Project Coordinator(Non IT)

Strong performance marketer profile

Mandatory (Experience 1): Must have 4+ years of experience in performance marketing

Mandatory (Team Lead): Must have atleast 1+ years of experience in a managerial role

Mandatory (Tech Skills): Must have strong hands-on expertise in any of Google Ads, Meta Ads, LinkedIn Ads

Mandatory (Tech Skills): Must have proven experience managing large monthly ad budgets

Mandatory (Tech Skills): Must have an understanding of attribution models, funnels, and CRM-based tracking

Mandatory (Tech Skills): Must be proficient in advanced Excel/Google Sheets

Mandatory(Company): Product companies (Fintech, Startups preferred)

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

Location: Bangalore, India (On-site)

Duration: 6 Months

Company Overview:

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.

Years of experience:2-5 Years
Notice: Immediate -20 Days(Max)
What are we looking for?

• Bachelor's degree in Computer Science or equivalent practical experience.
• 2+ years of testing and automation experience.
• Experience with the following coding languages: Java or Python.
• Experience with test methodologies, writing test plans, creating test cases and debugging.
• Experience in creating test strategy - Functional, Non-Functional, Analytics and automation.

          Hands-on experience for UI automation using Selenium and Appium.

• Automation experience for REST-based web services using Java, TestNG, Maven, HTTPClient, REST assured, etc.
• Good to have load test experience using Jmeter/Gatling/ Any other tool.

RESPONSIBILITIES:

• You will be involved in directly driving application of machine learning and AI to solve various product and business problems including ML model lifecycle management with ideation, experimentation, implementation, and maintenance.

• Your responsibilities will include enabling the team in moving forward with ML/AI solutions to optimise various components across our music streaming platforms.

• Your work would be impacting millions of users the way they consume music and podcasts, it would involve solving cold start problems, understanding user personas, optimising ranking and improving recommendations for serving relevant content to users.

• We are looking for a seasoned engineer to orchestrate our recommendations and discovery projects and also be involved in tech management within the team.

• The team of talented, passionate people in which you’ll work will include ML engineers and data scientists.

• You’ll be reporting directly to the head of the engineering and will be

instrumental in discussing and explaining the progress to top management and other stake holders.

• You’ll be expected to have regular conversations with product leads and other engineering leads to understand the requirements, and also similar and more frequent conversation with your own team.

REQUIREMENTS:

• A machine learning software engineer with a passion for working on exciting, user impacting product and business problems

• Stay updated with latest research in machine learning esp. recommender systems and audio signals

• Have taken scalable ML services to production, maintained and managed their lifecycle

• Good understanding of foundational mathematics associated with machine learning such as statistics, linear algebra, optimization, probabilistic models

Minimum Qualifications

• 13+ years of industry experience doing applied machine learning

• 5+ years of experience in tech team management

• Fluent in one or more object oriented languages like Python, C++, Java

• Knowledgeable about core CS concepts such as common data structures an algorithms

• Comfortable conducting design and code reviews

• Comfortable in formalising a product or business problem as a ML problem

• Master’s or PhD degree in Computer Science, Mathematics or related field

• Industry experience with large scale recommendation and ranking systems

• Experience in managing team of 10-15 engineers

• Hands on experience with Spark, Hive, Flask, Tensorflow, XGBoost, Airflow

What you need to have:

About Company

‘Good Good Piggy’ is an Ed-FinTech start-up that encourages the new generation to develop the life-skill of managing the entire money management equation digitally, because the future of money is digital. We recognize the importance of reinforcing good behaviour, habits and skills from a young age.

Job Description

We are looking for a React Native developer interested in building performant mobile apps on both the iOS and Android platforms. You will be responsible for architecting and building these applications, as well as coordinating with the teams responsible for other layers of the product infrastructure. Building a product is a highly collaborative effort, and as such, a strong team player with a commitment to perfection is required.

• Total Experience: 2 to 5 Years
• Notice Period: 30-45 Days
• Preferred Location: Delhi NCR
• Role: Full Stack Developer
• Industry Type: Ed-FinTech
• Employment Type: Full Time, Permanent
• Role Category: Software Development

Responsibilities

• Architect, build and maintain excellent React Native applications with clean code.
• Implement pixel perfect UI's that match designs.
• Implement clean, modern, smooth animations and transitions that provide an excellent user experience.
• Setup/configure CI/CD pipeline leveraging AWS native services or traditional tools (e.g. Jenkins, GitHub, Artifactory, SonarQube, etc)
• Deploy applications on AWS platform leveraging AWS platform services like EC2, EBS, S3, CodeArtifact etc
• Integrate third-party API's.
• Write unit and integration tests.
• Release applications to IOS and Google Play stores.
• Work with native modules when required.
• Work as part of a small team, which will include other React Native developers, a project manager, QA professional, and a designer.

Skills And Qualifications

• 2+ years of professional experience working with React Native.
• Experience working with Swift, Java required.
• Meaningful experience working on large, complex systems.
• Ability to take extreme ownership over your work.
• An understanding of React Native best practices and a commitment to following them.
• Ability to work through new and difficult React Native issues and contribute to libraries as needed.
• Working with Agile framework especially is necessary
• Organizational and leadership abilities
• Excellent communication skills
• Problem-solving aptitude

Education

B.Tech/B.E./MCA or Equivalent

• Extensive knowledge of linux kernel internals.
• Good knowledge of C programming language.
• Familiarity with any processor architecture, virtualization, storage and network management.
• Strong experience in debugging linux kernel mode
• Debugging experience across hardware and platform firmware.