Expected, Google Cloud Platform, computer vision, neural networks
Operating system, Windows
About the project, We are starting a new engagement with one of the largest worldwide retail company. The first team we are building with them is Data Science team., , The successful candidate will be responsible for implementing machine learning models, conducting data preprocessing, and contributing to the development of our data pipeline.
Your responsibilities, Develop and train neural networks, Collaborate with cross-functional teams to define project objectives and requirements, Fine-tune, optimize, and conduct experiments with Computer Vision models and algorithms to maximize performance metrics, Address potential challenges such as overfitting, selecting appropriate evaluation metrics, optimizers, and augmentation techniques to enhance model performance, Document code ensuring clarity, maintainability, and reusability
3-4 years of experience in computer vision & neural networks, Experience with GCP, Advanced English & ability to work in complex organizations, Degree in computer science, statistics, mathematics, or a related field is required
This is how we work, in house
What we offer, Paid Vacation, Sick Days, Sport/Insurance Compensation, English Classes, Charity, Training Compensation
Benefits, sharing the costs of sports activities, sharing the costs of foreign language classes, remote work opportunities, flexible working time, employee referral program
ZOOLA TECH POLAND sp. z o.o., Zoolatech is a Software development company. Now we have around 400 team members in Ukraine, Mexico, Turkey, Poland and we continue to grow., , Zoolatech was founded on the idea of creating a harmonious, collaborative environment for all of our team members and our clients that, once they have discovered it, they will never want to leave. We are building a family-like atmosphere where clients and team members act as partners and share common goals., Our clients are awesome people who like what they do, so we work hard to make their products incredible. We help them achieve their desires and dreams., , We work with big enterprises and small startups from the USA and Europe. Our customers make the world better in many areas: Retail, Media & Entertainment, Logistics, FinTech, Renewable Energy, Healthcare, Agriculture, Construction & Real Estate, Travel & Hospitality and High Tech., , Mission: Our mission is to create an environment of professionalism and friendliness that will provide an excellent working environment for employees and outstanding service for the clients., At Zoolatech, everyone creates their own story: it can be about complex architecture, sports, a full and healthy life, or something completely new and exciting that you will bring to us and unite others around it, We have values that our employees and clients share:, Extreme Ownership, – We own everything within our reach: our work, our results, our relations with coworkers and clients, our careers and professional growth, – We don’t blame others and circumstances, – We face challenges, and we’re not hesitant to ask for help when needed, , Learn from Failure, – We love learning and dare to try making things differently and better, – We are smart not to make the same mistake for the second time, – We prefer taking risks and actions to staying still, , Speak Up, – We care for what is going on within our reach, – We know we are empowered to make a change, – We do not pretend nothing happens when we see mediocrity, injustice, or plain indifference, , Zoola Clients, – We want our clients to be with us forever, – We religiously believe that the only way to our success is our clients success, – We care about the products we work on, and about people who use it, Live a Full, Healthy Life., – We measure success by the value delivered, not the time spent working, – We care about our physical and mental health, – We believe that happy and healthy people are more productive
This is how we work,
Logistics statistics Computer Science data-preprocessing optimization remote work Google Cloud Platform (GCP) Professionalism clarity Retail Agriculture industry Machine Learning Windows computer-vision Software Developer fine-tune mathematics Friendliness Fintech requirements-management Collaboration startups neural-network Healthcare industry maintainability algorithms Sports activities