We are building the next generation of fashion retail, both digital and physical. Check out our jobs. Contact us at info [at] similariti [dot] com
Similariti is looking for a professional and customer service oriented Store Salesperson to run the daily operations of our store.
You will be responsible for greeting customers, helping them find items in the store, demonstrating and explaining products, assisting customers with purchase decisions, retrieving merchandise from the sales floor, warehouse or other storage locations, placing orders, collecting payments using the store's point-of-sale system, and processing returns and exchanges.
You will be responsible for maintaining high operational and organizational standards in the store. You will be responsible for creating a pleasant store environment for customers and staff.
Candidates will also be expected to carry out administrative tasks, monitor stock levels and place new stock orders as required. You will also be asked to develop and implement business strategies to meet sales targets and improve store performance.
Our ideal candidate should be motivated by customer satisfaction and willing to work to improve satisfaction levels and create a better overall experience. You should be an excellent communicator with leadership, interpersonal de-escalation and problem solving skills.
Similariti is looking for an ML Engineer.
Working closely with experienced data scientists and product managers, you will be responsible for developing and delivering AI/ML models into production. You should have strong MLOps experience and excellent ΑΙ, DL, ML model and algorithm development, training, tuning and optimization skills.
This role requires an individual with strong MLOps, AI computer vision and NLP skills. It also requires cloud engineering skills and experience implementing complex real-time data and AI/ML applications to capture and codify knowledge and automate decisions.
You will actively contribute to source code, perform code reviews and ensure code quality and best practices.
Our ideal candidate will be a proven AI/ML engineer who is comfortable with ambiguity, pays attention to detail and thrives in a fast-paced environment.