operation engineer

software engineer

analytics engineer

engineering manager

field engineer

ai engineer

Rollic

<div>
 
 
 About Rollic
 
 
 
 
 
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, Knit Out,
 
 
 all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 AI Model Training &amp; Integration
 
 <ul>
 <li>
 Research, design, and integrate advanced AI models&mdash;including MCTS and AlphaGo-inspired agents&mdash;to predict level difficulty, and evaluate playability.
 </li>
 <li>
 Build and maintain gameplay AI agents that can play all levels, enabling automated playtesting, balancing, and progression tuning.
 </li>
 <li>
 Develop and optimize AI-driven level generation pipelines, using agent feedback and performance metrics to produce fun, scalable, and high-quality game content.
 </li>
 <li>
 Collaborate with game teams to translate AI outputs into actionable improvements that enhance the overall player experience and support data-driven game design.
 </li>
 </ul>
 
 
 
 
 Workflow Automation
 
 <ul>
 <li>
 Collaborate with developers and designers to identify processes that can be optimized or automated.
 </li>
 <li>
 Build and maintain efficient pipelines for integrating AI-driven features into development, testing, and deployment.
 </li>
 </ul>
 
 
 
 
 Tooling &amp; Collaboration
 
 <ul>
 <li>
 Work closely with cross-functional teams to implement AI solutions that improve game design, narrative, and overall player experience.
 </li>
 <li>
 Communicate AI concepts clearly to technical and non-technical stakeholders.
 </li>
 </ul>
 
 
 
 
 Continuous Learning &amp; Innovation
 
 <ul>
 <li>
 Stay informed about evolving LLM technologies and best practices.
 </li>
 <li>
 Experiment with new AI techniques to keep our workflow competitive and cutting-edge.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI, or a related field (or equivalent experience).
 </li>
 <li>
 Reinforcement Learning experience is a plus.
 </li>
 <li>
 Proficient in Python and C# or C++.
 </li>
 <li>
 Experience with Unity is a plus.
 </li>
 <li>
 Solid understanding of LLM fundamentals and how to apply them in real-world scenarios.
 </li>
 <li>
 Strong problem-solving abilities and a proactive mindset.
 </li>
 <li>
 Excellent communication and collaboration skills.
 </li>
 <li>
 A strong passion for gaming and emerging technologies.
 </li>
 </ul>
 
 
 
 
 Bonus Points
 
 <ul>
 <li>
 Gaming industry experience.
 </li>
 <li>
 Knowledge of DevOps, CI/CD, and cloud platforms.
 </li>
 <li>
 Open-source AI contributions or a robust AI portfolio.
 </li>
 </ul>
 
 
 
 
 
 Discover our perks and benefits:
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

AI Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

Turkcell

<div>
 
 Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 
 
 
 
 
 
 
 Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
 
 
 
 
 
 
 
 
 &Idot;nsan Odakl&inodot;l&inodot;k:
 
 E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 
 
 
 Yenilik:
 
 &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🚀
 
 
 
 
 M&uuml;kemmellik:
 
 Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
 
 🎯👌🏼
 
 
 
 
 &Idot;&scedil; Birli&gbreve;i:
 
 Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 
 
 
 M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
 
 M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 
 
 
 S&uuml;rd&uuml;r&uuml;lebilirlik:
 
 M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🌍
 
 
 
 
 
 
 
 
 Ne Bekliyoruz?
 
 
 
 <ul>
 <li>
 Tercihen Yaz&inodot;l&inodot;m M&uuml;hendisli&gbreve;i, Bilgisayar Bilimleri veya ilgili bir alanda Lisans veya Y&uuml;ksek Lisans derecesi olan,
 </li>
 <li>
 Backend veya platform m&uuml;hendisli&gbreve;i alan&inodot;nda en az 5 y&inodot;l yaz&inodot;l&inodot;m geli&scedil;tirme deneyimi olan,
 </li>
 <li>
 AI-assisted development konusunda tecr&uuml;beli
 </li>
 <li>
 Karma&scedil;&inodot;k, &ouml;l&ccedil;eklenebilir ve s&uuml;rd&uuml;r&uuml;lebilir da&gbreve;&inodot;t&inodot;k sistemleri tasarlama, mimarisini olu&scedil;turma ve uygulama konusunda yetenekli. Acil ihtiya&ccedil;lar&inodot; uzun vadeli geni&scedil;letilebilirlikle dengeleyen sa&gbreve;lam mimari kararlar verme konusunda deneyimli,
 </li>
 <li>
 Python yetkinli&gbreve;i, Java veya Go dillerinden birinde derin uzmanl&inodot;&gbreve;&inodot; olan,
 </li>
 <li>
 RESTful API'leri tasarlama, olu&scedil;turma ve geli&scedil;tirme konusunda g&uuml;&ccedil;l&uuml; deneyimi olan (gRPC deneyimi art&inodot;d&inodot;r).
 </li>
 <li>
 &Ccedil;e&scedil;itli veritaban&inodot; teknolojileri ile &ccedil;al&inodot;&scedil;ma deneyimi olan ve bunlar&inodot;n avantaj/dezavantajlar&inodot; hakk&inodot;nda yorum yapabilecek,
 </li>
 <li>
 Hizmetleri da&gbreve;&inodot;tmak ve y&ouml;netmek i&ccedil;in konteyner orkestrasyon sistemleri (&ouml;rn. Kubernetes) ile deneyimi olan,
 </li>
 <li>
 Veri yap&inodot;lar&inodot;, algoritmalar, e&scedil;zamanl&inodot;l&inodot;k (concurrency), otomatik testler (birim, entegrasyon) ve yaz&inodot;l&inodot;m tasar&inodot;m ilkeleri/desenleri hakk&inodot;nda derin anlay&inodot;&scedil;a sahip,
 </li>
 <li>
 Teknik tasar&inodot;mlar&inodot; ifade etme ve disiplinler aras&inodot;nda etkili bir &scedil;ekilde &ccedil;al&inodot;&scedil;ma becerisi ile m&uuml;kemmel ileti&scedil;im ve i&scedil;birli&gbreve;i becerilerine sahip,
 </li>
 <li>
 Pragmatik bir yakla&scedil;&inodot;mla g&uuml;&ccedil;l&uuml; analitik ve problem &ccedil;&ouml;zme becerileri olan,
 </li>
 </ul>
 
 
 
 
 Tercihen;
 
 
 
 
 
 &bull; Agentic AI Sistem Altyap&inodot;s&inodot;: Agentic (otonom) yapay zeka veya &ccedil;ok ad&inodot;ml&inodot; karar verme sistemlerini desteklemek i&ccedil;in altyap&inodot; veya platform tasarlama konusunda deneyimli bu konulara a&scedil;ina olan,
 
 
 &bull; LLM modellerini daha b&uuml;y&uuml;k yaz&inodot;l&inodot;m sistemlerine entegre etme ve operasyonelle&scedil;tirme zorluklar&inodot;na a&scedil;ina olan,
 
 
 &bull; Workflow management platform ve sistemati&gbreve;i konusunda bilgi sahibi,
 
 
 &bull; Veri i&scedil;leme veya ML i&scedil; ak&inodot;&scedil;lar&inodot;na yo&gbreve;un &scedil;ekilde hizmet veren veya bunlarla etkile&scedil;ime giren platformlar veya altyap&inodot;lar olu&scedil;turma deneyimi olan,
 
 
 &bull; Ak&inodot;&scedil; i&scedil;leme teknolojileri konusunda deneyimli olan (&ouml;rn. Kafka),
 
 
 &bull; Modern izleme ve g&ouml;zlemlenebilirlik y&inodot;&gbreve;&inodot;nlar&inodot;yla ilgili deneyim sahibi (&ouml;rn. Prometheus, Grafana, Datadog),
 
 
 &bull; B&uuml;y&uuml;k Dil Modellerini (LLM'ler) ve uygulama entegrasyon kal&inodot;plar&inodot;n&inodot; anlayabilen,
 
 
 
 
 
 
 
 Turkcell'de "Senior AI Software Engineer" Rol&uuml; Ne Yapar?
 
 
 
 <ul>
 <li>
 &Ouml;l&ccedil;eklenebilirlik, g&uuml;venilirlik, s&uuml;rd&uuml;r&uuml;lebilirlik ve feature development h&inodot;z&inodot;n&inodot; desteklemek i&ccedil;in geni&scedil;letilebilirli&gbreve;e odaklanarak temel backend sistemlerinin, hizmetlerinin ve API'lerinin tasar&inodot;m&inodot;na ve mimarisine liderlik eder,
 </li>
 <li>
 Python&rsquo;a ilave olarak Java veya Go dillerinden birini kullanarak y&uuml;ksek kaliteli, iyi test edilmi&scedil; ve verimli arka u&ccedil; hizmetleri olu&scedil;turur. Temiz kod, iyi tasar&inodot;m desenleri ve test edilebilirli&gbreve;i vurgular,
 </li>
 <li>
 Veri Bilimi/Ara&scedil;t&inodot;rma ekibimiz taraf&inodot;ndan geli&scedil;tirilen LLM / yapay zeka modelleriyle sorunsuz entegrasyon ve etkile&scedil;ime izin veren sa&gbreve;lam aray&uuml;zler, hizmetler ve veri hatlar&inodot; tasarlar ve olu&scedil;turur. Platformun model &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; etkin bir &scedil;ekilde t&uuml;ketebilmesini ve kullanabilmesini sa&gbreve;lar,
 </li>
 <li>
 Hedeflere ula&scedil;mak i&ccedil;in planlama yapabilen, ara&ccedil;lar&inodot; kullanabilen ve &ccedil;ok ad&inodot;ml&inodot; g&ouml;revleri y&uuml;r&uuml;tebilen Agentic AI sistemlerini m&uuml;mk&uuml;n k&inodot;lacak platform bile&scedil;enlerini ve altyap&inodot;s&inodot;n&inodot; tasarlar ve geli&scedil;tirir (&ouml;rne&gbreve;in, durum y&ouml;netimi, tool-calling mekanizmalar&inodot;, g&ouml;rev orkestrasyonu),
 </li>
 <li>
 &Ouml;nemli kullan&inodot;c&inodot; y&uuml;k&uuml;n&uuml; kald&inodot;rabilen ve yeni yapay zeka odakl&inodot; &ouml;zelliklerin ve &uuml;r&uuml;n iterasyonlar&inodot;n&inodot;n teslimini h&inodot;zland&inodot;rmak i&ccedil;in mod&uuml;lerlik ve net soyutlamalarla tasarlanm&inodot;&scedil; sistemler m&uuml;hendisli&gbreve;i yapar,
 </li>
 <li>
 Entegrasyon ve Kullan&inodot;c&inodot; Aray&uuml;z&uuml; Geli&scedil;tirme ekibimiz ve potansiyel olarak di&gbreve;er dahili/harici t&uuml;keticiler taraf&inodot;ndan kullan&inodot;lmak &uuml;zere temiz, iyi belgelenmi&scedil; ve performansl&inodot; API'ler tasarlar, olu&scedil;turur ve s&uuml;rd&uuml;r&uuml;r,
 </li>
 <li>
 Kararl&inodot;l&inodot;k, performans ve geli&scedil;tirici &uuml;retkenli&gbreve;ini sa&gbreve;lamak i&ccedil;in platform hizmetleri i&ccedil;in geli&scedil;tirme uygulamalar&inodot;n&inodot;, CI/CD yap&inodot;lar&inodot;n&inodot;, da&gbreve;&inodot;t&inodot;m stratejilerini ve izlemeyi iyile&scedil;tirmeye katk&inodot;da bulunur,
 </li>
 <li>
 Gereksinimleri anlamak ve b&uuml;t&uuml;nle&scedil;ik u&ccedil;tan uca &uuml;r&uuml;n &ouml;zellikleri sunmak i&ccedil;in Veri Bilimcileri, Ara&scedil;t&inodot;rmac&inodot;lar, di&gbreve;er Platform M&uuml;hendisleri ve Frontend / Entegrasyon M&uuml;hendisleri ile yak&inodot;n &ccedil;al&inodot;&scedil;&inodot;r,
 </li>
 <li>
 Di&gbreve;er m&uuml;hendislere teknik rehberlik ve mentorluk sa&gbreve;lar, kod kalitesi, mimari desenler ve m&uuml;hendislik uygulamalar&inodot; i&ccedil;in y&uuml;ksek standartlar&inodot; savunur,
 </li>
 <li>
 Performans darbo&gbreve;azlar&inodot;n&inodot;, g&uuml;venilirlik sorunlar&inodot;n&inodot;, mimari s&inodot;n&inodot;rlamalar&inodot; ve sistem tasar&inodot;m&inodot;n&inodot; ve geli&scedil;tirici deneyimini iyile&scedil;tirmek i&ccedil;in alanlar&inodot; s&uuml;rekli olarak belirler ve ele al&inodot;r.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 Yan Haklar ve Faydalar
 
 
 
 
 Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 
 
 
 
 
 
 *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
 
 
</div>

SENIOR AI SOFTWARE 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

SnA Consulting

<div>
 
 
 About Us
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 This position requires a combination of
 
 technical skills and research, communication, and presentation skills.
 
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university
 </li>
 <li>
 Up to 3 years of relevant experience in data engineering, analytics, or AI-related projects
 </li>
 <li>
 Strong knowledge of
 
 Python
 
 for data engineering, AI/ML development, and
 
 SQL
 
 </li>
 <li>
 Familiarity with
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, feature engineering, model evaluation)
 </li>
 <li>
 Basic understanding of
 
 AI/ML pipelines
 
 , including data preparation, training, inference, and monitoring
 </li>
 <li>
 Assertive, fast learner, highly organized, and curious about emerging
 
 AI and data technologies
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Knowledge of modern, cloud-based
 
 data and AI pipeline best practices
 
 </li>
 <li>
 Experience with
 
 large-scale data warehousing
 
 , data lake/lakehouse architectures, and data modeling
 </li>
 <li>
 Exposure to
 
 ML frameworks and libraries
 
 (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 such as experiment tracking, model versioning, and CI/CD for ML
 </li>
 <li>
 Experience with orchestration frameworks such as
 
 Apache Airflow
 
 or
 
 Argo Workflow
 
 </li>
 <li>
 Experience with one or more cloud environments (
 
 AWS / Azure / GCP
 
 ), including managed AI services
 </li>
 <li>
 Experience with
 
 LLM or Generative AI concepts
 
 (prompt engineering, embeddings, vector databases, RAG architectures)
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work closely with clients and internal consultants on
 
 data, analytics, and AI projects
 
 </li>
 <li>
 Design and build
 
 scalable data and AI pipelines
 
 across Cloud and On-Prem environments
 </li>
 <li>
 Support the development and deployment of
 
 AI/ML models
 
 by ensuring high-quality, well-governed data inputs
 </li>
 <li>
 Assist in the implementation of
 
 MLOps practices
 
 , including model deployment, monitoring, and performance tracking
 </li>
 <li>
 Research emerging
 
 AI, Generative AI, and data engineering technologies
 
 to continuously improve existing platforms and solutions
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Data & AI Engineering Consultant

Koc Finansman A.S.

<div>
 
 
 We are a consumer finance company with more than 120 employees which provides financing solutions to retail and corporate customers, focusing mainly on automotive sector. Ko&ccedil;finans was established in 1995 as Turkey's first and leading financing company. We specialize in offering innovative financing solutions, managing funding strategies, and ensuring smooth treasury and banking operations.
 
 
 
 We are on a mission to transform our ERP systems using AI technologies, driving smarter automation and data-driven decision-making across the organization. In this role, you&rsquo;ll be at the heart of integrating intelligent tools into complex software ecosystems, contributing to both development and innovation. You&rsquo;ll collaborate on R&amp;D initiatives, explore emerging trends, and help shape the future of enterprise solutions. If you're passionate about building AI-powered systems that make a real impact, we&rsquo;d love to meet you.
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Integrate and adapt AI models into existing software systems
 </li>
 <li>
 Contribute as a developer to the development and delivery of AI solutions
 </li>
 <li>
 Play an active role throughout the entire lifecycle of AI projects (design, development, testing, deployment)
 </li>
 <li>
 Develop innovative solutions by following emerging AI technologies and trends
 </li>
 <li>
 Be actively involved in Agentic AI projects
 </li>
 <li>
 Take an active role in R&amp;D projects by generating new ideas and building prototypes
 </li>
 <li>
 Tirelessly following and trying new developments in AI ecosystem
 </li>
 <li>
 Support as one the key stakeholder in business analysis phases
 </li>
 </ul>
 
 
 Qualifications
 
 
 <ul>
 <li>
 MS/BS in Computer Science/Engineering or a similar field
 </li>
 <li>
 At least 3 year professional experience in similar positions
 </li>
 <li>
 Experience with Java 8/17/21
 </li>
 <li>
 Having experience in Spring Boot, Restful APIs
 </li>
 <li>
 Having knowledge and experience in Python is a plus
 </li>
 <li>
 Working experience in React and Typescript
 </li>
 <li>
 Understanding of DevOps culture, familiarity with CI/CD tools and containerization
 </li>
 <li>
 Experience in log monitoring and troubleshooting
 
 
 with ELK stack (Elasticsearch, Kibana)
 </li>
 <li>
 OO skills, including design patterns and SOLID knowledge
 </li>
 <li>
 Experience in both relational and non-relational database systems like Oracle, Mongo
 </li>
 <li>
 Knowing messaging systems like Kafka/Rabbit MQ
 </li>
 <li>
 Experience in micro services architecture
 </li>
 <li>
 Ability to work in agile teams and hand in hand with business product teams
 </li>
 <li>
 Robust problem analysis and solving skills
 </li>
 <li>
 Having good communication, good documentation, business development, and presentation skills
 </li>
 <li>
 Familiarity with AI-assisted development tools such as GitHub Copilot, Claude AI, or similar
 </li>
 </ul>
 
 
 Why Join Us
 
 
 <ul>
 <li>
 Be part of a visionary team transforming ERP systems with intelligent, AI-powered solutions
 </li>
 <li>
 Thrive in a transparent, ego-free environment that values teamwork, creativity, and continuous learning
 </li>
 <li>
 Contribute to one of the largest digital transformation initiatives in the financial sector
 </li>
 <li>
 We empower our developers with modern AI tools (GitHub Copilot, Claude AI) to make coding faster, smarter, and more enjoyable.
 </li>
 <li>
 Be part of five star Certificated Agile Organization
 </li>
 <li>
 Be a part of Certificated Best Employer Company
 </li>
 </ul>
 
 
 
 
 
 &ldquo;6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye https://www.kocfinans.com.tr/tr/kariyer/kocfinansli-olmak adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.&rdquo;
 
 
</div>

Full-Stack Java & AI Developer

Prometeia

<div>
 
 
 Senior Data Scientist / Machine Learning Engineer
 
 
 
 
 
 
 Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
 
 
 Prometeia S.p.A, a leading provider of software solutions and consulting services for Risk Management, Financial Analysis, and Planning for financial institutions, is extending its capabilities with an experienced data science team in Turkey region and is looking for a senior candidate within the areas of Data Science and ML Engineering.
 
 
 Candidate will be placed in the team of Data Science and Artificial Intelligence (AI) with an entrepreneurship soul and a focus on not only financial institutions' digitalization processes but also cross-sectoral real-world applications of AI. The ideal candidate will have strong software engineering and leadership skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Build LLM and GenAI models validation methodologies specialized in Turkish and English.
 </li>
 <li>
 Facilitate integration of the resulting system/software into existing production environment.
 </li>
 <li>
 Collaborate closely with local and international data scientists, domain experts, and business stakeholders to translate analytical insights into production-ready solutions.
 </li>
 <li>
 Research, prototype, and implement state-of-the-art ML/DL algorithms (including LLMs and generative AI) in real-world data science problems.
 </li>
 <li>
 Lead the integration of resulting systems/software into existing production environments.
 </li>
 <li>
 Engage in applied research, co-author technical papers, and represent Prometeia at data science conferences or academic collaborations.
 </li>
 <li>
 Demonstrate agility to multitask and adopt new technologies in a dynamic, research-driven environment.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 2-3 years of academic and/or industry experience in Machine Learning.
 </li>
 <li>
 Proficiency and hands-on experience in Python programming.
 </li>
 <li>
 Practical experience with one or more of the following frameworks and libraries: pandas, scikit-learn, matplotlib, PySpark, PyTorch, transformers, NLTK, Spacy, langchain.
 </li>
 <li>
 Solid understanding of computer science fundamentals, including data structures, algorithms, runtime analysis, and object-oriented design patterns.
 </li>
 <li>
 Experience with Linux/Unix operating systems.
 </li>
 <li>
 Experience in NLP and Machine Learning scientific research, or similar experience in developing language technologies for shipping POCs.
 </li>
 <li>
 Familiarity with transformer-based models and deep learning
 </li>
 <li>
 Understanding of methods such as low-rank adaptation, quantization, distillation, retrieval augmented generation, agentic approaches, advanced prompting techniques and LLM-as-a-Judge
 </li>
 <li>
 Understanding of model evaluation
 </li>
 <li>
 Knowledge on dataset creation and annotation processes (nice-to-have)
 </li>
 <li>
 Knowledge on both SQL and NoSQL databases and vector databases
 </li>
 <li>
 Familiarity with LLM APIs (nice-to-have)
 </li>
 <li>
 Familiarity with cloud services like Azure (nice-to-have)
 </li>
 </ul>
 
 
 
 
 
 EDUCATION &amp; EXPERIENCE:
 
 
 <ul>
 <li>
 Having a Bsc., Msc. or having/pursing PhD. degree in Machine Learning, Deep Learning or related fields of Computer Science and Data Science
 </li>
 </ul>
 
 
 
 
 
 SOFT SKILLS:
 
 
 <ul>
 <li>
 Ability to effectively communicate complex analytical findings to both technical and non-technical audiences.
 </li>
 <li>
 Strong presentation and storytelling skills, with an emphasis on clear data visualization.
 </li>
 <li>
 Strong research and problem-solving skills.
 </li>
 <li>
 Proven team leadership and mentoring abilities, fostering collaboration and knowledge sharing within multidisciplinary teams.
 </li>
 <li>
 High attention to detail, structured problem-solving mindset, and accountability for project delivery.
 </li>
 <li>
 Excellent interpersonal skills, with the ability to coordinate across stakeholders and manage priorities in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 COMPENSATION, WELFARE &amp; BENEFIT
 
 
 
 Our history, as well as our future, is based on the value of our people. Prometeia&rsquo;s biggest investment is in our people and it concerns every aspect of professional life. We call it &ldquo;Total Compensation&rdquo; and it is made of three elements: Compensation, consisting of a fixed and a variable component, a Welfare Plan active since 2015 &ndash;we were among the first companies in Italy to introduce it&ndash;, and Benefits, including all initiatives for the well-being of our people.
 
 
 
 
 
 
 REMOTE WORKING
 
 
 
 Flexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work/life balance, impact on the environment and optimization of company results through autonomy and empowerment of people.
 
 
 
 
 
 
 PEOPLE PROGRAM
 
 
 
 Our evaluation system is based on the full enhancement of our people and on continuous dialogue as a stimulus for regular, mutual professional and personal growth. Within the projects, several moments are dedicated to transparent discussions between managers and team members. This allows for reciprocal and prompt feedback. The process is fully digitalized and aimed at continuously improving the strategic growth of both the individual and the company.
 
 
 
 
 
 
 TRAINING
 
 
 
 Prometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important and is made of immediate and direct confrontation with the market.
 
 
 
 
 
 
 WIN/WIN POLICY
 
 
 
 If you are one of our employees and you recommend a person who is later hired, you are entitled to a financial bonus! This is an important opportunity to contribute to the growth of Prometeia as a whole, by attracting acknowledged market professionals and new tech talents.
 
 
 
 
 
 
 PHYGITAL MANAGEMENT
 
 
 
 We have completely digitalized the management of our physical and virtual environments through the dedicated app Pr(Home)teia. Access to the office, remote working, workstations, meeting rooms, carpooling... everything is just a click away.
 
 
 
 
 
 
 COMMUNITY
 
 
 
 Our Community is highly diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities we actively cooperate with are stakeholders representing a great value for us in terms of trust and collaboration.
 
 
 
 
 
 
 DIVERSITY
 
 
 
 We promote and respect equal opportunities and consider differences as a value. Diversity &amp; Inclusion are fundamental values: from the recruitment phase to everyday life, promoted also through dedicated training moments to develop individual sensitivities and uniqueness.
 
 
 
 
 
 
 IMPACT
 
 
 
 We responsibly take an active role towards the environment, territories and communities we operate in. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards recognizing the efficiency of the building in terms of energy and water savings, CO2 emissions reduction, and improvement of the ecological quality of interiors, materials and resources. In the Sustainability Report we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, that we have been supporting since 2020.
 
 
 
</div>

Senior Data Scientist / Machine Learning Engineer

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