process engineer

qa engineer

lead engineer

planning engineer

service engineer

ai engineer

TEMSA

<div>
 
 
 
 Our Culture
 
 
 
 
 
 
 
 
 TEMSA, one of the world's leading bus and midibus manufacturers, offers state
 
 of the art mobilit
 
 y solutions with it more than 50 years of experience. TEMSA is present in close to 70 markets worldwide with a significant market share in leading economies such as the USA, UK, France, Germany and Italy. And with a wide product range, TEMSA meets the unique needs of different regions. TEMSA's mission is to evolve to be the human-centered technology company which provides smart and sustainable mobility solutions to the world for more pleasant journeys.. We are proud of being
 
 &lsquo;&rsquo;the first R&amp;D center of Turkey&rsquo;
 
 &rsquo; and the company that produced
 
 &lsquo;&rsquo;the first electric bus&rsquo;
 
 &rsquo;
 
 
 
 
 .
 
 
 
 
 
 
 
 
 
 
 
 #TogetherWeareStronge
 
 r!
 
 
 
 
 
 
 
 
 Passionate about automative sector,
 
 
 
 
 Curious to learn more and never afraid of failing,
 
 
 
 
 Passionate about taking a step forward every single day,
 
 
 
 
 Trustful and self-motivated with good communication skills,
 
 
 
 
 
 
 
 
 We are waiting for
 
 you!
 
 
 
 
 
 
 
 
 We are seeking a passionate
 
 AI Engineer/Developer
 
 to design, develop, and deploy cutting-edge AI-powered solutions that enhance enterprise digital platforms. In this role, you will work at the intersection of artificial intelligence, software engineering, and data integration&mdash;driving innovation through real-world AI applications that deliver measurable business impact.
 
 
 
 
 
 
 
 
 What is the job waiting for
 
 you?
 
 
 
 
 
 
 <ul>
 <li>
 Develop AI projects and solutions.
 </li>
 <li>
 Design, implement, and maintain AI-powered integrations within enterprise digital platforms
 </li>
 <li>
 Conduct research and analysis on AI and ML technologies and trends to stay up to date with the latest advancements.
 </li>
 <li>
 Manage the deployment lifecycle of AI components using Docker, Kubernetes, and CI/CD pipelines
 </li>
 <li>
 Build AI orchestration pipelines including prompt processing, intent mapping, and data retrieval mechanisms
 </li>
 <li>
 Conduct functional and performance testing of deployed AI services
 </li>
 <li>
 Monitor and continuously optimize AI workloads in production environments
 </li>
 <li>
 Design data labeling and embedding strategies to make enterprise datasets searchable through AI.
 </li>
 <li>
 Work with senior team members to analyze current business practices and identify future opportunities for leveraging advanced analytics and AI solutions
 </li>
 </ul>
 
 
 
 
 
 
 
 What we are looki
 
 ng for?
 
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in Computer engineering, Software Engineering or Artificial Intelligence
 </li>
 <li>
 Proven experience in delivering AI-driven integration or deployment projects in a production or enterprise environment, demonstrating measurable results or operational impact
 </li>
 <li>
 Proficiency in modern programming languages and frameworks commonly used for API and backend development (e.g., Python, JavaScript, .NET or similar technologies)
 </li>
 <li>
 Familiar with AI Application Development tools (n8n, Replit, Lovable, Codex, Github CoPilot &hellip;etc.)
 </li>
 <li>
 Hands-on experience with Azure OpenAI, Azure AI Functions &amp; Services, Bot Framework, Open AI, MS 365 SDK,&hellip; etc.
 </li>
 <li>
 Knowledge of agentic AI / multi-agent frameworks is considered an advantage
 </li>
 <li>
 Able to understand analytical methodologies and complex.
 </li>
 <li>
 Willing to live in Adana or &Idot;stanbul
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 TEMSA offers the followin
 
 g benefits:
 
 
 
 
 
 
 <ul>
 <li>
 
 Private health and life insurance
 
 </li>
 <li>
 
 Private Pension Plan with the Employer Contribution of %3,
 
 </li>
 <li>
 
 Academic education encouragement package.
 
 </li>
 <li>
 
 English lingual improvement package.
 
 </li>
 <li>
 
 Personal (skills and technical) improvement plan,
 
 </li>
 <li>
 
 Take time to celebrate your birthday with your besties,
 
 </li>
 <li>
 
 T-Buddy mentorship program will enable your seamless adjustment to TEMSA culture during your first week ,
 
 </li>
 <li>
 
 Rotation opportunity within TEMSA and other Sabanc&inodot; Group companies in agile culture,
 
 </li>
 <li>
 
 Wellbeing approach with mobile applications keep your physical, mental and body health.
 
 </li>
 <li>
 
 Opportunity to gain experience with the team that produced the first electric bus in Turke
 
 y.
 </li>
 </ul>
 
 
 
 
 
 
 
 How Do Our Recruitment Processes Proceed?
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Application
 
 </li>
 <li>
 
 Preliminary assessment
 
 </li>
 <li>
 
 Face-to-face or online interview
 
 </li>
 <li>
 
 English exam and
 
 assessment test
 </li>
 <li>
 
 Offer
 
 </li>
 <li>
 
 
 In special cases, there may be changes in our processes.
 
 
 </li>
 </ul>
 
 
 
 
 
 Follow us on Instagram and LinkedIn to stay up to date with our career opportunities! #TEMSA
 
 
 
 
 &lsquo;S&uuml;rd&uuml;r&uuml;lebilir b&uuml;y&uuml;me, e&scedil;it imkanlar ve farkl&inodot; bak&inodot;&scedil; a&ccedil;&inodot;lar&inodot;yla m&uuml;mk&uuml;nd&uuml;r. &Idot;nsan Kaynaklar&inodot; politikam&inodot;z kapsam&inodot;nda; &Idot;lanlar&inodot;m&inodot;za ba&scedil;vuru yapan i&ccedil;/d&inodot;&scedil; t&uuml;m adaylar&inodot;m&inodot;za &Idot;nsan Haklar&inodot; Evrensel Beyannamesi ve Uluslararas&inodot; &Ccedil;al&inodot;&scedil;ma &Ouml;rg&uuml;t&uuml; (ILO) standartlar&inodot;na uygun olarak &inodot;rk, din, dil, cinsiyet, renk, ulusal ya da sosyal k&ouml;ken, cinsel y&ouml;nelim, engellilik, siyasi g&ouml;r&uuml;&scedil;, hamilelik ya da medeni durum g&ouml;zetmeksizin f&inodot;rsat e&scedil;itli&gbreve;i sa&gbreve;laman&inodot;n bir ayr&inodot;cal&inodot;k olmad&inodot;&gbreve;&inodot;na inan&inodot;yoruz
 
 .&rsquo;
 
</div>

AI Engineer

Randstad Türkiye

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

AI Engineer - Computer Vision

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>

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)

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

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

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Yapay Zeka Uzmanı