Data & Machine Learning Engineer
Talentwelove6 days ago
- Where you can work from
- Remote — Oman & RomaniaOman, Romania
- Salary
- Salary not disclosedThe employer did not publish a range. We do not estimate one.
- Job type
- Full-time
- Experience
- Mid level
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via Himalayas · Himalayas
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
Originally posted on Himalayas
Job availability & source
Still listed on the employer's own board at our last check, 15 hours ago
This job was originally posted by the employer or source shown below. We re-check the original listing regularly to keep its availability current, and send you straight to it to apply — we never sit in between.
- Source
- Himalayas
- Posted by the employer
- 19 Oct 2026
- First seen by us
- 19 Oct 2026
- Last checked
- 25 Oct 2026
via Himalayas — view on source
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