process engineer

production engineer

project engineer

software engineer

application engineer

ai engineer

Turk Telekom

<div>
 
 &Idot;&scedil; Zekas&inodot; ve Veri Y&ouml;neti&scedil;im Direkt&ouml;rl&uuml;&gbreve;&uuml; b&uuml;nyesinde yer alan Analitik Platformlar &amp; Yapay Zeka Uygulamalar&inodot; M&uuml;d&uuml;rl&uuml;&gbreve;&uuml; i&ccedil;in, &Idot;stanbul lokasyonundaki ekibimizin &ccedil;al&inodot;&scedil;malar&inodot;na destek olacak
 
 Yapay Zeka M&uuml;hendisi (AI Engineer)
 
 ar&inodot;yoruz.
 
 
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;:
 
 
 
 <ul>
 <li>
 &Idot;&scedil; hedeflerimize uygun a&ccedil;&inodot;k kaynakl&inodot; b&uuml;y&uuml;k dil modellerini ara&scedil;t&inodot;rmak, de&gbreve;erlendirmek ve projelere entegre etmek,
 </li>
 <li>
 Kurum i&ccedil;i dok&uuml;manlar ve veri kaynaklar&inodot; &uuml;zerinde RAG tabanl&inodot; AI &ccedil;&ouml;z&uuml;mleri tasarlamak,
 </li>
 <li>
 Prompt engineering stratejileri geli&scedil;tirmek ve kullan&inodot;c&inodot; deneyimini iyile&scedil;tiren ak&inodot;ll&inodot; AI ajanlar&inodot; olu&scedil;turmak,
 </li>
 <li>
 LLM&rsquo;ler i&ccedil;in ince ayar (fine-tuning) ve adaptasyon &ccedil;al&inodot;&scedil;malar&inodot;na katk&inodot;da bulunmak,
 </li>
 <li>
 Modellerin performans&inodot;n&inodot; (do&gbreve;ruluk, h&inodot;z, maliyet) izlemek, iyile&scedil;tirmek ve s&uuml;rd&uuml;r&uuml;lebilir hale getirmek,
 </li>
 <li>
 MLOps ve altyap&inodot; ekipleriyle yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak modellerin &ouml;l&ccedil;eklenebilir ve g&uuml;venilir &scedil;ekilde production ortam&inodot;na da&gbreve;&inodot;t&inodot;m&inodot;n&inodot; sa&gbreve;lamak,
 </li>
 <li>
 LLM alan&inodot;ndaki en yeni ara&scedil;t&inodot;rmalar&inodot;, akademik &ccedil;al&inodot;&scedil;malar&inodot; ve end&uuml;stri trendlerini takip ederek projelere entegre etmek,
 </li>
 <li>
 OpenShift &uuml;zerinde AI uygulamalar&inodot; deploy etme deneyimli,
 </li>
 <li>
 LLM fine-tuning (full veya parameter-efficient), instruction tuning veya alignment (RLHF, DPO vb.) konular&inodot;nda deneyimli,
 </li>
 <li>
 MCP (Model Context Protocol) mimarisinde somut proje deneyimli,
 </li>
 <li>
 REST API geli&scedil;tirme deneyimi,
 </li>
 <li>
 Veri yap&inodot;lar&inodot;, algoritmalar, concurrency (e&scedil;zamanl&inodot;l&inodot;k), otomatik testler (birim, entegrasyon) ve yaz&inodot;l&inodot;m tasar&inodot;m ilkeleri/desenleri konusunda g&uuml;&ccedil;l&uuml; yaz&inodot;l&inodot;m m&uuml;hendisli&gbreve;i altyap&inodot;s&inodot;,
 </li>
 <li>
 Veri i&scedil;leme veya ML i&scedil; ak&inodot;&scedil;lar&inodot;na h&acirc;kimiyet,
 </li>
 <li>
 AI Ops / MLOps ara&ccedil;lar&inodot; hakk&inodot;nda bilgi sahibi olmak (MLflow, CI/CD, model versiyonlama),
 </li>
 <li>
 Monitoring &amp; Observability &ccedil;&ouml;z&uuml;mleriyle deneyim (Grafana, Prometheus vb.),
 </li>
 <li>
 GitHub&rsquo;da proje yay&inodot;nlam&inodot;&scedil; olmak ve LLM&rsquo;ler ile ilgili proje deneyimi.
 </li>
 </ul>
 
 
 
 
 
 
 Genel Nitelikler:
 
 
 
 <ul>
 <li>
 &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Yapay Zeka, Veri Bilimi veya ilgili m&uuml;hendislik b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Teknoloji takibi i&ccedil;in gerekli d&uuml;zeyde &Idot;ngilizce bilen,
 </li>
 <li>
 Analitik d&uuml;&scedil;&uuml;nce yetene&gbreve;ine sahip,
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n, insan ili&scedil;kileri kuvvetli ve kendini iyi ifade edebilen,
 </li>
 <li>
 B&uuml;y&uuml;k Dil Modelleri (LLM) ve Generative AI teknolojilerine ilgi ve temel deneyim (tez, staj, proje, ara&scedil;t&inodot;rma &ccedil;al&inodot;&scedil;malar&inodot;).
 </li>
 <li>
 Python&rsquo;a h&acirc;kim olmak ve pop&uuml;ler AI k&uuml;t&uuml;phaneleri (Transformers, Hugging Face, LangChain) hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 RAG (Retrieval-Augmented Generation) altyap&inodot;lar&inodot; hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 Vekt&ouml;r veritabanlar&inodot; (FAISS, Qdrant, Milvus vb.) ile &ccedil;al&inodot;&scedil;m&inodot;&scedil; olmak,
 </li>
 <li>
 LLM uygulama entegrasyon kal&inodot;plar&inodot;n&inodot; anlayabilmek,
 </li>
 <li>
 Full-stack entegrasyon bilgisine sahip olmak (frontend&ndash;backend entegrasyonu),
 </li>
 <li>
 &Idot;leri seviye prompting y&ouml;ntemleri hakk&inodot;nda (Chain-of-Thought, ReAct, Plan-and-Act vb.) ilgi ve deneyim sahibi olmak,
 </li>
 <li>
 SQL bilgisi ve veriyle &ccedil;al&inodot;&scedil;abilme yetkinli&gbreve;ine sahip olmak,
 </li>
 <li>
 Containerization teknolojileri (Docker, Kubernetes) konusunda deneyimli olmak,
 </li>
 <li>
 Merakl&inodot;, &ouml;&gbreve;renmeye a&ccedil;&inodot;k, tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na uygun olmak.
 </li>
 <li>
 Oracle veritaban&inodot; hakk&inodot;nda deneyimli, Veri Ambar&inodot; appliance olarak ExaData&rsquo;ya hakim.
 </li>
 </ul>
 
 
 
 
 
 &Ccedil;al&inodot;&scedil;an aday ayd&inodot;nlatma metnimiz i&ccedil;in:
 
 
 
 https://turktelekomkariyer.com.tr/yasal-politikalar/aydinlatma-metni/
 
</div>

Yapay Zeka Mühendisi (AI Engineer)

OREDATA

<div>
 
 OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
 
 
 Read more: https://medium.com/@oredata-engineering
 
 
 Apply and be part of our exciting journey!
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Design and Develop Agentic AI Systems: Architect, develop and deploy intelligent agent systems that exhibit autonomous decision-making and action-taking capabilities, leveraging large language models (LLMs) and other advanced AI techniques
 </li>
 <li>
 Data Analysis &amp; Predictive Modeling: Analyze and interpret large, complex datasets using advanced statistical techniques and machine learning algorithms. Develop and implement predictive models, including recommendation engines, to identify patterns, trends, and actionable insights
 </li>
 <li>
 Feature Engineering &amp; Data Orchestration: Lead the collection, cleaning, organization, and transformation of large, complex datasets from multiple sources into high-quality features for training and evaluating AI models
 </li>
 <li>
 System Integration &amp; Scalability: Build and maintain scalable software infrastructure and data pipelines required for AI/ML and agentic AI deployments. Ensure the seamless integration of AI agents with existing systems and workflows
 </li>
 <li>
 Cross-functional Collaboration &amp; Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand business needs, translate them into AI solutions, and present complex findings and data-driven results in a clear and concise manner to diverse audiences
 </li>
 <li>
 Innovation &amp; Research: Drive innovation in agentic AI methodologies, tools, and applications within the organization. Conduct research and experimentation with new generative AI and agentic techniques, staying abreast of the latest advancements in the field
 </li>
 <li>
 Performance Optimization &amp; Monitoring: Optimize agent workflows for reliability, safety and performance. Implement robust monitoring and evaluation frameworks for deployed AI agent systems
 </li>
 </ul>
 
 
 Requirements:
 
 
 <ul>
 <li>
 Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a relevant field
 </li>
 <li>
 Proven experience
 
 5 to 10 years
 
 in software development, with a strong focus on AI/ML engineering
 </li>
 <li>
 Demonstrated experience&nbsp; in building and deploying AI agent systems or similar autonomous systems
 </li>
 <li>
 Solid understanding of machine learning algorithms, statistical modeling and data analysis techniques
 </li>
 <li>
 Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
 </li>
 <li>
 Experience with prompt engineering and fine-tuning Large Language Models (LLMs)
 </li>
 <li>
 Strong problem-solving and analytical skills with an ability to translate complex data into actionable business strategies
 </li>
 <li>
 Excellent communication, presentation, and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders
 </li>
 </ul>
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience with cloud computing platforms, particularly Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with specific Agentic AI frameworks such as Google Cloud ADK (Agent Development Kit), CrewAI, LangChain etc
 </li>
 <li>
 Experience with MLOps principles and tools for model deployment and monitoring
 </li>
 <li>
 Knowledge of techniques for grounding generative models with external knowledge sources (e.g., Retrieval-Augmented Generation - RAG, Knowledge Graphs)
 </li>
 <li>
 Experience with multi-agent systems and orchestration
 </li>
 </ul>
 
 
 Get to know us
 
 
 
 If you want to know more about us and what we do, then visit our website: www.oredata.com
 
 
 
 Why Oredata?
 
 
 <ul>
 <li>
 Remote working and flexible time off
 </li>
 <li>
 Open communication, flexibility and start-up spirit
 </li>
 <li>
 Learning &amp; Development opportunities for both personal and professional growth
 </li>
 <li>
 Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)
 </li>
 <li>
 Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)
 </li>
 <li>
 Dynamic work ecosystem where you can take initiative and responsibility
 </li>
 <li>
 Opportunity to work on international projects
 </li>
 <li>
 Private Health Insurance
 </li>
 <li>
 Birthday Leave Policy
 </li>
 
 </ul>
 
 
 Ki&scedil;isel verileriniz i&scedil;e al&inodot;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&inodot;yla veri sorumlusu s&inodot;fat&inodot;yla &scedil;irketimiz Oredata Yaz&inodot;l&inodot;m A.&Scedil;. taraf&inodot;ndan i&scedil;lenecektir.
 
 Ki&scedil;isel verilerinizin i&scedil;lenmesi ve haklar&inodot;n&inodot;zla ilgili detayl&inodot; bilgiye https://oredata.com/personal-data-protection-policy/ ba&gbreve;lant&inodot;s&inodot; &uuml;zerinden ula&scedil;abilirsiniz.
 
 
 
</div>

Agentic AI Engineer

Luxoft

<div>
 
 
 Project description
 
 
 
 We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
 
 
 
 Responsibilities
 
 
 
 Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
 
 
 AIP &amp; AI Enablement:
 
 
 Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
 
 
 Ground agents and logic flows using RAG (retrieval&hyphen;augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
 
 
 Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
 
 
 Collaborate with senior engineers on agent design, instructions, and evaluation using AIP's native features.
 
 
 End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
 
 
 User Engagement: Provide training and support for business teams adopting Foundry and AIP.
 
 
 Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
 
 
 Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
 
 
 
 Skills
 
 
 
 Must have
 
 
 Required Qualifications:
 
 
 10+ years of overall experience as a Data and AI Engineer;
 
 
 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
 
 
 Strong technical skills in Python, PySpark, SQL, and data modelling.
 
 
 Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
 
 
 Ability to work independently and engage directly with non-technical business users.
 
 
 Strong problem-solving mindset and ownership of delivery.
 
 
 Preferred Qualifications:
 
 
 Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
 
 
 Exposure to AIP Evals and evaluation/test-driven approaches.
 
 
 Experience with integration patterns (APIs, MCP, cloud services).
 
 
 Consulting or applied AI/ML background.
 
 
 Experience in Abu Dhabi or the broader MENA region.
 
</div>

Palantir Foundry Engineer

IC HOLDİNG

<div>
 
 "1969 y&inodot;l&inodot;nda temelleri at&inodot;lan ve bug&uuml;n bir Holding &ccedil;at&inodot;s&inodot; alt&inodot;nda faaliyetlerini s&uuml;rd&uuml;ren IC &Idot;brahim &Ccedil;e&ccedil;en Yat&inodot;r&inodot;m Holding A.&Scedil;. (IC Holding) faaliyetlerini temelde &Idot;n&scedil;aat, Enerji &Uuml;retimi ve Da&gbreve;&inodot;t&inodot;m&inodot;, Turizm, Sanayi, Altyap&inodot; sekt&ouml;rlerinde s&uuml;rd&uuml;rmektedir. S&uuml;rekli b&uuml;y&uuml;yen ve geli&scedil;en kurumsal bir yap&inodot; i&ccedil;inde T&uuml;rkiye&rsquo;de faaliyetlerini s&uuml;rd&uuml;ren IC Holding son y&inodot;llarda ba&scedil;ta Rusya, Orta Do&gbreve;u, Orta Asya ve Avrupa gibi D&uuml;nyan&inodot;n &ccedil;e&scedil;itli b&ouml;lgelerinde, &ouml;zellikle nitelikli m&uuml;teahhitlik hizmetleri ve orta &ouml;l&ccedil;ekli sanayi grubu faaliyetleri olmak &uuml;zere bir&ccedil;ok proje ger&ccedil;ekle&scedil;tirmektedir."
 
 
 
 
 
 IC &Idot;brahim &Ccedil;e&ccedil;en Holding b&uuml;nyesinde g&ouml;revlendirilmek &uuml;zere a&scedil;a&gbreve;&inodot;daki &ouml;zelliklere sahip
 
 "Yapay Zeka Uzman&inodot;"
 
 aray&inodot;&scedil;&inodot;m&inodot;z bulunmaktad&inodot;r.
 
 
 
 
 
 
 Genel Nitelikler:
 
 
 
 
 
 <ul>
 <li>
 Yapay zeka, makine &ouml;&gbreve;renimi veya yaz&inodot;l&inodot;m geli&scedil;tirme alan&inodot;nda en az 2 y&inodot;l deneyimli,
 </li>
 <li>
 Tercihen &Uuml;niversitelerin M&uuml;hendislik b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Python, JavaScript/Node.js veya C# ile entegrasyon geli&scedil;tirme becerisine sahip,
 </li>
 <li>
 Azure OpenAI, OpenAI API gibi bulut tabanl&inodot; AI hizmetlerinde uygulama tecr&uuml;besi olan,
 </li>
 <li>
 Tercihen do&gbreve;al dil i&scedil;leme (NLP), niyet tespiti (intent detection) ve diyalog y&ouml;netimi (dialog management) alanlar&inodot;nda proje deneyimi,
 </li>
 <li>
 RESTful API&rsquo;ler ile &ccedil;al&inodot;&scedil;ma deneyimine sahip,
 </li>
 <li>
 Microsoft Copilot ve Azure AI Studio ile proje geli&scedil;tirmi&scedil;,
 </li>
 <li>
 LLM (Large Language Models) tabanl&inodot; &ccedil;&ouml;z&uuml;mler &uuml;zerinde &ccedil;al&inodot;&scedil;m&inodot;&scedil;,
 </li>
 <li>
 LangChain, LlamaIndex gibi modern AI framework'leri hakk&inodot;nda bilgi sahibi,
 </li>
 <li>
 Hugging Face Transformers ve benzeri a&ccedil;&inodot;k kaynakl&inodot; yapay zeka k&uuml;t&uuml;phanelerine ilgili,
 </li>
 <li>
 Agile/Scrum metodolojileriyle &ccedil;evik ekiplerde &ccedil;al&inodot;&scedil;ma deneyimi bulunan,
 </li>
 <li>
 &Idot;ngilizce teknik dok&uuml;mantasyonu okuyup anlayabilecek d&uuml;zeyde yeterlilik.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;:
 
 
 
 
 
 <ul>
 <li>
 Holding b&uuml;nyesindeki &scedil;irketler i&ccedil;in Microsoft Copilot ve Azure AI &ccedil;&ouml;z&uuml;mleri geli&scedil;tirmek,
 </li>
 <li>
 Chatbot ve dijital asistan projelerinin mimarisini olu&scedil;turmak, geli&scedil;tirmek ve optimize etmek,
 </li>
 <li>
 OpenAI, Azure OpenAI gibi LLM temelli modelleri entegre etmek ve &ouml;zelle&scedil;tirmek,
 </li>
 <li>
 Prompt engineering, RAG (Retrieval Augmented Generation) ve model se&ccedil;imi s&uuml;re&ccedil;lerinde aktif rol almak,
 </li>
 <li>
 &Idot;&scedil; ihtiya&ccedil;lar&inodot;na y&ouml;nelik AI Agent mimarileri geli&scedil;tirmek, &ouml;zelle&scedil;tirilmi&scedil; &ccedil;&ouml;z&uuml;mler &uuml;retmek,
 </li>
 <li>
 &Uuml;r&uuml;n ve proje ekipleriyle i&scedil; birli&gbreve;i yaparak AI tabanl&inodot; &ouml;zelliklerin hayata ge&ccedil;irilmesini sa&gbreve;lamak,
 </li>
 <li>
 Yeni nesil AI ara&ccedil;lar&inodot;n&inodot; ve framework&rsquo;lerini (LangChain, LlamaIndex vb.) yak&inodot;ndan takip etmek,
 </li>
 <li>
 Yenilik&ccedil;i teknolojileri pilot projelerle test etmek, kurum i&ccedil;in uygulanabilirli&gbreve;ini de&gbreve;erlendirmek,
 </li>
 <li>
 Geli&scedil;tirilen yapay zeka &ccedil;&ouml;z&uuml;mlerinin performans analizlerini ger&ccedil;ekle&scedil;tirmek ve iyile&scedil;tirmek,
 </li>
 <li>
 Projeler kapsam&inodot;nda gerekli olan teknik dok&uuml;mantasyonu haz&inodot;rlamak ve g&uuml;ncel tutmak.
 </li>
 </ul>
 
 
</div>

Yapay Zeka Uzmanı

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Responsibilities:<ul>
<li>
Lead the design and architecture of scalable AI and ML solutions across cloud and on-prem environments.</li>
<li>Translate business challenges into AI-based solutions, guiding presales discussions and aligning proposals with KPIs.</li>
<li>Collaborate with cross-functional teams to integrate AI components into existing enterprise systems.</li>
<li>Provide technical guidance to delivery teams, helping data scientists and engineers with model development, deployment, and lifecycle management</li>
<li>Evaluate emerging AI technologies and tools, contributing to the company&rsquo;s AI roadmap and standards.</li>
<li>Ensure compliance with data governance, security, and ethical AI principles.</li>
<li>Present technical concepts to non-technical stakeholders in a clear and structured manner, especially during client engagements and presales activities.</li>
</ul>
Requirements:<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li>
<li>7&ndash;15 years of experience in Traditional ML/Generative A</li>
<li>Proven experience designing and deploying ML models in production (e.g., using TensorFlow, PyTorch, or scikit-learn).</li>
<li>Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps frameworks (Kubeflow, MLflow, SageMaker, etc.).</li>
<li>Strong data engineering skills, including SQL, data modeling, ETL/ELT processes, and experience with cloud data platforms (BigQuery, Redshift, Snowflake, etc.).</li>
<li>Solid understanding of APIs, microservices, and event-driven architectures.</li>
<li>Strong knowledge of LLMs, agentive AI, and vector databases is a plus</li>
<li>Excellent communication and presentation skills, with the ability to work across business and technical teams and drive presales/client discussions</li>
<li>Must be based in Istanbul or willing to relocate.</li>
</ul>
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?<ul>
<li>
Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<li>Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
</ul>
Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

AI Solution Architect

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz, veri sorumlusu Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Ayd&inodot;nlatma Metni&rsquo;ne
 
 https://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Data Scientist

Armut

<div>Armut / Homerun is a leading local services marketplace with over 700,000 professionals across 4,000 services and has seen over 1000% revenue growth in 5 years. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 5 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth with the new investment round of 15 Million &euro; and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: always putting our customers first, solving problems with data and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.</div>

Data & AI Solutions Specialist

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