Sr. Data Scientist

ABOUT US

We are Ai Palette. We think the world would be a nicer place to be if Food Companies could create products that the consumers really want. So we are making it happen. We want to be the most preferred Food AI company in the world. We’re making it possible by building an AI-powered SaaS platform based on our founders’ experience in the Food Industry & AI.

We are a Series A round funded company with experienced investors like pi Ventures, Exfinity ventures and Anthill ventures. We are building a global company and are already working with customers across the globe. Our customers include Fortune 500 companies and FMCG brands.

We have won several accolades & awards in our short period of existence such as:

• Top 10 Global Food & Retail Tech startup at Kickstart Innovation'20 at Switzerland

• Top 15 Global Food tech Startup at Slingshot'19 at Singapore

• Top 200 Global startups at HKSTP Epic'20 at HongKong

• Top 500 Global Food Tech startups by Forward Fooding
  
  

WHAT’S IT LIKE TO WORK AT AI PALETTE? 

We're a growing technology startup headquartered in Singapore with our Engineering base in Bangalore and a team in US, We PaletteeRs are a highly passionate and motivated bunch of people that help each other do remarkable things and achieve extraordinary results every single day. We are active learners, have a positive impact on consumers’ lives and settle for nothing short of excellence. We face challenges together and we win together. In our vision to build the World's First AI Platform for New Product Innovation, there isn’t a day that goes by where we don’t have “Aha” moments.  We strive together to deliver world-class solutions that transform the way consumer products of today and tomorrow will be created. Join us!

• Natural Language Processing (NLP) Expertise: Extensive experience in NLP techniques, including text processing, sentiment analysis, text classification, entity recognition, and advanced language generation models.
• Generative AI and Open-Source LLMs: Proficiency in leveraging open-source large language models (LLMs), including experience with LLMOps, retrieval-augmented generation (RAG), and deployment of generative AI models in production settings.
• Neural Networks and Advanced Architectures: Expertise in a range of neural network architectures, including CNN, RNN, LSTM, and Transformer-based models. Skilled in designing, fine-tuning, and optimising models for various applications, from image recognition to NLP.
• Optimisation Models & Recommendation Engines: Skilled in building optimisation models and recommendation systems tailored to enhance user experience and drive targeted outcomes. Experience in Reinforcement Learning is a strong plus.
• Graph-Based Models: Proficient in designing and implementing graph neural networks (GNN), graph attention networks (GAT), and other graph-based models to leverage relational data and complex networks.
• Vector Databases Experience: Hands-on experience with vector databases to support similarity search, efficient data retrieval for embedding-based applications

BENEFITS

• Great progression opportunities - we want you to grow with us.

• Look after yourself with health insurance including Hospital/Surgical.

• Learn new skills with sponsored training on MOOCs such as Coursera, Udemy.  

EQUAL OPPORTUNITY: 

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.