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agentic ai engineer

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>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 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></div>

Agentic AI Engineer

Turkish Technology

<div>
 
 
 About the team:
 
 
 
 You will be joining a newly formed and fast-growing team that is dedicated to innovation and excellence. This team leverages the latest technologies and adheres to modern development standards to create state-of-the-art logistics solutions. Designed for global use, our products aim to set new standards in the industry, solving complex challenges with precision and scalability. By joining this forward-thinking team, you will have the opportunity to contribute to a project with a global vision and a strong focus on quality and impact.
 
 
 
 
 
 
 About the role:
 
 
 
 We are on a mission to accelerate intelligent transformation through cutting-edge AI capabilities. We are seeking a passionate and experienced AI Engineer to join our dynamic team and lead the development of agentic AI systems and machine learning pipelines across enterprise and customer-facing domains.
 
 
 In this role, you will architect and deploy advanced multi-agent systems&mdash;combining LLMs, RAG pipelines, predictive ML models, and human-in-the-loop mechanisms&mdash;to deliver scalable, safe, and adaptive automation. You will play a key role in shaping the future of intelligent workflows by integrating state-of-the-art AI/ML tools and collaborating closely with software, data, and security architects to ensure seamless end-to-end solutions.
 
 
 
 
 
 
 Position located at:
 
 Libadiye Office
 
 
 
 
 
 
 This position will be:
 
 
 
 As an AI Engineer, you will be responsible for designing and implementing agentic AI and ML-driven automation systems that serve both enterprise operations and customer-facing processes. This includes developing multi-agent architectures, training &amp; deploying ML models, and establishing robust human-in-the-loop mechanisms to ensure reliability, safety, and adaptability.
 
 
 
 
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Design &amp; build multi-agent systems with orchestration logic for complex workflows
 </li>
 <li>
 Develop ML models (classification, regression, recommendation, clustering) using libraries such as scikit-learn, XGBoost, LightGBM, and HuggingFace Transformers
 </li>
 <li>
 Integrate ML and LLM outputs via RAG pipelines, semantic search, vector search, and agent memory architectures
 </li>
 <li>
 Implement feature engineering, data preprocessing, and missing data handling strategies to ensure model robustness
 </li>
 <li>
 Build and optimize end-to-end MLOps pipelines on cloud platforms (AWS, Azure, GCP) using MLflow, Kubeflow, Docker, and Kubernetes
 </li>
 <li>
 Develop and maintain agentic workflows using CrewAI, LangGraph, LangChain, N8N, and integrate with APIs, databases, and AI-powered tools
 </li>
 <li>
 Fine-tune LLMs and ML models using embedding strategies, hyperparameter optimization, and quantization/distillation techniques
 </li>
 <li>
 Apply model evaluation metrics (accuracy, precision, recall, F1, ROC-AUC, MSE) to track performance and detect drift
 </li>
 <li>
 Implement and monitor guardrails, reflection loops, output verification, and bias/fairness checks for AI/ML outputs
 </li>
 <li>
 Collaborate with cross-functional teams to align AI/ML solutions with business goals and operational constraints
 </li>
 </ul>
 
 
 
 
 
 How do we describe the perfect match?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
 </li>
 <li>
 5+ years of experience in AI, machine learning, and/or software engineering, with proven delivery of production-grade AI/ML systems
 </li>
 <li>
 Strong expertise in agentic AI, LLM systems, RAG pipelines, and ML model development.
 </li>
 <li>
 Hands-on experience with CrewAI, N8N, LangChain, LangGraph, LangFlow, LangSmith, OpenAI API and AWS services (Lambda, S3, API Gateway, ECR)
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, scikit-learn, SciPy, XGBoost) and SQL for data manipulation, analysis, and feature engineering
 </li>
 <li>
 Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant) and semantic search
 </li>
 <li>
 Background in predictive modeling, statistics, and ML evaluation metrics (precision, recall, F1, ROC-AUC, MSE)
 </li>
 <li>
 Experience building MLOps pipelines using MLflow, Kubeflow, or SageMaker; deploying to containerized environments (Docker, Kubernetes, OpenShift)
 </li>
 <li>
 Familiarity with AI-assisted development tools (Cursor, GitHub Copilot) in daily workflows.
 </li>
 <li>
 Ability to communicate AI/ML concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 Strong problem-solving skills, analytical thinking, and a data-driven mindset
 </li>
 <li>
 Proficient communication skills in English
 </li>
 </ul>
 
 
 
 
 
 Benefits Of Working With Us
 
 
 
 
 In addition to having the opportunity to grow and be challenged, and to be part of a life, our people enjoy a range of rewarding benefits:
 
 
 
 
 
 <ul>
 <li>
 Flexible working arrangements, generous personal, parental and cultural leave
 </li>
 <li>
 Competitive remuneration
 </li>
 <li>
 Free and subsidized health and wellbeing services
 </li>
 <li>
 Discounts on a wide range of products and services
 </li>
 <li>
 Career development opportunities
 </li>
 <li>
 A buddy who will guide and accompany you during your onboarding process
 </li>
 <li>
 A great number of online courses and technical trainings that will support your development
 </li>
 <li>
 Personalized development plan for you
 </li>
 <li>
 Using CED &amp; Pass Flight for travelling experience with your family
 </li>
 <li>
 Support payment for childcare
 </li>
 </ul>
 
 
 
 
 
 Be Yourself
 
 
 
 We value the unique backgrounds, experiences and contributions that each person brings to our team and encourage and celebrate diversity.
 
 
 
 
 
 If you would like to get to know more about Turkish Airlines Technology, please follow us on Instagram and LinkedIn;
 
 
 https://www.instagram.com/turkishairlinstechnology/
 
 
 https://www.linkedin.com/company/thyteknoloji/
 
</div>

AI Engineer (Libadiye Office)

Yıldız Tech

<div>
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 72 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 46 factories, 25 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 75 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 Y&inodot;ld&inodot;z Tech&rsquo;s Digital Transformation team is looking for an
 
 Advanced Analytics Head
 
 to lead the strategic direction, development, and execution of advanced analytics initiatives. In this leadership role, you will be responsible for aligning analytics efforts with business goals, understanding stakeholder needs, and enabling data-driven decision-making across the organization.
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 Develop and implement strategic analytics plans aligned with company objectives.
 </li>
 <li>
 Lead and manage the analytics team, including task planning, resource allocation, and performance monitoring.
 </li>
 <li>
 Oversee the design and implementation of data collection, storage, analysis, and reporting strategies.
 </li>
 <li>
 Manage complex analytics projects, ensuring timely delivery within budget.
 </li>
 <li>
 Collaborate with business units to understand requirements and deliver customer-focused analytic solutions.
 </li>
 <li>
 Ensure compliance with data security standards and regulatory requirements.
 </li>
 <li>
 Analyze market trends and provide strategic recommendations based on predictive insights.
 </li>
 <li>
 Select and manage advanced analytics tools and technologies.
 </li>
 <li>
 Define KPIs and performance metrics for analytics initiatives and generate regular reports.
 </li>
 <li>
 Stay up-to-date with the latest trends in AI, data science, and analytics technologies.
 </li>
 <li>
 Documenting analysis methods, findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing presentations and documentation to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 Deploying machine learning models into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying Large Language Models (LLMs) and agentic AI solutions to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What Will Be the Qualifications We Expect From You?
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science/Engineering, Industrial Engineering (or other related engineering fields), Data Science, Statistics, Mathematics or Business Administration (Master&rsquo;s degree preferred).
 </li>
 <li>
 Minimum 7+ years of progressive experience in advanced analytics, data science, or a similar role.
 </li>
 <li>
 Strong programming and scripting skills in Python (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Deep understanding of machine learning, predictive modeling, optimization techniques, and data visualization.
 </li>
 <li>
 Experience in managing cross-functional teams and driving results in dynamic environments.
 </li>
 <li>
 Strong business acumen with the ability to translate complex analytical findings into actionable strategies.
 </li>
 <li>
 Experience in data governance, ensuring data integrity, security, and regulatory compliance.
 </li>
 <li>
 Excellent communication and presentation skills for both technical and non-technical audiences.
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Proactive problem-solving skills and ability to thrive in fast-paced environments.
 </li>
 <li>
 Continuous learning mindset with a passion for staying current in analytics and technology.
 </li>
 </ul>
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with Large Language Models (LLMs) and agentic AI frameworks, including fine-tuning, embedding models, prompt engineering, or agent orchestration (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as Docker, Kubernetes, and CI/CD pipelines (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with model serving frameworks such as MLflow, FastAPI, or TorchServe.
 </li>
 <li>
 Practical experience with cloud platforms such as AWS and/or Azure, especially in infrastructure management, data storage, networking, and resource provisioning (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 What Will Happen to Those Who Feature You?
 
 
 
 
 
 <ul>
 <li>
 Effective communication and stakeholder management skills
 </li>
 <li>
 Strong leadership and team management capabilities
 </li>
 <li>
 Strategic thinking and result-oriented mindset
 </li>
 <li>
 Ability to manage multiple cross-organizational projects
 </li>
 <li>
 Analytical and problem-solving perspective
 </li>
 <li>
 Hands-on experience in deploying machine learning models into production environments
 </li>
 <li>
 Curiosity and practical experience with Large Language Models (LLMs) and agentic AI frameworks
 </li>
 <li>
 Proficiency in MS Office and data visualization tools
 </li>
 <li>
 Multitasking and prioritization skills
 </li>
 </ul>
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ;
 
 https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi
 
 sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
</div>

Advanced Analytics Head

TEB Arf

<div>
 
 
 Data Scientist &ndash; AI &amp; Data Science Team (TEB Arf, &Idot;stanbul &ndash; B&Uuml;DOTEK Teknopark)
 
 
 
 Join TEB Arf&rsquo;s innovative AI &amp; Data Science Team and help us redefine the future of banking! We&rsquo;re a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact. As a Data Scientist, you&rsquo;ll own the entire lifecycle of AI/ML solutions &ndash; from development and deployment to monitoring and continuous improvement &ndash; collaborating closely with business stakeholders to solve complex challenges.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 
 Data Engineering &amp; Preparation:
 
 Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.
 </li>
 <li>
 
 Model Development &amp; Evaluation:
 
 Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch. Employ techniques like cross-validation to ensure robust and generalizable results.
 </li>
 <li>
 
 Business Translation &amp; Impact:
 
 Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.
 </li>
 <li>
 
 Deployment &amp; Monitoring:
 
 Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).
 </li>
 <li>
 
 Communication &amp; Documentation:
 
 Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering, Electrical/Electronics Engineering, Industrial Engineering, Statistics, or Mathematics.
 </li>
 <li>
 5+ years of experience, with at least 3 years in a dedicated Data Science role.
 </li>
 <li>
 Expert proficiency in SQL and Python.
 </li>
 <li>
 Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
 </li>
 <li>
 Hands-on experience developing and deploying machine learning models and AI applications.
 </li>
 <li>
 Solid understanding of MLOps and LLMOps principles.
 </li>
 <li>
 Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
 </li>
 <li>
 Excellent English communication skills (verbal and written).
 </li>
 </ul>
 
 
 
 
 
 Bonus Points:
 
 
 <ul>
 <li>
 Experience with Java or C++.
 </li>
 <li>
 Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
 </li>
 <li>
 Master&rsquo;s or PhD in a related field.
 </li>
 <li>
 Experience in the banking or financial services industry.
 </li>
 </ul>
 
 
</div>

Data Scientist – AI & Data Science Team

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?
 
 
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; AI-assisted development konusunda tecr&uuml;beli,
 
 
 &bull; Python yetkinli&gbreve;i, Java veya Go dillerinden birinde derin uzmanl&inodot;&gbreve;&inodot; olan,
 
 
 &bull; 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).
 
 
 &bull; &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,
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; Pragmatik bir yakla&scedil;&inodot;mla g&uuml;&ccedil;l&uuml; analitik ve problem &ccedil;&ouml;zme becerileri olan,
 
 
 Tercihen;
 
 
 &bull; Chatbot Altyap&inodot;lar&inodot;: Yo&gbreve;un kullan&inodot;lan chatbot altyap&inodot;lar&inodot;n&inodot;n geli&scedil;tirilmesi ve s&uuml;rd&uuml;r&uuml;lebilirli&gbreve;inde deneyim sahibi,
 
 
 &bull; RAG Sistemleri: RAG (Retrieval-Augmented Generation) altyap&inodot;lar&inodot;na a&scedil;ina,
 
 
 &bull; MCP Mimarisinde Tecr&uuml;be: MCP (Model Context Protocol) mimarisinde somut proje deneyimine sahip,
 
 
 &bull; Full-stack Entegrasyon: Frontend&ndash;backend entegrasyon konusunda bilgi sahibi,
 
 
 &bull; LLM Uygulama Kal&inodot;plar&inodot;: B&uuml;y&uuml;k Dil Modellerini (LLM'ler) ve uygulama entegrasyon kal&inodot;plar&inodot;n&inodot; anlayabilen,
 
 
 &bull; Prompt Engineering: &Idot;leri d&uuml;zey prompting y&ouml;ntemleri (chain-of-thought, ReAct, plan-and-act vb.) konusunda bilgi sahibi,
 
 
 &bull; Veri ve ML &Idot;&scedil; Ak&inodot;&scedil;lar&inodot;: Veri i&scedil;leme veya ML i&scedil; ak&inodot;&scedil;lar&inodot;na hakim,
 
 
 &bull; Monitoring &amp; Observability: Modern izleme ve g&ouml;zlemlenebilirlik y&inodot;&gbreve;&inodot;nlar&inodot;yla ilgili deneyim sahibi.
 
 
 
 
 
 
 
 
 
 
 Turkcell&rsquo;de Senior Software Engineer (AI Solutions Backend) Rol&uuml; Ne Yapar?
 
 
 
 
 &bull; &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,
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; 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),
 
 
 &bull; &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,
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; 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,
 
 
 &bull; 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.
 
 
 
 
 
 
 
 
 
 
 
 
 
 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 SOFTWARE ENGINEER (AI SOLUTIONS BACKEND)

Midas

<div><div>At Midas, we are working on real-life user needs to transform the world of finance.</div><div>
We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.</div><div>
Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.</div>
<h3 class="jobSectionHeader">What You'll Ship</h3><ul><li>
Understand business objectives and data requirements, translating them into actionable insights and predictive or generative solutions.</li><li>
Testing, Evaluation &amp; Benchmarking &ndash; own experiment design, metric definition, and continuous assessment of predictive or generative pipelines.</li><li>
Taxonomy Management &ndash; create and maintain hierarchical label and eval schemes for text classification/generation projects.</li><li>
Work with large datasets to summarize and extract key insights, providing valuable information to support business strategies.</li><li>
Collaborate with business partners and departments to ensure data-driven solutions align with business goals and deliver optimal results.</li></ul><h3 class="jobSectionHeader">
Cultural Competencies</h3><ul><li>
Takes full ownership &mdash; doesn&rsquo;t wait, just solves</li><li>
Questions assumptions and rebuilds from first principles</li><li>
Balances speed and quality &mdash; ships fast, but always clean</li><li>
Collaborates fluidly across teams; communicates clearly, with empathy and precision</li></ul><h3 class="jobSectionHeader">
What You'll Bring</h3><ul><li>
Bachelor&rsquo;s degree in Mathematics, Physics, Engineering and relevant fields.</li><li>
Knowledge and hands-on experience using SQL, Python, Python DS/ML Stack.</li><li>
Experience in manipulating large datasets, summarizing key insights, and applying statistical analysis or data mining techniques to uncover patterns and answer business questions.</li><li>
Generative AI adoption to scale tagging, monitoring, analytical and agentic pipelines.</li><li>
Track record of impact in product facing roles.</li><li>
Search and retrieval background.</li></ul><div>
Why Join Us?</div><div></div><div> 
Play to Win, Build with the Best</div><div>
Collaborate with the brightest minds, who challenge you to grow every day.</div><div></div><div> 
Dare to Disrupt</div><div>
Become an outlier and turn bold ideas into groundbreaking realities.</div><div></div><div> 
You will be fully equipped for success:</div><div></div><div> 
Great compensation for great talent.</div><div>
Holistic support for health, well being and nutrition.</div><div>
Tools to Thrive &ndash; everything you need to perform at your best.</div><div></div><div> 
Want to learn more about the team?</div><div>
Take a look: https://linktr.ee/midas.talent</div><div></div><div> 
Be an Outlier, Build the Future of Money!</div></div>

Data Scientist

<div>
 At Midas, we are working on real-life user needs to transform the world of finance.
 
 
 We&rsquo;ve transformed investing in Turkey by delivering a seamless experience for everyday investors.
 
 
 Today, 3.5 million users invest with Midas. Backed by an $80M Series B, the largest fintech investment ever in Turkey, we are scaling faster than ever.
 
 
 
 What You'll Ship
 
 
 
 <ul>
 <li>
 Understand business objectives and data requirements, translating them into actionable insights and predictive or generative solutions
 </li>
 <li>
 Testing, Evaluation &amp; Benchmarking &ndash; own experiment design, metric definition, and continuous assessment of predictive or generative pipelines
 </li>
 <li>
 Taxonomy Management &ndash; create and maintain hierarchical label and eval schemes for text classification/generation projects
 </li>
 <li>
 Work with large datasets to summarize and extract key insights, providing valuable information to support business strategies
 </li>
 <li>
 Collaborate with business partners and departments to ensure data-driven solutions align with business goals and deliver optimal results
 
 
 
 
 
 </li>
 </ul>
 
 Cultural Competencies
 
 
 
 <ul>
 <li>
 Takes full ownership &mdash; doesn&rsquo;t wait, just solves
 </li>
 <li>
 Questions assumptions and rebuilds from first principles
 </li>
 <li>
 Balances speed and quality &mdash; ships fast, but always clean
 </li>
 <li>
 Collaborates fluidly across teams; communicates clearly, with empathy and precision
 
 
 
 
 
 </li>
 </ul>
 
 What You'll Bring
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Mathematics, Physics, Engineering and relevant fields
 </li>
 <li>
 Knowledge and hands-on experience using SQL, Python, Python DS/ML Stack
 </li>
 <li>
 Experience in manipulating large datasets, summarizing key insights, and applying statistical analysis or data mining techniques to uncover patterns and answer business questions
 </li>
 <li>
 Generative AI adoption to scale tagging, monitoring, analytical and agentic pipelines
 </li>
 <li>
 Track record of impact in product facing roles
 </li>
 <li>
 Search and retrieval background
 
 
 
 
 
 </li>
 </ul>
 
 Why Join Us?
 
 
 
 Play to Win, Build with the Best
 
 
 Collaborate with the brightest minds, who challenge you to grow every day.
 
 
 
 Dare to Disrupt
 
 
 Become an outlier and turn bold ideas into groundbreaking realities.
 
 
 
 You will be fully equipped for success:
 
 
 Great compensation for great talent.
 
 
 Holistic support for health, well being and nutrition.
 
 
 Tools to Thrive &ndash; everything you need to perform at your best.
 
 
 Want to learn more about the team?
 
 
 Take a look: https://linktr.ee/midas.talent
 
 
 Be an Outlier, Build the Future of Money!
</div>

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