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GenAI Engineer

icon building Company : Tango
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - GenAI Engineer

Description:

Tango is a successful, market leader, a live-streaming Platform with 450+ Million registered users, in an industry projected to reach $240 BILLION in the next couple of years. 

The B2C platform, based on the best-quality global video technology, allows millions of talented people around the world to create their own live content, engage with their fans, and monetize their talents.

Tango live stream was founded in 2018 and is powered by 500+ global employees operating in a culture of growth, learning, and success!

The Tango team is a vigorous cocktail of hard workers, creative brains, energizers, geeks, overachievers, athletes, and more. We push the limits to bring our app from “one of the top” to “the leader”. 

The best way to describe Tango's work style is not to use the word “impossible”. We believe that success is a thorny path that runs on sleepless nights, corporate parties, tough releases, and of course our users' smiles (and as we are a LIVE app, we truly get to see our users all around the world smiling right in front of us in real-time!).  

We are looking for a talented GenAI Engineer to help develop and implement AI solutions based on generative AI into company products. In this role, you will work with modern models, optimize them for business tasks and integrate them into the existing infrastructure.

Do you want to join the party?



Responsibilities:
  • Explore and apply Generative AI techniques, such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformer-based models to develop solutions for data analysis of non-structured data, knowledge discovery, image and text generation, and other creative use cases.
  • Maintain and develop existing pipelines using third-party large language models API.
  • Interaction with research scientists and backend engineers.
  • Implement MLOps best practices.


Requirements:
  • Strong knowledge of the fundamental principles of machine learning.
  • Knowledge of classical algorithms and data structures.
  • Ability to write good code in Python and knowledge of development tools, libraries for working with data, images.
  • Experience with any of the Deep Learning frameworks (PyTorch, Tensorflow / Keras, JAX or others).
  • Familiarity with modern deep learning methods (convolutional neural networks, recurrent neural networks, transformers, large language models (LLM), etc.)
  • Exposure to prompt engineering or fine-tuning LLMs, using e.g. DSPy.
  • Readiness for continuous development, studying new technologies and scientific achievements in the chosen fields and their practical application.
  • Intermediate+ English.

Nice to have:

  • Education in Computer Science or related field (bachelor or master degree).
  • Understanding of classical approaches in natural language processing and/or computer vision.
  • Familiarity with Google Cloud Platform (Gemini API, Computing Services, BigQuery, Data Storage) and Docker.
  • Experience of commercial or research projects in the field of deep learning, computer vision or other areas of data analysis.
  • Experience in participating in machine learning competitions on Kaggle or other platforms, olympiads in mathematics and/or programming.

What we offer:

  • Stock options grant (we’re a Silicon Valley Company)
  • Competitive salary
  • On-site position with 4 days from office / 1 day from home (no remote)
  • Medical insurance for you and 75% off for your relatives
  • Free lunches and dinners
  • Parking
  • Multisport card
  • Cheerful team spirit and fun office atmosphere

If this sounds like you, apply and help empower live entertainers and creators to build independent businesses around their live talents.

#LI-Onsite

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