data engineer

software engineer

acquiring platform / software engineer Jobs in Istanbul

acquiring platform / software engineer

ai engineer

ai engineer - computer vision Jobs in Istanbul

ai engineer - computer vision

generative ai engineer

Zepp Health

<div>
 
 
 Job Title:
 
 NLP/ML/AI Engineer - Generative Modeling
 
 
 
 Location:
 
 Turkey (Istanbul)
 
 
 
 Introduction
 
 : Zepp Health (NYSE: ZEPP) is a global smart wearable and health technology leader that empowers users to live their healthiest lives by optimizing their health, fitness, and wellness journeys through its leading brands such as Amazfit, Zepp Clarity and Zepp Aura. Our Big Data and Cloud team is building world-class applications such as Zepp Coach (an AI-powered feature that offers tailored guidance to help users train more scientifically) and Zepp Aura (an innovative rest and mindfulness solution that provides users with dynamic tools to enjoy deeper sleep, improve their mental well-being and lead a more joyful life).
 
 
 
 
 
 
 Position:
 
 We are seeking a highly skilled and motivated NLP/ML/AI engineer to join our team in developing cutting-edge AIGC applications. The successful candidate will play a key role in developing state-of-the-art AI systems, conducting model fine-tuning, evaluating performance, and implementing data-driven optimizations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Participate in the design and implementation of state-of-the-art AIGC applications.
 </li>
 <li>
 Conduct fine-tuning for customized models to optimize performance.
 </li>
 <li>
 Evaluate model performance and implement data-driven optimizations to enhance accuracy and efficiency.
 </li>
 <li>
 Collaborate with cross-functional teams to define strategic roadmaps for AI/NLP projects.
 </li>
 <li>
 Stay updated with industry advancements and incorporate innovative techniques into our applications.
 </li>
 </ul>
 
 
 Required
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field.
 </li>
 <li>
 8+ years of industry experience in building NLP systems and applications.
 </li>
 <li>
 Proficiency in Python and experience with frameworks such as PyTorch/TensorFlow.
 </li>
 <li>
 Strong theoretical understanding of deep learning and NLP fundamentals.
 </li>
 <li>
 Experience with fine tuning and serving deep neural networks.
 </li>
 <li>
 Exceptional problem-solving skills and an analytical mindset.
 </li>
 <li>
 Ability to thrive in a remote work environment while effectively collaborating with the team.
 </li>
 </ul>
 
 
 
 
 We are excited to welcome passionate individuals who can contribute to our AI-powered innovations. If you have the required qualifications and a drive to make a difference in the field of AI, we encourage you to apply today!
 
</div>

Generative 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

Webtures

<div>
 
 
 Arama motoru optimizasyonunun gelece&gbreve;ini &scedil;ekillendirecek yenilik&ccedil;i stratejiler geli&scedil;tirmekten sorumlu olacak; hem klasik SEO hem de yapay zeka tabanl&inodot; Generative Engine Optimization alan&inodot;nda ara&scedil;t&inodot;rma ve uygulama &ccedil;al&inodot;&scedil;malar&inodot; y&uuml;r&uuml;tecek profesyonel bir aday aray&inodot;&scedil;&inodot;m&inodot;z bulunmaktad&inodot;r. Aday, yapay zeka ara&ccedil;lar&inodot;n&inodot; etkin bi&ccedil;imde kullanarak ara&scedil;t&inodot;rma, veri analizi ve optimizasyon &ccedil;al&inodot;&scedil;malar&inodot; ger&ccedil;ekle&scedil;tirecek, generative AI tabanl&inodot; yan&inodot;t sistemlerinde marka g&ouml;r&uuml;n&uuml;rl&uuml;&gbreve;&uuml;n&uuml; art&inodot;rmaya y&ouml;nelik stratejiler geli&scedil;tirecek ve geli&scedil;mi&scedil; teknik analizlerle dijital pazarlama &ccedil;al&inodot;&scedil;malar&inodot;m&inodot;z&inodot; g&uuml;&ccedil;lendirecektir.
 
 
 
 
 
 
 
 Temel Sorumluluklar
 
 
 <ul>
 <li>
 
 &Scedil;irket portf&ouml;y&uuml;ndeki mevcut markalara
 
 
 SEO ve Generative Engine Optimization
 
 
 alanlar&inodot;nda stratejik destek sa&gbreve;lamak
 
 </li>
 <li>
 
 Markalar&inodot;n organik g&ouml;r&uuml;n&uuml;rl&uuml;&gbreve;&uuml;n&uuml; art&inodot;rmak i&ccedil;in k&inodot;sa ve uzun vadeli optimizasyon planlar&inodot; olu&scedil;turmak ve uygulamak
 
 </li>
 <li>
 
 Generative AI tabanl&inodot; yan&inodot;t sistemlerinde (ChatGPT, Perplexity, Gemini vb.) marka g&ouml;r&uuml;n&uuml;rl&uuml;&gbreve;&uuml;n&uuml; art&inodot;rmaya y&ouml;nelik optimizasyon &ccedil;al&inodot;&scedil;malar&inodot; y&uuml;r&uuml;tmek
 
 </li>
 <li>
 
 Yapay zeka ara&ccedil;lar&inodot;n&inodot; kullanarak anahtar kelime ara&scedil;t&inodot;rmalar&inodot;, trend analizleri, pazar ve rakip analizleri yapmak
 
 </li>
 <li>
 
 Teknik SEO denetimleri ger&ccedil;ekle&scedil;tirerek, tespit edilen sorunlar i&ccedil;in &ccedil;&ouml;z&uuml;m &ouml;nerileri geli&scedil;tirmek ve ilgili ekiplerle koordineli &scedil;ekilde hayata ge&ccedil;irmek
 
 </li>
 <li>
 
 &Idot;&ccedil;erik, yaz&inodot;l&inodot;m ve pazarlama ekipleri ile yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak b&uuml;t&uuml;nsel optimizasyon projelerini y&ouml;netmek
 
 </li>
 <li>
 
 SEO ve GEO performans metriklerini d&uuml;zenli olarak analiz etmek, raporlamak ve iyile&scedil;tirme &ouml;nerileri sunmak
 
 </li>
 <li>
 
 Arama motoru algoritma g&uuml;ncellemeleri ve generative AI trendlerini takip ederek stratejileri g&uuml;ncel tutmak
 
 </li>
 </ul>
 
 
 
 
 
 Aranan Nitelikler
 
 
 <ul>
 <li>
 
 SEO alan&inodot;nda en az
 
 
 3 y&inodot;l
 
 
 deneyime ek olarak;
 
 
 GEO
 
 
 ve
 
 
 AEO
 
 
 disiplinlerinin &ccedil;al&inodot;&scedil;ma prensiplerine (Training Data, Fine-tuning, Context Window) hakimiyet.
 
 </li>
 <li>
 
 AI tabanl&inodot; ara&scedil;t&inodot;rma, optimizasyon ve otomasyon ara&ccedil;lar&inodot;n&inodot; etkin &scedil;ekilde kullanabilme becerisi
 
 </li>
 <li>
 
 Geleneksel ara&ccedil;lar&inodot;n (Ahrefs, SEMrush) yan&inodot; s&inodot;ra; LLM &ccedil;&inodot;kt&inodot;lar&inodot;n&inodot; analiz edebilen, prompt m&uuml;hendisli&gbreve;i yapabilen ve veri setleri aras&inodot;ndaki korelasyonlar&inodot; (SEO sinyalleri vs. AI at&inodot;flar&inodot;) yorumlayabilen.
 
 </li>
 <li>
 
 Teknik SEO konular&inodot;nda HTML, CSS, JavaScript bilgisi ve yap&inodot;sal veri (schema markup) uygulamalar&inodot;nda deneyim
 
 </li>
 <li>
 
 Global pazarlarda organik g&ouml;r&uuml;n&uuml;rl&uuml;k art&inodot;rma konusunda kan&inodot;tlanm&inodot;&scedil; ba&scedil;ar&inodot; hikayelerine sahip olma
 
 </li>
 <li>
 
 Analitik d&uuml;&scedil;&uuml;nme, problem &ccedil;&ouml;zme ve stratejik planlama yetkinlikleri
 
 </li>
 <li>
 
 &Idot;leri d&uuml;zeyde yaz&inodot;l&inodot; ve s&ouml;zl&uuml; &Idot;ngilizce becerisi
 
 </li>
 <li>
 
 Tercihen yapay zek&acirc; destekli pazarlama projelerinde aktif g&ouml;rev alm&inodot;&scedil; olma
 
 </li>
 </ul>
 
 
 
 
 Bu pozisyon, yaln&inodot;zca geleneksel SEO de&gbreve;il; ayn&inodot; zamanda gelece&gbreve;in dijital g&ouml;r&uuml;n&uuml;rl&uuml;k stratejisi olan Generative Engine Optimization (GEO) alan&inodot;nda da uzmanla&scedil;mak isteyenler i&ccedil;in &ouml;nemli bir kariyer f&inodot;rsat&inodot; sunmaktad&inodot;r.
 
 
 
 
 
 
 
 
</div>

GEO Executive

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

Moonstep Games

<div>
 
 Moonstep Games is a mobile game studio based in Istanbul, dedicated to creating thoughtful, relaxing, and accessible puzzle experiences enjoyed by millions of players worldwide of all ages. We blend creativity, data, and technology to build long-lasting mobile titles.
 
 
 
 
 
 We are looking for a
 
 Motion Graphics Designer
 
 to create engaging visual creatives for our marketing campaigns. In this role, you will produce high-quality advertising assets using animation, sound, and AI-generated visuals. You will work closely with the marketing team to test, optimize, and scale performance-driven creatives across global markets.
 
 
 
 
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Design and produce engaging motion videos and AI-powered marketing creatives for digital campaigns
 </li>
 <li>
 Create App Store assets including images and videos
 </li>
 <li>
 Generate and refine AI-based visuals
 </li>
 <li>
 Ensure visual consistency in color, lighting, and overall style
 </li>
 <li>
 Collaborate closely with the marketing team throughout the creative process
 </li>
 <li>
 Analyze competitor creatives and contribute to brainstorming new ideas
 </li>
 </ul>
 
 
 
 
 
 What We're Looking For
 
 
 <ul>
 <li>
 Experience in After Effects and motion design tools
 </li>
 <li>
 Interest in generative AI tools like Midjourney, Nano Banana, etc.
 </li>
 <li>
 A portfolio demonstrating your skills and projects
 </li>
 <li>
 A sharp eye for animation and design details
 </li>
 <li>
 A creative mindset with a good sense of storytelling and visual communication
 </li>
 <li>
 Strong collaboration and teamwork skills
 </li>
 <li>
 Interest in mobile games
 </li>
 </ul>
 
 
</div>

Motion Graphics Designer

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>
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 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

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