AI Engineer

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!). 

Do you want to join the party?

Responsibilities

About the Role

We're a team of Data Scientists, each owning a different model and domain of expertise. We're looking for a Senior AI Engineer to join us — someone who thinks fast, learns independently, and gets from problem to working solution quickly. You'll own your own models end-to-end while also raising the bar for how the whole team builds, evaluates, and ships ML.

What You'll Do

• Design, build, and improve ML/AI models across domains — recommendation systems, image recognition, chatbots, and beyond.
• Own the full ML lifecycle: data preprocessing, feature engineering, training, validation, and deployment to production.
• Build evaluation pipelines that prove performance, scalability, and consistency — and that the rest of the team can reuse.
• Apply generative AI and LLMs to improve existing workflows and identify new product opportunities.
• Partner with Product, Engineering, and Analytics to keep modeling work tied to real business outcomes.
• Translate complex model behavior and findings into insights stakeholders can act on.
• Bring technical judgment to the team — share what you learn, and help keep practices consistent across different models and domains.

Requirements

• BSc or higher in Computer Science, Mathematics, Statistics, or related fields.
• 4+ years of hands-on experience as a Data Scientist, ideally within mobile, gaming, or social network industries.
• Proven experience with AI/ML frameworks and toolkits (Scikit-learn, TensorFlow, PyTorch, LangChain, etc.)
• Familiarity with MLOps best practices, model versioning, experiment tracking, and continuous deployment.
• Strong knowledge of machine learning techniques: Classification, regression, segmentation, reranking, model interpretability
• Solid background in data analysis and statistics; ability to design experiments and interpret results.
• Experience working in cloud environments, especially Google Cloud Platform (GCP) — BigQuery, GCS, Vertex AI (a plus).
• Comfortable working in fast-paced, production-critical environments with a sense of ownership and accountability.