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Manager Ai Researcher Jobs in Indiana (NOW HIRING)

Principal AI Systems Engineer

Auburn, IN · On-site +1

$170K - $190K/yr

An AI research role * A pure ML modeling role * A prompt engineering role * A people management role * A speculative innovation lab What You Will Build The Operating Layer Our internal AI operating ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Research double major We are proud to offer our employees, their domestic partners, and their ...

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments ... Research double major We are proud to offer our employees, their domestic partners, and their ...

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Manager Ai Researcher information

How does a Manager AI Researcher typically balance hands-on research with team leadership responsibilities?

As a Manager AI Researcher, you'll often need to strike a balance between contributing directly to research projects and overseeing the team's progress. While you may still participate in designing experiments or reviewing technical work, much of your time will be devoted to mentoring junior researchers, setting project priorities, and collaborating with cross-functional teams such as product or engineering. Strong communication and organizational skills are essential, as you'll be responsible for aligning research goals with business objectives while fostering a collaborative, innovative environment.

What are the key skills and qualifications needed to thrive as a Manager AI Researcher, and why are they important?

To thrive as a Manager AI Researcher, you need deep expertise in machine learning, data science, and computer science, typically supported by an advanced degree (PhD or Master's) and experience leading research projects. Familiarity with AI frameworks (such as TensorFlow or PyTorch), programming languages (like Python), and project management tools is essential, along with staying current on the latest research trends. Strong leadership, communication, and collaboration skills are crucial for guiding teams, fostering innovation, and translating research into practical applications. These skills and qualities enable effective team management, drive cutting-edge research, and ensure successful integration of AI solutions into organizational goals.

What does a Manager AI Researcher do?

A Manager AI Researcher leads a team of artificial intelligence researchers in designing, developing, and implementing innovative AI models and solutions. They oversee research projects, set strategic goals, and collaborate with cross-functional teams to translate research findings into practical applications. In addition to their technical expertise, they are responsible for mentoring researchers, managing project timelines and budgets, and ensuring the team stays up to date with the latest advancements in AI.

What is the difference between Manager Ai Researcher vs Data Scientist?

AspectManager Ai ResearcherData Scientist
Required CredentialsMaster's or PhD in AI, Computer Science, or related fieldsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentLeads AI research teams, collaborates with engineers and product teamsAnalyzes data, builds models, supports decision-making
Industry UsageUsed in AI-focused companies, research labs, tech firmsWidely used across industries like finance, healthcare, tech

While both roles require strong technical skills and a background in data or AI, the Manager Ai Researcher focuses on leading AI research initiatives and managing teams, whereas the Data Scientist primarily analyzes data and develops models to inform business decisions.

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Senior Cloud Networking Engineer

Purdue University Institute of CHIPS and AI

West Lafayette, IN • On-site

$50 - $66.75/hr

Full-time

Re-posted 11 days ago


Job description

Job Summary:
Purdue University Institute of CHIPS and AI is seeking a Senior Cloud Network Engineer to help shape the future of their cloud ecosystem. This role involves contributing to the design and evolution of a multi-cloud networking strategy while collaborating with IT and campus leaders to implement secure and scalable solutions that support teaching, learning, and research.
Responsibilities:
• Contribute to the design and evolution of Purdue’s multi‑cloud networking strategy across AWS, Azure, and GCP
• Collaborate with IT and campus leadership to translate strategic goals into practical, reliable cloud network solutions
• Design and improve virtual network architecture to support seamless workload mobility across environments
• Evaluate, implement, and maintain tools for monitoring cloud performance, usage, cost, and system health
• Support secure, resilient, and efficient cloud operations aligned with institutional priorities
Qualifications:
Required:
• Bachelor’s degree in networking, engineering, cloud technologies, AI (Artificial Intelligence) or related field
• Four (4) years of experience in cloud services including architecture design, supporting, and deploying solutions for cloud engineering, including AWS, GCP, Azure, or other cloud technologies, including cloud networking and hybrid connectivity, design of secure virtual networks, high‑throughput research data paths, and connectivity between on‑premises systems, cloud platforms, and AI research hubs
• Experience designing and supporting cloud networking in one or more major platforms (AWS, Azure, GCP)
• Strength in hybrid connectivity and integrating cloud with on‑prem infrastructure
• Ability to balance long-term strategy with practical implementation
• Curiosity and adaptability in a rapidly changing technical landscape
• Ability to travel to remote campuses (5%) and work closely with network engineering staff with on-prem network integrations if needed
• Help define and operationalize institutional cloud and AI strategy, translating executive‑level vision into scalable technical architectures and services
• Strong stakeholder engagement skills, working with faculty, researchers, IT leadership, and external partners (such as Google Public Sector) to implement shared goals
• Excellent verbal and written communication skills
Preferred:
• Multi‑cloud engineering experience, with the ability to integrate and interoperate GCP services alongside existing AWS and Azure environments to support diverse academic and administrative workloads
• Experience supporting AI research platforms and tools, including managed AI services, model experimentation environments, and emerging multi‑agent systems (such as trusted‑tester or early‑access AI tools)
Company:
The Institute of CHIPS and AI, a pioneering initiative from Purdue College of Engineering, is poised to redefine the future of semiconductor and AI research. Founded in , the company is headquartered in , , with a team of 10001+ employees. The company is currently Late Stage.