mlops/platform engineer

process engineer

production support engineer Jobs in Istanbul

production support engineer

system engineer

acquiring platform / software engineer Jobs in Istanbul

acquiring platform / software engineer

mlops platform engineer

Codeway

<div>
 
 About Codeway
 
 
 Codeway is a global consumer tech company with more than 400M users worldwide.
 
 
 Since 2020, we&rsquo;ve built and scaled 60+ mobile apps across creativity, productivity, wellness, language learning, and entertainment.
 
 
 Our flagship apps &mdash; Retake AI, Cleanup, Learna, and DramaPops &mdash; and many of them lead their categories globally. In 2024, we became the most downloaded app publisher on iOS, driven by cutting-edge AI research, sharp data-driven execution, and a relentless focus on product and marketing.
 
 
 We&rsquo;re a team of 300+ people across &Idot;stanbul and Barcelona who bring curiosity, passion, trust, and ownership to everything we build. Recognized as a #1 LinkedIn Top Startup and a Great Place to Work in Europe, Codeway is where ambitious people do their life&rsquo;s best work.
 
 
 We&rsquo;re building the next generation of consumer tech and reimagining what mobile apps can be.
 
 
 This is Codeway. This is our way. Join us.
 
 
 
 POSITION
 
 
 
 We are seeking an MLOps / Platform Engineer to design, build, and scale our GPU-enabled AI/ML infrastructure. This role will empower our AI researchers, data engineers, and product teams by providing them with robust, Kubernetes-based platforms for containerized workloads.
 
 
 The ideal candidate has a platform engineering mindset&mdash;focused on enabling teams through self-service tooling, automation, and reliability. You will take ownership of our GPU infrastructure, ensuring workloads scale efficiently, pipelines run smoothly, and deployments are reliable across environments.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, build, and operate Kubernetes-based GPU infrastructure for AI/ML research and production workloads.
 </li>
 <li>
 Provide self-service deployment capabilities to AI researchers, data engineers, and product teams.
 </li>
 <li>
 Implement and manage continuous delivery pipelines using Kubernetes-native deployment tools (e.g., ArgoCD).
 </li>
 <li>
 Configure and optimize GPU workloads (CUDA, drivers, device plugins, and scheduling strategies).
 </li>
 <li>
 Implement autoscaling strategies for both CPU and GPU workloads on Kubernetes clusters.
 </li>
 <li>
 Partner with data teams to ensure platforms are tailored to data pipelines, training workflows, and ML model lifecycle needs.
 </li>
 <li>
 Contribute to the adoption of ML orchestration and experiment tracking platforms (e.g., Kubeflow, MLflow, ClearML, Anyscale).
 </li>
 <li>
 Support notebook environments for experimentation (e.g., JupyterHub).
 </li>
 <li>
 Act as a platform engineering lead for AI/ML workloads&mdash;adopting the best practices, reliability, and cost-efficiency.
 
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Kubernetes (designing, operating, and troubleshooting clusters).
 </li>
 <li>
 Proven experience deploying workloads with ArgoCD or similar GitOps tools.
 </li>
 <li>
 Exposure to ML platforms such as Kubeflow, MLflow, ClearML, or Anyscale.
 </li>
 <li>
 Prior experience working with data engineering teams or ML model lifecycle management.
 </li>
 <li>
 Experience enabling notebook-based workflows (JupyterHub, SageMaker Studio, etc.).
 </li>
 <li>
 Knowledge of cloud platforms (AWS, GCP, or Azure) and their GPU offerings.
 </li>
 <li>
 Strong collaboration and communication skills&mdash;able to partner effectively with researchers, engineers, and product teams.
 
 
 
 
 </li>
 </ul>
 
 NICE TO HAVES
 
 
 
 
 <ul>
 <li>
 Hands-on experience with GPU configuration, CUDA, or NVIDIA ecosystem tools (NCCL, Triton Inference Server).
 </li>
 <li>
 Knowledge of autoscaling patterns for AI/ML workloads on Kubernetes (KEDA, HPA, VPA, custom controllers).
 </li>
 <li>
 Experience with observability and monitoring tools (Prometheus, Grafana, Loki, ELK, etc.).
 </li>
 <li>
 Solid understanding of containerization (Docker, OCI) and CI/CD pipelines.
 </li>
 <li>
 Familiarity with infrastructure as code (Terraform, Helm, Kustomize).
 </li>
 <li>
 Background in platform engineering, SRE, or DevOps with a focus on enabling other teams.
 
 
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 
 <ul>
 <li>
 Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
 </li>
 <li>
 A Competitive Compensation Package. Long story short, we take care of you.
 </li>
 <li>
 A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
 </li>
 <li>
 Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
 </li>
 <li>
 Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
 </li>
 <li>
 Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
 </li>
 <li>
 Sport Activities Support. We care about your physical wellbeing and support your gym membership.
 </li>
 <li>
 Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
 </li>
 <li>
 Udemy Free Pass. An unlimited Udemy subscription.
 </li>
 <li>
 Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
 </li>
 <li>
 English Course Support. Be more global and perform best at your work.
 </li>
 <li>
 Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
 </li>
 <li>
 A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
 </li>
 <li>
 Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
 </li>
 <li>
 Free Breakfast. At Codebrew - every morning at 9:30 AM.
 </li>
 <li>
 No Dress Code. Dress as you like.
 </li>
 <li>
 Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
 </li>
 <li>
 Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
 </li>
 <li>
 Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
 </li>
 <li>
 Software Support. Subscription to any software you might need to perform at your best.
 </li>
 <li>
 Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
 </li>
 <li>
 Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
 </li>
 <li>
 Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
 
 
 
 
 </li>
 </ul>
 
 THE RECRUITING PROCESS
 
 
 
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 
 
 
 <ul>
 <li>
 Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
 </li>
 <li>
 Case Study: We might send you a task to solve.
 </li>
 <li>
 Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
 </li>
 <li>
 Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
 </li>
 <li>
 Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
 </li>
 <li>
 Welcome Aboard! You are now a part of the team.
 
 
 
 
 </li>
 </ul>
 
 Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 
 
 
 "Candidate Information Notice"
 
 
 
 page at
 
 
 https://www.codeway.co
 
 
 . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 
 
 
 Privacy Notice for Employee Candidate
 
 
 "
 
 summarizes the data processing procedures during the application process.
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 
 
 https://www.codeway.co
 
 
 adresindeki
 
 
 
 "Aday Ayd&inodot;nlatma Metnimizin"
 
 
 
 sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 
 
 
 "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
 
 
 
 ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 
</div>

MLOps/Platform Engineer

<div>
 
 About Codeway
 
 
 Codeway is a global consumer tech company with more than 400M users worldwide.
 
 
 Since 2020, we&rsquo;ve built and scaled 60+ mobile apps across creativity, productivity, wellness, language learning, and entertainment.
 
 
 Our flagship apps &mdash; Retake AI, Cleanup, Learna, and DramaPops &mdash; and many of them lead their categories globally. In 2024, we became the most downloaded app publisher on iOS, driven by cutting-edge AI research, sharp data-driven execution, and a relentless focus on product and marketing.
 
 
 We&rsquo;re a team of 300+ people across &Idot;stanbul and Barcelona who bring curiosity, passion, trust, and ownership to everything we build. Recognized as a #1 LinkedIn Top Startup and a Great Place to Work in Europe, Codeway is where ambitious people do their life&rsquo;s best work.
 
 
 We&rsquo;re building the next generation of consumer tech and reimagining what mobile apps can be.
 
 
 This is Codeway. This is our way. Join us.
 
 
 
 POSITION
 
 
 
 We are seeking an MLOps / Platform Engineer to design, build, and scale our GPU-enabled AI/ML infrastructure. This role will empower our AI researchers, data engineers, and product teams by providing them with robust, Kubernetes-based platforms for containerized workloads.
 
 
 The ideal candidate has a platform engineering mindset&mdash;focused on enabling teams through self-service tooling, automation, and reliability. You will take ownership of our GPU infrastructure, ensuring workloads scale efficiently, pipelines run smoothly, and deployments are reliable across environments.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, build, and operate Kubernetes-based GPU infrastructure for AI/ML research and production workloads.
 </li>
 <li>
 Provide self-service deployment capabilities to AI researchers, data engineers, and product teams.
 </li>
 <li>
 Implement and manage continuous delivery pipelines using Kubernetes-native deployment tools (e.g., ArgoCD).
 </li>
 <li>
 Configure and optimize GPU workloads (CUDA, drivers, device plugins, and scheduling strategies).
 </li>
 <li>
 Implement autoscaling strategies for both CPU and GPU workloads on Kubernetes clusters.
 </li>
 <li>
 Partner with data teams to ensure platforms are tailored to data pipelines, training workflows, and ML model lifecycle needs.
 </li>
 <li>
 Contribute to the adoption of ML orchestration and experiment tracking platforms (e.g., Kubeflow, MLflow, ClearML, Anyscale).
 </li>
 <li>
 Support notebook environments for experimentation (e.g., JupyterHub).
 </li>
 <li>
 Act as a platform engineering lead for AI/ML workloads&mdash;adopting the best practices, reliability, and cost-efficiency.
 
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Kubernetes (designing, operating, and troubleshooting clusters).
 </li>
 <li>
 Proven experience deploying workloads with ArgoCD or similar GitOps tools.
 </li>
 <li>
 Exposure to ML platforms such as Kubeflow, MLflow, ClearML, or Anyscale.
 </li>
 <li>
 Prior experience working with data engineering teams or ML model lifecycle management.
 </li>
 <li>
 Experience enabling notebook-based workflows (JupyterHub, SageMaker Studio, etc.).
 </li>
 <li>
 Knowledge of cloud platforms (AWS, GCP, or Azure) and their GPU offerings.
 </li>
 <li>
 Strong collaboration and communication skills&mdash;able to partner effectively with researchers, engineers, and product teams.
 
 
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 
 <ul>
 <li>
 Hands-on experience with GPU configuration, CUDA, or NVIDIA ecosystem tools (NCCL, Triton Inference Server).
 </li>
 <li>
 Knowledge of autoscaling patterns for AI/ML workloads on Kubernetes (KEDA, HPA, VPA, custom controllers).
 </li>
 <li>
 Experience with observability and monitoring tools (Prometheus, Grafana, Loki, ELK, etc.).
 </li>
 <li>
 Solid understanding of containerization (Docker, OCI) and CI/CD pipelines.
 </li>
 <li>
 Familiarity with infrastructure as code (Terraform, Helm, Kustomize).
 </li>
 <li>
 Background in platform engineering, SRE, or DevOps with a focus on enabling other teams.
 
 
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
 </li>
 <li>
 A Competitive Compensation Package. Long story short, we take care of you.
 </li>
 <li>
 A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
 </li>
 <li>
 Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
 </li>
 <li>
 Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
 </li>
 <li>
 Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
 </li>
 <li>
 Sport Activities Support. We care about your physical wellbeing and support your gym membership.
 </li>
 <li>
 Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
 </li>
 <li>
 Udemy Free Pass. An unlimited Udemy subscription.
 </li>
 <li>
 Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
 </li>
 <li>
 English Course Support. Be more global and perform best at your work.
 </li>
 <li>
 Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
 </li>
 <li>
 A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
 </li>
 <li>
 Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
 </li>
 <li>
 Free Breakfast. At Codebrew - every morning at 9:30 AM.
 </li>
 <li>
 No Dress Code. Dress as you like.
 </li>
 <li>
 Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
 </li>
 <li>
 Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
 </li>
 <li>
 Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
 </li>
 <li>
 Software Support. Subscription to any software you might need to perform at your best.
 </li>
 <li>
 Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
 </li>
 <li>
 Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
 </li>
 <li>
 Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
 
 
 
 
 </li>
 </ul>
 
 THE RECRUITING PROCESS
 
 
 
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 
 
 
 <ul>
 <li>
 Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
 </li>
 <li>
 Case Study: We might send you a task to solve.
 </li>
 <li>
 Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
 </li>
 <li>
 Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
 </li>
 <li>
 Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
 </li>
 <li>
 Welcome Aboard! You are now a part of the team.
 
 
 
 
 </li>
 </ul>
 
 Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 
 
 
 "Candidate Information Notice"
 
 
 
 page at
 
 
 https://www.codeway.co
 
 
 . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 
 
 
 Privacy Notice for Employee Candidate
 
 
 "
 
 summarizes the data processing procedures during the application process.
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 
 
 https://www.codeway.co
 
 
 adresindeki
 
 
 
 "Aday Ayd&inodot;nlatma Metnimizin"
 
 
 
 sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 
 
 
 "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
 
 
 
 ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

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

Turk Telekom

<div>
 
 &Idot;&scedil; Zekas&inodot; ve Veri Y&ouml;neti&scedil;im Direkt&ouml;rl&uuml;&gbreve;&uuml; b&uuml;nyesinde yer alan Analitik Platformlar &amp; Yapay Zeka Uygulamalar&inodot; M&uuml;d&uuml;rl&uuml;&gbreve;&uuml; i&ccedil;in, &Idot;stanbul lokasyonundaki ekibimizin &ccedil;al&inodot;&scedil;malar&inodot;na destek olacak
 
 Yapay Zeka M&uuml;hendisi (AI Engineer)
 
 ar&inodot;yoruz.
 
 
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;:
 
 
 
 <ul>
 <li>
 &Idot;&scedil; hedeflerimize uygun a&ccedil;&inodot;k kaynakl&inodot; b&uuml;y&uuml;k dil modellerini ara&scedil;t&inodot;rmak, de&gbreve;erlendirmek ve projelere entegre etmek,
 </li>
 <li>
 Kurum i&ccedil;i dok&uuml;manlar ve veri kaynaklar&inodot; &uuml;zerinde RAG tabanl&inodot; AI &ccedil;&ouml;z&uuml;mleri tasarlamak,
 </li>
 <li>
 Prompt engineering stratejileri geli&scedil;tirmek ve kullan&inodot;c&inodot; deneyimini iyile&scedil;tiren ak&inodot;ll&inodot; AI ajanlar&inodot; olu&scedil;turmak,
 </li>
 <li>
 LLM&rsquo;ler i&ccedil;in ince ayar (fine-tuning) ve adaptasyon &ccedil;al&inodot;&scedil;malar&inodot;na katk&inodot;da bulunmak,
 </li>
 <li>
 Modellerin performans&inodot;n&inodot; (do&gbreve;ruluk, h&inodot;z, maliyet) izlemek, iyile&scedil;tirmek ve s&uuml;rd&uuml;r&uuml;lebilir hale getirmek,
 </li>
 <li>
 MLOps ve altyap&inodot; ekipleriyle yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak modellerin &ouml;l&ccedil;eklenebilir ve g&uuml;venilir &scedil;ekilde production ortam&inodot;na da&gbreve;&inodot;t&inodot;m&inodot;n&inodot; sa&gbreve;lamak,
 </li>
 <li>
 LLM alan&inodot;ndaki en yeni ara&scedil;t&inodot;rmalar&inodot;, akademik &ccedil;al&inodot;&scedil;malar&inodot; ve end&uuml;stri trendlerini takip ederek projelere entegre etmek,
 </li>
 <li>
 OpenShift &uuml;zerinde AI uygulamalar&inodot; deploy etme deneyimli,
 </li>
 <li>
 LLM fine-tuning (full veya parameter-efficient), instruction tuning veya alignment (RLHF, DPO vb.) konular&inodot;nda deneyimli,
 </li>
 <li>
 MCP (Model Context Protocol) mimarisinde somut proje deneyimli,
 </li>
 <li>
 REST API geli&scedil;tirme deneyimi,
 </li>
 <li>
 Veri yap&inodot;lar&inodot;, algoritmalar, concurrency (e&scedil;zamanl&inodot;l&inodot;k), otomatik testler (birim, entegrasyon) ve yaz&inodot;l&inodot;m tasar&inodot;m ilkeleri/desenleri konusunda g&uuml;&ccedil;l&uuml; yaz&inodot;l&inodot;m m&uuml;hendisli&gbreve;i altyap&inodot;s&inodot;,
 </li>
 <li>
 Veri i&scedil;leme veya ML i&scedil; ak&inodot;&scedil;lar&inodot;na h&acirc;kimiyet,
 </li>
 <li>
 AI Ops / MLOps ara&ccedil;lar&inodot; hakk&inodot;nda bilgi sahibi olmak (MLflow, CI/CD, model versiyonlama),
 </li>
 <li>
 Monitoring &amp; Observability &ccedil;&ouml;z&uuml;mleriyle deneyim (Grafana, Prometheus vb.),
 </li>
 <li>
 GitHub&rsquo;da proje yay&inodot;nlam&inodot;&scedil; olmak ve LLM&rsquo;ler ile ilgili proje deneyimi.
 </li>
 </ul>
 
 
 
 
 
 
 Genel Nitelikler:
 
 
 
 <ul>
 <li>
 &Uuml;niversitelerin Bilgisayar M&uuml;hendisli&gbreve;i, Yapay Zeka, Veri Bilimi veya ilgili m&uuml;hendislik b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Teknoloji takibi i&ccedil;in gerekli d&uuml;zeyde &Idot;ngilizce bilen,
 </li>
 <li>
 Analitik d&uuml;&scedil;&uuml;nce yetene&gbreve;ine sahip,
 </li>
 <li>
 Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n, insan ili&scedil;kileri kuvvetli ve kendini iyi ifade edebilen,
 </li>
 <li>
 B&uuml;y&uuml;k Dil Modelleri (LLM) ve Generative AI teknolojilerine ilgi ve temel deneyim (tez, staj, proje, ara&scedil;t&inodot;rma &ccedil;al&inodot;&scedil;malar&inodot;).
 </li>
 <li>
 Python&rsquo;a h&acirc;kim olmak ve pop&uuml;ler AI k&uuml;t&uuml;phaneleri (Transformers, Hugging Face, LangChain) hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 RAG (Retrieval-Augmented Generation) altyap&inodot;lar&inodot; hakk&inodot;nda bilgi sahibi olmak,
 </li>
 <li>
 Vekt&ouml;r veritabanlar&inodot; (FAISS, Qdrant, Milvus vb.) ile &ccedil;al&inodot;&scedil;m&inodot;&scedil; olmak,
 </li>
 <li>
 LLM uygulama entegrasyon kal&inodot;plar&inodot;n&inodot; anlayabilmek,
 </li>
 <li>
 Full-stack entegrasyon bilgisine sahip olmak (frontend&ndash;backend entegrasyonu),
 </li>
 <li>
 &Idot;leri seviye prompting y&ouml;ntemleri hakk&inodot;nda (Chain-of-Thought, ReAct, Plan-and-Act vb.) ilgi ve deneyim sahibi olmak,
 </li>
 <li>
 SQL bilgisi ve veriyle &ccedil;al&inodot;&scedil;abilme yetkinli&gbreve;ine sahip olmak,
 </li>
 <li>
 Containerization teknolojileri (Docker, Kubernetes) konusunda deneyimli olmak,
 </li>
 <li>
 Merakl&inodot;, &ouml;&gbreve;renmeye a&ccedil;&inodot;k, tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na uygun olmak.
 </li>
 <li>
 Oracle veritaban&inodot; hakk&inodot;nda deneyimli, Veri Ambar&inodot; appliance olarak ExaData&rsquo;ya hakim.
 </li>
 </ul>
 
 
 
 
 
 &Ccedil;al&inodot;&scedil;an aday ayd&inodot;nlatma metnimiz i&ccedil;in:
 
 
 
 https://turktelekomkariyer.com.tr/yasal-politikalar/aydinlatma-metni/
 
</div>

Yapay Zeka Mühendisi (AI Engineer)

Randstad Türkiye

<div>
 
 We are looking for a
 
 "AI Research Engineer"
 
 specified in Recommendation Project for our global business partner runs in
 
 Telecommunication Industry
 
 .
 
 
 
 
 
 
 Description
 
 
 
 
 
 Key areas of responsibility will be:
 
 
 
 
 
 
 <ul>
 <li>
 Make research on retrieval, pre-rank, and rank stages of Recommenders Systems,
 </li>
 <li>
 Design and build scalable ML services,
 </li>
 <li>
 Deploy ML services to production at scale considering resource constraints,
 </li>
 <li>
 Monitoring models to evaluate and improve services online,
 </li>
 <li>
 Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance,
 </li>
 <li>
 Consult with the other teams to determine the requirements and formalize the possible ML research directions.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 Essential technical requirements:
 
 
 
 
 
 
 
 
 
 A. Basic computer science and programming languages
 
 
 
 
 
 
 <ul>
 <li>
 Understanding of data structures, data modeling, and software architecture,
 </li>
 <li>
 Having expertise in object-oriented programming,
 </li>
 <li>
 Ability to write reusable and easily-maintainable code using beautiful and proper design patterns,
 </li>
 <li>
 Ability to write robust and optimized code in Python.
 </li>
 <li>
 Strong programming skills (Python, SQL, etc.) and experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Familiar with development processes (CI/CD, DevOps, MLOps)
 </li>
 </ul>
 
 
 
 
 
 
 B. Machine Learning
 
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of Neural Networks in theory such as convex optimization, hessian approximations, conjugate gradient, and Gauss-Newton steps,
 </li>
 <li>
 Familiarity with modern machine learning frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 C. Recommender System, related NLP and Computer Vision fields
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning/AI Engineer or similar role building largescale recommender systems to solve real live-stream problems,
 </li>
 <li>
 Practical experience in deploying and optimizing ML models in production,
 </li>
 <li>
 Experience in one of the fields: Deep Learning-based recommender models, NLP tasks (vector semantics such as TF-IDF or neural word embeds, entity labeling, text classification, etc.), Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.)
 </li>
 </ul>
 
 
 
 
 
 
 D. Working efficiency
 
 
 
 
 
 
 <ul>
 <li>
 Fully-easy working capability in version control systems such as Gitlab or Github,
 </li>
 <li>
 Experience in Docker for building a simulation of the production environment,
 </li>
 <li>
 Solid understanding of JSON file, and schema.
 </li>
 </ul>
 
 
 
 
 
 
 E. Academic
 
 
 
 
 
 
 
 Being published in Articles and Proceedings in reputable journals related to recommenders systems such as ACL and SIGIR is a significant plus.
 
 
 
 
 
 
 
 Essential non-technical requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Fluent in English, both written and spoken,
 </li>
 <li>
 Ability to work in a multi-disciplinary and multi-cultural team.
 </li>
 </ul>
</div>

Artificial Intelligence 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>
Lead the design and architecture of scalable AI and ML solutions across cloud and on-prem environments.</li>
<li>Translate business challenges into AI-based solutions, guiding presales discussions and aligning proposals with KPIs.</li>
<li>Collaborate with cross-functional teams to integrate AI components into existing enterprise systems.</li>
<li>Provide technical guidance to delivery teams, helping data scientists and engineers with model development, deployment, and lifecycle management</li>
<li>Evaluate emerging AI technologies and tools, contributing to the company&rsquo;s AI roadmap and standards.</li>
<li>Ensure compliance with data governance, security, and ethical AI principles.</li>
<li>Present technical concepts to non-technical stakeholders in a clear and structured manner, especially during client engagements and presales activities.</li>
</ul>
Requirements:<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li>
<li>7&ndash;15 years of experience in Traditional ML/Generative A</li>
<li>Proven experience designing and deploying ML models in production (e.g., using TensorFlow, PyTorch, or scikit-learn).</li>
<li>Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps frameworks (Kubeflow, MLflow, SageMaker, etc.).</li>
<li>Strong data engineering skills, including SQL, data modeling, ETL/ELT processes, and experience with cloud data platforms (BigQuery, Redshift, Snowflake, etc.).</li>
<li>Solid understanding of APIs, microservices, and event-driven architectures.</li>
<li>Strong knowledge of LLMs, agentive AI, and vector databases is a plus</li>
<li>Excellent communication and presentation skills, with the ability to work across business and technical teams and drive presales/client discussions</li>
<li>Must be based in Istanbul or willing to relocate.</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>
Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

AI Solution Architect

<div><div>At EY, we&rsquo;re all in to shape your future with confidence.</div><div> 
</div><div>We&rsquo;ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. 
</div><div></div><div>Join EY and help to build a better working world.</div><div></div><div> 
</div><div>The opportunity</div><div> 
</div><div>EY is a global leader in Assurance, Consulting, SaT (Strategy &amp;Transactions) and Tax services. 
 
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. The insights and quality services we provide help build trust and confidence in the capital markets and in economies the world over. Our offices around the world use the same methodology and are linked through an integrated technology platform to enable instantaneous communication and collaboration among team members, regardless of location. As a member of EY Global, in T&uuml;rkiye we operate in 6 offices located in &#304;stanbul, Ankara, Bursa, &#304;zmir and Adana, with more than 1800 people for over 40 years. 
At EY, we empower our 400.000 people in more than 150 countries with the right mindsets and skills to navigate what&rsquo;s next, become the transformative leaders the world needs, pursue careers as unique as they are, and build their own exceptional EY experiences. We work together across our full spectrum of services and skills so that business, people and the planet can thrive together. 
 
Together, all in, to build a better working world.</div><div></div><div> 
We are looking for a Senior AI Consultant (ML/LLM Operations) to join our Technology Consulting team, driving innovation through advanced AI and large language model solutions.</div><div></div><div> 
What we look for</div><div> 
</div><ul><li>Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related technical field.</li><li>
5+ years of experience in AI, MLOps, or related consulting roles.</li><li>
Strong expertise in Python or R, specializing in machine learning and natural language processing (NLP) workflows.</li><li>
Proven experience with containerization (Docker) and orchestration (Kubernetes) technologies.</li><li>
Deep familiarity with leading cloud platforms (AWS, Azure, GCP) and their AI/ML offerings.</li><li>
Hands-on experience with modern CI/CD pipelines and version control systems (e.g., Git, GitHub).</li><li>
Practical knowledge of large language models (LLM), including frameworks such as TensorFlow, PyTorch, Hugging Face, or OpenAI.</li><li>
Experience developing and optimizing NLP solutions, including prompt engineering, fine-tuning, and deploying LLMs in production environments.</li><li>
Expertise in data modeling, ETL processes, and big data technologies (e.g., Apache Spark, Hadoop).</li><li>
Proven capability to mentor and guide junior team members and manage complex AI projects.</li><li>
Strong analytical, strategic thinking, and problem-solving skills.</li><li>
Excellent communication and presentation abilities, thriving in collaborative consulting environments.</li></ul><div></div><div> 
What we offer you</div> 
<div></div><ul><li>
An engaging and forward-thinking environment where you can shape transformative AI solutions.</li><li>
Opportunities to work with cutting-edge AI and LLM technologies.</li><li>
A collaborative, inclusive culture that values continuous learning, professional growth, and innovation.</li></ul><div></div><div> 
At EY, we&rsquo;ll develop you with future-focused skills and equip you with world-class experiences. We&rsquo;ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.</div><div></div><div> 
Are you ready to shape your future with confidence? Apply today.</div><div> 
</div><div>To help create the best experience during the recruitment process, please describe any disability-related adjustments or accommodations you may need.</div><div></div> 
EY | Building a better working world<div>
EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.</div><div></div><div> 
Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.</div><div></div><div> 
EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.</div></div><div></div>

EY Türkiye - Senior AI Consultant (ML/LLM Operations)

Explore 285+ Mlops platform engineer in Istanbul this November. Find roles across top companies and apply now to boost your career.

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AI Solution Architect

EY Türkiye - Senior AI Consultant (ML/LLM Operations)