Senior Data Scientist / Machine Learning Engineer

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

About the Client:

Our client is one of the biggest Media and Entertainment companies in the world. They are building a system that extracts meaningful insights from video content and leverages machine learning to forecast key performance metrics. Be part of an innovative project where your expertise will directly impact the development of AI-driven solutions for the media and entertainment industry.

Role Overview:

We are seeking a skilled Data Scientist to lead the development of machine learning models for video content analysis and revenue prediction. This role involves end-to-end processing, from data extraction to model deployment, requiring expertise in transcription, metadata integration, and advanced machine learning techniques. The ideal candidate will have hands-on experience with Python, web scraping, regression models, and cloud platforms for deployment.

The role is fully remote. Preferred location is in Europe, or similar time zones.

The role is a long-term renewable contract position through Xenon7, which is the approved vendor of the client. 

The payments are paid out in gross amount in USD on a monthly schedule.

Responsibilities:

• Download video materials and extract audio channels for analysis.
• Use transcription models like Whisper to generate text from audio.
• Scrape metadata from sources like IMDb and integrate it with transcribed data.
• Develop predictive models, such as XGBoost, to forecast metrics like revenue.
• Build and deploy web services to serve machine learning models.
• Containerize applications using Docker for scalable deployment.
• Deploy solutions on cloud platforms like Azure, ensuring reliability and performance.
• Collaborate with cross-functional teams to refine data pipelines and processes.
• Ensure code quality, version control, and collaboration using Git.

Requirements

• Proficiency in Python, including libraries for web scraping and data analysis.
• Experience with transcription tools like Whisper or similar.
• Strong knowledge of regression and prediction models (e.g., XGBoost).
• Hands-on experience with containerization tools like Docker.
• Familiarity with cloud platforms such as Azure or equivalents.
• Experience in developing and deploying web services (e.g., Flask, FastAPI).
• Proficiency with version control systems like Git
• Strong problem-solving and analytical skills.
• Ability to work independently and in collaborative team environments.
• Excellent communication skills for conveying insights and findings.