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Junior Ml Engineer Jobs in Indiana (NOW HIRING)

Vergence

Senior AI/ML Engineer

Bedford, IN

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

Vergence

Senior AI/ML Engineer

Bedford, IN · On-site

$93K - $128K/yr

Develop and prototype AI/ML systems to address mission-specific requirements, including computer ... Proven ability to lead complex technical efforts, mentor junior engineers, and interface with ...

Munich Re

Data Scientist

Indianapolis, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Munich Re

Data Scientist

Fishers, IN · On-site +1

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Mentor junior team members. * Data Scientist: 2 or more years of data science/predictive analytics ...

Elanco

Advisor R&D

Indianapolis, IN

Lead ML/CV work for key R&D programs, partnering with scientists to turn target identification ... PhD in a quantitative field (e.g., Data Science, Engineering, Physics, Mathematics, Statistics ...

Crowe LLP

Senior AI Engineer

Indianapolis, IN · On-site +1

$99K - $137K/yr

Guide junior and mid-level engineers through design reviews, code reviews, and hands-on technical ... Deep proficiency in Python, ML frameworks, and cloud-native engineering * Strong understanding of ...

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Junior Ml Engineer information

See Indiana salary details

$31.9K

$68.3K

$104.2K

How much do junior ml engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for junior ml engineer in Indiana is $68,322.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,200.00 and $76,100.00 per year, depending on experience, location, and employer.

What is a junior ML engineer?

Junior ML Engineers are entry-level professionals who assist in designing, building, and deploying machine learning models under the supervision of more experienced engineers or data scientists. They typically work on data preprocessing, implementing algorithms, and supporting the maintenance and improvement of ML systems. Junior ML Engineers are expected to have foundational knowledge in programming, mathematics, and machine learning concepts, and they often gain hands-on experience by working on real-world projects as part of a team.

What are some common challenges faced by junior ML engineers in their first year on the job?

Junior ML Engineers often encounter challenges such as bridging the gap between academic knowledge and real-world applications, understanding complex data pipelines, and managing large datasets. They may also need to quickly learn company-specific tools and frameworks, as well as adapt to working in cross-functional teams with data scientists, software engineers, and product managers. Seeking mentorship, asking questions, and actively participating in team meetings can help overcome these hurdles and accelerate professional growth.

What are the key skills and qualifications needed to thrive as a junior ML engineer, and why are they important?

To thrive as a Junior ML Engineer, you need a strong foundation in programming (especially Python), statistics, and machine learning concepts, typically supported by a degree in computer science or a related field. Familiarity with ML libraries such as TensorFlow or PyTorch, experience with version control systems like Git, and certifications from platforms like Coursera or AWS can be advantageous. Strong problem-solving skills, curiosity, and effective communication help you collaborate with teams and learn quickly. These skills and qualities are essential to efficiently build, test, and deploy machine learning models that drive business value.

What is the difference between Junior ML Engineer vs Data Scientist?

AspectJunior ML EngineerData Scientist
Required CredentialsBachelor's in CS, Data Science, or related field; some experience with ML frameworksBachelor's or Master's in Data Science, Statistics, or related field; strong analytical skills
Work EnvironmentDeveloping and deploying ML models, coding, testingData analysis, modeling, interpreting data, creating reports
Employer & Industry UsageTech companies, startups, AI-focused firms

While both roles involve working with data and machine learning, a Junior ML Engineer primarily focuses on building and deploying ML models, often with coding and engineering tasks. A Data Scientist emphasizes data analysis, statistical modeling, and deriving insights. The roles overlap in skills and tools but differ in their core responsibilities and focus areas.

Are junior ML engineers still in demand?

Junior ML engineers are currently in demand as companies seek to develop and implement machine learning solutions. Skills in programming, data analysis, and familiarity with tools like Python and TensorFlow enhance job prospects in this growing field.

How much does a junior machine learning engineer earn?

A junior machine learning engineer typically earns between $70,000 and $100,000 annually, depending on location, education, and industry. Entry-level roles often require knowledge of programming languages like Python and familiarity with machine learning frameworks such as TensorFlow or PyTorch.

What does a junior machine learning engineer do?

A junior machine learning engineer assists in developing, testing, and deploying machine learning models under supervision. They work with data preprocessing, feature engineering, and use tools like Python and frameworks such as TensorFlow or PyTorch to support AI projects. The role often involves learning from senior engineers and gaining experience in model optimization and evaluation.

What are the most commonly searched types of Ml Engineer jobs in Indiana?

The most popular types of Ml Engineer jobs in Indiana are:

What are popular job titles related to Junior Ml Engineer jobs in Indiana?

For Junior Ml Engineer jobs in Indiana, the most frequently searched job titles are:

What job categories do people searching Junior Ml Engineer jobs in Indiana look for?

The top searched job categories for Junior Ml Engineer jobs in Indiana are:

Junior Ml Engineer jobs near you
Infographic showing various Junior Ml Engineer job openings in Indiana as of August 2026, with employment types broken down into 90% Full Time, 6% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $68,322 per year, or $32.8 per hour.

Senior AI/ML Engineer

Vergence

Bedford, IN

$93K - $128K/yr

Full-time

Re-posted 23 days ago

Job description

Must be able to work on-site in Bedford, IN 1-2 days/week.

Responsibilities:

  • Partner with project managers and engineering teams to define objectives for AI/ML systems in support of maneuver, surveillance, and engagement missions.
  • Develop and prototype AI/ML systems to address mission-specific requirements, including computer vision, sensor fusion, and decision-support applications.
  • Conduct rigorous testing and evaluation of AI/ML performance against operational datasets.
  • Analyze test data to identify model strengths, weaknesses, and mission relevance.
  • Refine and optimize systems to ensure robustness, scalability, and cyber resilience.
  • Troubleshoot complex system challenges and provide technical guidance for deployed solutions.
  • Deliver comprehensive documentation and technical reports to stakeholders.
  • Maintain awareness of emerging AI/ML technologies, software engineering practices, and cyber defense techniques relevant to mission-critical systems.

Qualifications:

  • Active DoD Secret Clearance (Top Secret preferred).
  • Bachelor's degree in Computer Science, Engineering, or related technical discipline (Master's preferred).
  • 10+ years of progressive experience in AI/ML engineering, software development, or applied data science.
  • Expertise in developing, deploying, and securing AI/ML applications within mission-critical or defense environments.
  • Demonstrated experience with LLMs, MLOps pipelines, and modern ML frameworks (e.g., PyTorch, TensorFlow).
  • Strong background in software and cyber engineering principles, including system hardening, secure coding, and vulnerability mitigation.
  • Proven ability to lead complex technical efforts, mentor junior engineers, and interface with government stakeholders.
  • DoD 8570 Advanced certification (e.g., SecurityX, GCSA, CCSP, or equivalent) must be obtained and maintained.
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About Vergence

Sourced by ZipRecruiter

Vergence is an SBA-certified 8(a) consulting firm based out of Indianapolis. Our focus areas are business consulting, technology services, and healthcare management. We work with a wide range of government and commercial entities.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Indianapolis, IN, US

Year founded

2011

Social media

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