[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"seo-content-skill-sql-in":3,"job-search-\u002Fen-in\u002Fjobs-by-skill\u002Fsql?page=4":33,"skill-page-filters-\u002Fen-in\u002Fjobs-by-skill\u002Fsql?page=4":738,"featured-jobs-\u002Fen-in\u002Fjobs-by-skill\u002Fsql?page=4":939},{"image_path":4,"content_de":5,"content_en":18,"composite_key":31,"last_updated":32},"\u002Fimages\u002Fskill\u002Fsql.webp",{"tab1":6,"tab2":9,"tab3":12,"tab4":15},{"title":7,"content":8},"Bedeutung & Relevanz","SQL (Structured Query Language) spielt eine entscheidende Rolle in der indischen Finanzbranche, da es die Grundlage für effizientes Datenmanagement und -analyse bildet. In einem Land mit einem schnell wachsenden Finanzsektor wie [Indien](\u002Fsearch) ermöglicht SQL die Verarbeitung großer Datenmengen, die für [Finanzanalyse](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risikomanagement](\u002Fjobs-by-expertise\u002Frisk-management) und [Portfoliomanagement](\u002Fjobs-by-expertise\u002Fportfolio-management) unerlässlich sind. Unternehmen nutzen SQL, um Finanzdatenbanken zu verwalten, Transaktionen zu überwachen und Berichte für Compliance-Zwecke zu generieren. Die Fähigkeit, komplexe Abfragen zu erstellen, ist besonders wertvoll für die Integration von Marktdaten aus Plattformen wie Bloomberg und Refinitiv, die in der indischen Finanzwelt weit verbreitet sind. Mit der zunehmenden Digitalisierung gewinnt SQL an Bedeutung, um datengesteuerte Entscheidungen in Bereichen wie [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) und [Banking](\u002Fjobs-by-industry\u002Fbanking) zu unterstützen. Es fördert die Effizienz durch Automatisierung von Prozessen wie Datenvalidierung und Berichterstattung, was in einem wettbewerbsintensiven Markt wie Indien einen strategischen Vorteil bietet.",{"title":10,"content":11},"Top-Branchen & Standorte","In [Indien](\u002Fsearch) ist SQL in mehreren Schlüsselbranchen hochgefragt, darunter [Finanzdienstleistungen](\u002Fjobs-by-industry\u002Ffinancial-services), [Versicherungen](\u002Fjobs-by-industry\u002Finsurance) und [Asset Management](\u002Fjobs-by-industry\u002Fasset-management). Besonders in Städten wie Bengaluru, Pune und Mumbai, die als IT- und Finanzzentren gelten, wird SQL für Aufgaben wie Datenintegration, Client Reporting und Systemmigration eingesetzt. In Bengaluru, bekannt für seine Tech-Startups, nutzen Unternehmen SQL für [Finanzmodellierung](\u002Fjobs-by-expertise\u002Ffinancial-modeling) und die Verwaltung von [Finanzmärkten](\u002Fjobs-by-expertise\u002Ffinancial-markets). Pune hingegen konzentriert sich auf [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) in der Finanzbranche, wobei SQL zur Optimierung von Datenworkflows beiträgt. Mumbai, das Finanzkapital Indiens, setzt SQL intensiv in [Banking](\u002Fjobs-by-industry\u002Fbanking) und [Vermögensverwaltung](\u002Fjobs-by-industry\u002Fasset-management) ein, um Investmentdaten zu analysieren und regulatorische Anforderungen zu erfüllen. Diese Standorte bieten zahlreiche Möglichkeiten für Fachkräfte, die SQL in dynamischen Umgebungen anwenden möchten.",{"title":13,"content":14},"Gefragte Skills & Arbeitgeber","Führende Unternehmen in [Indien](\u002Fsearch) wie Apex Fund Services LLP, Allianz Insurance und CO_ANT-MUM Annet Technologies Mumbai LLP suchen nach SQL-Experten, um Schlüsselexpertisen wie Fund Administration, Application Support und Data Integration zu unterstützen. SQL wird hier für [Projektmanagement](\u002Fjobs-by-expertise\u002Fproject-management), Data Validation und die Verwaltung von Financial Instruments eingesetzt. Beispielsweise nutzt Apex Fund Services LLP SQL für NAV\u002FGAV-Berechnungen und Fund Reconciliation, während Allianz Insurance es für Risk Assessment und Compliance Monitoring in Versicherungsprodukten verwendet. Zusätzlich sind Kenntnisse in Agile Methodologies und Business Requirements Analysis gefragt, um SQL-basierte Lösungen in Systemen wie Geneva und Investran zu implementieren. Diese Arbeitgeber schätzen SQL-Fähigkeiten für die Automatisierung von Prozessen wie Fee Calculations und Break Resolution, was die Effizienz in der indischen Finanzlandschaft steigert.",{"title":16,"content":17},"Karriere & Entwicklung","Karrierewege mit SQL in [Indien](\u002Fsearch) reichen von Data Analysts bis zu IT-Spezialisten in der Finanzbranche. Um SQL zu erlernen, empfehlen sich Online-Kurse, praktische Projekte mit Tools wie [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) und [Python](\u002Fjobs-by-skill\u002Fpython) sowie Zertifizierungen in Datenbankmanagement. Verwandte IT-Skills wie ETL Tools, REST API und Cloud-Konfiguration mit AWS oder Azure ergänzen SQL-Kenntnisse und eröffnen Rollen in Data Analytics oder DevOps. In Indien können Fachkräfte SQL mit [Generative AI](\u002Fjobs-by-skill\u002Fgenerative-ai) kombinieren, um fortschrittliche Datenlösungen zu entwickeln, z.B. für [Prozessverbesserung](\u002Fjobs-by-expertise\u002Fprocess-improvement) oder System Integration. Typische Entwicklungsmöglichkeiten umfassen den Aufstieg zum Senior Data Engineer oder Project Manager, wobei Erfahrung in Agile Methodology und Tools wie Jira hilfreich ist. Durch kontinuierliches Lernen und Anwendung in realen Szenarien, wie Data Migration oder Financial Modeling, können Berufstätige in Indien ihre Karriere vorantreiben und von der hohen Nachfrage nach SQL-Experten profitieren.",{"tab1":19,"tab2":22,"tab3":25,"tab4":28},{"title":20,"content":21},"Strategic Importance","SQL (Structured Query Language) holds immense strategic importance in India's rapidly growing financial sector, serving as the backbone for data management, analysis, and decision-making processes. In a country where financial institutions handle massive volumes of transactional data daily, SQL enables efficient querying, manipulation, and extraction of critical information from complex databases. This skill is particularly crucial for roles involving [Financial Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), [Risk Management](\u002Fjobs-by-expertise\u002Frisk-management), and [Portfolio Management](\u002Fjobs-by-expertise\u002Fportfolio-management), where accurate data retrieval directly impacts investment strategies and regulatory compliance.\n\nWith India's financial services industry embracing digital transformation, SQL proficiency allows professionals to integrate data from multiple sources, perform [Data Validation](\u002Fjobs-by-expertise\u002Fdata-validation), and support [Process Automation](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The ability to write optimized SQL queries is essential for generating client reports, calculating NAV\u002FGAV for funds, and managing [Financial Markets](\u002Fjobs-by-expertise\u002Ffinancial-markets) data. As Indian companies increasingly adopt cloud-based solutions and advanced analytics, SQL remains a foundational skill that bridges traditional database management with modern [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics) requirements.",{"title":23,"content":24},"Top Industries & Locations","SQL expertise is in high demand across India's key financial hubs and specialized sectors. In major metropolitan centers like Bengaluru, Pune, and Mumbai, financial institutions actively seek SQL professionals to support their expanding operations. These cities host numerous [Banking](\u002Fjobs-by-industry\u002Fbanking) institutions, [Asset Management](\u002Fjobs-by-industry\u002Fasset-management) firms, and insurance companies that rely heavily on database management systems.\n\nThe [Financial Services](\u002Fjobs-by-industry\u002Ffinancial-services) sector, particularly fund administration and insurance services, represents the primary demand driver for SQL skills in India. Companies specializing in [Fund Administration](\u002Fjobs-by-industry\u002Ffund-administration) require SQL for managing investment data, performing reconciliations, and supporting [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) activities. The insurance industry utilizes SQL for policy administration, claims processing, and risk assessment. Additionally, the growing [Private Equity](\u002Fjobs-by-industry\u002Fprivate-equity) and real estate investment sectors in India depend on SQL for portfolio tracking, performance analysis, and regulatory reporting requirements.",{"title":26,"content":27},"In-Demand Skills & Employers","Leading financial institutions in India consistently seek professionals with SQL expertise combined with complementary technical and domain knowledge. Top employers like Apex Fund Services LLP, Allianz Insurance, and CO_ANT-MUM Annet Technologies Mumbai LLP require SQL specialists for roles involving [Data Integration](\u002Fjobs-by-expertise\u002Fdata-integration), [Client Reporting](\u002Fjobs-by-expertise\u002Fclient-reporting), and [System Migration](\u002Fjobs-by-expertise\u002Fsystem-migration).\n\nThese companies value SQL professionals who can demonstrate proficiency in [Financial Data Analysis](\u002Fjobs-by-expertise\u002Ffinancial-analysis), understand [Financial Instruments](\u002Fjobs-by-expertise\u002Ffinancial-instruments), and support [Process Improvement](\u002Fjobs-by-expertise\u002Fprocess-improvement) initiatives. The most sought-after expertise includes [Reference Data Management](\u002Fjobs-by-expertise\u002Freference-data-management), [Corporate Actions](\u002Fjobs-by-expertise\u002Fcorporate-actions) processing, and [Fund Reconciliation](\u002Fjobs-by-expertise\u002Ffund-reconciliation). SQL is particularly valuable when combined with knowledge of specialized financial systems like Geneva, Investran, and various [Accounting Systems](\u002Fjobs-by-industry\u002Faccounting). Professionals who can leverage SQL for [Automated Matching](\u002Fjobs-by-expertise\u002Fautomation-solutions) and [Exception Handling](\u002Fjobs-by-expertise\u002Fexception-handling) in financial operations are especially prized in the Indian market.",{"title":29,"content":30},"Career & Development","SQL opens diverse career pathways in India's financial technology landscape, ranging from database administration to advanced analytics roles. Entry-level professionals typically start as SQL Developers or Data Analysts, progressing to roles like Database Architect, Business Intelligence Analyst, or [Financial Modeling](\u002Fjobs-by-expertise\u002Ffinancial-modeling) Specialist. The skill serves as a foundation for transitioning into [Data Analytics](\u002Fjobs-by-expertise\u002Fdata-analytics), [Risk Assessment](\u002Fjobs-by-expertise\u002Frisk-assessment), and [Project Management](\u002Fjobs-by-expertise\u002Fproject-management) positions.\n\nTo enhance SQL capabilities, professionals should complement their skills with [Python](\u002Fjobs-by-skill\u002Fpython) for advanced data manipulation, [MS Excel](\u002Fjobs-by-skill\u002Fms-excel) for reporting, and ETL tools for data integration. Learning database management systems like Microsoft SQL Server and understanding [Agile Methodologies](\u002Fjobs-by-expertise\u002Fagile-methodologies) for development processes significantly boosts career prospects. Indian professionals can benefit from mastering [Data Visualization](\u002Fjobs-by-expertise\u002Fdata-visualization) tools like Power BI alongside SQL to create comprehensive business intelligence solutions. Continuous learning in areas like [Cloud Configuration](\u002Fjobs-by-skill\u002Fcloud-configuration) and [API Development](\u002Fjobs-by-skill\u002Fapi-development) ensures SQL remains relevant in India's evolving digital financial ecosystem, while certifications in database management and financial systems provide competitive advantages in the job market.","skill:sql:in","2026-08-17T09:01:39.116970+02:00",{"total":34,"jobs":35},229,[36,97,142,183,221,252,292,332,373,417,439,474,523,572,595,628,649,665,688,702],{"id":37,"slug":38,"title":39,"raw_title":40,"is_featured":41,"company":42,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":45,"processed_country_iso_code_gmaps":47,"processed_home_office":49,"processed_salary_min":50,"processed_salary_max":51,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":54,"processed_employment_types":56,"processed_it_skills":57,"processed_it_skills_labels":60,"processed_job_expertise_skills":77,"processed_job_expertise_skills_labels":79,"max_cpc":96,"actual_cpc":96},83086,"production-support-engineer-avp-f337-deutsche-india-private-limited-pune-branch","Production Support Engineer, AVP",null,false,{"name":43,"slug":44,"logo_url":40},"F337 Deutsche India Private Limited, Pune Branch","f337-deutsche-india-private-limited-pune-branch",[46],"Pune",[48],"IN","hybrid",3000000,5000000,"INR","estimated",[55],"FULL_TIME","permanent",{"sql":58,"heat":59,"java":59,"unix":58,"linux":58,"ibm mq":58,"oracle":58,"pl\u002Fsql":58,"remedy":59,"splunk":58,"ai tools":59,"bigquery":59,"control-m":59,"new relic":59,"itrs geneos":58,"apache kafka":58},3,2,[61,62,63,64,65,66,67,68,69,70,71,72,73,74,75,76],"Linux","Oracle","BigQuery","SQL","ITRS Geneos","Splunk","IBM MQ","Apache Kafka","Unix","PL\u002FSQL","Java","Control-M","New Relic","Remedy","Heat","AI tools",{"itil":58,"sdlc":58,"bcp testing":59,"monitoring tools":58,"unix diagnostics":58,"problem management":78,"production support":78,"run-book execution":58,"swift mt messaging":78,"incident management":78,"knowledge management":58,"iso 20022 mx messaging":78,"service level agreements":58,"global transaction banking":59,"middleware troubleshooting":58,"database performance tuning":58},4,[80,81,82,83,84,85,86,87,88,89,90,91,92,93,94,95],"Production Support","Incident Management","Problem Management","ITIL","SWIFT MT messaging","ISO 20022 MX messaging","Database performance tuning","Monitoring tools","Middleware troubleshooting","Unix diagnostics","SDLC","BCP testing","Knowledge management","Service Level Agreements","Global Transaction Banking","Run-book execution",1,{"id":98,"slug":99,"title":100,"raw_title":40,"is_featured":41,"company":101,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":105,"processed_country_iso_code_gmaps":107,"processed_home_office":108,"processed_salary_min":109,"processed_salary_max":110,"processed_salary_currency":111,"processed_salary_source":53,"processed_working_hours":112,"processed_employment_types":56,"processed_it_skills":113,"processed_it_skills_labels":114,"processed_job_expertise_skills":123,"processed_job_expertise_skills_labels":124,"max_cpc":96,"actual_cpc":96},71070,"db2-database-administrator1941-allianz-insurance","DB2 Database Administrator_1941",{"name":102,"slug":103,"logo_url":104},"Allianz Insurance","allianz-insurance","https:\u002F\u002Fcdn.phenompeople.com\u002FCareerConnectResources\u002FAISAIPGB\u002Fimages\u002FHeader-1706868786965.svg",[106],"Sindewahi",[48],"onsite",50000,70000,"EUR",[55],{"db2":78,"pl1":96,"sql":78,"perl":58,"unix":58,"cobol":96,"linux":58,"ansible":58,"ai tools":96,"shell scripting":58,"ibm data management console":58},[115,116,117,118,64,61,69,119,120,121,122],"DB2","Ansible","Shell Scripting","Perl","IBM Data Management Console","AI Tools","PL1","COBOL",{"automation":58,"database design":58,"troubleshooting":78,"event monitoring":58,"database security":58,"table compression":58,"vendor engagement":58,"storage management":58,"table partitioning":58,"database management":78,"database monitoring":78,"process improvement":58,"snapshot monitoring":58,"database upgrade planning":58,"i\u002Fo performance management":58,"database performance tuning":78,"database backup and recovery":78},[125,126,127,128,129,130,131,132,133,134,135,136,137,138,139,140,141],"Database Management","Database Backup and Recovery","Database Performance Tuning","Database Monitoring","Database Security","Database Design","Troubleshooting","Automation","Process Improvement","Storage Management","I\u002FO Performance Management","Table Partitioning","Table Compression","Event Monitoring","Snapshot Monitoring","Database Upgrade Planning","Vendor Engagement",{"id":143,"slug":144,"title":145,"raw_title":40,"is_featured":41,"company":146,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":149,"processed_country_iso_code_gmaps":151,"processed_home_office":108,"processed_salary_min":152,"processed_salary_max":153,"processed_salary_currency":154,"processed_salary_source":53,"processed_working_hours":155,"processed_employment_types":56,"processed_it_skills":156,"processed_it_skills_labels":157,"processed_job_expertise_skills":166,"processed_job_expertise_skills_labels":167,"max_cpc":96,"actual_cpc":96},69130,"avp-flow-ares-operations-india-private-limited","AVP, FLOW",{"name":147,"slug":148,"logo_url":40},"Ares Operations India Private Limited","ares-operations-india-private-limited",[150],"Mumbai",[48],120000,180000,"USD",[55],{"sql":58,"apis":58,"gems":58,"coupa":58,"dealcloud":58,"salesforce":58,"sharepoint":58,"xl connector":58,"power automate":58},[158,159,160,161,162,163,64,164,165],"Salesforce","DealCloud","Coupa","SharePoint","GEMS","APIs","XL Connector","Power Automate",{"scrum":78,"data analysis":78,"data reporting":78,"fund operations":58,"legal knowledge":58,"asset management":58,"data integration":78,"business analysis":78,"change management":78,"project management":78,"regression testing":78,"agile methodologies":78,"process improvement":78,"user acceptance testing":78,"ai use case implementation":78,"requirements documentation":78},[168,169,133,170,171,172,173,174,175,176,177,178,179,180,181,182],"Business Analysis","Project Management","Requirements Documentation","User Acceptance Testing","Regression Testing","Change Management","Data Analysis","Data Reporting","AI Use Case Implementation","Data Integration","Agile Methodologies","Scrum","Asset Management","Fund Operations","Legal Knowledge",{"id":184,"slug":185,"title":186,"raw_title":40,"is_featured":41,"company":187,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":190,"processed_country_iso_code_gmaps":192,"processed_home_office":49,"processed_salary_min":193,"processed_salary_max":152,"processed_salary_currency":194,"processed_salary_source":53,"processed_working_hours":195,"processed_employment_types":56,"processed_it_skills":196,"processed_it_skills_labels":197,"processed_job_expertise_skills":207,"processed_job_expertise_skills_labels":208,"max_cpc":96,"actual_cpc":96},75123,"product-manager-refinitiv-india-shared-services-private-limited","Product Manager",{"name":188,"slug":189,"logo_url":40},"Refinitiv India Shared Services Private Limited","refinitiv-india-shared-services-private-limited",[191],"Bengaluru",[48],80000,"GBP",[55],{"r":58,"aws":58,"etl":58,"sql":58,"xml":58,"apis":58,"json":58,"azure":58,"oracle":58,"python":58,"snowflake":58,"microsoft sql":58},[198,199,64,62,200,201,202,203,204,205,206,163],"Python","R","Microsoft SQL","AWS","Azure","Snowflake","ETL","JSON","XML",{"database design":78,"data warehousing":78,"investment cases":78,"business strategy":78,"client engagement":78,"cloud marketplaces":78,"product management":78,"project management":78,"cost-benefit analysis":78,"financial market data":78,"database administration":78,"logical data model design":78,"product lifecycle management":78,"licensing and data distribution":78},[209,169,210,211,212,213,214,215,216,217,130,218,219,220],"Product Management","Financial Market Data","Data Warehousing","Cloud Marketplaces","Business Strategy","Client Engagement","Product Lifecycle Management","Logical Data Model Design","Database Administration","Cost-Benefit Analysis","Licensing and Data Distribution","Investment Cases",{"id":222,"slug":223,"title":224,"raw_title":40,"is_featured":41,"company":225,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":228,"processed_country_iso_code_gmaps":230,"processed_home_office":108,"processed_salary_min":231,"processed_salary_max":232,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":233,"processed_employment_types":56,"processed_it_skills":234,"processed_it_skills_labels":235,"processed_job_expertise_skills":240,"processed_job_expertise_skills_labels":241,"max_cpc":96,"actual_cpc":96},75987,"analyst-gfcc-systems-testing-mufg-global-service-private-limited","Analyst- GFCC Systems Testing",{"name":226,"slug":227,"logo_url":40},"MUFG Global Service Private Limited","mufg-global-service-private-limited",[229],"Bangalore",[48],1200000,1800000,[55],{"sql":58,"python":58,"microsoft word":59,"microsoft excel":58,"microsoft access":59,"microsoft powerpoint":59},[64,198,236,237,238,239],"Microsoft Excel","Microsoft Access","Microsoft PowerPoint","Microsoft Word",{"auditing":58,"data analysis":58,"test planning":58,"systems testing":58,"bsa\u002Faml\u002Fsanctions":59,"defect management":58,"data flow diagrams":59,"system architecture":59,"data lineage analysis":58,"test case preparation":58,"financial crimes compliance":59},[242,174,243,244,245,246,247,248,249,250,251],"Systems Testing","Financial Crimes Compliance","BSA\u002FAML\u002FSanctions","Auditing","Data Lineage Analysis","Test Planning","Test Case Preparation","Defect Management","System Architecture","Data Flow Diagrams",{"id":253,"slug":254,"title":255,"raw_title":40,"is_featured":41,"company":256,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":259,"processed_country_iso_code_gmaps":261,"processed_home_office":108,"processed_salary_min":262,"processed_salary_max":263,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":264,"processed_employment_types":56,"processed_it_skills":265,"processed_it_skills_labels":266,"processed_job_expertise_skills":272,"processed_job_expertise_skills_labels":273,"max_cpc":96,"actual_cpc":96},78800,"senior-software-engineerdata-scientist-hartford-global-services-private-limited-2","Senior Software Engineer\u002FData Scientist",{"name":257,"slug":258,"logo_url":40},"Hartford Global Services Private Limited","hartford-global-services-private-limited",[260],"Hyderabad",[48],1500000,2500000,[55],{"git":58,"sql":78,"unix":58,"mlflow":58,"python":78,"azure ml":59,"sagemaker":59,"vertex ai":59},[198,64,267,69,268,269,270,271],"Git","MLflow","Vertex AI","SageMaker","Azure ML",{"llm":59,"rag":59,"gbms":78,"glms":78,"governance":58,"a\u002Fb testing":58,"segmentation":59,"generative ai":59,"data validation":58,"machine learning":78,"model evaluation":78,"model monitoring":58,"agentic workflows":59,"insurance pricing":59,"vendor management":58,"prompt engineering":59,"statistical modeling":78,"bias\u002Ffairness testing":59},[274,275,276,277,278,279,280,281,282,283,284,285,286,287,288,289,290,291],"Statistical Modeling","Machine Learning","GLMs","GBMs","Model Evaluation","Data Validation","Vendor Management","A\u002FB Testing","Model Monitoring","Governance","Insurance Pricing","Segmentation","Bias\u002FFairness Testing","Generative AI","LLM","RAG","Prompt Engineering","Agentic Workflows",{"id":293,"slug":294,"title":295,"raw_title":40,"is_featured":41,"company":296,"raw_hiringOrganization_logo_url":40,"processed_city_gmaps":297,"processed_country_iso_code_gmaps":298,"processed_home_office":108,"processed_salary_min":299,"processed_salary_max":300,"processed_salary_currency":52,"processed_salary_source":53,"processed_working_hours":301,"processed_employment_types":56,"processed_it_skills":302,"processed_it_skills_labels":303,"processed_job_expertise_skills":315,"processed_job_expertise_skills_labels":316,"max_cpc":96,"actual_cpc":96},78798,"ind-applied-ai-scientist-hartford-global-services-private-limited","IND Applied AI Scientist",{"name":257,"slug":258,"logo_url":40},[260],[48],2000000,3500000,[55],{"git":58,"sql":78,"unix":58,"numpy":78,"pandas":78,"python":78,"pytorch":58,"ratabase":59,"duck creek":59,"tensorflow":58,"aws bedrock":58,"scikit-learn":78,"aws sagemaker":58,"google vertex ai":58,"azure ai services":58},[198,304,305,306,64,307,308,267,69,309,310,311,312,313,314],"pandas","NumPy","scikit-learn","PyTorch","TensorFlow","Google Vertex AI","AWS SageMaker","AWS Bedrock","Azure AI Services","Duck Creek","Ratabase",{"nlp":78,"ocr":58,"rag":78,"embeddings":78,"a\u002Fb testing":78,"ai governance":58,"deep learning":78,"generative ai":78,"pii detection":58,"drift detection":78,"document parsing":58,"machine learning":78,"model deployment":78,"model evaluation":78,"model monitoring":78,"experiment design":78,"cloud ai platforms":58,"prompt engineering":78,"text normalization":58,"retrieval strategies":78,"statistical modeling":78,"production integration":78,"unstructured data processing":78},[274,275,317,278,282,318,281,319,320,321,322,323,324,325,287,326,327,290,289,328,329,330,331],"Deep Learning","Experiment Design","Drift Detection","Unstructured Data Processing","Document Parsing","OCR","Text Normalization","PII Detection","NLP","Embeddings","Retrieval Strategies","AI 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