[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-search-\u002Fen-tr\u002Fjobs-by-skill\u002Fvector-databases":3,"seo-content-skill-vector-databases-tr":101,"skill-page-filters-\u002Fen-tr\u002Fjobs-by-skill\u002Fvector-databases":117,"featured-jobs-\u002Fen-tr\u002Fjobs-by-skill\u002Fvector-databases":251},{"total":4,"jobs":5},2,[6,65],{"id":7,"slug":8,"title":9,"raw_title":10,"is_featured":11,"company":12,"raw_hiringOrganization_logo_url":10,"processed_city_gmaps":15,"processed_country_iso_code_gmaps":17,"processed_home_office":19,"processed_salary_min":20,"processed_salary_max":21,"processed_salary_currency":22,"processed_salary_source":23,"processed_working_hours":24,"processed_employment_types":26,"processed_it_skills":27,"processed_it_skills_labels":30,"processed_job_expertise_skills":49,"processed_job_expertise_skills_labels":50,"max_cpc":64,"actual_cpc":64},84254,"senior-aillm-data-scientist-in-agentic-ai-ing-hubs-bv-turkiye-2","Senior AI\u002FLLM Data Scientist in Agentic AI",null,false,{"name":13,"slug":14,"logo_url":10},"ING Hubs B.V. 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As financial institutions increasingly adopt AI-driven solutions for fraud detection, real-time analytics, and personalized customer experiences, the ability to manage and query high-dimensional data efficiently is paramount. Vector Databases enable organizations to handle complex, unstructured data at scale, making them essential for modern data architectures. Professionals with this skill are in high demand, with 2 open positions currently listed. The median salary for such roles is TRY 100k, reflecting the premium placed on this expertise. Moreover, proficiency in complementary skills such as [Crewai](\u002Fen-tr\u002Fjobs-by-skill\u002Fcrewai), [Python](\u002Fen-tr\u002Fjobs-by-skill\u002Fpython), [Autogen](\u002Fen-tr\u002Fjobs-by-skill\u002Fautogen) further enhances career prospects, positioning candidates as versatile assets in the competitive Turkish job market.",{"title":107,"content":108},"Top Industries & Locations","Vector Database expertise is particularly sought after in Türkiye's leading financial hubs, with [Tuzla](\u002Fen-tr\u002Fjobs-in-tuzla), [Sarıyer](\u002Fen-tr\u002Fjobs-in-saryer) emerging as hotspots for innovation and employment. These cities host a concentration of companies leveraging advanced data technologies to gain a competitive edge. The industries driving the demand include [Banking](\u002Fen-tr\u002Fjobs-by-industry\u002Fbanking), [Financial Services](\u002Fen-tr\u002Fjobs-by-industry\u002Ffinancial-services), where real-time data processing and AI applications are critical. For instance, banking and financial services are integrating vector search for enhanced risk assessment and customer insights, while insurance companies utilize it for claims optimization. Professionals skilled in Vector Databases can find rewarding opportunities across these sectors, with roles ranging from data engineers to AI specialists. The geographic distribution of jobs underscores the importance of location in career planning, as certain regions offer more abundant prospects and higher salary potential.",{"title":110,"content":111},"In-Demand Skills & Employers","To excel in Vector Database roles in Türkiye, professionals must combine technical proficiency with domain expertise. Key areas of expertise that complement this skill include [Ai Agent Design](\u002Fen-tr\u002Fjobs-by-expertise\u002Fai-agent-design), [Matrix Management](\u002Fen-tr\u002Fjobs-by-expertise\u002Fmatrix-management), [People Management](\u002Fen-tr\u002Fjobs-by-expertise\u002Fpeople-management), which are critical for translating data insights into business value. Employers such as [ING Hubs B.V. Turkiye](\u002Fen-tr\u002Fcompany\u002Fing-hubs-bv-turkiye) are actively seeking candidates who can bridge the gap between advanced data technologies and strategic objectives. These organizations value individuals who not only understand the intricacies of vector indexing and similarity search but also possess strong analytical and problem-solving abilities. Additionally, familiarity with related tools and programming languages enhances employability. As the demand for AI-driven solutions grows, professionals who continuously update their skills and stay abreast of industry trends will be well-positioned to secure roles with leading employers and drive innovation in the Turkish financial landscape.",{"title":113,"content":114},"Career Path & Salary","A career focused on Vector Databases in Türkiye offers a promising trajectory with substantial financial rewards. Entry-level positions typically start at TRY 70k, while experienced professionals can earn up to TRY 100k. The median salary stands at TRY 100k, with a typical range of TRY 100k – TRY 100k depending on experience, location, and company size. Currently, there are 2 open positions, indicating a robust demand for this skill. Career progression often follows a path from data engineer to AI architect or data science lead, with opportunities to specialize in areas like natural language processing or recommendation systems. As Türkiye continues to invest in digital transformation, professionals with Vector Database expertise will find ample opportunities for growth, both in terms of responsibility and compensation. Continuous learning and certification in advanced data technologies can further accelerate career advancement.","skill:vector-databases:tr","2026-08-26T21:35:40.480213+02:00",{"industry":118,"employment_type":125,"expertise_skills":128,"it_skills":181,"salary_currency":246,"processed_working_hours":249},[119,122],{"key":120,"label":121,"count":4},"banking","Banking",{"key":123,"label":124,"count":64},"financial services","Financial Services",[126],{"key":26,"label":127,"count":4},"PERMANENT",[129,131,133,136,139,141,143,145,148,151,154,157,160,163,165,168,171,173,175,178],{"key":130,"label":96,"slug":130,"count":64},"data-science-craftsmanship",{"key":132,"label":97,"slug":132,"count":64},"business-translation",{"key":134,"label":135,"slug":134,"count":64},"natural-language-processing-nlp","Natural Language Processing (Nlp)",{"key":137,"label":138,"slug":137,"count":64},"ai-governance","Ai Governance",{"key":140,"label":95,"slug":140,"count":64},"matrix-management",{"key":142,"label":93,"slug":142,"count":64},"people-management",{"key":144,"label":99,"slug":144,"count":64},"productionization",{"key":146,"label":147,"slug":146,"count":64},"ai-evaluation","Ai Evaluation",{"key":149,"label":150,"slug":149,"count":64},"generative-ai","Generative Ai",{"key":152,"label":153,"slug":152,"count":64},"large-language-models-llms","Large Language Models (Llms)",{"key":155,"label":156,"slug":155,"count":64},"ai-agent-development","Ai Agent Development",{"key":158,"label":159,"slug":158,"count":64},"agentic-ai","Agentic Ai",{"key":161,"label":162,"slug":161,"count":64},"ai-in-regulated-environments","Ai In Regulated Environments",{"key":164,"label":51,"slug":164,"count":64},"data-science",{"key":166,"label":167,"slug":166,"count":64},"ai-monitoring","Ai Monitoring",{"key":169,"label":170,"slug":169,"count":64},"multi-agent-workflows","Multi-Agent Workflows",{"key":172,"label":52,"slug":172,"count":64},"machine-learning",{"key":174,"label":94,"slug":174,"count":64},"agile-organization-management",{"key":176,"label":177,"slug":176,"count":64},"ai-solution-deployment","Ai Solution Deployment",{"key":179,"label":180,"slug":179,"count":64},"ai-agent-design","Ai Agent Design",[182,184,187,190,192,195,198,201,203,205,207,210,213,216,219,222,225,227,230,233,236,238,240,243],{"key":183,"label":40,"slug":183,"count":4},"vector-databases",{"key":185,"label":186,"slug":185,"count":4},"openai-apis","Openai Apis",{"key":188,"label":189,"slug":188,"count":4},"crewai","Crewai",{"key":191,"label":34,"slug":191,"count":4},"semantic-kernel",{"key":193,"label":194,"slug":193,"count":4},"api-integration","Api Integration",{"key":196,"label":197,"slug":196,"count":4},"langgraph","Langgraph",{"key":199,"label":200,"slug":199,"count":4},"langchain","Langchain",{"key":202,"label":81,"slug":202,"count":4},"autogen",{"key":204,"label":47,"slug":204,"count":4},"workflow-orchestration",{"key":206,"label":31,"slug":206,"count":4},"python",{"key":208,"label":209,"slug":208,"count":64},"azure-ai","Azure Ai",{"key":211,"label":212,"slug":211,"count":64},"fine-tuning","Fine-Tuning",{"key":214,"label":215,"slug":214,"count":64},"embedding-based-search","Embedding-Based Search",{"key":217,"label":218,"slug":217,"count":64},"azure-ai-studio","Azure Ai Studio",{"key":220,"label":221,"slug":220,"count":64},"nlp","Nlp",{"key":223,"label":224,"slug":223,"count":64},"vertex-ai","Vertex Ai",{"key":226,"label":41,"slug":226,"count":64},"embeddings",{"key":228,"label":229,"slug":228,"count":64},"event-driven-patterns","Event-Driven Patterns",{"key":231,"label":232,"slug":231,"count":64},"retrieval-augmented-generation-rag","Retrieval-Augmented Generation (Rag)",{"key":234,"label":235,"slug":234,"count":64},"google-vertex-ai-agent-builder","Google Vertex Ai Agent Builder",{"key":237,"label":86,"slug":237,"count":64},"knowledge-stores",{"key":239,"label":90,"slug":239,"count":64},"safety-practices",{"key":241,"label":242,"slug":241,"count":64},"dags","Dags",{"key":244,"label":245,"slug":244,"count":64},"llm","Llm",[247,248],{"key":22,"label":22,"count":64},{"key":75,"label":75,"count":64},[250],{"key":25,"label":25,"count":4},{"total":252,"jobs":253},0,[]]