75 783
9 194
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 dont 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.
About the Job
As an AI/ML Engineer, you’ll join our dynamic Machine Learning team to enhance ML functionality within DataFeedWatch. In this role, you’ll manage systems, services, MLOps, and production models for a core department that connects seamlessly with our entire suite of “eCommerce-as-a-service” products.
This is your chance to play a pivotal role in shaping the future of commerce and contributing to a company that’s redefining the eCommerce landscape. If you’re passionate about innovation, thrive in a fast-paced, collaborative environment, and are eager to make a significant impact, we want to hear from you. Read on to discover how you can be part of our exciting journey.
About You
You are ambitious, driven by personal and professional growth, and thrive on tackling challenges in both life and work. Friendly, open-minded, and collaborative, you excel in team environments and enjoy working with like-minded individuals who share your enthusiasm for taking initiative and making a meaningful impact on the company’s success.
Most importantly, you resonate with our core values and culture, and you believe they align perfectly with your own approach and aspirations.
What’s in it for You?
The salary for this position is between 30k and 35k per month.
We also offer free lunch, remote work, and various other awesome perks!
However, we believe that there is a much bigger reward in joining a team of people that enjoy each other’s company, as well as sharing the same goals and values. And that it is much more satisfying to work, learn, and grow in an environment where freedom and initiative are appreciated.
Software Engineering knowledge:
Google Cloud Platform knowledge:
Additional Preferences:
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 dont 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.
About the Job
As an AI/ML Engineer, you’ll join our dynamic Machine Learning team to enhance ML functionality within DataFeedWatch. In this role, you’ll manage systems, services, MLOps, and production models for a core department that connects seamlessly with our entire suite of “eCommerce-as-a-service” products.
This is your chance to play a pivotal role in shaping the future of commerce and contributing to a company that’s redefining the eCommerce landscape. If you’re passionate about innovation, thrive in a fast-paced, collaborative environment, and are eager to make a significant impact, we want to hear from you. Read on to discover how you can be part of our exciting journey.
About You
You are ambitious, driven by personal and professional growth, and thrive on tackling challenges in both life and work. Friendly, open-minded, and collaborative, you excel in team environments and enjoy working with like-minded individuals who share your enthusiasm for taking initiative and making a meaningful impact on the company’s success.
Most importantly, you resonate with our core values and culture, and you believe they align perfectly with your own approach and aspirations.
What’s in it for You?
The salary for this position is between 30k and 35k per month.
We also offer free lunch, remote work, and various other awesome perks!
However, we believe that there is a much bigger reward in joining a team of people that enjoy each other’s company, as well as sharing the same goals and values. And that it is much more satisfying to work, learn, and grow in an environment where freedom and initiative are appreciated.
,[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 Requirements: SQL, NoSQL, Infrastructure as Code, Terraform, RabbitMQ, Celery, Flask, FastAPI, Version control system, CI/CD Pipelines, Docker, Google Cloud Platform, Cloud Storage, VPC, Networking, Machine learning, Python, Keras, PyTorch, pandas, scikit-learn, Data structures, Data modeling, Architecture, Communication skills, Degree Additionally: Sport subscription, Private healthcare, Education budget, Lunch Card & Unlimited snacks, Conferences, trainings, Occasional gifts, Integrations events and celebrations, Training budget, Lunch card, Library, Free parking, Dog friendly office, Free coffee, Bike parking, Playroom.