Principal 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!

• Advanced Proficiency in Deep Learning Frameworks: Extensive experience with TensorFlow, PyTorch, and Keras, including designing, training, and optimising complex neural networks.
• Deep Understanding of Neural Network Architectures: Expertise in building and fine-tuning models, including LSTM, RNN, CNN, GANs, and Transformer architectures for various applications.
• Multi-modal Modeling: Skilled in integrating and processing diverse data sources (text, image, and video) to develop comprehensive and innovative deep learning solutions.
• Strong Foundation in Machine Learning and AI Principles: Solid understanding of machine learning theories, principles, and the ability to adapt and apply advanced algorithms effectively.
• Advanced Mathematics and Statistics: Proficiency in mathematical concepts and statistical techniques crucial for deep learning, including linear algebra, calculus, probability, and optimisation.
• Time Series Analysis and Forecasting
• GPU Programming and Optimisation for Deep Learning: Hands-on experience with GPU-based acceleration, parallelisation techniques, and memory optimisation for efficient training and deployment of deep learning models.
• Expertise in Natural Language Processing (NLP): Proficient in NLP techniques and model deployment, including sentiment analysis, text classification, named entity recognition, and language generation.
• MLOps and Model Deployment (Preferred): Familiarity with MLOps practices, CI/CD for machine learning, and model monitoring and maintenance to ensure high-performing, scalable deployments.

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.