
Data Scientist / Machine Learning Engineer
cloudatus
Status
Hexjobs Insights
Data Scientist / ML Engineer role at Cloudatus, focusing on ML solutions in enterprise settings. Requires experience in ML methods and cloud platforms. Offers flexible work, healthcare, and professional growth.
Słowa kluczowe
Benefity
- B2B or employment contract
- Industry-leading healthcare and comprehensive medical coverage (Luxmed)
- Opportunities to enhance your qualifications
- Customizable 1-on-1 English or German lessons
- Modern computer equipment
- Opportunities to network and connect (get-togethers, team-building events)
- Employee referral programme
At cloudatus, we help customers drive technical solution design, development, deployment and support them alongside their cloud journey. As an all‑cloud service and consulting provider for midsize and large enterprises, we speak cloud fluently: IaaS, PaaS, SaaS – you name it.We are looking for a Data Scientist / Machine Learning Engineer to join our engineering team and deliver ML solutions for international enterprise projects.Your RoleAs a Data Scientist / Machine Learning Engineer you will design, build and deploy machine learning and data science solutions in an enterprise environment. You will work closely with cross‑functional teams to turn complex data into actionable insights and integrate models into existing business processes and IT infrastructures.Your ResponsibilitiesDesign, develop and implement machine learning and data science solutions in an enterprise environment.Preparation and analysis of complex datasets from various sources, including handling missing and incorrect valuesApplication and optimisation of machine learning methods (e.g. linear regression, random forest, K‑nearest neighbors, neural networks, gradient boosting, clustering methods, reinforcement learning, decision/regression trees), including feature engineering and hyperparameter tuningBuilding models using Python and/or R and standard data‑science librariesUsing cloud platforms (e.g. Azure ML, AWS SageMaker) and contributing to automated ML pipelines and MLOps practicesCollaboration with cross‑functional teams to integrate ML solutions into business processes and IT systemsYour ProfileSolid experience in the design, development and implementation of ML and data science solutions in an enterprise environmentIn‑depth knowledge of statistics and data analysis (e.g. confidence intervals, significance tests, survival analyses, etc.)Strong programming skills in Python (R is a plus)Experience with cloud platforms such as AWS SageMaker or Azure ML; knowledge of ML pipelines and MLOps is desirableTeam‑oriented, analytical and solution‑oriented approach to work, with strong communication skillsIdeally, experience in the field of GenAIFluent in English (German is a plus)Benefits:B2B or employment contractWorking with latest technologiesIndustry‑leading healthcare and comprehensive medical coverage (Luxmed)Opportunities to enhance your qualificationsCustomizable 1‑on‑1 English or German lessonsModern computer equipmentOpportunities to network and connect (get‑togethers, team‑building events)Employee referral programmeFlexible working scheduleLocation:Rzeszów, with the flexibility to work 100% remotely or combine office presence with home office - your choice.Take your Machine Learning skills to new heights and gain the most in‑demand expertise.Sounds like a fit? Let’s talk.
| Opublikowana | 3 dni temu |
| Wygasa | za 27 dni |
| Źródło |
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