AI Product Developer - Intern | 12-Months | On-Site | Kochi | 20k-per monthFull-time offer after Internship

Kindly apply only if:
You have hands-on experience creating AI/ML/LLM-based solutions to real-world problems.

You are enthusiastic about working with data and unlocking insights and are passionate about solving real-life problems using state-of-the-art technologies.

You are available full-time for 12-months and are willing to relocate to Kochi, Kerala

About the Role:

We are looking for a passionate AI Product Developer Intern to build Proof of Concepts (PoCs) using AI/ML to unearth insights from children's activities on their devices - apps they use, websites they browse, things they search, videos they watch, their social chats with others to help parents keep them safe and understand them better.

In this role, you should be highly curious, analytical, and knowledgeable in analysis, mathematics, and statistics. Critical thinking and problem-solving skills are essential for interpreting data. You should be passionate about data, machine learning, deep learning, and related frameworks.

Requirements:
Good knowledge in Python, SQL, and basic ML algorithms like linear regression, logistic regression, SVM, kNN, and K-means.

High-level knowledge of algorithms like CNN, RNN, LSTM, and experience with modern AI tools such as LLMs (e.g., GPT-4, Claude).Hands-on experience with creating solutions based on machine learning and using ML APIs (e.g., OpenAI's GPT, Hugging Face Transformers).Experience in data mining and analyzing social media data to detect unsafe activities or conversations.

Familiarity with at least one ML framework, such as PyTorch or TensorFlow.
Basic knowledge of JavaScript and client-side ML is a plus.
Fair knowledge of cloud technologies.

Strong mathematical skills (e.g., statistics, algebra).Degree in Computer Science, Engineering, or a relevant field; a graduate degree in Data Science or another quantitative field is preferred.

Key Responsibilities:

Create AI/ML-based solutions to analyze children's messages on social media to detect unsafe activities such as bullying, predatory behaviour, and other threats.

Use data analyses and statistical techniques to develop solutions that improve customer experience and guide business decision-making.
Identify, develop, manage, and execute analyses to uncover areas of opportunity.
Propose solutions and strategies to business challenges - internal and external.

Opportunities:
Work with meaningful data to make a significant impact on child safety and parental understanding.
Contribute to saving lives and improving the lives of parents and children globally.
Working on the world's best digital parenting assistant

You are a good fit for this role ifYou have worked on projects like this in the pastAn ML model to detect hate speech and misinformation on social media platforms.

Tools that use NLP techniques to analyze social media conversations and detect signs of bullying or predatory behaviour in real-time.

A recommendation system for a platform designed for students

Logistics:
Location - KTIZ (Kerala Technology Innovation Zone), Kalamassery, Kochi, Kerala. (We do have accommodation facilities for outstation candidates near the office)

Joining Date - Tomorrow :
) or As Soon As Possible

What can you expect after you apply? You will,

Have a phone conversation with someone on our recruiting team—a high-level discussion about you and a good opportunity for you to learn more about us.

As the Next step, you will take up a challenge sent to you.

Based on your challenge rankings, you would be meeting the respective team to get an idea of how you got to where you are and whether our paths align.

You would have to provide us with some references.
Please speak with a member of our senior leadership team. If you have made it this far, just be yourself, and everything will be fine.

Our Core Values

We lead with empathy:
We believe kindness and compassion lead to effective communication. We assume good intentions and seek mutual understanding from our teammates, customers, and users.

We lean into vulnerability:
We are not afraid to ask for help or give and receive feedback. We build off our failures and don't shy away from tough conversations.

We rise above the status quo:
The status quo leads to pain for the people we serve, our communities, and our clients. We do our best to rise above the status quo and do things no one else is doing. On an individual level, we strive to improve ourselves and always be learning.

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