Who are we? www.entropik.io

Entropik is the world's leading Emotion AI platform that reads human emotions and helps brands redefine their offerings and experiences. In our mission to humanize experiences, we have built AI technologies that understand human emotion through Facial Expressions, Eye Movement, Voice Tonality, and Brainwaves - in a fast and scalable manner. Our diverse product portfolio allows you to measure experiences across Media, Digital, and Shopper interactions in an accurate and meaningful way. Entropik provides emotion insights to over 150 global brands in CPG, Retail, Media & Publishing, Telecom, and Financial Services industries, amongst others. We are present across North America, Europe, the Middle East, India, and South-East Asia.


About the role:

As an ML Engineer at Entropik, you'll be building and maintaining machine learning models in our production systems. Your expertise will be crucial in optimizing the model inference time for Entropik's in-house models, ensuring efficient and scalable performance by shipping ML Python libraries.


Additionally, you'll spearhead the development of Language Model (LLM) based solutions for our In-House Copilot, extending the capabilities of LLMs through fine-tuning techniques. Operating within our dynamic startup environment, you'll thrive on the challenges of developing cutting-edge AI solutions and making a significant impact on our success, growth, and culture.


Requirements:

  • 3 to 7 years of hands-on experience in designing, developing, and deploying machine learning models and AI/ML solutions in a production environment.
  • Strong understanding of machine learning algorithms, deep learning, natural language processing, LLMs and computer vision techniques.
  • Proficiency in programming languages such as Python or others commonly used in AI/ML development.
  • Understanding of AWS Cloud environment would be highly desirable