Duties: Entwicklung webbasierter Unternehmensanwendungen; Projekte von der Anforderungs-Analyse bis zur Produktivsetzung begleiten; Zusammenarbeit in einem dynamischen Team; Kurze Entscheidungswege und flache Hierarchien
Requirements: Abgeschlossenes Studium im Bereich IT oder vergleichbar; Sprachniveau Deutsch mindestens C1

Duties: Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions; Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc; Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc
Requirements: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus; 3+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a massive plus

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models
Requirements: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Duties: We are seeking a Principal Data Scientist to enhance our strategic execution by employing advanced data science methodologies in experimental analysis, predictive modeling, and machine learning to solve complex business-case based operational challenges and optimize processes
Requirements: 5+ years of data science experience solving operational issues using advanced statistical techniques and machine learning; Proven solid skills in statistical programming and data manipulation (Python, R), and complex database queries (SQL); Proven ability to effectively communicate complex data science concepts to non-technical audiences

Duties: This role will be the key data science leader for building our generative AI practice, in collaboration with our head of ML Ops. The person in this role is expected to have prior experience with creating generative AI solutions and will need to attract others with that skills set. NYL’s CEO has expressed that he wants the company to be a leader in generative AI in our industry. Hence, this leader has to opportunity to help build out that vision and with it their responsibility. Since not every data science project may require generative AI, expert-level familiarity with regular statistical predictive modeling methodologies and practice is also essential
Requirements: Graduate-level degree with concentration in a quantitative discipline such as statistics, computer science, mathematics, economics, or similar; 8+ years of experience with predictive analytics using large and complex datasets; Substantial expertise in both parametric statistical modeling techniques (linear regression, GLM, survival analysis, time series, etc.) and non-parametric techniques (GBM, NN, NLP); Expertise in regularization techniques (Ridge, Lasso, elastic nets), variable selection techniques, feature creation (transformation, binning, high level categorical reduction, etc.), validation (holdouts, CV, bootstrap) and model performance measures (may need to create new ones)

Duties: Develop strategies for analysing and integrating data from multi-omics platforms based on state-of-the-art analytical methodologies; Relate multi-omics signatures with clinically relevant parameters; Ensure that omics data are available and reusable; Interpret, present, and publish results
Requirements: You must have completed a Norwegian doctoral degree or corresponding foreign doctoral degree recognized as equivalent to a Norwegian PhD in bioinformatics, statistics, systems biology, or an equivalent topic; Documented experience with data analysis in R, Python, or similar; Excellent written and oral English skills

Duties: Work closely with global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support data insights and analytical needs across products, markets, and services; The candidate for this position will focus on Building solutions using Machine Learning and creating actionable insights to support product optimization and sales enablement; Prototype new algorithms, experiment, evaluate and deliver actionable insights; Drive the evolution of products with an impact focused on data science and engineering; Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models
Requirements: A superior academic record at a leading university in Computer Science, Data Science, Technology, mathematics, statistics, or a related field or equivalent work experience; Minimum 5 years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis; Strong analytical skills with track record of translating data into compelling insights; Prior experience working in a product development role

Department: SIT - Sichere Informationstechnologie
Duties: Angewandte Forschungsprojekte im Bereich Cybersicherheit und Datenschutz; Mitarbeit in öffentlich geförderten und/oder direkt durch Industriepartner beauftragten Projekten; Konzeptentwicklung und Projektmanagementaufgaben; Anfertigen von Projektberichten und wissenschaftlichen Veröffentlichungen; Präsentation von Forschungsergebnissen im Rahmen von Publikationen und Vorträgen auf nationalen und internationalen Fachkonferenzen
Requirements: Master of Science im Fachgebiet Informatik oder einem anderen Fachgebiet mit Bezug zur Cybersicherheit; Wissen und Erfahrung im Bereich Cybersicherheit

Duties: Als Praktikant: in AI & Data Strategy (m/w/d) bist du Teil des Teams, dass mit der Entwicklung und Operationalisierung innovativer AI & Data Strategien die Grundlage für unsere Kunden schafft, echte „Data Driven Businesses“ zu werden.“
Requirements: Fortgeschrittenes Studium in (Wirtschafts-)Informatik, (Wirtschafts-)Ingenieurwesen, Naturwissenschaften, Wirtschaftswissenschaften mit Datenbezug oder in vergleichbaren Studiengängen ​; Erste berufliche Erfahrungen durch Praktika oder Werkstudententätigkeiten, idealerweise in einem der folgenden Bereiche wünschenswert: AI & Data Strategy, Data Governance, Data Architecture/Enterprise Architecture, Data Science oder digitale Geschäftsmodelle

Duties: Du kennst dich mit den Aspekten von Data Science und Smart Analytics aus. Die Aufgaben Datenintegration, -bereinigung, -analyse und -visualisierung sind dir aus der Praxis bekannt; Du kennst dich mit den Programmiersprachen, Konzepten und Methoden im Bereich des Themas Data Science aus und hast diese praktisch angewendet
Requirements: Du verfügst über eine Autismus-Diagnose oder bist in Abklärung dazu; Die Qualität deiner Arbeit hat für dich eine hohe Priorität; Du besitzt sehr gute Deutschkenntnisse in Wort und Schrift und gute Englischkenntnisse für den Berufsalltag

Duties: Als Senior Solution Manager (m/w/d) übernimmst du umfassende Verantwortung bei der Projektumsetzung, dem Architekturdesign und dem Teamauf- und -ausbau; und befasst dich inhaltlich mit Themen Cloud Transformation, Data Engineering, Data Management & Governance, Datenvisualisierung und Business Intelligence, Robotics und kognitive Prozessautomatisierung, AI, Machine Learning & Data
Requirements: Erfahrung (6+ Jahre) in der Industrie oder Unternehmensberatung; Mehrjährige Erfahrung in der Leitung grösserer Projekte bzw. der Steuerung und Entwicklung von Projektteams im Analytics-Umfeld

Duties: Zusammenarbeit mit Geschäftspartnern bei der Entwicklung neuer Wege zur Erreichung von Zielen unter Verwendung modernster Techniken und Tools; Effiziente Kommunikation des Analyseansatzes und der Art und Weise, wie die Ziele erreicht werden können, an die Geschäftspartner; Befürwortung und Aufklärung über den Wert datengestützter Entscheidungsfindung mit Schwerpunkt auf dem "Wie und Warum" der Problemlösung; Führen von Analyseansätzen, Integrieren der Arbeit in Anwendungen und Tools mit Dateningenieuren, Geschäftsleitern, Analysten und Entwicklern
Requirements: Akademischer Hintergrund in Datenwissenschaft, Informatik, Ingenieurwesen oder Statistik; Nachgewiesene Fähigkeiten im Bereich Data Science und gute Kenntnisse in Python oder R sowie im Schreiben komplexer SQL-Abfragen; Beherrschung des maschinellen Lernens zur Lösung von Clustering-, Klassifizierungs-, Regressions-, Anomalieerkennungs-, Simulations- und Optimierungsproblemen bei grossen Datensätzen; Nachgewiesene Fähigkeit, unterschiedliche interne und externe Datensätze zusammenzuführen und umzuwandeln, um neue Funktionen zu schaffen; Erfahrung mit Big-Data-Technologien (vorzugsweise Azure-Stack) und mit Datenvisualisierungstools bevorzugt, z. B. Tableau

Duties: Konzeption, Unterstützung und Steuerung von Projekten im Bereich Analytics, Machine Learning und künstliche Intelligenz; Umsetzung von datenbasierten "Proof-of-Concept" oder MVP-Systemen mit Fokus auf den Mehrwert für das Geschäft des Kunden; Konzeption, Design, Implementierung und Optimierung von prädiktiven statistischen Modellen, Analytics Applikationen und ML/AI Systemen sowie deren Integration in die Backend Systeme (u.a. mit Technologien für Text- und Bildverständnis, sowie Wissensrepräsentation)
Requirements: Abgeschlossene Ausbildung/abgeschlossenes Studium und einschlägige Berufserfahrung im Bereich Data Science/IT; Sicherer Umgang mit gängigen Data Science Tools in Python, praktische Erfahrung & Zertifizierung in mindestens einer Cloudtechnologie (AWS, Azure oder GCP); Sehr gute Kenntnisse in ML-/KI-Methoden (Probabilistische Ansätze, Kernel Methoden, Neuronale Netze & Deep Learning, Computer Vision, NLP & Large-scale Language Models, Generative AI, etc) sowie deren Containerisierung; Erfahrungen als Projektleiter: in oder Entwickler: in (Frontend, Backend oder Fullstack) in Data Science- & Big Data-Projekten; Ausgeprägte Beratungskompetenzen, Flexibilität sowie Kommunikationsfähigkeiten auf allen Ebenen; Fliessende Deutsch- und Englischkenntnisse

Duties: The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University of Luxembourg was founded in 2003 and is the only public university in the Grand Duchy of Luxembourg. Our strategic development areas are digital transformation, medicine and health, and sustainable and societal development
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Luxembourg automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: LISER's specific mission, in accordance with the Law of December 3, 2014 on Public Research Centers, is to: carry out basic and applied research activities in the social sciences with the aim of advancing knowledge, informing the actions of public authorities and socio-economic actors at the national and international level in relation to the social and economic fabric and spatial development as well as informing society
Requirements: We crawl all higher jobs in research, teaching and administration at LISER automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Duties: The University of Padua is one of Europe’s oldest and most prestigious seats of learning. As a multi-disciplinary institute of higher education, the University aims to provide its students with professional training and a solid cultural background. The qualification received from the University of Padua act as a symbol of the ambitious objectives respected and coveted by both students and employers alike
Requirements: We crawl all higher jobs in research, teaching and administration at Uni Padova automatically and post them at acad.jobs. Additional jobs can be found by clicking here. Many more institutions are listed in the left frame (online version), see "Search yourself at 8000 institutions"

Workload: 80-100%
Duties: Analyse and design automation solutions to improve development and release processes; Build and implement Linux based infrastructure/build pipelines to deploy Linux based applications; Configure and automate deployment of cloud environments using an infrastructure as code approach; Implement enterprise scale technology solutions featuring containerisation, event streaming, Low code and data ETL technologies; Ensure that systems are safe and secure against cybersecurity threats; Implement automated quality assurance processes; Work with software developers and software engineers to ensure that development follows established processes and deployments are successful and stable; Undertake system troubleshooting and issue investigation
Requirements: One to four years professional experience; Strong ethical behaviors and high integrity, which align with KPMG's vision and aspirations; Good knowledge of SQL, PowerBI and database concepts; Good knowledge of Git workflows; Willingness to learn and independent working style; Fluency in English; Nice to have: Experience in Linux operating system; Experience of Microsoft Azure

Duties: Develop new OCI services and features leveraging recent advances in generative AI, machine learning and deep learning; Evaluate and benchmark AI models including LLMs, perform inference testing, optimise models and monitor model performance in production; Collaborate with fellow technical leaders to ensure the successful and timely delivery of models and integration of services; Contribute to the architecture of generative AI, including data, model, training, and evaluation, employing best practices; Develop production code and advocate for the best coding and engineering practices; Participate in project planning, review, and retrospective sessions
Requirements: Demonstrated experience in designing and implementing scalable AI models for production; Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers; Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts; Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc

Duties: Serve as the senior technical leader within the team, providing guidance and best practices in machine learning to team members; Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms; Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution; Lead the creation of architectural decision records to document important decisions made regarding data processing and modeling; Collaborate closely with cross-functional teams to integrate data science into broader business strategies
Requirements: Background in the financial industry, providing a deep understanding of the sector's unique data challenges and effective solutions; Strong experience in Python or any other data science programming languages; Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics; Proficiency in big data technologies like Hadoop, Spark, or similar frameworks; Excellent skills in data visualization and interpretation

Duties: Work with multidisciplinary team of engineers, software developers, and technicians in the execution of complex research and development, design and programs in support of national security; Design, develop, integrate, test and deploy new signal processing capabilities in the areas of energy detection, channelization, signal recognition, signal demodulation/decoding & encoding/modulating, RF geolocation and electronic warfare; Work with a team of engineers, software development staff and technicians to create innovative solutions that include antenna arrays, RF processing hardware, and extensive software processing capabilities including application of machine learning techniques
Requirements: Requires a Bachelors in Electrical Engineering, Electrical and Computer Engineering, or Computer Engineering; Must be familiar with telecommunications and communications signal processing with understanding of radar system concepts and waveforms; Over-the-horizon radar (OTHR) processing experience; Proficiency with Linux and C/C++ required; Familiarity with Python and Matlab

Duties: Responsible for the design and implementation of a global-scale machine learning system for feeds, ads and search ranking models; Responsible for improving use-ability and flexibility of the machine learning infrastructure; Responsible for improving the workflow of model training and serving, data pipelines and resource management for the multi-tenancy machine learning systems; Responsible for designing and developing key components of ML infrastructure and mentoring interns; Support the production of scalable and optimised AI/machine learning (ML) models; Focus on building algorithms for the extraction, transformation and loading of large volumes of realtime, unstructured data to deploy AI/ML solutions from theoretical data science models
Requirements: B. Sc or higher degree in Computer Science or related fields from accredited and reputable institutions; Proficient in C/C++/Python, and have solid programming skills; Familiar with deep learning frameworks (TensorFlow/Pytorch); Experience in developing and deploying large-scale systems

Duties: Collaborate closely with product managers and other engineers to understand business priorities, frame machine learning problems, architect machine learning solutions; Build and productionize machine learning models including data preparation/processing pipelines, machine learning orchestrations, improvements of services performance and reliability and etc; Contribute and maintain the high quality of code base with tests that provide a high level of functional coverage as well as non-functional aspects with load testing, unit testing, integration testing, etc
Requirements: Bachelor’s degree in Computer Science, a similar technical field of study or equivalent practical experience. A PhD degree in Machine Learning or Deep Learning is a massive plus; 5+ years of industry experience in building production-grade machine learning systems with all aspects of model training, tuning, deploying, serving and monitoring. Industry Experience in applied ML in Ads is a massive plus; 3+ years of industry experience in software engineering roles and development experience in Python, Golang, Java, and/or other programming languages; Strong understanding in software engineering best practices

Duties: Design, develop, test, and deploy web applications and services using contemporary programming languages, frameworks, and tools for both front-end and back-end development; Develop products and prototypes in areas such as LLM (Large Language Model), NLP (Natural Language Processing), DL (Deep Learning), ML (Machine Learning), etc; Collaborate with partners and customers to deliver high-quality and cost-effective solutions; Lead the software production process; taking ownership of assigned features from inception to completion, including mockups, design documents/reviews, acceptance testing, and deployment
Requirements: BSc, MSc, or Ph.D. in Computer Engineering, Computer Science, or related fields; +3 years of hands-on experience in developing web applications across diverse industries; Proficiency in multiple programming languages such as Python, Java, and/or JavaScript, with knowledge of UI frameworks like ReactJS and Angular being advantageous; Demonstrate understanding of data structures, data modeling, and software architecture; Hands-on experience in web/cloud and mobile application development for AI and ML-based solutions

Duties: Utilize enterprise standards for data domains and data solutions, focusing on simplified integration and streamlined operational and analytical uses; Ensure there is clarity between ongoing projects, escalating when necessary, including direct collaboration with 84.51; Leverage innovative new technologies and approaches to renovate, extend, and transform the existing core data assets, including SQL-based, NoSQL-based, and Cloud-based data platforms; Define high-level migration plans to address the gaps between the current and future state; Contribute to the development of cost/benefit analysis for leadership to shape sound architectural decisions
Requirements: Bachelor's Degree in computer science, software engineering, or related field; 4+ years experience in the data development and principles including end-to-end design patterns; 4+ years proven track record of delivering large scale, high quality operational or analytical data systems; 4+ years successful and applicable experience building complex data solutions that have been successfully delivered to customers

Duties: Partner closely with Infrastructure Machine Learning Engineers to build systems designed to improve our extensive infrastructure; Help Infrastructure Machine Learning Engineers maintain and support existing systems; Use your experience supporting existing systems to inform how we can improve support processes to allow us to scale effectively; Help evangelize this work with the broader Algos and ML community at Netflix
Requirements: A strong coder with experience in Python and standard ML frameworks like PyTorch and TensorFlow. Experience with languages like Java or C++ is a plus; Some experience in implementing and productionizing models in large scale industrial settings is a plus; Familiarity with optimization models with standard frameworks/solvers (e.g., XPress, cvxpy, Gurobi); Familiarity with operational tooling for ML services (monitoring, alerting, etc.), and services for model hosting/serving