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Machine Learning Engineer Jobs in West Lafayette, IN

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 ...

Infosys Limited Digital

CNC Consultant

Lafayette, IN · On-site

... machining platforms. understanding of engineering drawings, tolerancing standards, and GD&T ... Our always-on learning agenda drives their continuous improvement through building and transferring ...

Saab Automobile AB

Lead Stress Engineer

West Lafayette, IN · On-site

$115K - $150K/yr

The Lead Stress/MRB Engineer will work in both an MRB/Liaison and stress engineering capacity. In the MRB role, you will serve as the point of communication between engineering, manufacturing, 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 Aug 8, 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 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 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 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 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 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 78% Full Time, and 22% Contract. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $123,896 per year, or $59.6 per hour.

Construction Project Coordinator

SK hynix America

West Lafayette, IN • On-site

Full-time

Medical, Retirement, PTO

Re-posted 22 days ago

Job description

Job Title: Construction Project CoordinatorOffice Location: West Lafayette, INWork Model: Onsite
About SK hynix America
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advanced mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change - we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.
Job Overview:
We are eager to welcome a motivated and detail-oriented Construction Project Coordinator to join our construction team. In this entry-level position, you will support various facets of construction projects, working diligently to help ensure that they are completed safely, on time, and within budget. If you possess a strong eagerness to learn, exceptional organizational skills, and a passion for contributing to successful construction initiatives.
Responsibilities:
  • Support the planning and execution of construction projects under the guidance of senior.
  • Monitor project schedules and ensure milestones and deadlines are achieved.
  • Coordinate with contractors, suppliers, and various construction team members.
  • Conduct site visits to verify progress and adherence to safety standards and guidelines.
  • Maintain precise documentation and records of project activities.
  • Assist in preparing project budgets and cost estimates.
  • Organize and participate in project meetings, documenting outcomes and next steps.
  • Support the resolution of project-related issues or potential delays.
  • Ensure compliance with local laws, building codes, and industry regulations.
  • Contribute to continuous improvement initiatives within the construction team

Qualifications:
  • Bachelor's degree in Construction Management, Electronic Engineering, or related field.
  • Basic understanding of construction processes and methodologies.
  • Strong organizational and time-management skills.
  • Excellent communication and interpersonal abilities.
  • Proficiency in Microsoft Office and construction management software.
  • Capable of managing multiple concurrent tasks under pressure.
  • Detail-oriented with an aptitude for problem solving.
  • A willingness to learn and take on new challenges.
  • Understanding of safety and quality assurance standards

Preferred Qualifications:
  • Bilingual proficiency in Korean and English is highly desirable.
  • Previous internship or co-op experience in construction management.
  • Familiarity with project management tools and software applications.
  • Knowledge of AutoCAD or other design software.
  • Certification in construction safety training (e.g., OSHA).
  • Experience in preparing budgets and cost estimates.
  • Understanding of environmental sustainability practices within construction.
  • Ability to interpret technical drawings and specifications accurately.
  • Strong analytical and quantitative proficiency.
  • Experience in international projects or multilingual abilities

Requirement:
  • Authorized to work in the US

Benefits:
  • Top Tier health insurance at no employee cost
  • Paid day offs: PTO + Company Holidays + Happy Fridays
  • Paid Parental Leave Program
  • 401k Matching
  • Educational reimbursement
  • Donation Matching and volunteering opportunities
  • Corporate discount programs

Equal Employment Opportunity:
SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws.
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About SK Hynix America

Sourced by ZipRecruiter

Industry

Semiconductor and electronic component manufacturing

Company size

201 - 500 Employees

Headquarters location

San Jose, CA, US

Year founded

1983

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