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106 Treffer für Data Strategy Jobs in Erding im Umkreis von 30 km
As the AI Data Lead for the SAP-RPT model family, you will own our data assets, drive the strategy to grow the asset base and ensure best usability and highest value for our foundation model research & engineering teams. Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the ...
As the AI Data Lead for the SAP-RPT model family, you will own our data assets, drive the strategy to grow the asset base and ensure best usability and highest value for our foundation model research & engineering teams. Ownership of Data Assets & strategy: Own pre-training, evaluation, and meta-data including proprietary, open-source, and synthetic datasets. Our team's mission is to develop Foundation Models for structured data, starting with the launch and continued evolution of SAP-RPT-1. As the first generation of our relational model portfolio, SAP-RPT-1 represents our commitment to pioneering new research in a domain where SAP's expertise in enterprise data structures provides an unmatched competitive edge. We are looking for innovators to join us in this journey to develop next-generation models with even higher impact, bridging the gap between cutting-edge AI research and the ...
Design and implement production-grade AI solutions on SAP AI Foundation, covering data, models, APIs, front-end integration, agent-to-agent communication workflows * Hands-on experience with RAG architectures (chunking, embeddings, vector search, retrieval strategies) Data & Integration Skills * Proficiency in SAP BDC, including data product design, data integration, and use of Datasphere data in AI pipelines * Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications
Design and implement production-grade AI solutions on SAP AI Foundation, covering data, models, APIs, front-end integration, agent-to-agent communication workflows * Hands-on experience with RAG architectures (chunking, embeddings, vector search, retrieval strategies) Data & Integration Skills * Proficiency in SAP BDC, including data product design, data integration, and use of Datasphere data in AI pipelines * Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications
Noch nichts dabei? Es gibt 104 weitere Jobs, die zu deiner Suche passen könnten
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Senior Investment Strategist (m/f/d) - Global Rates, Macro & FX
Senior Investment Strategist (m/f/d) - Global Rates, Macro & FX
Allianz Investment Management SE
München
Teilweise Home-Office
The Group Investment Strategy function designs and implements global investment strategies for insurance portfolios in collaboration with Allianz' local investment managers. Working closely with the global Allianz Investment Management network, Group Economic Research, and asset managers, the strategy is tailored to the specific needs of each portfolio. In this role, you will report to the Global & Emerging Markets, conduct research, and develop strategies to drive sustainable performance. * Develop investment strategies aimed at optimizing risk-adjusted returns, accounting and risk KPIs * Support the implementation of AI solutions and data-driven analytics
The Group Investment Strategy function designs and implements global investment strategies for insurance portfolios in collaboration with Allianz' local investment managers. Working closely with the global Allianz Investment Management network, Group Economic Research, and asset managers, the strategy is tailored to the specific needs of each portfolio. In this role, you will report to the Global & Emerging Markets, conduct research, and develop strategies to drive sustainable performance. * Develop investment strategies aimed at optimizing risk-adjusted returns, accounting and risk KPIs * Support the implementation of AI solutions and data-driven analytics
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Investigate issues independently, trace data across systems, and propose solutions that elevate the quality of the SAP platform. * Support System Architecture Strategy: Be the main point of contact for SAP technology topics and support the ongoing design of our overall system architecture. * Understand and own the full data chain: From upstream automation tools (Make, APIs), through SAP processing to downstream analytics (DWH/SAC). Familiarity with data warehousing concepts and lowcode tools (Make) is a strong plus. * Highly analytical and data-driven, coupled with customer obsession and eagerness to work in a fast-paced and impact-driven environment.
Investigate issues independently, trace data across systems, and propose solutions that elevate the quality of the SAP platform. * Support System Architecture Strategy: Be the main point of contact for SAP technology topics and support the ongoing design of our overall system architecture. * Understand and own the full data chain: From upstream automation tools (Make, APIs), through SAP processing to downstream analytics (DWH/SAC). Familiarity with data warehousing concepts and lowcode tools (Make) is a strong plus. * Highly analytical and data-driven, coupled with customer obsession and eagerness to work in a fast-paced and impact-driven environment.
Ensure responsible AI practices (transparency, fairness, explainability, data privacy) in all solutions * Drive the SAP AI strategy and roadmap for our unit, identifying capability gaps and advancing them through hiring, training, and tooling investments * Proven ability to design integration architectures across SAP and non-SAP systems using Integration Suite, API Management, Event Mesh, and Data Intelligence * Deep familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Strong knowledge of agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) combined with SAP Data Intelligence and Datasphere for orchestrating data and AI pipelines * Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud
Ensure responsible AI practices (transparency, fairness, explainability, data privacy) in all solutions * Drive the SAP AI strategy and roadmap for our unit, identifying capability gaps and advancing them through hiring, training, and tooling investments * Proven ability to design integration architectures across SAP and non-SAP systems using Integration Suite, API Management, Event Mesh, and Data Intelligence * Deep familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Strong knowledge of agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) combined with SAP Data Intelligence and Datasphere for orchestrating data and AI pipelines * Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud
Ensure responsible AI practices (transparency, fairness, explainability, data privacy) in all solutions * Contribute to the SAP AI strategy and roadmap for our unit, identifying capability gaps and proposing solutions * Proven ability to design integration architectures across SAP and non-SAP systems using Integration Suite, API Management, Event Mesh, and Data Intelligence * Familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Solid knowledge of agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) combined with SAP Data Intelligence and Datasphere for orchestrating data and AI pipelines * Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud
Ensure responsible AI practices (transparency, fairness, explainability, data privacy) in all solutions * Contribute to the SAP AI strategy and roadmap for our unit, identifying capability gaps and proposing solutions * Proven ability to design integration architectures across SAP and non-SAP systems using Integration Suite, API Management, Event Mesh, and Data Intelligence * Familiarity with SAP data models and enterprise data architecture (e.g., S/4HANA, Datasphere) * Solid knowledge of agentic AI frameworks (e.g., LangChain, AutoGen, CrewAI) combined with SAP Data Intelligence and Datasphere for orchestrating data and AI pipelines * Understanding of AI/ML lifecycle management and data orchestration using SAP Data Intelligence Cloud
Design and implement production-grade AI solutions on SAP AI Foundation, covering data, models, APIs, front-end integration, agent-to-agent communication workflows * Hands-on experience with RAG architectures (chunking, embeddings, vector search, retrieval strategies) c) Data & Integration Skills * Proficiency in SAP BDC, including data product design, data integration, and use of Datasphere data in AI pipelines * Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications
Design and implement production-grade AI solutions on SAP AI Foundation, covering data, models, APIs, front-end integration, agent-to-agent communication workflows * Hands-on experience with RAG architectures (chunking, embeddings, vector search, retrieval strategies) c) Data & Integration Skills * Proficiency in SAP BDC, including data product design, data integration, and use of Datasphere data in AI pipelines * Experience with SAP OData services and RAP for exposing and consuming S/4HANA data in AI-enabled applications
In the Thematic and Policy Research team within Group Economic Research we aim to provide economic and industry insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and quantitative modeling. * Assist in the preparation, data collection, aggregation and analysis of research topics * Strong data management and analytical skills
In the Thematic and Policy Research team within Group Economic Research we aim to provide economic and industry insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and quantitative modeling. * Assist in the preparation, data collection, aggregation and analysis of research topics * Strong data management and analytical skills
In the Thematic and Policy Research team within Group Economic Research we aim to provide economic and industry insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and quantitative modeling. * Assist in the preparation, data collection, aggregation and analysis of research topics * Strong data management and analytical skills
In the Thematic and Policy Research team within Group Economic Research we aim to provide economic and industry insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and quantitative modeling. * Assist in the preparation, data collection, aggregation and analysis of research topics * Strong data management and analytical skills
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Schnelle Bewerbung
The successful candidate should not only understand clinical pharmacology, DMPK, PopPK, PBPK, PK/PD, ADME, and safety data, but also be able to interpret these data critically and translate them into clear development decisions. This person will act as a senior scientific and regulatory advisor to HMNC, helping the team decide what data are sufficient, what additional studies are truly needed, how to justify dose and study design decisions, and how to communicate these decisions credibly to authorities such as BfArM, EMA, FDA, and other national competent authorities. • Lead HMNC's clinical pharmacology and DMPK strategy across pipeline programs, ensuring alignment with clinical development, regulatory expectations, and future labeling considerations. • Interpret clinical and nonclinical pharmacology, PK, safety, exposure–response, and modeling data and translate them into ...
The successful candidate should not only understand clinical pharmacology, DMPK, PopPK, PBPK, PK/PD, ADME, and safety data, but also be able to interpret these data critically and translate them into clear development decisions. This person will act as a senior scientific and regulatory advisor to HMNC, helping the team decide what data are sufficient, what additional studies are truly needed, how to justify dose and study design decisions, and how to communicate these decisions credibly to authorities such as BfArM, EMA, FDA, and other national competent authorities. • Lead HMNC's clinical pharmacology and DMPK strategy across pipeline programs, ensuring alignment with clinical development, regulatory expectations, and future labeling considerations. • Interpret clinical and nonclinical pharmacology, PK, safety, exposure–response, and modeling data and translate them into ...
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Schnelle Bewerbung
You enjoy turning complex financial data into meaningful insights that support strategic decisions? * Ensure that the Group strategy is effectively embedded into financial planning activities across the organization
You enjoy turning complex financial data into meaningful insights that support strategic decisions? * Ensure that the Group strategy is effectively embedded into financial planning activities across the organization
Intern (m/f/d) in Macroeconomics and Capital Markets Research in Economic Research
Intern (m/f/d) in Macroeconomics and Capital Markets Research in Economic Research
Allianz Investment Management SE
München
The purpose of the Macroeconomics and Capital Markets Research team within Economic Research is to provide macroeconomic and market insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and valuation models.
The purpose of the Macroeconomics and Capital Markets Research team within Economic Research is to provide macroeconomic and market insights that help our clients define and implement their multi-asset mid-term investment strategy. Our recommendations are based on thorough analysis of economic data and capital market information, using fundamental analysis and valuation models.
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You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments. From system strategy to working prototype, this role is about designing the AI architecture for the AI-defined vehicle of tomorrow. * Furthermore, you stay close to the code: prototypes, evaluation pipelines, and data models take shape in your hands and are consistently tested against real-world product requirements. * University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
You define the AI system strategy for ADAS: model architectures, data flows, integration concepts: Grounded in methodological expertise and validated through technical feasibility assessments. From system strategy to working prototype, this role is about designing the AI architecture for the AI-defined vehicle of tomorrow. * Furthermore, you stay close to the code: prototypes, evaluation pipelines, and data models take shape in your hands and are consistently tested against real-world product requirements. * University degree in Computer Science, Data Science, AI, Mathematics, Physics, or comparable qualifications.
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The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. You'll be responsible for setting the strategy, planning, and execution of regional programmes, working closely with product marketing and sales teams to prioritise the opportunities that matter most. * Clear, data-backed reporting that ties marketing activity to business outcomes.
The company applies its underlying Intelligent System Design strategy to deliver software, hardware and IP that turn design concepts into reality. You'll be responsible for setting the strategy, planning, and execution of regional programmes, working closely with product marketing and sales teams to prioritise the opportunities that matter most. * Clear, data-backed reporting that ties marketing activity to business outcomes.
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As a Sales Development Representative (SDR), you are a vital engine of our growth strategy. * Salesforce Expert: You maintain data with precision, act as an internal Super-User for the Middle Europe team and actively share best practices within the EMEA SDR network.
As a Sales Development Representative (SDR), you are a vital engine of our growth strategy. * Salesforce Expert: You maintain data with precision, act as an internal Super-User for the Middle Europe team and actively share best practices within the EMEA SDR network.
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Software Developer Data Migration (all genders)
Software Developer Data Migration (all genders)
msg life ag
Hamburg, Ismaning (bei München), Köln, Leinfelden-Echterdingen (bei Stuttgart), München
Teilweise Home-Office
Schnelle Bewerbung
Wir suchen zum nächstmöglichen Zeitpunkt eine neue Mitarbeiterin oder einen neuen Mitarbeiter in Vollzeit oder Teilzeit als Software Developer Data Migration (all genders) * Die Analyse von Daten mit SQL und innovative Data Analytics Methoden mit Python gehören ebenfalls zu Deinen Aufgaben
Wir suchen zum nächstmöglichen Zeitpunkt eine neue Mitarbeiterin oder einen neuen Mitarbeiter in Vollzeit oder Teilzeit als Software Developer Data Migration (all genders) * Die Analyse von Daten mit SQL und innovative Data Analytics Methoden mit Python gehören ebenfalls zu Deinen Aufgaben
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Data Analyst / Business Spezialist SAP Materialstamm / Klassifizierung (w/m/d)
Data Analyst / Business Spezialist SAP Materialstamm / Klassifizierung (w/m/d)
HENSOLDT
Aalen, Oberkochen, Ulm, Immenstaad, Taufkirchen
Für den Bereich "Master Data Management" suchen wir am Standort Aalen, Oberkochen, Ulm, Immenstaad oder Taufkirchen zum nächstmöglichen Zeitpunkt eine*n - Der Bereich verantwortet konzernweit das Master Data Management. Diese Verantwortung umfasst neben der operativen Handhabung der querschnittlichen Enterprise Masterdaten auch die Data Governance und Data Quality, sowie der Einführung eines zentralen MDG im Rahmen des zentralen S4 HANA Programmes.
Für den Bereich "Master Data Management" suchen wir am Standort Aalen, Oberkochen, Ulm, Immenstaad oder Taufkirchen zum nächstmöglichen Zeitpunkt eine*n - Der Bereich verantwortet konzernweit das Master Data Management. Diese Verantwortung umfasst neben der operativen Handhabung der querschnittlichen Enterprise Masterdaten auch die Data Governance und Data Quality, sowie der Einführung eines zentralen MDG im Rahmen des zentralen S4 HANA Programmes.
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Schnelle Bewerbung
Als Data Intelligence Specialist bist du die Schlüsselperson, die aus Daten klare Insights macht. * Abgeschlossenes Studium im Bereich Data Science, Informatik, Mathematik, Statistik oder eine vergleichbare Qualifikation.
Als Data Intelligence Specialist bist du die Schlüsselperson, die aus Daten klare Insights macht. * Abgeschlossenes Studium im Bereich Data Science, Informatik, Mathematik, Statistik oder eine vergleichbare Qualifikation.
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Betreuung und Weiterentwicklung des Data Warehouse auf Basis von Microsoft Azure und Microsoft Fabric * Konzeption von IT-Anforderungen im Bereich Data Warehouse und Data Analytics in enger Zusammenarbeit mit relevanten Fachbereichen * Mehrjährige Berufserfahrung im Bereich Data Warehouse Management, idealerweise auch in der Textilbranche
Betreuung und Weiterentwicklung des Data Warehouse auf Basis von Microsoft Azure und Microsoft Fabric * Konzeption von IT-Anforderungen im Bereich Data Warehouse und Data Analytics in enger Zusammenarbeit mit relevanten Fachbereichen * Mehrjährige Berufserfahrung im Bereich Data Warehouse Management, idealerweise auch in der Textilbranche
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(Senior) Researcher (f/m/d) - Foundation and World Models on Structured Business Data
(Senior) Researcher (f/m/d) - Foundation and World Models on Structured Business Data
SAP SE
Garching bei München, DE, 85748
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Gain new insights by bringing together rich semantic context with large scale business data. Enable academic research by providing Business AI relevant problem statements, frameworks and data sets. Translate applied research breakthroughs into research publications at relevant top-tier conferences and contribute to thought leadership in foundation and world models on structured data.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Pioneer technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Gain new insights by bringing together rich semantic context with large scale business data. Enable academic research by providing Business AI relevant problem statements, frameworks and data sets. Translate applied research breakthroughs into research publications at relevant top-tier conferences and contribute to thought leadership in foundation and world models on structured data.
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Schnelle Bewerbung
Wir suchen zum nächstmöglichen Zeitpunkt einen Management Associate (m/w/d) – Strategy & Intelligence
Wir suchen zum nächstmöglichen Zeitpunkt einen Management Associate (m/w/d) – Strategy & Intelligence
Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data
Principal Researcher (f/m/d) - Foundation and World Models on Structured Business Data
SAP SE
Garching bei München, DE, 85748
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Expand the horizon of what is possible by bringing together rich semantic context with large scale business data Enable academic research by providing Business AI relevant problem statements, frameworks and data sets. Translate applied research breakthroughs into research publications at relevant top-tier conferences and contribute to thought leadership in foundation and world models on ...
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Expand the horizon of what is possible by bringing together rich semantic context with large scale business data Enable academic research by providing Business AI relevant problem statements, frameworks and data sets. Translate applied research breakthroughs into research publications at relevant top-tier conferences and contribute to thought leadership in foundation and world models on ...
Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
Lead Research Engineer (f/m/d): Foundation and World Models on Structured Data
SAP SE
Garching bei München, DE, 85748
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Define the data, training, and experimentation environment to enable scalable access to data and compute. Define and lead the creation of new training and benchmark datasets, bringing together rich semantic context with large scale business data. Execute scientific experiments on internal as well as public data.
At SAP's Business AI Research, we are exploring the next frontier of AI methods on structured business data – graphs, tables, time series, and more. Foundation Models on Structured Data, like SAP-RPT-1, have ushered in the GenAI era for business relevant scenarios – scenarios that have so far been addressed with classical, often tree-based methods. Contribute to pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems. Define the data, training, and experimentation environment to enable scalable access to data and compute. Define and lead the creation of new training and benchmark datasets, bringing together rich semantic context with large scale business data. Execute scientific experiments on internal as well as public data.
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Werkstudent - Data Analyst (m/w/d)
Werkstudent - Data Analyst (m/w/d)
Allianz Versicherungs-AG
Unterföhring bei München
Teilweise Home-Office
An unserem dynamischen und zukunftsorientierten Standort in Unterföhring freuen wir uns darauf, dich als engagierte:n Werkstudent:in im Bereich Data Analytics willkommen zu heißen. Das erwartet dich bei uns als Werkstudent Data Analyst (m/w/d) Das bringst du mit als Werkstudent Data Analyst (m/w/d)
An unserem dynamischen und zukunftsorientierten Standort in Unterföhring freuen wir uns darauf, dich als engagierte:n Werkstudent:in im Bereich Data Analytics willkommen zu heißen. Das erwartet dich bei uns als Werkstudent Data Analyst (m/w/d) Das bringst du mit als Werkstudent Data Analyst (m/w/d)
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We enable factories to think and act through software, data, and physical automation, and automate engineering and business workflows with AI. You'll consult industrial and business clients on automation and data challenges, then stay involved through delivery with an interdisciplinary team that designs and builds. * Design and build data & analytics platforms at scale, including data warehouses, RAG pipelines, and AI systems that go beyond standard LLMs – from PoC through to production, on cloud, on-premise, or edge * Design data architectures and data products for industrial and business environments, including the underlying infrastructure that makes them work reliably * Strong foundation in ML and data engineering, including designing real-world data architectures and data products
We enable factories to think and act through software, data, and physical automation, and automate engineering and business workflows with AI. You'll consult industrial and business clients on automation and data challenges, then stay involved through delivery with an interdisciplinary team that designs and builds. * Design and build data & analytics platforms at scale, including data warehouses, RAG pipelines, and AI systems that go beyond standard LLMs – from PoC through to production, on cloud, on-premise, or edge * Design data architectures and data products for industrial and business environments, including the underlying infrastructure that makes them work reliably * Strong foundation in ML and data engineering, including designing real-world data architectures and data products