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Machine Learning Engineer Jobs in West Lafayette, IN

CF Industries

I&E Maintenance Technician

Frankfort, IN · On-site

$75K - $99K/yr

Engineering and Engineering Services Job Summary: The I&E Maintenance Technician provides technical ... machine learning technologies, to assist recruiters in identifying and prioritizing candidates ...

Varsity Tutors

Statics Tutor

West Lafayette, IN · Remote

$18 - $40/hr

... machine design, and construction engineering. * Curriculum Awareness & Adaptive Instruction ... Ability to adapt to different learning styles and student needs. Ways To Connect With Students * 1 ...

Flex-N-Gate

Manufacturing Controls Technician

Veedersburg, IN · On-site

$28.75 - $37.75/hr

A Controls Technician keeps things running smoothly as they check on and maintain machinery ... Available for support calls 24/7 * Install, diagnose and fix programmable logic controllers and ...

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Showing results 21-40

All JobsMachine Learning Engineer JobsMachine Learning Engineer Jobs in West Lafayette, IN

Machine Learning Engineer information

See West Lafayette, IN salary details

$30.3K

$123.9K

$186.2K

How much do machine learning engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for machine learning engineer in West Lafayette, IN is $123,896.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,700.00 and $149,100.00 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 West Lafayette, IN?

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

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

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

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

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

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

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

Machine Learning Engineer jobs near you
Infographic showing various Machine Learning Engineer job openings in West Lafayette, IN as of August 2026, with employment types broken down into 1% As Needed, 70% Full Time, 28% Part Time, and 1% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $123,896 per year, or $59.6 per hour.

Cybersecurity Instructor (Ethical Hacking, SOC, Web Pentesting, AI Security)

Educate 360 LLC

West Lafayette, IN • On-site

$43K - $57K/yr

Part-time

Re-posted 14 days ago

Job description

Description:

Classification: Contract

Location: Remote (Live Online or In-Person Training)

Contract Type: Part-time / Per-Course


About Educate 360

Educate 360 is a family of specialized brands with a joint mission: to help individuals and organizations gain the skills needed to thrive in today’s technology-led and innovative-driven economy. Educate 360 develops integrated solutions across brands to achieve enterprise customers’ learning & development goals in Management & Leadership, Data Science, and IT skills. With locations across the U.S. and Europe, we have brought our instructor-led and on-demand training, coaching, and consulting to numerous individuals and organizations.


Role Summary

We are seeking experienced several contract instructors to deliver live, online training for TCM Security courses. These classes emphasize applied learning through labs, real scenarios, and interactive instruction, helping students build confidence and job ready capabilities in ethical hacking, penetration testing, security operations, and emerging areas like AI security. TCM Security

We are looking for experienced contract instructors to teach one or more of the following cybersecurity live training courses:

  • Ethical Hacker Bootcamp
  • Web Penetration Testing
  • Security Operations Center (SOC) Level 1
  • Security Operations Center (SOC) Level 2
  • AI Hacking 101

Instructors may specialize in one area or multiple topics. Instructors do not need to be able to teach all courses and can contract to teach just one of the courses provided below. Each course is instructor-led, interactive, and designed to give students practical skills they can use immediately in cybersecurity roles. TCM Certification


What You’ll Teach

Ethical Hacker Bootcamp A multi-day bootcamp covering:

  • Open Source Intelligence (OSINT) and reconnaissance.
  • Active Directory exploitation and defense.
  • Web application hacking basics.
  • Hands-on practical penetration testing skills and professional reporting. TCM Certification

Web Penetration Testing

Four days of live training that takes students from beginner to confident web application pentester, including vulnerability discovery and exploitation, with real-world labs and guided exercises. TCM Certification


SOC Level 1

Foundational security operations training focused on defensive monitoring, detection, incident analysis, and response. Prepares students for Tier 1 roles and certification exams. TCM Certification


SOC Level 2

More advanced defensive security skills, including threat hunting, complex incident investigation, SIEM analysis, and defensive tool workflows. TCM Certification


AI Hacking 101

An emerging topic that focuses on vulnerabilities in AI and large language models used in applications, and how attackers can exploit these weaknesses. TCM Certification


Main Responsibilities

  • Deliver engaging, interactive live training sessions
  • Build and lead hands-on labs and exercises
  • Provide clear explanations of complex security concepts
  • Support students’ learning with feedback and Q&A
  • Align lessons to certification goals and industry expectations
  • Participate in pre-class planning and post-session debrief
  • Collaborate with curriculum developers on updates

Must be US-based

Requirements:
  • Minimum 3+ years of professional experience in cybersecurity
  • Proven expertise in at least one of the following areas:

o Ethical hacking and penetration testing

o Web application security

o Security operations and SOC analysis

o Defensive security monitoring and incident response

o AI security or adversarial machine learning

  • Practical experience with common tools (OSINT toolkits, SIEM platforms, vulnerability scanners, exploitation frameworks)
  • Experience teaching or mentoring in professional or academic settings
  • Strong communication skills and ability to explain technical concepts clearly
  • Hands-on lab experience, including guiding students through real scenarios
  • Relevant industry certifications are a plus (e.g., OSCP, PNPT, PJPT, PSAA, GIAC)

Preferred Qualifications

  • Previous experience teaching live cybersecurity bootcamps or workshops
  • Experience preparing students for certifications

Compensation/Schedule

  • Competitive hourly or per-session pay
  • Flexible schedule with remote teaching assignments
  • Opportunity for ongoing work with future cohorts


Why Educate 360?

We believe that great ideas emerge when people collaborate in an environment where thoughts and perspectives can be freely shared. Effective teamwork happens when every member feels empowered, valued, and respected. We are committed to fostering a culture where everyone is accepted, included, and encouraged to contribute in meaningful ways.


Equal Opportunity Employer: Educate 360 is committed to providing equal employment opportunity for all persons regardless of race, color, religion, sex, age, marital status, national origin, citizenship status, disability, or veteran status.