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Practice Lead - Data Science- Generative AI

Infosys

Practice Lead - Data Science- Generative AI

Infosys logo

Infosys

full-time

Posted: November 6, 2025

Number of Vacancies: 1

Job Description

Practice Lead - Data Science- Generative AI - Amsterdam Netherlands - Careers | Infosys English English French Portuguese Spanish Careers Explore Opportunities Explore Life At Infy Apply now Recruitment fraud alert Explore Opportunities Graduates Experienced Professionals Students/Internships Explore Opportunities by Location Explore Life At Infy About Us Our Culture Voices Infosys Careers Explore Opportunities Jobs in Netherlands Practice Lead - Data Science- Generative AI Practice Lead - Data Science- Generative AI Apply now Apply now You have successfully copied the job share URL to clipboard! × Job details Work Location Amsterdam State / Region / Province Noord-Holland Country Netherlands Domain Delivery Interest Group Infosys Limited Company ITL Netherlands Requisition ID 136597BR Job description Role – Practice Lead - Data ScienceTechnology – Generative AI, DevopsLocation – Amsterdam, NLCompensation – Competitive (including bonus)What are we looking for? Lead AI Engineer.We are looking for smart, self-driven, high-energy people with top notch communication skills, intellectual curiosity and passion for technology in the Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance and Insurance), strong business and technical acumen along with excellent soft skills.What do we require? To work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on the cloud. You can be an individual contributor or lead small teams depending on the project. You will be pivotal to understanding the requirement, problem definition and discovery of the overall solution. You will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components.Industry knowledge - Knows advanced concepts of machine learning, has deployed ML/AI solutions in the cloud, has a deep understanding of coding practices, knows how to guide teams on debugging issues, can connect the dots to arrive at a solution and is very good at presentation of the ideas, thoughts and solutions.Technical knowledge- has expertise in building and deploying AI solutions in the cloud with hands on coding experience in –•Python Programming - Expert and Experienced•DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum•Hands-On MS Azure/AWS/GCP Cloud knowledge•Experience in development of Information extraction pipelines (OCR, NLP, text/layout segmentation) using Open-source tools/Models (ex. tesseract, PaddleOCR, etc.) or Deep Neural Network (Yolo, Detectron, etc)•Experience in fine tuning of pretrained models (pytorch or tensorflow)•Experience in Data Modeling and Semantic search using sparse and dense indexes. Basic Understanding of LLM indexing tools and libraries (Langchain, LLamaindex, Haystack)•Experience in Microservices development, API backend development using FastAPI•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production.•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)•Guide team to debug issues with pipeline failures•Engage with Business / Stakeholders with status update on progress of development and issue fix•Automation, Technology and Process Improvement for the deployed projects•Setup Standards related to Coding, Pipelines and Documentation•Adhere to KPI / SLA for Pipeline Run, Execution•Research on new topics, services and enhancements in Cloud TechnologiesResponsible for successful delivery of Gen AI and Machine Learning solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.Assist clients with operationalization metrics to track performance of AI ModelsAgile trained to manage team effort and track through JIRAHigh Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.Education and Experience:•Domain experience in Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance or Insurance•Exposure to US or European overseas markets is preferredDomain / Technical / Tools Knowledge:•Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation•Proficiency with data analysis tools (e.g., SQL, R & Python), database concepts/reporting & Data Science concepts •Information extraction pipelines (OCR, NLP, text/layout segmentation) using Open-source tools/Models (ex. tesseract, PaddleOCR, etc.) or Deep Neural Network (Yolo, Detectron, etc)•Pretrained models (pytorch or tensorflow)•Data Modeling and Semantic search using sparse and dense indexes. LLM indexing tools and libraries (Langchain, LLamaindex, Haystack), RAG pipeline design and implementation•Microservices development, API backend development using FastAPI•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production.•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)•Experience designing and implementing ML Systems & pipelines, MLOps practices•Exposure to event driven orchestration, Online Model deployment•Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team•Experience in managing client relationship and developing business cases for opportunitiesWe are looking proactive and customer focused individual who has a great affinity towards various process innovations. The candidate will also play a significant role in refining our AI and MLOps services. The candidates should have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more competitive. We value intellectual curiosity, initiative and entrepreneurial drive! Candidates must be open to domestic and international travel as per requirements.OverviewInfosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. Apply now Share Company Navigate your next About us Careers Corporate Responsibility Investors Newsroom Alumni Subsidiaries EdgeVerve Systems Infosys BPM Infosys Consulting Infosys Public Services Programs Infosys Foundation Infosys Foundation USA Infosys Science Foundation Infosys Leadership Institute Support Terms of Use Privacy Statement Cookie Policy Safe Harbour Provision Trademarks Site Map Modern Slavery Statement Payment Guide for Suppliers Privacy Notice EMEA Connect with us Copyright © 2025 Infosys Limited Select Country/region Australia Austria Belgium Brazil Bulgaria Canada Chile China Costa Rica Croatia Czech Denmark Estonia Finland France Germany Hong Kong Hungary India Ireland Italy Japan Liechtenstein Latvia Lithuania Luxembourg Malaysia Mauritius Mexico New Zealand Norway Peru Philippines Poland Portugal Romania Russia Singapore Slovakia Slovenia South Africa South Korea Spain Sweden Switzerland Taiwan The Netherlands United Arab Emirates United Kingdom (UK) United States

Locations

  • Amsterdam, Netherlands

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

95,000 - 140,000 EUR / yearly

Source: ai estimated 2025

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Generative AIintermediate
  • DevOpsintermediate
  • Machine Learningintermediate
  • AIintermediate
  • Cloud Computingintermediate
  • Communication Skillsintermediate
  • Intellectual Curiosityintermediate
  • Domain Expertiseintermediate
  • Business Acumenintermediate
  • Technical Acumenintermediate
  • Soft Skillsintermediate
  • Problem Diagnosisintermediate
  • Solution Designintermediate
  • Solution Deploymentintermediate
  • Team Leadershipintermediate
  • Consultingintermediate

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Infosys logo

Practice Lead - Data Science- Generative AI

Infosys

Practice Lead - Data Science- Generative AI

Infosys logo

Infosys

full-time

Posted: November 6, 2025

Number of Vacancies: 1

Job Description

Practice Lead - Data Science- Generative AI - Amsterdam Netherlands - Careers | Infosys English English French Portuguese Spanish Careers Explore Opportunities Explore Life At Infy Apply now Recruitment fraud alert Explore Opportunities Graduates Experienced Professionals Students/Internships Explore Opportunities by Location Explore Life At Infy About Us Our Culture Voices Infosys Careers Explore Opportunities Jobs in Netherlands Practice Lead - Data Science- Generative AI Practice Lead - Data Science- Generative AI Apply now Apply now You have successfully copied the job share URL to clipboard! × Job details Work Location Amsterdam State / Region / Province Noord-Holland Country Netherlands Domain Delivery Interest Group Infosys Limited Company ITL Netherlands Requisition ID 136597BR Job description Role – Practice Lead - Data ScienceTechnology – Generative AI, DevopsLocation – Amsterdam, NLCompensation – Competitive (including bonus)What are we looking for? Lead AI Engineer.We are looking for smart, self-driven, high-energy people with top notch communication skills, intellectual curiosity and passion for technology in the Machine Learning Space. Our analysts have a blend of in-depth domain expertise in one or more areas (Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance and Insurance), strong business and technical acumen along with excellent soft skills.What do we require? To work with clients to understand the issues they face, diagnose problems, design solutions and facilitate solution deployment on the cloud. You can be an individual contributor or lead small teams depending on the project. You will be pivotal to understanding the requirement, problem definition and discovery of the overall solution. You will also have the opportunity to shape value-adding consulting solutions for clients by connecting various functions of cloud components.Industry knowledge - Knows advanced concepts of machine learning, has deployed ML/AI solutions in the cloud, has a deep understanding of coding practices, knows how to guide teams on debugging issues, can connect the dots to arrive at a solution and is very good at presentation of the ideas, thoughts and solutions.Technical knowledge- has expertise in building and deploying AI solutions in the cloud with hands on coding experience in –•Python Programming - Expert and Experienced•DevOps Working knowledge with implementation experience - 1 or 2 projects a minimum•Hands-On MS Azure/AWS/GCP Cloud knowledge•Experience in development of Information extraction pipelines (OCR, NLP, text/layout segmentation) using Open-source tools/Models (ex. tesseract, PaddleOCR, etc.) or Deep Neural Network (Yolo, Detectron, etc)•Experience in fine tuning of pretrained models (pytorch or tensorflow)•Experience in Data Modeling and Semantic search using sparse and dense indexes. Basic Understanding of LLM indexing tools and libraries (Langchain, LLamaindex, Haystack)•Experience in Microservices development, API backend development using FastAPI•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production.•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)•Guide team to debug issues with pipeline failures•Engage with Business / Stakeholders with status update on progress of development and issue fix•Automation, Technology and Process Improvement for the deployed projects•Setup Standards related to Coding, Pipelines and Documentation•Adhere to KPI / SLA for Pipeline Run, Execution•Research on new topics, services and enhancements in Cloud TechnologiesResponsible for successful delivery of Gen AI and Machine Learning solutions and services in client consulting environments; Define key business problems to be solved; formulate high level solution approaches and identify data to solve those problems, develop, analyze/draw conclusions and present to client.Assist clients with operationalization metrics to track performance of AI ModelsAgile trained to manage team effort and track through JIRAHigh Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.Education and Experience:•Domain experience in Retail, CPG, Logistics, Manufacturing, Life Sciences, Finance or Insurance•Exposure to US or European overseas markets is preferredDomain / Technical / Tools Knowledge:•Object oriented programming, coding standards, architecture & design patterns, Config management, Package Management, Logging, documentation•Proficiency with data analysis tools (e.g., SQL, R & Python), database concepts/reporting & Data Science concepts •Information extraction pipelines (OCR, NLP, text/layout segmentation) using Open-source tools/Models (ex. tesseract, PaddleOCR, etc.) or Deep Neural Network (Yolo, Detectron, etc)•Pretrained models (pytorch or tensorflow)•Data Modeling and Semantic search using sparse and dense indexes. LLM indexing tools and libraries (Langchain, LLamaindex, Haystack), RAG pipeline design and implementation•Microservices development, API backend development using FastAPI•MLOps (model/component dockerization, Kubernetes deployment) in multiple environments (AWS, AZURE, GCP). Operationalization of AI solutions to production.•Relational DB (SQL), Graph DB (Neo4j) and Vector DB (Pinecone, Weviate, Qdrant)•Experience designing and implementing ML Systems & pipelines, MLOps practices•Exposure to event driven orchestration, Online Model deployment•Hands on experience in working with client IT/Business teams in gathering business requirement and converting into requirement for development team•Experience in managing client relationship and developing business cases for opportunitiesWe are looking proactive and customer focused individual who has a great affinity towards various process innovations. The candidate will also play a significant role in refining our AI and MLOps services. The candidates should have prior relevant work experience, excel in ambiguous situations, and possess a passion for helping companies become more competitive. We value intellectual curiosity, initiative and entrepreneurial drive! Candidates must be open to domestic and international travel as per requirements.OverviewInfosys is a global leader in next-generation digital services and consulting. We enable clients in more than 50 countries to navigate their digital transformation.With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer our clients through their digital journey. We do it by enabling the enterprise with an AI-powered core that helps prioritize the execution of change. We also empower the business with agile digital at scale to deliver unprecedented levels of performance and customer delight. Our always-on learning agenda drives their continuous improvement through building and transferring digital skills, expertise, and ideas from our innovation ecosystem.All aspects of employment at Infosys are based on merit, competence and performance. We are committed to embracing diversity and creating an inclusive environment for all employees. Infosys is proud to be an equal opportunity employer. Apply now Share Company Navigate your next About us Careers Corporate Responsibility Investors Newsroom Alumni Subsidiaries EdgeVerve Systems Infosys BPM Infosys Consulting Infosys Public Services Programs Infosys Foundation Infosys Foundation USA Infosys Science Foundation Infosys Leadership Institute Support Terms of Use Privacy Statement Cookie Policy Safe Harbour Provision Trademarks Site Map Modern Slavery Statement Payment Guide for Suppliers Privacy Notice EMEA Connect with us Copyright © 2025 Infosys Limited Select Country/region Australia Austria Belgium Brazil Bulgaria Canada Chile China Costa Rica Croatia Czech Denmark Estonia Finland France Germany Hong Kong Hungary India Ireland Italy Japan Liechtenstein Latvia Lithuania Luxembourg Malaysia Mauritius Mexico New Zealand Norway Peru Philippines Poland Portugal Romania Russia Singapore Slovakia Slovenia South Africa South Korea Spain Sweden Switzerland Taiwan The Netherlands United Arab Emirates United Kingdom (UK) United States

Locations

  • Amsterdam, Netherlands

Salary

Salary not disclosed

Estimated Salary Rangehigh confidence

95,000 - 140,000 EUR / yearly

Source: ai estimated 2025

* This is an estimated range based on market data and may vary based on experience and qualifications.

Skills Required

  • Generative AIintermediate
  • DevOpsintermediate
  • Machine Learningintermediate
  • AIintermediate
  • Cloud Computingintermediate
  • Communication Skillsintermediate
  • Intellectual Curiosityintermediate
  • Domain Expertiseintermediate
  • Business Acumenintermediate
  • Technical Acumenintermediate
  • Soft Skillsintermediate
  • Problem Diagnosisintermediate
  • Solution Designintermediate
  • Solution Deploymentintermediate
  • Team Leadershipintermediate
  • Consultingintermediate

Target Your Resume for "Practice Lead - Data Science- Generative AI" , Infosys

Get personalized recommendations to optimize your resume specifically for Practice Lead - Data Science- Generative AI. Takes only 15 seconds!

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Skills matching & gap analysis
Experience alignment suggestions

Check Your ATS Score for "Practice Lead - Data Science- Generative AI" , Infosys

Find out how well your resume matches this job's requirements. Get comprehensive analysis including ATS compatibility, keyword matching, skill gaps, and personalized recommendations.

ATS compatibility check
Keyword optimization analysis
Skill matching & gap identification
Format & readability score

Tags & Categories

DeliveryNetherlands

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