Lead Data Scientist

What you can expect as a Lead Data Scientist

• Work on a cutting-edge AI-platform for real-time video processing.   


• Research and Implement state-of-the art AI models.  


• Join our growing and dedicated research and development team.  


• We offer a work environment where creative thinkers can grow.  

What you will do

Your daily work will require you to

• Demonstrate a problem-solving mindset, focusing on cutting-edge technologies to provide scientific solutions to complex challenges.


• Research and assess scientific papers and understand their underlying concepts.  


• Build production-ready solutions based on scientific ideas/academic work.  


• Have a keen interest in Large Language Models (LLMs) and be well-versed in prompt-based approaches. 


• Optimize models for real-time applications in the TV and live sports sector.


• Explore and utilize OpenAI tools such as CLIP & Whisper; prior experience is a bonus.


• Apply statistical models and processes to drive and enhance project outcomes. 


• Work on challenges in computer vision, natural language processing, audio processing and more.  


• Design and implement complex data pipelines based on data preparation and chaining models. 


• Understand and analyze requirements, ensuring feasibility, and delegating tasks effectively across the team. 


• Take ownership of projects, guiding and motivating the team through assigned tasks, fostering an interactive work environment.


• Collaborate seamlessly with our development team to bring integrated solutions to implementation.  

Who you are

• You should have a Bachelor’s or Master’s degree (Master’s preferred) in Mathematics, Computer Science or a relevant subject.  


• You must have 3 to 5 years of relevant experience in this field. 


• You know how to fine tune models and to design custom neural networks.


• You know how to measure and optimize the performance of models.


• You are familiar with the latest academic developments in computer vision.


• We expect you to be fluent in Python, Pandas, NumPy, OpenCV etc.  


• We expect you to be fluent with one or more common data science technology stacks like Pytorch, Tensorflow etc.


• You have deep knowledge of multiple ML algorithms and some Transfer Learning methods to solve real world classification and clustering problems. 


• You are familiar with object detection, object classification, scene detection, and leveraging similarity matrices in unsupervised learning techniques such as clustering.


• You have strong communication skills and are fluent in English.  

What you will get

• A competitive salary structure.


• An exceptional working environment with supportive peers and mentors.


• Health insurance privileges.


• Breakfast and Lunch at the office.


• Monthly team events.


• Lots of challenges and even more scope to implement your ideas.