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Machine Learning Engineer New Grad Jobs in Indianapolis, IN

Design, develop, and deploy machine learning models and algorithms from proof of concept through ... Engineering. Five years or more experience deploying AI solutions at scale. Experience

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in ... Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch). * Excellent ...

... machine learning models and algorithms to solve complex business problems and improve operational ... or Data Engineer, preferably with experience incorporating AI/ML methodologies. • Strong ...

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

Showing results 41-60

Machine Learning Engineer New Grad information

See Indianapolis, IN salary details

$30.1K

$123.1K

$185K

How much do machine learning engineer new grad jobs pay per year?

As of Aug 12, 2026, the average yearly pay for machine learning engineer new grad in Indianapolis, IN is $123,086.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $148,200.00 per year, depending on experience, location, and employer.

What is a machine learning engineer new grad?

A Machine Learning Engineer New Grad job is an entry-level role for recent graduates specializing in machine learning and artificial intelligence. It typically involves developing, training, and deploying machine learning models, working with large datasets, and optimizing algorithms for performance. New grads in this role often collaborate with data scientists, software engineers, and product teams to integrate models into applications. Employers look for proficiency in programming (Python, TensorFlow, PyTorch), a strong foundation in ML concepts, and experience with data processing. This role provides an opportunity to gain hands-on industry experience and grow technical skills in real-world applications.

What are the key skills and qualifications needed to thrive in the machine learning engineer new grad position, and why are they important?

To thrive as a Machine Learning Engineer New Grad, a strong background in computer science, statistics, and mathematics, often supported by a relevant degree, is essential. Familiarity with programming languages like Python or Java, machine learning frameworks (such as TensorFlow or PyTorch), and basic knowledge of data tools and cloud platforms is typically required. Effective problem-solving, eagerness to learn, and clear communication help new grads excel when collaborating on projects and learning from senior team members. These skills and qualities are vital for adapting quickly, contributing to team goals, and building a successful foundation in this fast-evolving technical field.

What are the typical day-to-day tasks of a machine learning engineer new grad?

As a Machine Learning Engineer New Grad, your daily tasks often include collecting and preprocessing data, developing and testing machine learning models, and analyzing model performance. You may work closely with data scientists and software engineers to integrate models into production systems and address real-world business problems. Participating in team meetings, code reviews, and collaborative projects is common, providing opportunities to learn best practices and receive mentorship. This hands-on, varied workload helps you quickly build technical and collaborative skills early in your career.

What are the most commonly searched types of Machine Learning Engineer New Grad jobs in Indianapolis, IN? The most popular types of Machine Learning Engineer New Grad jobs in Indianapolis, IN are:
What are popular job titles related to Machine Learning Engineer New Grad jobs in Indianapolis, IN? For Machine Learning Engineer New Grad jobs in Indianapolis, IN, the most frequently searched job titles are:
What job categories do people searching Machine Learning Engineer New Grad jobs in Indianapolis, IN look for? The top searched job categories for Machine Learning Engineer New Grad jobs in Indianapolis, IN are:
What cities near Indianapolis, IN are hiring for Machine Learning Engineer New Grad jobs? Cities near Indianapolis, IN with the most Machine Learning Engineer New Grad job openings:
Infographic showing various Machine Learning Engineer New Grad job openings in Indianapolis, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 22% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $123,086 per year, or $59.2 per hour.

AI Engineer

Precinmac

Indianapolis, IN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 10 days ago


Job description

Position Title: AI Engineer

Position Summary: The AI Engineer is an experienced technical professional who bridges business strategy with AI technology to design and implement scalable, secure AI systems to meet organizational goals. Collaboratively work with others in various areas of the company to identify appropriate use of AI, within CMMC regulations. Create blueprints for AI applications, select appropriate AI models, data pipelines and infrastructure to develop end to end AI systems.

Reports To: Director, Technology & Continuous Improvement

Personnel: not applicable

Accountabilities: Develop understanding of the business operations to integrate with AI technology solutions. Provide expertise in collaboration with stakeholders to create solutions that improve business processes and efficiencies. Ensure proper data handling, model training infrastructure and deployment.

Authorities: Not applicable.

Duties:

  • Influence AI strategy and help drive AI adoption.
  • Establish secure, scalable, and responsible AI architecture standards, within a CMMC certified environment. Integrate AI systems with existing IT infrastructure and ensure seamless operation. Ensure AI system designs align with enterprise data models, data governance policies, data retention standards, and lineage requirements.
  • Design solutions that integrate various systems and technologies to meet business objectives. Understand business problems and identify opportunities to implement data science solutions. Architect end to end data flows, ensuring high quality data ingestion, transformation, storage, and retrieval across structured, semi structured, and unstructured data sources.
  • Design AI powered and GenAI enabled applications and services to support business processes by collaborating with stakeholders, including Engineering, Operations, support functions, and other IT professionals.
  • Design, develop, and deploy machine learning models and algorithms from proof of concept through production deployment.
  • Develop, verify, and validate analytics to address business needs and opportunities.
  • Apply lean methodologies to identify opportunities for process improvement.

Job Qualification Requirements:

Educational Experience – Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or Engineering. Five years or more experience deploying AI solutions at scale.

Experience –

  • Experience with Generative AI, AI Agents, or Reinforcement Learning
  • Python proficiency and experience with major ML frameworks and AI platforms
  • Experience in a regulated manufacturing, aerospace, or defense environment highly desired.
  • Experience with MES/ERP systems, quality management systems, and manufacturing data preferred.
  • NLP/document AI
  • Strong analytical and problem-solving skills, with knowledge of forecasting and data modeling.
  • Experience with handling unstructured data, including images, videos, and text.
  • A proactive mindset with the drive to turn ideas into measurable outcomes.
  • Experience developing data and machine learning-based solutions and deploying them to production with many users
  • Ability to simplify complex technical concepts and influence technical and business stakeholders.
  • Strong foundational knowledge of enterprise data architecture, including data modeling (conceptual, logical, physical), metadata management, master data management (MDM), and data integration patterns.

Physical Demands – The employee is required to:

  • stand, walk, push, pull, reach overhead, and bend to floor
  • exert 20 to 50 pounds of force occasionally, and/or
  • exert 10 to 25 pounds of force frequently, and/or
  • exert up to 10 pounds of force constantly to move objects.

Certification Required – None required

Visual Acuity – Accommodations as required for reading computer screens and documents.

Hearing Ability – Accommodations as required for communicating with internal and external customers.

Working Conditions – Normally works in an office environment. Occasionally the employee is subject to

  • shop floor environment
  • high noise levels from operating machines
  • physical hazards from moving equipment and production components
  • breathing fumes, dust and mist
  • skin exposure to oils and cutting fluids.
  • welding flashes

About Major Tool

Major Tool & Machine (MTM) was founded in 1946, starting with only four employees to support the commercialization of the jet engine following World War II. Today, MTM is a contract manufacturer in Indianapolis, Indiana with a 600,000+ sq ft. manufacturing facility, 400+ skilled employees, best-in-industry business and quality systems, and project management expertise. Located for easy access on the east side of downtown Indianapolis, we are short commute away from most any place in the counties surrounding Indianapolis. Major Tool is a Precinmac company, a portfolio of businesses across the US and Canada that provide similar machining, fabrication and other manufacturing services to customers who provide critical services in turn in their various industries. Our Precinmac values are Trust, Gratitude, Action, Excellence and Growth, with a commitment to live these out daily in our workplaces.

Benefits

Excellent Benefits including three health insurance plan options - with a base plan option requiring ZERO employee paid premium. Dental and vision plans have very reasonable employee premiums. Participants in our health insurance have the onsite clinic available at no additional charge for medical services. All employees can access the mental health services provided in the clinic, For HDHP health insurance options, we contribute to your health savings account (HSA) and offer other flexible spending account (FSA) options. We support your retirement goals with a 401k company match. In addition to work schedule options we provide immediate Paid Time Off (PTO) availability and 10 paid Holidays, Along with in house training programs, we offer educational assistance for coursework that will support your career growth at Major Tool, We care about the health of our employees and provide a tobacco free facility, onsite fitness center and wellness events, short and long term disability and life insurance coverage fully paid.

We are proud to be an Equal Opportunity Employer.


M - F or 9/80 schedule is optional.