Transforming Research into Scalable Solutions

3 days ago

Aligarh, Uttar Pradesh, India beBeeArtificial Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
About ARC-Net

At ARC-Net, we thrive on driving industry-oriented AI research into scalable solutions.

We unite top-tier talent and IISc's research prowess with industry partners to tackle projects that matter. Successful collaborations include space technology and AI-based interview assessment, while ongoing research spans Climate Tech and MedTech.

Our Model

Our model empowers individuals working with us to contribute to short and long-term research-oriented industry projects, delivering innovative solutions while building for scale and managing innovation under real constraints.

With a portfolio of successful projects already completed, we are expanding our impact and growing our presence.

About the Role

As a Senior AI Engineer at ARC-Net, you will take ownership of translating research into scalable AI systems. You will design architectures, guide technical decisions, and deliver projects with measurable outcomes.

Alongside building solutions, you'll mentor younger engineers and work closely with IISc researchers and industry collaborators to expand our impact.

Key Responsibilities
  1. Architect and operationalize technical roadmaps for AI projects.
  2. Lead design and development of scalable, industry-relevant AI solutions.
  3. Collaborate with faculty, researchers, and industry partners to define goals, milestones, and deliverables.
  4. Manage project teams by providing technical roadmaps and mentorship to young engineers and researchers who are part of our team.
  5. Contribute to our mission of translating research into solutions with measurable outcomes.
Requirements
  1. BTech/MTech in Computer Science.
  2. Proven 3 years of experience working with R&D focused cross-disciplinary projects.
  3. Proficiency in system architecture, model design, and scalable implementation.
  4. Excellent communication and ability to work in fast-paced, collaborative environments.
Benefits
  1. Experience in translating research into shipped solutions (e.g., prototypes, products, or platforms).
  2. Background in industry–academia collaborations, technology transfer, or original research initiatives.
  3. Familiarity with innovation ecosystems, or applied research labs.
  4. Active connections or participation in the AI, SaaS, or broader tech community.

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