Principal Data Scientist

Posted 15 Hours Ago
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Bengaluru, Karnataka
Senior level
Artificial Intelligence • Machine Learning
The Role
The Principal Data Scientist will lead the development and optimization of deep learning models and AI solutions for food companies, utilizing advanced neural network architectures and integrating diverse data sources. Responsibilities include MLOps practices, GPU programming, and expertise in NLP, aiming to enhance product innovation through data-driven insights.
Summary Generated by Built In

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!

Qualification: Masters Degree and 5+ Years Professional Experience

Key Skills:

  • 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.

Top Skills

Keras
PyTorch
TensorFlow
The Company
93 Employees
On-site Workplace
Year Founded: 2018

What We Do

Ai Palette enables CPG companies to create consumer-winning products using Artificial Intelligence and Machine Learning. Its patented technology identifies emerging trends across 61B data points collated from 150+ data sources in real time, uncovering consumer drivers and motivations, and helping in creating product concepts that meet unmet consumer needs. Its Natural Language Processing algorithm can also understand 18 different languages including Asian languages, making it truly one of a kind. With Ai Palette, you can: - Quickly access consumer trends and insights without spending time and money on traditional market research. FoodGPT leverages a vast pool of over 61 billion data points, ensuring you stay in sync with the dynamic consumer landscape. - Combine 1st party, 2nd party and 3rd party data and data sources in a single place to get faster research without investing a lot of time on digging into data sources. - Generate compelling product concepts, fine tuned to resonate with your target audience, with elaborate product claims and messaging crafted in consumer language. - Validate winning product hypothesis by marrying sales, consumer panel data, and secondary research data. - Leverage powerful predictions for sales forecasting with each new product launch. - Make new markets penetration or establish novel categories successfully backed by consumer data. Headquartered in Singapore, it is currently working closely with some of the world's largest food companies, including Fortune 500 giants like Kelloggs', Nestle, Olam, Diageo etc.

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