The role in a nutshell:

As a foundational AI/ML Engineer, you will be instrumental in shaping the direction of Thinkle?s AI-powered career advancement tools. This role involves hands-on development and implementation of advance machine learning models, Recommendation systems, LLMs, as well as influencing the strategic decisions we make in our technology development.

You will be part of the founding team, working directly with the founders to create scalable, efficient AI solutions that address real-world problems for millions.

Location: Thinkle HQ, Wazirpur, Delhi (WFO role)

Salary: 8 - 12 LPA as per your experience

Before you apply:

- Pause for a second and ask yourself ? are you ready to dive into the rollercoaster ride that is a pre-seed startupWe?re talking bold ideas, fast pivots, long-hours and getting your hands dirty with tech that could shape the future of careers for millions.
- This isn?t your 9-to-5. We?re a small, scrappy team building something huge. You?ll wear multiple hats, break things, and figure it out as you go. It?s messy, it?s exhilarating, and it may not be for everyone.
- We don?t care how many years you?ve been coding ? show us what you?ve built, what excites you, and how you?ve pushed the boundaries of AI/ML.
- Oh, and one more thing? Delhi?s calling! You?ll need to be ready to relocate soon as part of the founding team. For now, we?re a remote team, so there?s some flexibility ? but be prepared for the hustle.

What we?re looking for:

- Deep familiarity and hands-on experience with Large Language Models (LLMs) such as GPT (developed by OpenAI), Claude (by Anthropic). You should have experience fine-tuning, prompt engineering,



and designing agents or pipelines to leverage LLMs at scale.
- Experience working in time-series modelling, sequential data processing, transformers, RNNs, and GRUs.
- Experience in building and optimising collaborative filtering, content-based, and hybrid recommendation systems for personalised experiences.
- Robust experience in end-to-end ML pipelines from research to deployment, including data collection, feature engineering, model training, evaluation, versioning, and MLOps.
- Skilled in developing and managing APIs that serve as interfaces to complex AI systems, ensuring robustness, scalability, and security.
- Our tech stack includes Python, TensorFlow, PyTorch, Pinecone, Keras, and various big data technologies.
- Experience with cloud platforms like AWS for deploying AI/ML models is essential.

You're a good fit if:

- You are passionate about AI and stay updated on the latest trends and technologies in the field, continuously integrating them into your work.
- You have a strong track record of developing high-impact AI solutions and are skilled in the nuances of model performance and optimisation.
- You thrive in a startup environment, enjoying the challenge of creating something new and taking ownership of complex AI projects from inception to deployment.
- You are a fast learner, adaptable, and able to pick up new techniques and tools as needed to keep pace with technological advance.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 AI/ML Engineer (New Delhi)
🏢 Thinkle
📍 New Delhi