ai engineer

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ai engineer (computer vision & ml) Jobs in Istanbul

ai engineer (computer vision & ml)

ai engineer (libadiye office) Jobs in Istanbul

ai engineer (libadiye office)

ai engineer - computer vision Jobs in Istanbul

ai engineer - computer vision

ai engineer computer vision ml

Architecht

<div>
 
 
 &Scedil;irket Profili
 
 
 
 
 
 
 Kuveyt T&uuml;rk Kat&inodot;l&inodot;m Bankas&inodot;&rsquo;n&inodot;n %100 i&scedil;tiraki olarak 2015 y&inodot;l&inodot;ndan beri dijital &uuml;r&uuml;n ve hizmetler geli&scedil;tiren Architecht, bili&scedil;im sekt&ouml;r&uuml;nde faaliyet g&ouml;steriyor. A&ccedil;&inodot;k bankac&inodot;l&inodot;k, ana bankac&inodot;l&inodot;k, tedarik&ccedil;i finansman&inodot;, g&uuml;venlik teknolojileri, alternatif kanal &ccedil;&ouml;z&uuml;mleri, yaz&inodot;l&inodot;m geli&scedil;tirme, destek ve dan&inodot;&scedil;manl&inodot;k hizmetleri sunan &scedil;irket, bankalar, telekom&uuml;nikasyon &scedil;irketleri, teknoloji &scedil;irketleri ve bireysel emeklilik &scedil;irketleri gibi geni&scedil; bir yelpazede finansal &ccedil;&ouml;z&uuml;mler sa&gbreve;l&inodot;yor.
 
 
 Kurulu&scedil;unun ilk y&inodot;l&inodot;nda T&uuml;rkiye&rsquo;nin ilk 500 b&uuml;y&uuml;k &scedil;irketi aras&inodot;na giren, 2019 y&inodot;l&inodot;nda T&uuml;rkiye&rsquo;nin en h&inodot;zl&inodot; b&uuml;y&uuml;yen teknoloji &scedil;irketi olan ve bug&uuml;n 700&rsquo;&uuml; a&scedil;k&inodot;n &ccedil;al&inodot;&scedil;an&inodot; ile finansal teknolojiler geli&scedil;tiren Architecht, Great Place to Work&reg; Sertifikasyon program&inodot;na g&ouml;re
 
 son 6 y&inodot;ld&inodot;r
 
 T&uuml;rkiye&rsquo;nin En &Idot;yi &Idot;&scedil;verenleri aras&inodot;nda yer al&inodot;yor.
 
 
 
 
 
 
 Aranan Nitelikler
 
 
 
 
 
 <ul>
 <li>
 &Uuml;niversitelerin &ouml;rg&uuml;n &ouml;&gbreve;retim yapan, 4 y&inodot;ll&inodot;k
 
 Bilgisayar M&uuml;hendisli&gbreve;i, Elektrik-Elektronik M&uuml;hendisli&gbreve;i, Matematik M&uuml;hendisli&gbreve;i, End&uuml;stri M&uuml;hendisli&gbreve;i
 
 gibi b&ouml;l&uuml;mlerinden mezun olmak,
 </li>
 <li>
 
 En az 3 y&inodot;l Yapay Zeka M&uuml;hendisi
 
 olarak deneyim sahibi olmak ve g&uuml;&ccedil;l&uuml; bir proje portf&ouml;y&uuml;ne sahip olmak,
 </li>
 <li>
 
 Makine &Ouml;&gbreve;renmesi (Machine Learning)
 
 ve
 
 Derin &Ouml;&gbreve;renme (Deep Learning)
 
 temellerine h&acirc;kim olmak,
 </li>
 <li>
 
 G&ouml;r&uuml;nt&uuml; &Idot;&scedil;leme (Image Processing)
 
 ve
 
 Bilgisayarla G&ouml;r&uuml; (Computer Vision)
 
 konular&inodot;nda pratik deneyime sahip olmak;
 
 OCR (Optical Character Recognition)
 
 uygulamalar&inodot; geli&scedil;tirmi&scedil; olmak,
 </li>
 <li>
 
 CNN, Transformer
 
 tabanl&inodot; modellere
 
 , Object Detection, VLM (Vision-Language Models)
 
 ile
 
 multimodal yapay zeka
 
 yakla&scedil;&inodot;mlar&inodot;na a&scedil;ina olmak,
 </li>
 <li>
 
 Model geli&scedil;tirme s&uuml;re&ccedil;lerinin tamam&inodot;na h&acirc;kim olmak
 
 (veri haz&inodot;rlama, e&gbreve;itim, de&gbreve;erlendirme, yayg&inodot;nla&scedil;t&inodot;rma) ve analitik model geli&scedil;tirme ya&scedil;am d&ouml;ng&uuml;s&uuml;n&uuml; iyi kavram&inodot;&scedil; olmak,
 </li>
 <li>
 Mevcut modelleri proje gereksinimlerine uygun &scedil;ekilde optimize edebilme ve
 
 fine-tuning s&uuml;re&ccedil;lerini y&ouml;netebilme yetkinli&gbreve;i,
 
 </li>
 <li>
 Derin &Ouml;&gbreve;renme, Bilgisayarl&inodot; G&ouml;r&uuml;, LLM ve VLM modelleri ile ilgili konularda
 
 Y&uuml;ksek Lisans ve/veya Doktora derecesi
 
 tercih sebebidir.
 </li>
 <li>
 
 Python
 
 ve
 
 SQL
 
 konular&inodot;nda g&uuml;&ccedil;l&uuml; pratik bilgiye sahip olmak
 </li>
 <li>
 
 Containerized altyap&inodot;lar
 
 (&ouml;rn. Kubernetes, Docker) hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 Problem &ccedil;&ouml;zme becerisine ve detaylara dikkat eden bir &ccedil;al&inodot;&scedil;ma disiplinine sahip olmak,
 </li>
 <li>
 Teknik ve teknik olmayan ekiplerle (&ouml;zellikle i&scedil; birimleriyle) etkili ileti&scedil;im kurabilme yetene&gbreve;ine sahip olmak,
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n ve i&scedil; birli&gbreve;i odakl&inodot; bir &ccedil;al&inodot;&scedil;ma tarz&inodot;na sahip olmak arad&inodot;&gbreve;&inodot;m&inodot;z yetkinlikler aras&inodot;ndad&inodot;r.
 </li>
 </ul>
 
 
</div>

AI Engineer (Computer Vision & ML)

Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML Engineer: 4 years (Required)</li></ul>

AI ML 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

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)

Gizli

<div>
 
 QUALIFICATIONS AND JOB DESCRIPTION
 
 
 
 
 
 We are looking for a visionary
 
 Technology Director
 
 who will contribute to the digital sustainability of large-scale projects and implement cutting-edge technology solutions. The director will shape the company&rsquo;s technology vision, establish scalable architectures through AI, IoT, and digital transformation solutions, and lead sustainable growth.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and implement the company&rsquo;s long-term technology strategy,
 </li>
 <li>
 Lead projects in SAP ERP, IoT, OT/IT integration, AI/ML, and computer vision,
 </li>
 <li>
 Build secure, scalable, and high-performance architectures,
 </li>
 <li>
 Manage backend, frontend, MLOps, and DevOps processes,
 </li>
 <li>
 Build, scale, and manage technical teams with high efficiency,
 </li>
 <li>
 Implement cybersecurity, data management, and performance optimization strategies,
 </li>
 <li>
 Collaborate with product teams, business development, and investors to drive technological goals.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Computer Engineering, Software Engineering, or related fields,
 </li>
 <li>
 15+ years of experience in software development / AI-ML engineering, and 3+ years in a leadership role as CTO, VP of Engineering, or equivalent,
 </li>
 <li>
 Comprehensive knowledge of SAP ERP, IoT, industrial automation, and OT systems,
 </li>
 <li>
 Expertise in modern software technologies such as Python, C#, and React,
 </li>
 <li>
 Hands-on experience with AI/ML frameworks such as PyTorch and TensorFlow,
 </li>
 <li>
 Experience in developing cloud solutions on AWS, Azure, or GCP,
 </li>
 <li>
 Strong technical knowledge in microservices architecture, REST/GraphQL APIs, and SQL/NoSQL databases,
 </li>
 <li>
 Experience in cybersecurity, data security, performance optimization, and system integration.
 </li>
 </ul>
 
 
</div>

Technology Director

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Data Centre Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

Argela Technologies

<div>
 
 Argela&rsquo;s mission isn&rsquo;t simply to provide solutions for the present; it&rsquo;s to generate innovative technologies for the future of communication. We do this through applying our extensive telecom experience to a rigorous, dynamic research and development process. Our goal is to continue our standing as a leader in the information technologies through focusing on actual market needs like Network &amp; Customer Analytics, Subscriber &amp; Service Analytics, Deep Packet Inspection Solutions, Secure Network Infrastructures, software-defined networking (SDN) with network functions virtualization (NFV).
 
 
 To reach our goal, we are looking for the best talent, as outlined in the responsibilities below;
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy end-to-end AI/ML solutions: data exploration, feature engineering, model development, validation, and production deployment
 </li>
 <li>
 Extract, clean, and transform data from various sources (databases, APIs, logs, etc.)
 </li>
 <li>
 Design and implement LLM-powered applications (chatbots, summarization, Q&amp;A, etc.) using RAG and fine-tuning where necessary
 </li>
 <li>
 Collaborate closely with product, data, and engineering teams to turn AI research into real-world impact
 </li>
 <li>
 Stay up to date with the latest advancements in machine learning, deep learning, and generative AI
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field
 </li>
 <li>
 Strong experience in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Solid understanding of NLP and hands-on experience with LLMs (e.g., GPT, LLaMA, Claude)
 </li>
 <li>
 Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and prompt engineering
 </li>
 <li>
 Experience with MLOps tools and practices (e.g., MLflow, DVC, Docker, Kubernetes) is a plus
 </li>
 <li>
 Ability to work independently and manage multiple priorities in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with real-time AI applications in telecom or customer service
 </li>
 <li>
 Exposure to LangChain, Hugging Face Transformers, OpenAI APIs
 </li>
 <li>
 Previous involvement in deploying AI models in production environments
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Istanbul, Ankara
 
 
 
 
 
 
 Bu ilana yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz hakk&inodot;ndaki ayd&inodot;nlatma metnine, &scedil;u linkten ula&scedil;abilirsiniz:
 
 
 
 
 https://www.argela.com.tr/tr/kvkk
 
 
</div>

AI Engineer

Explore 499+ Ai engineer computer vision ml in Istanbul this November. Find roles across top companies and apply now to boost your career.