IAI Solution Pvt Ltd operates at the edge of applied AI where foundational research meets real-world deployment. We craft intelligent systems that think in teams, adapt with context, and deliver actionable insight across domains.

We’re currently seeking passionate and skilled AI/ML Interns who are eager to contribute to real-world AI development, have hands-on experience with model fine-tuning, and are adept in prompt engineering. If you're ready to work on impactful projects and expand your expertise in AI, we’d love to hear from you.

Position Summary: We’re an AI/ML research-driven team focused on building intelligent AI Agents and RAG-based systems for real-world applications in finance, business, and personal assistance.

Our work combines applied research and fast-paced product development to create powerful, modular AI systems that think, reason, and act.

About the Role

As an AI/ML Intern, you’ll work closely with our core AI/ML team on projects involving LLMs, retrieval systems, and agentic reasoning.

You’ll contribute to experiments, data preparation, model evaluation, and prototype development, gaining exposure to both research concepts and production-level AI systems.

Key Responsibilities

Assist in building and evaluating LLM- and agent-based pipelines (RAG, reasoning, tool use, etc.).
Conduct small-scale experiments and contribute to prompt design and prompt evaluation.
Help integrate LLMs with APIs, databases, and internal tools.
Explore and document recent AI agent frameworks and LLM techniques.
Collaborate with backend engineers to test and deploy prototypes.

Requirements

Strong foundations in Machine Learning and Deep Learning concepts.
Good understanding of LLM fundamentals - tokenization, embeddings, attention, context, etc.
Some exposure to Prompt Engineering and reasoning patterns like Chain of Thought or ReAct.
Experience in Python and libraries like PyTorch, NumPy, Pandas.
Familiarity with Git/GitHub for version control.
Curiosity and ability to learn quickly in a research-focused environment.

Preferred Qualifications

Experience with Hugging Face Transformers/Datasets.
Exposure to RAG systems and vector databases (Qdrant, Pinecone, Weaviate, Chroma).
Awareness of LangChain, LangGraph, or other LLM/Agent frameworks.
Knowledge of Docker, Redis, or basic database usage (PostgreSQL/MongoDB).
Understanding of OpenAI, Anthropic, Ollama, or other model inference APIs.

What We Value

Curiosity, ownership, clarity of thought, and an understanding of why systems work the way they do, not just how to use them.

Perks

Hands-on experience with real-world AI deployments.
Work with state-of-the-art AI tools and platforms.
Mentorship from top AI engineers and researchers.
Flexible, innovation-driven work culture.

Job Role: AI/ML Intern (LLMs & Agent Systems)

Location: Bangalore, India (On-site)

Duration: 6 Months

Company Overview:

Position Summary: We’re an AI/ML research-driven team focused on building intelligent AI Agents and RAG-based systems for real-world applications in finance, business, and personal assistance.

Our work combines applied research and fast-paced product development to create powerful, modular AI systems that think, reason, and act.

About the Role

As an AI/ML Intern, you’ll work closely with our core AI/ML team on projects involving LLMs, retrieval systems, and agentic reasoning.

You’ll contribute to experiments, data preparation, model evaluation, and prototype development, gaining exposure to both research concepts and production-level AI systems.

Key Responsibilities

Assist in building and evaluating LLM- and agent-based pipelines (RAG, reasoning, tool use, etc.).
Conduct small-scale experiments and contribute to prompt design and prompt evaluation.
Help integrate LLMs with APIs, databases, and internal tools.
Explore and document recent AI agent frameworks and LLM techniques.
Collaborate with backend engineers to test and deploy prototypes.

Requirements

Strong foundations in Machine Learning and Deep Learning concepts.
Good understanding of LLM fundamentals - tokenization, embeddings, attention, context, etc.
Some exposure to Prompt Engineering and reasoning patterns like Chain of Thought or ReAct.
Experience in Python and libraries like PyTorch, NumPy, Pandas.
Familiarity with Git/GitHub for version control.
Curiosity and ability to learn quickly in a research-focused environment.

Preferred Qualifications

Experience with Hugging Face Transformers/Datasets.
Exposure to RAG systems and vector databases (Qdrant, Pinecone, Weaviate, Chroma).
Awareness of LangChain, LangGraph, or other LLM/Agent frameworks.
Knowledge of Docker, Redis, or basic database usage (PostgreSQL/MongoDB).
Understanding of OpenAI, Anthropic, Ollama, or other model inference APIs.

What We Value

Curiosity, ownership, clarity of thought, and an understanding of why systems work the way they do, not just how to use them.

Perks

Hands-on experience with real-world AI deployments.
Work with state-of-the-art AI tools and platforms.
Mentorship from top AI engineers and researchers.
Flexible, innovation-driven work culture.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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About IAI solution

Founded :

2025

Type :

Product

Size :

20-100

Stage :

Raised funding

About

N/A

Company social profiles

N/A

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Due to the nature of the role, it would be nice if you have also:

Experience with large datasets and distributed computing, especially with the Google Cloud Platform
Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
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About Egnyte

In a content critical age, Egnyte fuels business growth by enabling content-rich business processes, while also providing organizations with visibility and control over their content assets. Egnyte’s cloud-native content services platform leverages the industry’s leading content intelligence engine to deliver a simple, secure, and vendor-neutral foundation for managing enterprise content across business applications and storage repositories. More than 16,000 customers trust Egnyte to enhance employee productivity, automate data management, and reduce file-sharing cost and complexity. Investors include Google Ventures, Kleiner Perkins, Caufield & Byers, and Goldman Sachs. For more information, visit www.egnyte.com

#LI-Remote

Job Description

What You’ll Do will include (But not limited to):

Preparing datasets needed to train and validate our machine learning models
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Defining and implementing metrics to evaluate the performance of the models, both for computing performance (such as CPU & memory usage) and for ML performance (such as precision, recall, and F1)
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Due to the nature of the role, it would be nice if you have also:

Experience with large datasets and distributed computing, especially with the Google Cloud Platform
Fluency in at least one deep learning framework: PyTorch, TensorFlow / Keras
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Experience working in a Colab, Jupyter, or Python notebook environment
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About Egnyte

#LI-Remote

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at E2M Solutions Pvt. Ltd.

1 recruiter

Posted by Deep Bhadja

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About E2M:

E2M Solutions works as a trusted white-label partner for digital agencies. We support agencies with consistent and reliable delivery through services such as website design, web development, eCommerce, SEO, AI SEO, PPC, AI automation, and content writing .Founded on strong business ethics, we are an equal opportunity organization powered by 300+ experienced professionals, partnering with 400+ digital agencies across the US, UK, Canada, Europe, and Australia. At E2M, we value ownership, consistency, and people who are committed to doing meaningful work and growing together .If you’re someone who dreams big and has the gumption to make them come true, E2M has a place for you.

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Good understanding of digital marketing and web technologies (coding not required).
Basic understanding of Artificial Intelligence (AI) concepts and their role in digital marketing, automation, or client delivery workflows.
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Clear, professional, and structured communication skills.
Ability to build relationships with clients and internal teams.
Familiarity with project management or collaboration tools (ClickUp, Basecamp, or similar) is a plus.
Ability to work both independently and collaboratively.
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Strong attention to detail and presentation skills.
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Opportunity to work with global digital agencies.
Structured learning and mentorship from experienced account managers.
Exposure to AI-enabled digital service delivery.
A high-performance environment focused on client success and quality.
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About E2M:

Role Overview

We are looking for an Associate Client Account Manager who will support client relationship management and ensure smooth delivery of services across assigned accounts.

Key Responsibilities

Act as a day-to-day point of contact for assigned client accounts under the guidance of senior team members.
Support client communication to ensure clarity, responsiveness, and a positive overall experience.
Coordinate with cross functional teams to ensure timely delivery.
Assist in managing client expectations, timelines, and deliverables.
Capture client feedback and communicate insights internally.
Help monitor account health, delivery progress, and service quality.
Support account retention and identify opportunities for incremental growth.
Proactively flag risks, delivery challenges, or client concerns.
Maintain strong professional relationships with clients and internal stakeholders.
Collaborate cross-functionally to ensure a seamless client journey.
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2–3 years of experience in a digital marketing, creative, or web design/development agency environment.
Exposure to handling or coordinating digital/web-based projects.
Good understanding of digital marketing and web technologies (coding not required).
Basic understanding of Artificial Intelligence (AI) concepts and their role in digital marketing, automation, or client delivery workflows.
Strong organizational and multitasking abilities.
Clear, professional, and structured communication skills.
Ability to build relationships with clients and internal teams.
Familiarity with project management or collaboration tools (ClickUp, Basecamp, or similar) is a plus.
Ability to work both independently and collaboratively.
Exposure to working with Sales, Pre-sales, or Account Management teams is preferred.
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Experience working with North American clients or across time zones is an advantage.

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Opportunity to work with global digital agencies.
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Good Experience in understanding the data Transmission through pug/sub mechanism like Event Hub and Kafka
Good Understanding of Analytics and clickstream data capture is HUGE Plus
Good understanding of frameworks like Java Spring Boot, Python is preferred
Good understanding of Microsoft Azure principles and services is preferred
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J2EE Architect

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2 recruiters

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Software Design

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Java Server Faces (JSF)

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Marketing & Design Intern

at The Dialogue Now

2 recruiters

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₹1L - ₹1L / yr

adobe suite

Logo Design

Graphic Designing

Social Media Marketing (SMM)

Candidates applying for this internship should have or be working towards a degree in Design or Marketing. An ideal candidate should be proficient with MS Office & Photoshop amongst other designing tools. Excellent verbal & written communications skills along with exceptional presentation skills is a must. Should be self-motivated.

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