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Adaptive Ml Jobs in Indiana (NOW HIRING)

Varsity Tutors

Machine Learning Tutor

Fort Wayne, IN · Remote

$18 - $40/hr

Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Indianapolis, IN · Remote

$18 - $40/hr

Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Valparaiso, IN · Remote

$18 - $40/hr

Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

Bloomington, IN · Remote

$18 - $40/hr

Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

Varsity Tutors

Machine Learning Tutor

West Lafayette, IN · Remote

$18 - $40/hr

Curriculum Awareness & Adaptive Instruction: Familiar with machine learning curricula and common ... based ML through advanced deep learning and deployment. * Effective Teaching Methods: Ability to ...

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Adaptive Ml information

What are the key skills and qualifications needed to thrive as an adaptive ML engineer?

To thrive as an Adaptive Machine Learning Engineer, you need strong foundations in machine learning algorithms, data analysis, and programming (often with a degree in computer science or a related field). Familiarity with ML frameworks (such as TensorFlow or PyTorch), version control systems, and cloud platforms is typically required, along with knowledge of adaptive and online learning techniques. Strong problem-solving abilities, creativity, and effective communication skills help you design, iterate, and implement adaptive models that respond to evolving data. These skills ensure that ML solutions can dynamically adjust to new information, maximizing their long-term effectiveness and impact.

What is an adaptive ML engineer?

An Adaptive ML Engineer is a professional who designs, develops, and maintains machine learning systems that can adjust and improve their performance dynamically in response to new data or changing environments. These engineers focus on creating algorithms and models that evolve over time, often using techniques like online learning, reinforcement learning, or continual learning. Their work is crucial in applications where static models are insufficient, such as real-time recommendations, autonomous vehicles, and personalized user experiences. Adaptive ML Engineers also ensure that their systems remain robust, accurate, and relevant as data patterns shift.

What are common challenges faced by professionals working in adaptive ML roles, and how can they overcome them?

Professionals in Adaptive Machine Learning often encounter challenges such as handling non-stationary data streams, ensuring model stability during continuous updates, and addressing concept drift where data patterns change over time. To overcome these, it's important to implement rigorous monitoring systems, use robust validation techniques, and collaborate closely with data engineering teams to ensure data quality. Staying up to date with the latest research and leveraging online learning frameworks can also help adapt models efficiently and maintain high performance.

What is adaptive machine learning?

Adaptive machine learning is a subset of machine learning where models automatically adjust their parameters or structure in response to new data or changing environments. This approach enables systems to improve performance over time without manual reprogramming, often involving techniques like online learning and continual learning. It is used in applications requiring real-time updates and dynamic decision-making.

What is the difference between Adaptive Ml vs Data Scientist?

AspectAdaptive MlData Scientist
Required CredentialsTypically a degree in Computer Science, Data Science, or related fields; knowledge of machine learning frameworksUsually a degree in Data Science, Statistics, Computer Science, or related fields; strong programming and statistical skills
Work EnvironmentTech companies, AI startups, research labs focusing on machine learning applicationsVaried environments including tech firms, finance, healthcare, and consulting firms analyzing data for insights
Employer & Industry UsageUsed in industries developing adaptive machine learning models and AI solutionsUsed across industries for data analysis, predictive modeling, and decision support

Adaptive ML specialists focus on developing and implementing machine learning models that adapt over time, often working on AI systems. Data Scientists analyze data, build models, and generate insights. While both roles require strong technical skills, Adaptive ML roles are more specialized in creating adaptive algorithms, whereas Data Scientists focus on broader data analysis and modeling tasks.

What are popular job titles related to Adaptive Ml jobs in Indiana? For Adaptive Ml jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Adaptive Ml jobs in Indiana look for? The top searched job categories for Adaptive Ml jobs in Indiana are:
What cities in Indiana are hiring for Adaptive Ml jobs? Cities in Indiana with the most Adaptive Ml job openings:
Adaptive Ml jobs near you

Postdoctoral Research Associate - AI-Driven Software & Systems Research

Purdue University

Indianapolis, IN • On-site

$50K - $60K/yr

Full-time

Re-posted 12 days ago

Purdue University rating

7.5

Company rating: 7.5 out of 10

Based on 136 frontline employees who took The Breakroom Quiz

310th of 617 rated colleges and universities

Job description

Postdoctoral Research Associate - AI-Driven Software & Systems Research
City: Indianapolis
Job Description:
Overview
Postdoctoral Research Associate Positions
AI-Driven Software & Systems Research
The newly established Intelligent Software & Systems Center (ISC) in the College of Engineering at Purdue University invites applications for a Postdoctoral Research Associate position in the broad area of AI-driven software and systems research. These are highly collaborative positions offering the opportunity to help shape a new interdisciplinary research center at one of the nation's leading engineering institutions.
The appointments are expected to begin in Fall 2026 and are initially for 2 years, with possible extension depending on performance and funding availability.
VISION
Position Purdue as a national leader in AI-driven software and systems research spanning edge computing, cloud and distributed systems, high-performance computing (HPC), autonomous software infrastructures, and AI-enabled engineering systems.
RESEARCH AREAS
Area 1 - AI for Programming Systems
Research topics include AI-assisted compilation and optimization, intelligent runtime systems, code generation and transformation, HPC, parallel and distributed computing, compiler infrastructures, heterogeneous systems, and autonomous system optimization.
Desired expertise includes compilers, runtime systems, programming languages, HPC, systems for AI/ML, performance optimization, and distributed systems.
Area 2 - AI for Software Engineering
Research topics include AI-assisted software development, intelligent software architecture and design, automated testing and verification, code generation and repair, DevOps and deployment
automation, software maintenance and evolution, software reliability and security, and self-adaptive software systems.
Desired expertise includes software engineering, AI for SE, software architecture, testing and QA, DevOps, software security, software analytics, program analysis, and automated software engineering.
About ISC
ISC is a newly founded research center within the College of Engineering at Purdue University. The center aims to pioneer the next generation of intelligent software systems that are adaptive, efficient, trustworthy, and capable of continuous self-improvement.
ISC will serve as a cross-disciplinary hub connecting researchers in Electrical and Computer Engineering, Computer Science, Industrial Engineering, Artificial Intelligence, High-Performance Computing, and related areas to accelerate innovation in intelligent software technologies.
Responsibilities
• Conduct cutting-edge research aligned with ISC's strategic directions
• Publish in top-tier conferences and journals
• Collaborate with faculty, students, and industry partners
• Contribute to interdisciplinary research initiatives
• Help coordinate research activities and community-building efforts within ISC
• Assist with proposal development and collaborative projects
• Mentor graduate and undergraduate students
Compensation and Benefits
• Competitive salary: $50,000-$60,000/year plus benefits
• Full Purdue employee benefits package
• Professional travel support for conferences and collaborations
• Access to Purdue's advanced computing and research infrastructure
• Opportunities for collaboration across Purdue's West Lafayette and Indianapolis campuses
Location
The position spans Purdue's two rapidly growing Indiana campuses:
West Lafayette, Indiana - Home to Purdue's flagship campus and internationally recognized engineering and computing programs.
Indianapolis, Indiana - A vibrant urban innovation hub with strong connections to industry, healthcare, advanced manufacturing, and technology ecosystems.
Postdoctoral researchers will have workspace access at both locations and may choose one campus as their primary workplace while collaborating regularly with researchers at the other campus.
Qualifications
Applicants should have:
• A Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a closely related field by the start date
• Strong publication record or demonstrated research potential
• Excellent communication and collaboration skills
• Ability to work in interdisciplinary environments
Application Materials
Interested applicants should submit:
1. Curriculum Vitae (CV)
2. Research statement
3. Representative publications
4. Contact information for 2-3 references
Applications will be reviewed on a rolling basis until the positions are filled.
For inquiries, please contact: Xipeng Shen (shen810@purdue.edu)

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