Data Engineer in Constanţa

MLOps (nice to have) C++ (nice to have) C (nice to have) Cloud (advanced) Databases (advanced) Python (advanced) English (advanced) Hi Auto is the virtual assistant for restaurants.We are developing an innovative, conversational voice-based AI for the restaurant world.Its first skill is already being deployed at scale: automated order taking in Quick Service Restaurants (QSRs) where it improves customer experience, increases sales and reduces employee stress.Understanding an order in the drive-thru using voice is not an easy task and requires deep technology to get to the required high completion rate of orders. The challenges include a very noisy environment, unique speech patterns due to the customer's indecisiveness, different accents, gender, ages, speech from other people in the car, complex multi-turn unstructured conversation, low latency, and more.In order to solve big challenges, we are developing our own speech and natural language understanding tech from the ground up.We have complex pipelines generating the data for all our ML algorithms and the production environment. We are looking for a sharp Data Engineer who is enthusiastic about managing and analyzing big data flows in different environments.This person will take full responsibility over the full data flow. Make sure that the data fits our needs, create processes to monitor and validate the data flow, create tools to improve the interaction of different teams with the data and will always be looking to improve the work processes.About the Role:Be responsible for the full data creation pipeline.Analyze the data aggregated at different points in the pipeline and create automated tools to detect and fix problems.Work hand in hand with the ML engineers and analyze the ML algorithms results to detect faults / improvements suggestions in the data creation and devise the strategieslution.Understand the operation of the different teams interacting with the data and will create tools and processes to ease and improve their processes.Analyze the data flow and performance in the actual production environment.Create a centralized DB tracking and managing all facets of the data.Requirements:B.Sc. degree in Computer Science or equivalent industry experience.3+ years experience in Python and Database.Experience in one of the cloud environments (AWS, GCP, Azure).Nice to have:4+ years of python experienceExperience with data pipelines, MLOps.Experience in C/C++.MSc in the relevant domain.If your experience is close but doesn’t fulfill all requirements, please apply.