security engineer

software engineer

electrical engineer

engineer

engineer-care team

ai engineer

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
 
 
</div>

AI Engineer

KKB Kredi Kayıt Bürosu

<div>
 
 As KKB, we have been the symbol of sustainable trust in financial life for more than 25 years.
 
 
 With the support of our competent human resources and innovative vision in the field of financial technologies, we develop products and services that are recognized as reference points.
 
 
 
 
 
 We are seeking a hands-on AI Engineer to design, build, and deploy cutting-edge artificial intelligence solutions. You will be responsible for the full lifecycle of AI applications, with a focus on Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and advanced generative models (model training, fine-tuning, evaluations, guardrails). The role also includes an applied research component: keeping up with the latest literature, experimenting with novel methods, and contributing to company research initiatives (including publishing and R&amp;D projects). You will join a team that bridges applied research and production systems.
 
 
 
 
 
 Would you like to be the newest member / a member of this qualified team that develops its business goals on a global scale in order to be an exemplary credit bureau to the world?
 
 
 
 
 
 
 What we look for:
 
 
 
 
 
 <ul>
 <li>
 Expert-level proficiency in
 
 Python
 
 and its core AI/ML libraries (PyTorch, HF Transformers, NumPy).
 </li>
 <li>
 Proven experience building solutions with
 
 vector databases
 
 (e.g., Qdrant, Weaviate, Pinecone, Chroma, Faiss, LanceDB, Qdrant).
 </li>
 <li>
 Deep understanding of LLMs,
 
 transformer architectures
 
 , fine-tuning and post-training methodologies. Experience with multi-modal models (vision, audio, etc.).
 </li>
 <li>
 Hands-on experience building
 
 agentic AI applications
 
 using frameworks like LangGraph, CrewAI, AutoGen, Pydantic AI or similar.
 </li>
 <li>
 Experience with
 
 AI safety
 
 , alignment, adversarial robustness.
 </li>
 <li>
 Experience developing and deploying
 
 RESTful APIs
 
 and microservices (e.g., using FastAPI).
 </li>
 <li>
 Solid software engineering practices (Git, CI/CD,testing, containerization, Docker).
 </li>
 <li>
 Data engineering skills required to build the
 
 data pipelines for AI
 
 applications.
 </li>
 <li>
 Familiarity with cloud services (Azure, GCP, AWS) for AI workloads.
 </li>
 <li>
 Preferably, B.S./M.S. in Computer Science, AI, or a related field.
 </li>
 <li>
 Preferably, Prior experience building
 
 agentic AI applications
 
 in real-world projects.
 </li>
 <li>
 Preferably, Experience with
 
 MLOps platforms
 
 (MLflow, Kubeflow, Vertex AI, SageMaker, or similar).
 </li>
 <li>
 Preferably, Proficiency with AI-powered coding tools (GitHub Copilot, Cursor, Claude Code, etc.).
 </li>
 <li>
 Preferably, Research background with publications or patents.
 </li>
 <li>
 Preferably, Contributions to
 
 open-source AI projects
 
 .
 </li>
 </ul>
 
 
 
 
 
 What your responsibilities will be:
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end AI applications and scalable API services (mainly in Python).
 </li>
 <li>
 Build and optimize
 
 RAG pipelines
 
 , leveraging vector databases (e.g., Qdrant, Weaviate, Pinecone, Faiss) and search/retrieval methods for high-performance systems. Optimize prompts for effective applications.
 </li>
 <li>
 Train, fine-tune, and post-train
 
 Large Language Models (LLMs)
 
 using methods such as LoRA, PEFT, DPO/PPO, and evaluate/optimize them for production use (quantization).
 </li>
 <li>
 Build and experiment with
 
 Agentic AI frameworks
 
 for reasoning, tool use, and multi-agent systems (e.g., LangGraph, CrewAI, AutoGen, Pydantic AI).
 </li>
 <li>
 Manage the AI model lifecycle, including MLOps, scaling, monitoring, containerization (Docker), and deployment on local or cloud infrastructure.
 </li>
 <li>
 Collaborate with infrastructure teams to productionize AI models.
 </li>
 <li>
 Perform applied research on state-of-the-art methods, contributing to publications, R&amp;D projects, and innovation initiatives.
 </li>
 <li>
 Collaborate with cross-functional teams to communicate technical concepts, understand requirements to prototype/build successful AI applications and productionize AI solutions.
 </li>
 </ul>
 
 
 
 
 
 What we offer:
 
 
 
 
 
 <ul>
 <li>
 We offer alternative working hours (08.00-17.00/09.00-18.00) that respond to today's needs and provide flexibility in managing your time,
 </li>
 <li>
 We care about you. For this reason, we are happy to provide you with a comfortable workspace as well as opportunities where you can improve yourself by acquiring new knowledge,
 </li>
 <li>
 We contribute to your career journey by providing unlimited training rights on platforms such as LinkedIn Learning, Pluralsight, covering the purchase of technical certificates and supporting your education in programs such as master's and doctoral programs,
 </li>
 <li>
 We know that learning and education continue for a lifetime and we bring together technical, professional and personal development training programs and development opportunities that we think can support you on your career path,
 </li>
 <li>
 With our social clubs, we support you to discover new hobbies and create a synergy with your teammates in a social environment,
 </li>
 <li>
 As an organization, we attach importance to employee volunteerism. All our employees can participate in social responsibility projects with non-governmental organizations under the umbrella of the KKB Volunteers Platform and we make a big difference with small acts of kindness,
 </li>
 <li>
 We care about your health; we offer you and your loved ones (spouse/children) a comprehensive health insurance package and title-independent life insurance coverage,
 </li>
 <li>
 We create a Corporate Contribution Private Pension plan for your future dreams,
 </li>
 <li>
 Considering their past seniority, we base our annual leave policy on their total seniority,
 </li>
 <li>
 Birthday leave and more awaits you!
 </li>
 </ul>
 
 
 
 
 For more information about us, please visit the link:
 
 
 https://www.kkb.com.tr/hakkimizda
 
 
 
 
 
 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.kkb.com.tr/kkb-calisan-adayi-kvkk-metni adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.
 
 
 
</div>

Senior 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

Dizayn VIP

<div>
 
 AI Software Engineer (Python)
 
 
 We are looking a
 
 AI Software Engineer (Python)
 
 &nbsp;to join our team and help developing LLM powered application, text and audiobased systems.
 
 DUTIES &amp; RESPONSIBILITIES
 
 
 
 You will be working on an AI-powered voice assistant platform with the following key responsibilities:
 
 
 
 
 <ul>
 <li>
 
 API Development &amp; Integration
 
 : Develop, deploy, and maintain robust REST and streaming APIs in Python for integration with enterprise systems and applications, ensuring secure, efficient, and well-documented endpoints that adhere to industry best practices.
 </li>
 <li>
 
 AI/ML Implementation
 
 : Design and implement deep learning models focused on NLP and audio processing for voice assistant capabilities, with hands-on experience in LLM integration and AI agent development.
 </li>
 <li>
 
 Cloud Infrastructure &amp; Deployment
 
 : Architect and deploy scalable solutions using Google Cloud Platform (GCP) with serverless deployment strategies, implementing efficient caching mechanisms and microservices architecture.
 </li>
 <li>
 
 System Design &amp; Database Management
 
 : Design robust system architectures with strong focus on MySQL database design, optimization, and management for enterprise-scale applications.
 </li>
 <li>
 
 Development Operations
 
 : Improve build and test systems to enhance development efficiency and reliability, managing complex repositories with Git/Git LFS best practices.
 </li>
 <li>
 
 Security &amp; Performance
 
 : Implement microservices security protocols and optimize system performance across distributed architectures.
 </li>
 </ul>
 
 
 
 
 
 REQUIRED QUALIFICATIONS
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Software Engineering, Computer Science, or related technical field
 </li>
 <li>
 
 3+ years of software development experience
 
 &nbsp;with substantial R&amp;D components in accomplished projects
 </li>
 <li>
 
 Proven experience developing enterprise applications
 
 &nbsp;with LLM integration and AI agent frameworks
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Advanced Python programming
 
 &nbsp;with strong Object-Oriented Programming principles
 </li>
 <li>
 
 Hands-on experience with deep learning frameworks
 
 &nbsp;(e.g., PyTorch)
 </li>
 <li>
 
 Enterprise-level experience with LLMs and AI agents
 
 &nbsp;in production environments
 </li>
 <li>
 
 Google Cloud Platform (GCP) expertise
 
 &nbsp;with serverless deployment experience
 </li>
 <li>
 
 System design and architecture
 
 &nbsp;for scalable, distributed systems
 </li>
 <li>
 
 Caching mechanisms
 
 &nbsp;implementation and optimization
 </li>
 <li>
 
 REST APIs and streaming APIs
 
 &nbsp;development and management
 </li>
 <li>
 
 Strong MySQL knowledge
 
 &nbsp;including database design, optimization, and management
 </li>
 <li>
 
 Vector databases experience
 
 &nbsp;with Chroma and Weaviate for AI applications
 </li>
 <li>
 
 RAG systems expertise
 
 &nbsp;including both basic and advanced Retrieval-Augmented Generation implementations
 </li>
 <li>
 Experience with large-scale data processing and storage solutions
 </li>
 <li>
 
 Advanced Git and Git LFS
 
 &nbsp;repository management and best practices
 </li>
 <li>
 
 Microservices security
 
 &nbsp;implementation and protocols
 </li>
 <li>
 
 Agile methodology
 
 &nbsp;and software development lifecycle expertise
 </li>
 <li>
 
 Excellent understanding of Data Structures &amp; Algorithms
 
 </li>
 <li>
 
 Software design patterns and principles
 
 </li>
 <li>
 
 API security and authentication best practices
 
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 
 Fluent in English
 
 &nbsp;and
 
 Turkish
 
 (written and verbal communication)
 </li>
 <li>
 
 Continuous learning mindset
 
 &nbsp;with enthusiasm for pursuing research and adopting new technologies
 </li>
 <li>
 
 Strong problem-solving abilities
 
 &nbsp;and analytical thinking
 </li>
 <li>
 
 Collaborative team player
 
 &nbsp;with excellent communication skills
 </li>
 </ul>
 
 
 
 
 About Us:
 
 <ul>
 <li>
 DizaynVip was incorporated in 1992 starting at a small space of 20 m2 but with a significant target of becoming a global trademark. Today, DizaynVip is a worldwide known trademark, leading its sector, with its experience of over 20 years, a 10,000 m2 factory and more than 170 professional staff. DizaynVip, going from strength to strength, was awarded &ldquo;The Best Quality Automobile Design Company of Europe&rdquo; in the organization of the International Brands Leadership Summit which is attended for and on behalf of the European countries and Turkey. Special design vehicles, manufactured by Turkish Engineers and technical specialists in Turkey, are preferred by many worldwide celebrities from bureaucrats to sportsmen, from artists to businessmen.
 </li>
 <li>
 DizaynVip develops software for automotive and other companies.
 </li>
 </ul>
</div>

AI Software Engineer(Python)

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

Prometeia

<div>
 
 
 Junior Data Scientist - AI &amp; Machine Learning
 
 
 
 
 
 
 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 offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
 
 
 Among the European leaders in Enterprise Risk Management and Wealth &amp; Asset Management solutions, Prometeia is looking for a motivated and curious part-time junior data scientist to join our AI &amp; Machine Learning team in Istanbul. The ideal candidate is passionate about learning how to use data to solve real-world problems in the finance domain. This role is designed for someone at the beginning of their data science career who wants to gain hands-on experience, make tangible contributions, and continue to grow their technical and analytical skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Support senior data scientists in the development of AI and machine learning models.
 </li>
 <li>
 Assist with data collection, cleaning, and exploration tasks.
 </li>
 <li>
 Contribute to feature engineering and model training using Python-based tools.
 </li>
 <li>
 Participate in testing and validating models under the guidance of senior team members.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and selection to enhance model performance.
 </li>
 <li>
 Participation in the preparation/review of simple prototypes/analytic components within more complex pipelines.
 </li>
 <li>
 Contribute to data labeling and annotation tasks, especially for text and language-based (NLP) datasets.
 </li>
 <li>
 Take part in research and experimentation to explore new data science methods and tools.
 </li>
 <li>
 Preparing and delivering technical presentations to clients and stakeholders to explain machine learning models, project outcomes, and analytical insights.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 Currently a junior or senior undergraduate student, or enrolled in a Master&rsquo;s program in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
 </li>
 <li>
 Knowledge of statistics, Machine Learning, and major clustering, classification, and regression algorithms.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL.
 </li>
 <li>
 Familiarity with Python libraries and tools for Machine Learning (numpy/pandas, scikit-learn) and scientific computing.
 </li>
 <li>
 Eagerness to learn and contribute in a team-oriented environment and attention to detail.
 </li>
 <li>
 Good communication and presentation skills in English.
 </li>
 </ul>
 
 
 
 
 
 NICE TO HAVE:
 
 
 <ul>
 <li>
 Experience with code versioning systems (git).
 </li>
 <li>
 Experience in data wrangling, cleaning, exploration, and feature extraction.
 </li>
 <li>
 Experience in consulting or working with clients is a plus.
 </li>
 <li>
 Experience in financial institutions is a plus.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 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.
 
 
 
 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.
 
 
 
 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>

Junior Data Scientist - AI & Machine Learning

Migros One

<div>
 
 
 Who are we?
 
 
 
 Our business is technology, food and retail. We are a young team that combines all resources with technology; Our goal is to provide an excellent e-commerce service to meet your needs. In short, you can call us Migros One. 😉
 
 
 
 
 
 Today, as a team that holds the
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate with the contributions of our employees we produce, learn and develop together. We rediscover our passion for our business every day and build Migros One culture together.
 
 
 
 
 
 
 Our Culture
 
 
 
 We are #ONE to create a better tomorrow for our community. Our way of working includes four core values that we strive to act:
 
 
 
 
 
 
 1. Take accountability with passion
 
 
 
 
 2. Drive innovation with curiosity
 
 
 
 
 3. Make a difference for our customers
 
 
 
 
 4. Create open communication
 
 
 
 
 
 
 We live these values every day and create an environment where everyone enjoys working. Our business culture based on trust, openness and innovation has been recognized with our
 
 &ldquo;Great Place To Work&rdquo;
 
 certificate!
 
 
 
 
 
 
 What Do We Do?
 
 
 
 As Migros One; We spread happiness in being the pioneer of innovation in the field of food and retail technology with our brands
 
 Migros Sanal Market, Migros Hemen, Migros Extra, Migros Yemek, Macroonline, Tazedirekt, Mion and Petimo!
 
 
 
 
 
 
 Our determination to find fast and effective solutions always keeps us one step ahead. Our team's passion and energy make their jobs enjoyable.
 
 
 
 
 
 Thanks to our people-oriented approach, we aim to create a more comfortable and practical world for everyone by using them all. We constantly strive to provide the best experience to our consumers and employees! As Migros One team, we get excited with every member of our team creating his/her own career story!
 
 
 
 
 
 If you would like to be a part of this visionary and tech-savvy e-commerce team, don&rsquo;t wait! Make your application!
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 who will be on our team!
 
 
 
 
 
 
 What will we expect from you?
 
 
 <ul>
 <li>
 2+ years of hands-on experience delivering end-to-end data science and machine learning solutions in production environments.
 </li>
 <li>
 Deep understanding of core data science concepts: data preprocessing, feature engineering, statistical modeling, and rigorous model evaluation.
 </li>
 <li>
 Advanced proficiency in Python, with a focus on writing efficient, maintainable, and production-level code.
 </li>
 <li>
 Commitment to best practices throughout the data science workflow, from exploration to deployment and monitoring.
 </li>
 <li>
 Strong proficiency in applying GenAI techniques&mdash;including RAG, LLM fine-tuning, and multi-agent workflows&mdash;to build scalable, business-impactful systems.
 </li>
 <li>
 Knowledge of deep learning methods is a plus.
 </li>
 <li>
 Familiarity with Docker for containerization and reproducible deployments is a plus.
 </li>
 <li>
 Experience developing solutions in the operations domain within e-commerce is a plus.
 </li>
 <li>
 Experience in the search domain is a plus.
 </li>
 <li>
 E-commerce platform experience, such as user analytics, recommendation systems, and A/B testing, is a plus.
 </li>
 <li>
 Strong team player with proven experience in collaborative, Agile/Scrum environments.
 </li>
 <li>
 Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, Data Science, or a related field, or equivalent practical experience.
 </li>
 </ul>
 
 
 
 
 
 What will you do?
 
 
 <ul>
 <li>
 You'll collaborate with cross-functional teams to design, build, and deploy innovative AI-driven features that enhance our e-commerce platform.
 </li>
 <li>
 You'll own the end-to-end data science workflow: from data preprocessing and feature engineering, to model development, evaluation, and production deployment.
 </li>
 <li>
 You'll have direct impact by developing, fine-tuning, and launching generative AI models and intelligent agents in real-world, high-scale environments.
 </li>
 <li>
 You'll help define and maintain best practices for model monitoring, retraining, and ensuring robust, reproducible, and maintainable code.
 </li>
 <li>
 You'll work closely with product, engineering, and operations teams to solve challenging problems in the operations and search domains, as well as optimize user experience through analytics, recommendations, and experimentation.
 </li>
 <li>
 You'll actively participate in Agile/Scrum processes, contributing to team planning, code reviews, and knowledge sharing.
 </li>
 </ul>
 
 
</div>

Data Scientist

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