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Machine Learning Engineer Jobs in Carmel, IN (NOW HIRING)

Keystone

ML Engineer

Indianapolis, IN · On-site

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 ...

Pwc

US Tech - AI Engineering Manager

Indianapolis, IN · On-site

$73K - $244K/yr

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 ...

Info Way Solutions

Gen AI Engineer

Indianapolis, IN · On-site

Required : • Bachelor's or Master's in Computer Science, Machine Learning, or related field. • ... engineering, fine-tuning, and evaluation techniques. • Knowledge of deployment tools (e.g., ONNX ...

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site +1

$94K - $119K/yr

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

MDMi

Python Developer Engineer

Indianapolis, IN · On-site

$110 - $140/hr

Partner with data scientists and software developers to enable the integration of machine learning models into data pipelines, supporting advanced analytics, reporting, and automated decision-making.

Elevance Health

Research Scientist Senior

Indianapolis, IN · On-site

$94K - $120K/yr

Successfully delivers scalable machine learning solutions from concept through deployment and measurable operational impact. * Partners effectively across business, research, engineering, analytics ...

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All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in Carmel, IN

Machine Learning Engineer information

See Carmel, IN salary details

$31.5K

$128.6K

$193.2K

How much do machine learning engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for machine learning engineer in Carmel, IN is $128,569.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,300.00 and $154,800.00 per year, depending on experience, location, and employer.

What is a machine learning engineer?

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 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 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.

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.

More about Machine Learning Engineer jobs

What are the most commonly searched types of Machine Learning Engineer jobs in Carmel, IN?

The most popular types of Machine Learning Engineer jobs in Carmel, IN are:

What are popular job titles related to Machine Learning Engineer jobs in Carmel, IN?

For Machine Learning Engineer jobs in Carmel, IN, the most frequently searched job titles are:

What job categories do people searching Machine Learning Engineer jobs in Carmel, IN look for?

The top searched job categories for Machine Learning Engineer jobs in Carmel, IN are:

What cities near Carmel, IN are hiring for Machine Learning Engineer jobs?

Cities near Carmel, IN with the most Machine Learning Engineer job openings:

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in Carmel, IN as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 24% Part Time, and 2% Contract. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $128,569 per year, or $61.8 per hour.

ML Engineer

Keystone

Indianapolis, IN • On-site

Full-time

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

Job description

Job Description

Overview: Our company is seeking a detail-oriented and highly analytical ML Engineer who will assist in driving our AI-driven product development initiatives. The successful candidate will possess a strong understanding of data analysis, along with the ability to apply AI and ML methodologies to enhance our products.

Must be authorized to work in the United States now and in the future, without company sponsorship. Must be able to work onsite in the corporate office in Indianapolis, Indiana. (This role is not hybrid or remote).

Duties and Responsibilities:

Include but are not limited to:

  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions tailored to those needs.
  • Utilize Snowflake Cortex and other AI/ML development tools to design, implement, and optimize data models and algorithms.
  • Conduct exploratory data analysis to uncover trends, patterns, and insights that can inform business decisions.
  • Analyze complex datasets to extract actionable insights that inform product development strategies.
  • Conduct complex statistical analyses, including regression modeling, hypothesis testing, and predictive analytics, to forecast trends and inform strategic decisions.
  • Assist in developing machine learning models and algorithms to solve complex business problems and improve operational efficiency.
  • Create and maintain detailed documentation of data analysis processes and AI/ML model development.
  • Monitor and evaluate the effectiveness of AI/ML models in production and refine them as needed.
  • Provide training and support to team members and stakeholders on data analysis tools and techniques.

Skills and Qualifications:

  • Proven experience as a Data Analyst or Data Engineer, preferably with experience incorporating AI/ML methodologies.
  • Strong expertise in data analysis tools and languages (e.g., Python, R, SQL).
  • Experience with machine learning frameworks and tools (e.g., TensorFlow, PyTorch).
  • Excellent problem-solving skills and attention to detail.
  • Ability to communicate complex findings in a clear and concise manner.
  • Strong teamwork and collaboration skills.

Education and Experience:

  • Bachelor's degree in Data Science, Statistics, Computer Science, or related field. Master's degree preferred.

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