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Data & Machine Learning Engineer

Talentwelove

RemoteRomaniamidFull Time
Posted
today
Source
Himalayas
Field
Engineering, Data & Analytics

Skills

Talent AcquisitionMachine LearningKubernetesOnboardingTerraformMongoDBPythonDockerAzureSQL

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 Originally posted on Himalayas

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