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ai engineer

Commencis

<div><div>We are looking for a highly motivated and ambitious <b>Cloud AI Engineer</b> to join our team.</div><div>
</div><div>
Cloud AI Engineer is responsible for designing and delivering AI/ML projects on AWS Cloud by understanding and translating the clients&rsquo; business use cases to design and implement an integrated solution suitable to their needs. Cloud AI Engineer interacts with different internal and external roles like developers, security experts, solutions architects, etc.</div><div></div><div><b><br>
If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!</b></div>
<h3 class="jobSectionHeader"><b>Responsibilities
</b></h3><ul><li>Design, implement, and operate cloud-native AI/ML services that are secure, reliable, and cost-efficient ensuring that they meet the business objectives and adhere to service level agreements (SLA).</li><li>
Deploy and maintainAI applications on cloud- architecture.</li><li>
Build retrieval-augmented generation (RAG) stacks: embeddings, vector stores, chunking, and evaluation.</li><li>
Create MLOps foundations: experiment tracking, model registry, CI/CD for data &amp; models, and Infrastructure-as-Code.</li><li>
Investigate new techniques, tools, and methods that might increase efficiency among engineering &amp; technology and cloud teams, as well as leading execution processes of topics evaluated &amp; planned for roll-out.</li><li>
Collaborate with other technical leaders and business stakeholders to align all constraints and come up with solutions regarding project/product/initiative outputs.</li><li>
Be accountable for the reliability and security of cloud infrastructure and services.</li><li>
Provide visibility of performance, cost, and the security of cloud infrastructure and services.</li><li>
Drive continuous improvement, continuous delivery, and lean practices within the cloud team.</li><li>
Keep up to date on modern technologies and trends and advocate for their inclusion within products when it makes sense.</li><li>
Identify emerging technology solutions that reduce costs, increase efficiencies, enhance capabilities, reduce risk and improve security.</li><li>
Ensure that all cloud technology applications create a positive customer experience.</li></ul><h3 class="jobSectionHeader"><b>
Qualifications
</b></h3><ul><li>BS/MS degree in Computer Science/Computer Engineering or related field</li><li>
Up to 2 years of similar job experience</li><li>
Proficiency in Unix/Linux environments.</li><li>
Experience in Gen AI/ML applications, security, compute, containerization, data, application integration, cost optimization, performance enhancement services and technologies on cloud</li><li>
Sound understanding of LLM systems: tokenization/embeddings, context management, guardrails, offline/online evaluation and cloud architecture design</li><li>
Familiarity with Amazon Bedrock (Claude/Titan/Cohere) for inference and SageMaker basics (training/inference endpoints).</li><li>
Code development in Python, GoLang</li><li>
Fluent in written and spoken English, in addition to Turkish</li></ul><div></div><h3 class="jobSectionHeader"><b><br>
Nice to have</b></h3><ul><li>
Knowledge of other cloud providers such as Azure, GCP, Alibaba Cloud, etc.</li><li>
AWS certificates like GenAI Practitioner, Machine Learning Engineer &ndash; Associate, Data Engineer &ndash; Associate, Machine Learning&ndash; Speciality</li><li>
Experience with relational, NoSQL databases like MySQL, PostgreSQL, Microsoft SQL Server, DynamoDB, MongoDB, Cassandra etc.), vector databases (pgvector/FAISS, Pinecone, Weaviate) and feature stores (e.g., Feast)</li><li>
FinOps practices and cost/performance tuning for LLM inference (throughput, latency, caching).</li><li>
Experience with Amazon SageMaker Projects/Experiments/Model Registry and SageMaker Pipelines; ability to fine-tune open-source models (e.g., HuggingFace) using PEFT/LoRA/QLoRA and deploy via Real-time/Serverless/Async/MME endpoints.</li><li>
Knowledge of managed AI services (Textract, Comprehend, Transcribe, Rekognition, Kendra) and when to prefer &ldquo;build vs buy&rdquo; relative to Bedrock/SageMaker.</li></ul><div><b>
Why Commencis?</b></div><div>
</div><div>
We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div><div>
</div><div><b>
Competitive Compensation &amp; Benefits:</b> We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from-home support, and a paid birthday off.</div><div>
</div><div><b>
Happier Weekdays:</b> We offer flexible working hours, including a remote working option. Enjoy online events, guest speakers, office refreshments, a meeting-light culture, and many more perks to enhance your weekdays.</div><div>
</div><div><b>
Never Stop Learning:</b> We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div><div>
</div><div><b>
Community &amp; Socials:</b> We are a tight-knit community that loves gathering together. Our social activities include happy hours, workshops, a New Year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.</div><div>
</div><div><b>
Open Culture:</b> We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.</div><div></div><div><br>
</div><div><b>
About Commencis</b></div><div></div><div><br>
Join us in paving the way for a thriving digital society!</div><div></div><div><br>
Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.</div><div></div><div><br>
We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.</div><div></div><div><br>
If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div><div>
</div><div><b>
We will process your personal data as part of our recruitment procedures. To find out more, please consult our </b><b>Candidate Privacy Notices</b><b>.</b></div></div>

Cloud AI Engineer

KKB Kredi Kayıt Bürosu

<div>
 <p>
  As KKB, we have been the symbol of sustainable trust in financial life for more than 25 years.
 </p>
 <p>
  With the support of our competent human resources and innovative vision in the field of financial technologies, we develop products and services that are recognized as reference points.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking a hands-on AI Engineer to design, build, and deploy cutting-edge artificial intelligence solutions. You will be responsible for the full lifecycle of AI applications, with a focus on Agentic AI frameworks, Retrieval-Augmented Generation (RAG), and advanced generative models (model training, fine-tuning, evaluations, guardrails). The role also includes an applied research component: keeping up with the latest literature, experimenting with novel methods, and contributing to company research initiatives (including publishing and R&amp;D projects). You will join a team that bridges applied research and production systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Would you like to be the newest member / a member of this qualified team that develops its business goals on a global scale in order to be an exemplary credit bureau to the world?
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we look for:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Expert-level proficiency in
   <strong>
    Python
   </strong>
   and its core AI/ML libraries (PyTorch, HF Transformers, NumPy).
  </li>
  <li>
   Proven experience building solutions with
   <strong>
    vector databases
   </strong>
   (e.g., Qdrant, Weaviate, Pinecone, Chroma, Faiss, LanceDB, Qdrant).
  </li>
  <li>
   Deep understanding of LLMs,
   <strong>
    transformer architectures
   </strong>
   , fine-tuning and post-training methodologies. Experience with multi-modal models (vision, audio, etc.).
  </li>
  <li>
   Hands-on experience building
   <strong>
    agentic AI applications
   </strong>
   using frameworks like LangGraph, CrewAI, AutoGen, Pydantic AI or similar.
  </li>
  <li>
   Experience with
   <strong>
    AI safety
   </strong>
   , alignment, adversarial robustness.
  </li>
  <li>
   Experience developing and deploying
   <strong>
    RESTful APIs
   </strong>
   and microservices (e.g., using FastAPI).
  </li>
  <li>
   Solid software engineering practices (Git, CI/CD,testing, containerization, Docker).
  </li>
  <li>
   Data engineering skills required to build the
   <strong>
    data pipelines for AI
   </strong>
   applications.
  </li>
  <li>
   Familiarity with cloud services (Azure, GCP, AWS) for AI workloads.
  </li>
  <li>
   Preferably, B.S./M.S. in Computer Science, AI, or a related field.
  </li>
  <li>
   Preferably, Prior experience building
   <strong>
    agentic AI applications
   </strong>
   in real-world projects.
  </li>
  <li>
   Preferably, Experience with
   <strong>
    MLOps platforms
   </strong>
   (MLflow, Kubeflow, Vertex AI, SageMaker, or similar).
  </li>
  <li>
   Preferably, Proficiency with AI-powered coding tools (GitHub Copilot, Cursor, Claude Code, etc.).
  </li>
  <li>
   Preferably, Research background with publications or patents.
  </li>
  <li>
   Preferably, Contributions to
   <strong>
    open-source AI projects
   </strong>
   .
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What your responsibilities will be:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and deploy end-to-end AI applications and scalable API services (mainly in Python).
  </li>
  <li>
   Build and optimize
   <strong>
    RAG pipelines
   </strong>
   , leveraging vector databases (e.g., Qdrant, Weaviate, Pinecone, Faiss) and search/retrieval methods for high-performance systems. Optimize prompts for effective applications.
  </li>
  <li>
   Train, fine-tune, and post-train
   <strong>
    Large Language Models (LLMs)
   </strong>
   using methods such as LoRA, PEFT, DPO/PPO, and evaluate/optimize them for production use (quantization).
  </li>
  <li>
   Build and experiment with
   <strong>
    Agentic AI frameworks
   </strong>
   for reasoning, tool use, and multi-agent systems (e.g., LangGraph, CrewAI, AutoGen, Pydantic AI).
  </li>
  <li>
   Manage the AI model lifecycle, including MLOps, scaling, monitoring, containerization (Docker), and deployment on local or cloud infrastructure.
  </li>
  <li>
   Collaborate with infrastructure teams to productionize AI models.
  </li>
  <li>
   Perform applied research on state-of-the-art methods, contributing to publications, R&amp;D projects, and innovation initiatives.
  </li>
  <li>
   Collaborate with cross-functional teams to communicate technical concepts, understand requirements to prototype/build successful AI applications and productionize AI solutions.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   We offer alternative working hours (08.00-17.00/09.00-18.00) that respond to today's needs and provide flexibility in managing your time,
  </li>
  <li>
   We care about you. For this reason, we are happy to provide you with a comfortable workspace as well as opportunities where you can improve yourself by acquiring new knowledge,
  </li>
  <li>
   We contribute to your career journey by providing unlimited training rights on platforms such as LinkedIn Learning, Pluralsight, covering the purchase of technical certificates and supporting your education in programs such as master's and doctoral programs,
  </li>
  <li>
   We know that learning and education continue for a lifetime and we bring together technical, professional and personal development training programs and development opportunities that we think can support you on your career path,
  </li>
  <li>
   With our social clubs, we support you to discover new hobbies and create a synergy with your teammates in a social environment,
  </li>
  <li>
   As an organization, we attach importance to employee volunteerism. All our employees can participate in social responsibility projects with non-governmental organizations under the umbrella of the KKB Volunteers Platform and we make a big difference with small acts of kindness,
  </li>
  <li>
   We care about your health; we offer you and your loved ones (spouse/children) a comprehensive health insurance package and title-independent life insurance coverage,
  </li>
  <li>
   We create a Corporate Contribution Private Pension plan for your future dreams,
  </li>
  <li>
   Considering their past seniority, we base our annual leave policy on their total seniority,
  </li>
  <li>
   Birthday leave and more awaits you!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  For more information about us, please visit the link:
 </p>
 <p>
  https://www.kkb.com.tr/hakkimizda
 </p>
 <p>
  <br/>
 </p>
 <p>
  6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye https://www.kkb.com.tr/kkb-calisan-adayi-kvkk-metni adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.
 </p>
 <p>
 </p>
</div>


Senior AI Engineer

Turk Telekom

<div>
 <p>
  &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
  <strong>
   Yapay Zeka M&uuml;hendisi (AI Engineer)
  </strong>
  ar&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    &Idot;&scedil; Tan&inodot;m&inodot;:
   </u>
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Genel Nitelikler:
   </u>
  </strong>
 </p>
 <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>
 <p>
  <br/>
 </p>
 <p>
  <u>
   &Ccedil;al&inodot;&scedil;an aday ayd&inodot;nlatma metnimiz i&ccedil;in:
  </u>
 </p>
 <p>
  https://www.turktelekomkariyer.com.tr/aydinlatma-metni.aspx
 </p>
</div>


Yapay Zeka Mühendisi (AI Engineer)

KoçDigital

<div>
 <p>
  <strong>
   Company Profile
  </strong>
 </p>
 <p>
  At Ko&ccedil;Digital, we combine the strengths of Ko&ccedil; Holding to help our clients tackle their most complex digital challenges. We deliver sustainable impact, lead with breakthrough insights, and enable organizations to thrive. Leveraging Advanced Analytics, Generative AI, and IoT solutions, we unlock tangible, lasting value across industries.
 </p>
 <p>
  You will join a constellation of AI-driven teams focused on delivering practical, real-world outcomes using the latest AI technologies, from edge analytics to multi-agent systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Role Profile
  </strong>
 </p>
 <p>
  We are seeking Senior AI Engineers who are passionate about agentic AI systems, llm adaptation, and real-world deployments. The role is hands-on and research-driven, blending model engineering with system design. You will work on data analysis, large-scale generative AI, multi-agent orchestration, and advanced NLP/vision applications that power next-generation enterprise solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <strong>
   Academic &amp; Professional Background
  </strong>
 </p>
 <ul>
  <li>
   Degree in Computer Science, Data Science, Industrial/Mathematics Engineering, or related fields (MS/PhD preferred).
  </li>
  <li>
   5+ years hands-on experience in applied data science or AI engineering, with at least 2+ years in llm or agentic AI development.
  </li>
 </ul>
 <p>
  <strong>
   Technical Expertise
  </strong>
 </p>
 <ul>
  <li>
   Proven experience in fine-tuning, and deploying LLMs/VLMs (e.g., GPT, LLaMA, Gemma, Mistral, etc.).
  </li>
  <li>
   Hands-on experience with OpenAI APIs and ecosystem (chat/completions, embeddings, fine-tuning, tool-calling), and ability to integrate them into agentic workflows.
  </li>
  <li>
   Practical expertise with LangGraph (or equivalent frameworks) for multi-agent orchestration and workflow automation.
  </li>
  <li>
   Hands-on experience with vLLM, PEFT/LoRA, and parameter-efficient tuning for scalable and cost-effective deployment.
  </li>
  <li>
   Strong background in NLP use-cases (summarization, QA, information extraction, topic clustering, retrieval-augmented generation).
  </li>
  <li>
   Experience in agentic AI systems (MCP, A2A protocols, tool-calling, autonomous decision making).
  </li>
  <li>
   Familiarity with multi-modal AI (text, image, structured data) and vision-language models.
  </li>
  <li>
   Proficiency in FastAPI for serving models and integrating agentic workflows into production systems.
  </li>
  <li>
   Expertise in working with structured databases (SQL/Postgres), unstructured data systems (NoSQL), and vector databases (e.g., Pinecone, Weaviate, FAISS, Milvus).
  </li>
  <li>
   Strong programming skills in Python, with experience in PyTorch, TensorFlow, Hugging Face ecosystem.
  </li>
  <li>
   Cloud &amp; distributed computing experience (Azure, AWS, or GCP). GPU programming knowledge is a plus.
  </li>
  <li>
   Experience in Docker and containerized deployments, enabling scalable and portable AI/agentic systems across environments.
  </li>
  <li>
   Experience with MLOps pipelines, data engineering, and knowledge graphs preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Ability to translate business problems into AI solutions with measurable ROI.
  </li>
  <li>
   Curious, proactive, and impact-driven mindset.
  </li>
  <li>
   Excellent analytical thinking, problem solving, and team collaboration skills.
  </li>
  <li>
   Strong communication skills in English (both technical and non-technical).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Do
  </strong>
 </p>
 <ul>
  <li>
   Design, build, and deploy advanced agentic AI systems, orchestrating LLMs, tools, and workflows using LangGraph, MCP, and agent frameworks.
  </li>
  <li>
   Implement parameter-efficient fine-tuning (PEFT/LoRA) and optimize LLM/VLM inference using vLLM for production use-cases.
  </li>
  <li>
   Develop next-gen NLP and multimodal solutions: summarization, retrieval-augmented QA, creative content generation, intelligent copilots, compliance automation, and more.
  </li>
  <li>
   Architect A2A (Agent-to-Agent) communication protocols for collaborative multi-agent ecosystems.
  </li>
  <li>
   Build and serve AI solutions via FastAPI, ensuring scalability, security, and enterprise-grade integration.
  </li>
  <li>
   Design data pipelines for structured, unstructured, and vector data stores, ensuring efficient retrieval and grounding for AI agents.
  </li>
  <li>
   Collaborate with data engineers, product managers, and UX teams to ensure solutions meet business and technical requirements.
  </li>
  <li>
   Lead technical knowledge sharing (trainings, mentoring, best practices) to elevate the AI team&rsquo;s capabilities.
  </li>
  <li>
   Evaluate state-of-the-art AI research and translate into deployable solutions for enterprise environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we offer:
  </strong>
 </p>
 <ul>
  <li>
   Akademi Plus - Technical and Personal Development Trainings
  </li>
  <li>
   Ko&ccedil; Group and internal career opportunities/rotations
  </li>
  <li>
   On-campus sports center and Ko&ccedil; Community Sports Club opportunities
  </li>
  <li>
   Flextra - Flexible benefits package
  </li>
  <li>
   Social Support Payments
  </li>
  <li>
   Mobile phone and internet
  </li>
  <li>
   TokenFlex digital meal card
  </li>
  <li>
   Birthday leave
  </li>
  <li>
   The privileged world of being a Ko&ccedil; member with Ko&ccedil; Ailem, Ko&ccedil; Akademi, and Ko&ccedil; Healthcare
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist

Buluttan

<div>
 <p>
  <strong>
   Job Overview
  </strong>
 </p>
 <p>
  We are looking for a
  <strong>
   Machine Learning Engineer
  </strong>
  who is willing to tackle the challenges of
  <strong>
   big weather data
  </strong>
  at Buluttan Weather Intelligence.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company Overview
  </strong>
 </p>
 <p>
  Buluttan is a Istanbul-based weather intelligence company providing services worldwide. We are working with large scale weather data and providing critical weather forecasts &amp; alerts &amp; algorithms for various industries. These include, but not limited to,
  <strong>
   renewable energy, mobility, logistics,
  </strong>
  etc&hellip; We do love meteorology and would like to mix it with cutting edge technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Buluttan is highly invested in
  <strong>
   climate change research
  </strong>
  and its effects on people &amp; companies. We do have a social media presence as well where we are trying to create a weather-conscious community. You can follow us at Instagram
  <strong>
   (@buluttanapp
  </strong>
  ) or on LinkedIn (https://tr.linkedin.com/company/buluttan).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design and implement regression and classification algorithms to improve the accuracy of short-term weather forecasts, focusing on
   <strong>
    renewable energy production
   </strong>
   and
   <strong>
    extreme weather alerts
   </strong>
   .
  </li>
  <li>
   <strong>
    Deploy
   </strong>
   machine learning models to production, analyze and track their performance.
  </li>
  <li>
   Analyze and interpret
   <strong>
    spatially complex datasets
   </strong>
   related to numerical weather prediction (NWP) models, radar and satellite imagery, atmospheric and climate variables.
  </li>
  <li>
   Assist in the creation of
   <strong>
    data visualizations and dashboards
   </strong>
   to provide insights for internal and external stakeholders.
  </li>
  <li>
   Stay ahead of the latest developments in the field of Meteorology &amp; Artificial Intelligence and drive Buluttan&rsquo;s AI vision in meteorology.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   B.Sc/M.Sc/PhD in Computer Science, Data Science, Mathematics, Statistics, Meteorology, Physics, or any related department.
  </li>
  <li>
   <strong>
    2+ years
   </strong>
   customer-facing, project-delivery experience, professional services, and/or consulting experience.
  </li>
  <li>
   Experience in working with ML models in
   <strong>
    production
   </strong>
   .
  </li>
  <li>
   Strong foundation in
   <strong>
    Machine Learning
   </strong>
   .
  </li>
  <li>
   Strong proficiency in
   <strong>
    Python
   </strong>
   ,
   <strong>
    SQL
   </strong>
   , and
   <strong>
    Git
   </strong>
   .
  </li>
  <li>
   Willingness to explore and actively use
   <strong>
    AI coding assistants
   </strong>
   (e.g., Cursor, Copilot, Claude Code) tools to accelerate development.
  </li>
  <li>
   Trying to follow
   <strong>
    best software development practices
   </strong>
   (clean code, testing, version control).
  </li>
  <li>
   Proven reputation of problem-solving techniques, attention to detail, stakeholder management, requirements gathering, and professional communication skills.
  </li>
  <li>
   <strong>
    Full ownership &amp; capability of managing responsibilities with minimal guidance.
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Nice to have
  </strong>
 </p>
 <ul>
  <li>
   Experience with MLOps best practices.
  </li>
  <li>
   Experience with experiment tracking tools (MLFlow, Weights &amp; Biases, etc.)
  </li>
  <li>
   Experience with time series regression &amp; forecasting algorithms.
  </li>
  <li>
   Experience working with weather data, radar and satellite image recognition.
  </li>
  <li>
   Familiarity with GCP &amp; data engineering pipelines.
  </li>
  <li>
   Having solved Physics based problems.
  </li>
  <li>
   Knowledge of data visualization tools (Grafana, Tableau, Looker).
  </li>
  <li>
   Passion for meteorology.
  </li>
  <li>
   An active stance on climate change &amp; sustainability.
  </li>
 </ul>
 <p>
  <br/>
 </p>
</div>


Machine Learning Engineer

Libra Softworks

<div>
 <p>
  We&rsquo;re looking for a
  <strong>
   Machine Learning Engineer
  </strong>
  to design, build, and deploy predictive models that shape the future of our games. You&rsquo;ll work closely with data and product teams to deliver insights and improve player experiences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you&rsquo;re passionate about using ML to solve real problems and thrive in a collaborative environment where your work directly impacts strategy and outcomes, this role is for you! 🚀
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who we think will be a great fit for this role:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field,
  </li>
  <li>
   Proven experience with ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch),
  </li>
  <li>
   Proficient in Python and SQL; comfortable with large-scale datasets,
  </li>
  <li>
   Solid knowledge of predictive modeling, classification, clustering, and recommendation systems,
  </li>
  <li>
   Familiarity with A/B testing and experimental design, and a desire to support data science initiatives,
  </li>
  <li>
   Experience deploying models in production environments and working with cloud services for MLOps (e.g., AWS SageMaker, Google Vertex AI, Databricks) is a strong plus,
  </li>
  <li>
   Strong problem-solving and communication skills,
  </li>
  <li>
   Passion for games and improving player experiences through intelligent systems.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll be doing:
  </strong>
 </p>
 <ul>
  <li>
   Build and optimize ML models that predict player behavior (e.g., churn, lifetime value, engagement),
  </li>
  <li>
   Partner with cross-functional teams to translate business challenges into ML solutions,
  </li>
  <li>
   Support data science tasks such as cohort analysis, retention breakdowns, KPI deep dives and A/B test design,
  </li>
  <li>
   Continuously improve existing models by integrating new data signals and testing novel approaches,
  </li>
  <li>
   Contribute to internal tools and pipelines for efficient experimentation and deployment.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are
  </strong>
 </p>
 <p>
  <strong>
   Libra Softworks
  </strong>
  , founded in 2016, is a passionate and creative entertainment studio committed to bringing cheerful moments to players worldwide. We create original, engaging content that resonates deeply with our users and delivers unforgettable experiences.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are driven by innovation and the ambition to scale our success globally. Our free-spirited team thrives in a collaborative atmosphere, supported by a spacious office, recreational zones, diverse snacks, and flexible working conditions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <ul>
  <li>
   Be part of a creative and supportive environment
  </li>
  <li>
   Play a key role in shaping the culture of a growing game studio
  </li>
  <li>
   Make a real impact &mdash; we move fast and value initiative
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  🎯
  <strong>
   Ready to Apply?
  </strong>
 </p>
 <p>
  Send your application now &mdash; we&rsquo;re excited to hear from you! 🚀
 </p>
</div>


Eczacıbaşı Holding

<div>
 <p>
  <strong>
   Eczac&inodot;ba&scedil;&inodot; Holding
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Established by Dr. Nejat F. Eczac&inodot;ba&scedil;&inodot; in 1942, Eczac&inodot;ba&scedil;&inodot; Group is one of Turkey's leading industrial conglomerates, operating primarily in construction products, consumer products, healthcare, and natural resources sectors for both national and international markets. It has a total of 50 entities, including one foreign partnership, more than 13,500 employees also engaging in real estate development, natural resources, and information technology.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Do We Expect from Our New Team Member?
  </strong>
 </p>
 <ul>
  <li>
   If you can design and implement Generative AI solutions that enhance business value&mdash;developing use cases, integrating LLMs into analytical workflows, and building intelligent systems that support decision-making and innovation,
  </li>
  <li>
   If you can lead and contribute to end-to-end Gen AI and advanced analytics projects, transforming data into strategic insights and scalable solutions,
  </li>
  <li>
   If you can design, fine-tune, and deploy LLMs or RAG pipelines to meet specific business needs, ensuring high performance and relevance,
  </li>
  <li>
   If you are passionate about researching cutting-edge Gen AI trends, experimenting with new architectures, and turning prototypes into production-ready tools,
  </li>
  <li>
   If you are capable of monitoring, evaluating, and optimizing Gen AI model performance under evolving conditions and use cases,
  </li>
  <li>
   If you are eager to shape and scale our Gen AI ecosystem, collaborating with other teams and advocating for responsible AI practices.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   You are exactly the person we are looking for!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your team is waiting for you!
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What kind of teammate are we looking for?
  </strong>
 </p>
 <ul>
  <li>
   A degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. A Master's or PhD in AI, NLP, or Data Science is a strong plus.
  </li>
  <li>
   Minimum of 5 years of experience in data science, with hands-on experience in Gen AI, NLP, or LLM development.
  </li>
  <li>
   Strong knowledge and experience in training, fine-tuning, and evaluating Large Language Models (LLMs).
  </li>
  <li>
   Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques.
  </li>
  <li>
   Experience developing endpoints, APIs, or lightweight web apps (e.g., Dash, Flask, Streamlit, React) to deliver Gen AI solutions.
  </li>
  <li>
   Ability to optimize Gen AI models for performance, cost-efficiency, and business relevance.
  </li>
  <li>
   Proficiency in Python (Hugging Face Transformers, LangChain, Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
  </li>
  <li>
   Experience with cloud platforms, especially Microsoft Azure AI Foundry or AWS, and MLOps tools are a plus.
  </li>
  <li>
   If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
  </li>
  <li>
   If you are prone to teamwork and interpersonal abilities.
  </li>
  <li>
   Proficiency in English is preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &laquo;You should live your career, development, life and future at Eczac&inodot;ba&scedil;&inodot;!&raquo;
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What is here for you?
  </strong>
 </p>
 <p>
  You can continuously improve your personal, professional, and technical competencies by participating in our education programs that support you and your career,
 </p>
 <p>
  Opportunities for global opportunities and rotation among more than 120 international markets among more than 40 organizations can always knock on your door,
 </p>
 <p>
  At Eczac&inodot;ba&scedil;&inodot;, leave entitlements are calculated based on the employee's total work experience and come with your employment,
 </p>
 <p>
  We always applaud successes with different reward methods,
 </p>
 <p>
  With work models differentiated according to the nature of the job, you can take advantage of location-independent or hybrid work opportunities and determine your own working hours with flexible working hours,
 </p>
 <p>
  Being a mother or father at Eczac&inodot;ba&scedil;&inodot; is a privilege. Monthly nursery aid is provided to working mothers at Eczac&inodot;ba&scedil;&inodot;, and working fathers are entitled to 21 days of paternity leave. We are determined to ensure equal opportunities in employment,
 </p>
 <p>
  We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or seniority status
  <strong>
   #WeDoNotDifferentiateBetweenJobsForWomenAndMen.
  </strong>
 </p>
 <p>
 </p>
</div>


Senior Data Scientist (Generative AI)

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