Associate Digital Initiatives

About The Role

Location: Remote / Hybrid (India Preferred)

Experience: 03–10 years of relevant experience

Reports to: CEO/Co-founder

Type: Full-Time

Tech Stack: Python, Frappe, LangChain, Neo4j, FAISS, React.js, AWS/GCP/Azure

What You’ll Do

● AI/ML Development

○ Build AI-powered student learning insights using Graph Databases (Neo4j), FAISS,

Sentence Transformers, and OpenCV (ResNet-50).

○ Develop Retrieval-Augmented Generation (RAG) and reinforcement learning models to

personalize content and assessment.

○ Research and implement multi-modal generation (text, image, voice) for highly

personalized learning interactions.

○ Fine-tune and optimize transformer-based models (e.g., GPT, BERT) to deliver contextual,

culturally relevant learning experiences.

● Backend & API Development

○ Architect and build scalable backend using Frappe, FastAPI, or Django.

○ Develop REST and GraphQL APIs to connect PAL with TAP’s LMS, Glific, and content

repositories.

○ Integrate Redis and Celery to manage background inference processes.

○ Connect with Glific APIs to power our AI-driven WhatsApp learning chatbot.

● Frontend & User Experience (Optional)

○ Develop a React.js-based student dashboard for real-time learning insights and content

delivery.

○ Collaborate closely with our UX team to ensure intuitive and accessible design.

● Cloud & Deployment (DevOps)

○ Deploy and scale models across cloud platforms: AWS, GCP, or Azure.

○ Implement CI/CD pipelines (Jenkins, Cypress.io) to ensure continuous delivery and testing.

○ Use Docker and Kubernetes for managing containerized deployments.

● AI-Driven Security & Automation

○ Ensure data privacy and compliance by embedding AI-powered security checks.

○ Automate personalized content delivery through NLP chatbots and AI workflows.

Who You Are

● You’ve worked on AI/ML systems at scale, especially in EdTech, SaaS, or social impact settings

● You’ve built or fine-tuned models with GPT/BERT, FAISS, LangChain, or custom embeddings

● You know how to move between backend complexity and real-world deployment

● You’ve used tools like Zapier, N8N, or FastAPI in production

● You don’t just write code — you write roadmaps, define structure, and love cross-functional

collaboration

● Bonus: You’ve dabbled in adaptive learning, NLP in regional languages, or multimodal AI

What You Can Expect?

● Real ownership – You’ll lead architecture, experimentation, and rollout

● Deep learning – Work with experienced leaders across product, pedagogy, and AI

● Remote flexibility – Work from anywhere, build for everywhere

● Bold pace, clear values – We move fast, think big, and always center the child

● Future leadership track – Opportunity to grow into a Tech/AI Lead role as we scale

● Full transparency – Competitive salary, equity potential, and clarity on what’s next

Web Farm House Looking For Digital Marketing Inters.

Social Media Marketing and Digital Marketing skills

Experience in Web Analytics and Online Marketing

Strong communication skills

Understanding of SEO principles

Knowledge of content creation and management

Ability to work in a team and independently

Background in Marketing or Communications is a plus

Internship or coursework in Digital Marketing,

About us:

Pi - India’s 1st SuperMoney App, is an AI-native Fintech startup building ML platforms for financial advisory and wealth management. Founded by a former Investment Banker (IIT/IIM/ CFA®) with over a decade of experience.

We are looking for Machine Learning Engineers who are passionate about developing world-class ML platforms. You will be part of the Core Founding team that lays the foundation for a Unicorn journey. You'll join a visionary, funded startup on the ground floor and get to build it up one conversation at a time.

Qualifications:

• Overall experience of 4 to 7 years in ML
• B.Tech/BE from top-tier colleges (IIT, NIT, IIIT)

Requirements:

• Applied GenAI expertise in implementing cutting-edge LLMs and diverse generative models, specializing in transformers and GPT models.
• Demonstrated proficiency across various modalities, showcasing a dynamic skill set for innovative solutions.
• Expertise in Natural Language Processing (NLP), with a comprehensive understanding of the entire stack involved in designing, training, evaluating, and deploying machine learning models, particularly large language models.
• Deep understanding of the entire stack when it comes to designing, training, evaluating, and deploying ML models. Successfully collected a new giant dataset and played a critical role in shipping a new ML product that required custom components.
• Extensive experience in designing and building intelligent agents, leveraging AI techniques to create autonomous and adaptive systems for various applications.
• Proficient in writing distributed ML infrastructure, debugging and fixing hard-to-find bugs in ML models, and owning production-grade projects from start to finish.
• Experience with Deep learning frameworks such as PyTorch, TensorFlow. , Jax, and Keras.
• Proficient in writing GPU kernels using CUDA .
• Experience with AWS SageMaker and the AWS Machine Learning suite of tools.
• Developed novel techniques for ML model measurement and mitigation.
• Proficient in Apache Kafka for seamless data streaming, Apache Spark for large-scale batch processing, and Apache Airflow for efficient orchestration.
• Demonstrated expertise in Kubernetes-based workflows, specifically Kubeflow, for scalable and portable machine learning and data processing deployments, enhancing pipeline reliability and performance.
• Experience with MongoDB, MySQL, and Vector databases.
• Experience with analytics.
• Proficient in Kubernetes, Python, Github, Huggingface, R(for Analytics)
• Experience in mentoring and growing engineers.

Additional Benefits:

Competitive compensation along with ESOPs of a path-breaking Fintech startup

Internship Program Details:

Our Internship Program is designed to offer hands-on experience to students who are eager to explore the dynamic world of Artificial Intelligence (AI), Machine Learning (ML) and business Intelligence (BI). This program will provide participants with a unique opportunity to work on real-world projects, gain exposure to cutting-edge technologies, and collaborate with our talented team of experts.

Key Program Highlights:

Duration: 6 months, full time

Eligibility: MBA student with a keen interest in the dynamic fields of Business Intelligence (BI), Artificial Intelligence (AI), and Machine Learning (ML)

Location: Guindy, Chennai

Mentorship: Each intern will be assigned a dedicated mentor for guidance and support

Projects: Interns will work on live projects with tangible outcomes

Certificate: Upon successful completion, interns will receive a certificate of participation