Data & Machine Learning Engineer

Job description

Talentwelove is the fastest-growing HR startup in Romania, and the first fully digitalized Talent Acquisition Partner, which is also available at a global level. Our solutions cover end-to-end talent acquisition for small, medium, and very large businesses. Key Responsibilities: You will partner with Data Scientists to design, develop and maintain stable data and machine learning pipelines relevant for each business case You will collaborate with other software developers, QA engineers, product owners and software architects to plan, design, develop, test, and maintain business applications You will gather and organize large and complex data assets You will assist in the collection and documentation of user’s requirements, estimate and work plans Key Requirements: You have a Bachelor of Computer Engineering, with multiple development experience, or a first professional experience within a data engineering & science department 4+ years of experience as a data or machine learning engineer You have experience in Python programming Experience with big data processing technologies is a plus Hands-on experience and knowledge of the standard tools for Continuous Integrations and dashboards in the software industry and can program / automate with proficiency using scripting languages Technologies include Azure services, docker, Kubernetes, Terraform, bash, etc. Ideally, you are familiar with database technologies such as SQL, Oracle, or MongoDB You have a can-do attitude with a constructive mindset, a team player We will inspire you with this: A committed, professional, and pragmatic team with short decision-making processes and flat hierarchies An open and informal corporate culture with freedom and flexibility in daily activities and the opportunity to help shape the digital transformation of our company The connection to a successful and internationally operating group of companies Your induction will be first-class according to a structured onboarding plan Short decision-making processes, flat hierarchies, and room for the implementation of your own ideas are the order of the day with us A challenging and varied job with professional development opportunities Our Offer: Room for personal development through external, internal training tools and learning and development program #GROW Yearly performance bonus based on your seniority Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year Corporate Health Insurance Mindfulness and Wellbeing programs Up to 28 days of annual leave based on seniority We have a strong Work from Home culture and take into consideration punctual needs and more Flexible working schedule