AI/ML Engineer

at  DataFeedwatch

ABOUT US

We Help Merchants Grow. DataFeedWatch is a fast growing tech start-up with roots in Silicon Valley and offices in Krakow, Amsterdam, and Prague. Since March 2022 we are part of Cart.com which brings us numerous new opportunities to grow our business and ourselves.
We are a market leader in Feed Marketing Solutions and enable 20,000 online shops on 6 continents to advertise and be successful on shopping channels like Google, Facebook, and Amazon.
If you join us, you will be part of a team of nearly 90 people that includes 15 different nationalities. We are a diverse team that enjoys a perfect work-life balance. We don’t just work together, we have lunch together and hang out outside work hours. And most importantly, we like people who make their own decisions and want to grow the company and themselves.

SOFTWARE ENGINEERING KNOWLEDGE:

• Proficiency in SQL and NoSQL databases (e.g., PostgreSQL, MongoDB).
• Experience with Infrastructure as Code tools (e.g., Terraform).
• Familiarity with message-broker software (e.g., RabbitMQ, Celery).
• Expertise in web frameworks (e.g., Flask, FastAPI) and API development.
• Hands-on experience with distributed version control systems and CI/CD pipelines
• Knowledge of containerization and shipping technologies (e.g., Docker).

GOOGLE CLOUD PLATFORM KNOWLEDGE:

• Compute Engine.
• SQL databases.
• Cloud Storage.
• VPC Networking and Network Services.
• Resource management and billing.

• Develop machine learning applications aligned with specific business requirements.
• Implement LLM solutions on production, utilizing both open-source and proprietary models.
• Apply advanced ML and DL techniques to practical use cases.
• Design and develop robust machine learning systems.
• Build and maintain environments for deploying ML systems in GCP.
• Research and integrate appropriate ML algorithms and tools.
• Aggregate, process, and prepare data from diverse sources to create high-quality datasets.
• Test and evaluate AI and ML solutions for performance and reliability.
• Extend and enhance existing ML libraries and frameworks.
• Stay up to date with the latest advancements and trends in the AI and ML domains