Beta
NextResu.me
Upload a resume screenshot or PDF/Word file.
File size can not exceed 5M
Resume optimization.
The first 1,000 reservations can experience for free.
✔ subscribed
Job information
Intro:From FinTech and Retail to AI, Health Tech, and Transportation – there is virtually no domain or industry that can’t vastly benefit from Data Science. The possibilities that this field offers are almost limitless – and HTEC is on the lookout for Data Scientists eager to tap into that potential. Some of our success stories in this domain include building a maritime intelligence platform, an AI-powered expert search engine, a data platform that leverages Lakehouse architecture, and many more. If you would like to become a part of our team, check out the description below and apply.Key responsibilities:Implementing statistical and machine learning methods that could be used to solve a given problem, then evaluating and presenting the resultsData acquisition, exploration, cleaning, augmentation, and visualizationDesigning, conducting, and tracking experiments in different domainsAnalysing and addressing the errors of applied machine learning models and algorithmsParticipating in solution productization, high-level design, and low-level implementationDriving technical quality of a solution and managing technical debtEnsuring that the solutions are well-documented and presentable to the stakeholdersParticipating in the technical investigation (Spike) and prototyping (PoC)Communicating and collaborating with engineering teams, product teams, and stakeholders in all project phasesRequired Qualifications:Demonstrated proficiency in designing and delivering robust and scalable distributed systems in productionProficient in:statistical data analysissupervised and unsupervised machine learningtransfer learning and ensemble learningfeature engineeringoptimization techniquesProficient in at least one of the commonly used frameworks – TensorFlow, PyTorch, Keras, scikit-learn, etc.Experienced in working with structured and unstructured data, relational and non-relational databasesExperienced with Python and familiar with object-oriented programming, clean coding, and version controlFamiliarity with algorithmic complexity, GPU/CPU utilization, and I/O bandwidthCreates pragmatic technical documentation with well-understood diagramsAble to explain technical points using business language and presentationsNice to have:Striving for constant improvements in solution designKeeping up with the new trends in the fieldExperienced in building solutions based on deep learning modelsExperienced in working with some of the following data types: images, text, time series, spatial data, etc.Experienced with cloud platforms
Generate
Enter the job description and your resume,
To get your personalized interview questions
Remaining fish crackers: --
|
Login