, bonuses, and stock options, particularly at large tech companies or startups with significant funding.

What types of projects and tasks can a Junior Machine Learning professional typically expect to work on in their first year?

As a Junior Machine Learning professional, you’ll often support senior data scientists and engineers by preparing data, implementing basic algorithms, and assisting with model evaluation. Your daily tasks may include data cleaning, feature engineering, running experiments, and writing code to automate data pipelines. You might also help document processes and present your findings to team members. While the work is often collaborative, you’ll have opportunities to take ownership of smaller projects and progressively contribute to larger initiatives as you gain experience.

Can I get into AI with no experience?

Junior Machine Learning roles typically require some foundational knowledge of programming, mathematics, and data analysis. While prior experience is often preferred, beginners can enter the field by learning relevant skills through online courses, tutorials, and projects, and by gaining familiarity with tools like Python and machine learning frameworks. Building a portfolio and obtaining certifications can also improve chances of entry-level employment.

Which 3 jobs will survive AI?

Junior Machine Learning roles are likely to persist as they require specialized knowledge, critical thinking, and domain expertise that AI 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. Continuous learning and adapting to new tools will be essential for these roles to stay relevant.

What is a $900,000 AI job?

A $900,000 AI job typically refers to high-level roles in artificial intelligence, such as senior machine learning engineers or AI research directors, often requiring advanced skills in deep learning, data science, and experience with tools like TensorFlow or PyTorch. These positions usually involve leadership responsibilities, extensive expertise, and may include stock options or bonuses as part of compensation packages.

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

To thrive as a Junior Machine Learning Engineer, you need a solid understanding of programming (especially Python), basic statistics, linear algebra, and familiarity with machine learning concepts, typically supported by a relevant degree or coursework. Proficiency in tools and frameworks like scikit-learn, TensorFlow, PyTorch, and version control systems such as Git is often expected. Strong problem-solving abilities, curiosity, and effective communication are crucial soft skills for collaborating with teams and explaining technical concepts. These skills and qualities are important because they enable you to contribute effectively to building, testing, and improving machine learning models in real-world applications.
What are the most commonly searched types of Machine Learning jobs in Indiana? The most popular types of Machine Learning jobs in Indiana are:
AI Machine Learning Scientist

AI Machine Learning Scientist

Elevance Health

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 12 days ago


Elevance Health rating

7.8

Company rating: 7.8 out of 10

Based on 333 frontline employees who took The Breakroom Quiz

164th of 261 rated insurance


Job description

Anticipated End Date:

2026-07-15

Position Title:

AI Machine Learning Scientist

Job Description:

AI Machine Learning Scientist

Location: Ideal candidates will be able to report to our Pulse Point location at 220 Virginia Avenue, Indianapolis, IN 46204.

This role enables associates to work virtually full-time with the exception of required in-person training sessions, providing maximum flexibility and autonomy. This approach promotes productivity, supports work-life integration, and ensures essential face-to-face onboarding and skill development.

Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law.

Work Hours: Monday to Friday, 8:00 am to 5:00 pm

The AI Machine Learning Scientist is responsible for developing experimental and analytic plans for machine learning algorithms and data modeling processes, establish strong baselines, and accurately determine causal relationships.

How You Will Make an Impact:

  • Leverage Artificial Intelligence (AI) scientific and statistical methods to assist with product creation, development, and improvement.
  • Engage with product teams and business stakeholders to align on project objectives and ensure AI models meet business goals.
  • Lead initiatives for developing Machine Learning (ML), Natural Language Processing (NLP), and Large Language Models (LLM) LLM models.
  • Play a critical role in steering the strategic direction for ML, NLP, LLM, and algorithm development within the company's AI/ML team, collaborating with distinguished experts in AI/ML modeling, ML engineering, data science, and data engineering.
  • Define and articulate roadmaps for AI/ML model development, acting as a key figure in AI-driven transformation to deliver value internally and to customers.
  • Design and develop customized ML, GenAI, NLP, and LLM models for both batch and stream processing-based AI/ML pipelines. This includes handling data ingestion, preprocessing, search and retrieval, Retrieval Augmented Generation (RAG), and ensuring that complete solutions meet all technical and business requirements, as well as Service Level Agreement (SLA) specifications.
  • Work closely with MLOps, machine learning engineers, and software engineers to ensure seamless integration of machine learning models into production systems.
  • Collaborate with the MLOps team to create and maintain strong evaluation solutions and tools that assess model performance, accuracy, consistency, and reliability during development and UAT.
  • Mentor junior team members and influence the strategic direction of our ML and data science projects.

Minimum Requirements:

  • Bachelor's degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study.
  • Four (4) years of Information Technology (IT) experience, or related experience.

Experience Requirements:

Four (4) years of required Information Technology (IT), or related experience must include:

  • Experience with Machine Learning techniques including supervised learning (linear regression and classification) and unsupervised learning (clustering).
  • Experience with Deep Learning techniques including convolutional neural networks, recurrent neural networks, and reinforcement learning.
  • Experience using Python programming language.
  • Experience with big data technologies including Hadoop, Apache Spark, and AWS.
  • Experience with relational database management and SQL.
  • Experience with Natural Language Processing (NLP) techniques including sentiment analysis and text classification.
  • Experience with statistical analysis and application of statistical methods.

Alternate Education / Experience Requirements:

  • Employer will accept a Master's degree in a highly quantitative field: Computer Science, Machine Learning, Operational Research, Analytics, Statistics, Mathematics, or a related field of study and
  • Two (2) years of Information Technology (IT) experience, or related. Must have the skills listed above.

Apply: https://careers.elevancehealth.com

Job Level:

Non-Management Exempt

Workshift:

Job Family:

IFT > Artificial Intelligence

Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health.


Who We Are

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve.


How We Work

At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business.


We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few.


Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process.


The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws.


Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process should submit the following form: Accessibility Accommodation Request Form and a member of the team will be in contact. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.


Prospective employees required to be screened under Florida law should review the education and awareness resources at HB531 | Florida Agency for Health Care Administration.


NOTE: Workday keeps job postings active through 11:59:59 PM on the day before the listed end date. Example: If the end date is 3/13, the posting will automatically come down on 3/12 at 11:59:59 PM. In other words - the job is posted until 3/13, not through 3/13.


What Elevance Health employees say

Pay

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Hours and flexibility

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About Elevance Health

Sourced by ZipRecruiter

Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. A Fortune 20 company with a longstanding history in the healthcare industry, we are looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. You will thrive in a complex and collaborative environment where you take action and ownership to solve problems and lead change. Do you want to be part of a larger purpose and an evolving, high-performance culture that empowers you to make an impact?

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Indianapolis, IN, US

Year founded

2004

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