الصفحة الرئيسية باكستان Machine Learning Engineer

الصفحة الرئيسية باكستان Machine Learning Engineer

Machine Learning Engineer

دوام كامل في a Laimoon Verified Company في Pakistan
نُشرت يوم December 23, 2024

تفاصيل الوظيفة

Job Description - ML Engineer (Junior, Middle, Senior)Company Profile: Talnetwork is a fast, reliable platform that helps to build remote teams of global top talent. We provide equal opportunities to remote tech professionals irrespective of their region, gender, or age.Project Details: Our client is a large-scale European firm seeking Junior, Middle, and Senior Machine Learning Engineers to join their growing software development team. They are working on a high-tech project using cutting-edge technologies and looking for highly skilled remote talent. The client offers market-competitive salaries with a great opportunity for learning and growth.Job Title: Machine Learning EngineerJob Location: RemoteDepartment / Function: IT DevelopmentReport to: Project HeadVacancies: 20Responsibilities:Study and transform data science prototypesDesign machine learning systemsResearch and implement appropriate ML algorithms and toolsDevelop machine learning applications according to requirementsSelect appropriate datasets and data representation methodsRun machine learning tests and experimentsPerform statistical analysis and fine-tuning using test resultsTrain and retrain systems when necessaryExtend existing ML libraries and frameworksKeep abreast of developments in the fieldRequirements/Experience:Proven experience as a Machine Learning Engineer or similar roleUnderstanding of data structures, data modelling, and software architectureDeep knowledge of math, probability, statistics, and algorithmsAbility to write robust code in Python, Java, and RFamiliarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)Excellent communication skillsAbility to work in a teamOutstanding analytical and problem-solving skillsEducation: Bachelor's/Master's in computer scienceExperience: 1-10 years hands-on programming experienceLanguage: Reasonably proficient in written and verbal English communicationWorking Hours: FlexiblePerformance Measures: Daily tasks, Weekly/Monthly/Quarterly Goals

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