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Ml Platform Engineer Jobs in Indiana (NOW HIRING)

Controls Engineer

Indianapolis, IN · On-site

$79K - $103K/yr

Work with data analytics platforms and technologies such as Power BI, AI, and ML. Troubleshooting ... Programming experience with C++ or Python Required Qualifications * Hands-on experience with ...

AI Prompt and Skills Engineer

Indianapolis, IN · On-site

$68K - $88K/yr

Relevant certifications in AI/ML platforms (e.g., Anthropic, Microsoft AI, AWS ML) are a plus. * Hands-on proficiency in prompt engineering, including the ability to write, test, iterate and optimize ...

Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

We are K1x. Our platform powers the first fully digital K-1, transforming how alternative ... downstream ML models, reporting, and embedded analytics. WhatYou'llDo - Design, build ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

Cloud Data Engineer

Indianapolis, IN

$109K - $131K/yr

As a Cloud Data Engineer , you will build the modern Azure data platform that powers analytics, AI/ML, and enterprise integration for the missions our clients care about most. Your work makes it ...

ETL/Data Engineer

Indianapolis, IN · On-site

$107K - $129K/yr

... AI/ML use cases. You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure ...

Data Engineer

Austin, IN

$135K - $155K/yr

... analytics, ML training and inference, and retrieval-augmented generation (RAG) systems ... Responsible for the design, deployment, and maintenance of the business's data and AI platforms

Sr. Data Engineer

Indianapolis, IN · On-site

$109K - $131K/yr

... similar platforms • Exposure to AI/ML workflows, including feature engineering and model data preparation • Familiarity with POS and retail data ecosystems (e.g., Home Depot, Lowe's, Walmart ...

Showing results 21-40

Ml Platform Engineer information

See Indiana salary details

$31

$60

$90

How much do ml platform engineer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for ml platform engineer in Indiana is $60.86, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $70.24 per hour, depending on experience, location, and employer.

What is an ML Platform Engineer?

ML Platform Engineers are specialized software engineers who design, build, and maintain the infrastructure and tools needed to support the development, deployment, and scaling of machine learning models. They bridge the gap between data science and production engineering by automating model training, monitoring, versioning, and serving. Their work enables data scientists to focus on modeling while ensuring that ML solutions are reliable, reproducible, and scalable in real-world environments.

What skills and qualifications are needed to thrive as an ML Platform Engineer?

To thrive as an ML Platform Engineer, you need a strong background in computer science, software engineering, and machine learning concepts, often supported by a degree in a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), containerization (Docker, Kubernetes), CI/CD pipelines, and knowledge of ML frameworks (TensorFlow, PyTorch) are commonly required. Collaboration, problem-solving, and strong communication skills help you work efficiently with data scientists, engineers, and stakeholders. These skills ensure the development, scalability, and reliability of robust ML infrastructure that empowers teams to deploy and manage models effectively.

How does an ML Platform Engineer typically collaborate with data scientists and software engineers within a company?

ML Platform Engineers work closely with both data scientists and software engineers to streamline the process of developing, deploying, and maintaining machine learning models. They provide the infrastructure and tools necessary for data scientists to build and experiment with models efficiently, while ensuring seamless integration with production systems managed by software engineers. Regular communication, participation in cross-functional meetings, and shared project management tools are common ways teams collaborate. This close collaboration helps to bridge the gap between research and production, ensuring robust, scalable, and reliable ML solutions.

What is the difference between Ml Platform Engineer vs Data Scientist?

AspectML Platform EngineerData Scientist
Required credentialsBachelor's/Master's in CS, Engineering, or related; experience with cloud platformsBachelor's/Master's in Statistics, Math, or CS; strong programming skills
Work environmentBuilds and maintains ML infrastructure, collaborates with engineering teamsAnalyzes data, develops models, and interprets results
Industry usageTech companies, AI startups, enterprises deploying ML systemsResearch institutions, tech firms, data-driven organizations

ML Platform Engineers focus on developing and maintaining the infrastructure that supports machine learning models, while Data Scientists primarily analyze data and build models. Both roles often collaborate but serve different functions within the AI and data ecosystem.

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

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

What cities in Indiana are hiring for Ml Platform Engineer jobs?

Cities in Indiana with the most Ml Platform Engineer job openings:

Infographic showing various Ml Platform Engineer job openings in Indiana as of August 2026, with employment types broken down into 56% Full Time, 41% Part Time, and 3% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $126,583 per year, or $60.9 per hour.

Controls Engineer

Optime Tech

Indianapolis, IN • On-site

$79K - $103K/yr

Other

Posted 9 days ago


Job description

Controls Engineer

Location: Indianapolis, IN
Duration: 12 Months Contract 
Travel: 30%–40% Required

Job Overview

We are seeking a Controls Engineer with strong hands-on experience in industrial automation, PLC programming, control systems, and IIoT integration. The ideal candidate will have experience working with multiple PLC platforms, industrial communication protocols, and Industry 4.0 technologies.

Key Responsibilities

Industrial Automation & Control Systems
  • Identify machine controllers such as Allen-Bradley, Rockwell, Beckhoff, and Rexroth and determine appropriate protocols and compatible OT hardware for IIoT applications.
  • Understand controls architecture and ISA-95 architecture.
  • Document AS-IS and TO-BE processes for controls implementation.
  • Create technical documentation, including system designs, integration plans, and user manuals for IIoT systems.
  • Program and configure multiple control systems, including Siemens PLCs using TIA Portal, Allen-Bradley PLCs, Mazak CNC controllers, and Fanuc controllers.
  • Integrate machine controllers with IIoT systems across different levels of the automation stack.
  • Support IIoT projects from planning through implementation, ensuring milestones and timelines are met.
  • Integrate tightening tool controllers such as Atlas Copco, DC Tools, and Desoutter with IIoT platforms.
  • Support integration of robots, cobots, IMRs, and AGVs with IIoT platforms.
IIoT Communication Protocols & Standards
  • Work with industrial communication standards and protocols including:
    • OPC UA/DA
    • MQTT
    • REST API
    • Ethernet/IP
    • Profinet
    • Profibus
    • DeviceNet
    • Modbus TCP/IP
  • Configure and troubleshoot OPC Servers such as Kepware for data exchange between machines and IIoT platforms.
Networking & IT
  • Apply knowledge of industrial networking protocols including Ethernet/IP and fieldbus.
  • Configure and troubleshoot IP addressing, routing, VLANs, and network security practices for IIoT systems.
IIoT / Industry 4.0
  • Apply Industry 4.0 and IIoT technologies within industrial automation environments.
  • Support IIoT solutions and digital transformation programs.
  • Demonstrate knowledge of multiple levels of the automation stack.
  • Work with data analytics platforms and technologies such as Power BI, AI, and ML.
Troubleshooting & Problem Solving
  • Troubleshoot complex communication issues between machines, PLCs, and IIoT systems.
  • Perform root cause analysis for network and connectivity failures.
  • Collaborate with cross-functional teams to troubleshoot IIoT deployment issues
Top Skills
  • Ignition – 1+ year of experience
  • Experience with multiple PLC platforms
  • Programming experience with C++ or Python
Required Qualifications
  • Hands-on experience with Ignition for 1+ year.
  • Hands-on experience with multiple PLC platforms.
  • Programming experience with C++ or Python.
  • Experience in industrial automation and controls systems.
  • Strong hands-on PLC programming experience.
  • Strong troubleshooting and problem-solving skills.
  • Ability and willingness to travel approximately 30%–40%.
  • Ability and willingness to work 7:00 AM–5:00 PM, with overtime as needed.
Preferred Qualifications
  • 2–5 years of relevant Controls Engineering or Industrial Automation experience.
  • Experience with Siemens PLCs and TIA Portal.
  • Experience with Allen-Bradley / Rockwell PLCs.
  • Experience with Mazak CNC and Fanuc controllers.
  • Experience with OPC UA/DA, MQTT, REST API, Ethernet/IP, Profinet, Profibus, DeviceNet, or Modbus TCP/IP.
  • Experience configuring or troubleshooting Kepware OPC Server.
  • Experience with ISA-95 and controls architecture.
  • Experience integrating robots, cobots, IMRs, and AGVs with IIoT platforms.
  • Experience integrating tightening tool controllers such as Atlas Copco, DC Tools, or Desoutter.
  • Experience with Industry 4.0, IIoT, data analytics, Power BI, AI, or ML technologies.
  • Experience with industrial networking, IP configuration, routing, VLANs, and network security.
Schedule

7:00 AM–5:00 PM, with overtime required as needed.

Candidates must be comfortable working overtime when required.

Interview Process: 

Candidates selected to move forward will participate in a 45-minute Zoom interview