software engineer

project engineer

engineering manager

planning engineer

process engineer

feature engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</div><div></div><div><b><br>
About the Role</b></div><div>
As a Feature Engineer, you will act as the crucial link transforming raw data into intelligent inputs for machine learning models. You'll build the robust, scalable systems that unlock the potential of our Data Scientists, turning complex, messy data streams into the high-value, predictive feature sets that drive model success. You will play a key role in achieving optimal AI performance by providing the single source of feature truth&mdash;consistent, reliable, and production-ready features&mdash;that power our most critical models and business decisions.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Design and implement robust and scalable backend services using Go.
</li><li>Collaborate closely with product managers to ensure seamless integration and meet business requirements.
</li><li>Write clean, maintainable, and efficient code.
</li><li>Develop well-designed APIs to interface with frontend services, databases, and other third-party services.
</li><li>Monitor system performance and identify bottlenecks, bugs, and ways to improve backend efficiency and speed.
</li><li>Implement security and data protection best practices.
</li><li>Conduct code reviews, ensuring high-quality code.
</li><li>Stay updated with current best practices in Golang development and introduce them to our processes.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
3+ years of experience in backend development, with a focus on Go.
</li><li>Strong knowledge of Go programming language, paradigms, constructs, and idioms.
</li><li>Familiarity with the Go's code packaging and tooling.
</li><li>Experience with Go frameworks like Gorilla Mux, Go-Kit, or Gin.
</li><li>Strong understanding of system architecture, object-oriented design, and design patterns.
</li><li>Knowledge of common Goroutine and channel patterns.
</li><li>Proficient understanding of code versioning tools, such as Git.
</li><li>Experience with databases (SQL or NoSQL)</li><li>
Knowledge on high volume of data.</li><div></div><li><div><b><br>
Nice-to-haves</b></div></li><li>
Knowledge of Docker and Kubernetes.
</li><li>Familiarity with CI/CD pipelines.
</li><li>Knowledge of Feature Stores</li><li>
Experience on Flink DataStream framework</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Feature Engineer

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Are you passionate about improving the way Machine Learning systems are developed, deployed, and scaled in real-world production environments? We are collaborating with a leading European Online Fashion &amp; Beauty Retailer to find a highly capable and self-driven <b>Machine Learning Engineer (MLE/MLOps Focus)</b> to join a fast-moving and impactful team working on the Home page.</p><p></p>
This role is centered around building robust ML workflows, streamlining feature creation, and standardizing ML components to ensure scalability, consistency, and speed across the organization. You&rsquo;ll work at the intersection of engineering and data science, playing a key part in shaping how machine learning is delivered at scale.<p></p>
</div><div><ul><li><p>Design and build ML components, including systems for data access, feature management, model training, deployment, and inference at scale.</p></li><li><p>
Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way.</p></li><li><p>
Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams.</p></li><li><p>
Implement core abstractions and APIs &mdash; from feature creation to model rollout.</p></li><li><p>
Build and maintain observability and reliability tooling for ML systems &mdash; including telemetry pipelines, model health checks, and automated retraining triggers.</p></li><li><p>
Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery.</p></li><li><p>
Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default.</p></li></ul>
</div><div><ul><li><p>5+ years of experience in Machine Learning Engineering or MLOps roles</p></li><li><p>
Solid Python development skills</p></li><li><p>
Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker</p></li><li><p>
Familiarity with ML observability tools such as Grafana, custom metric logging, model drift detection, and alerting mechanisms</p></li><li><p>
Proficiency in building CI/CD pipelines for ML systems with automated testing and validation</p></li><li><p>
Experience with Infrastructure-as-Code tools (CloudFormation, YAML)</p></li><li><p>
Understanding of secure and compliant deployment of ML pipelines</p></li><li><p>
Excellent debugging and problem-solving skills</p></li><li><p>
Experience with OpenAI API usage in production, containerization, and Kubernetes orchestration is highly valued</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Python
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior MLOps Engineer

Sanction Scanner

<div><h3 class="jobSectionHeader"><b>Join Sanction Scanner as a Solutions Engineer</b></h3><p>
At <b>Sanction Scanner</b> &ndash; 2x Deloitte EMEA Winner &amp; 3x Deloitte Fast 50 Winner &ndash; we help financial institutions in 70+ countries fight financial crime with our cutting-edge compliance solutions. We&rsquo;re looking for a <b>Solutions Engineer</b> who will play a hybrid role between our customers and product team &mdash; ensuring smooth onboarding, resolving technical challenges, and championing customer success.</p><p></p><h3 class="jobSectionHeader"><b>
 Why You'll Love Working with Us</b></h3><ul><li><ul>
<li><b>Impactful Role</b>: Work directly with customers to ensure their success while shaping our product with real-world feedback.
</li><li><b>Technical + Customer-Facing</b>: Combine your problem-solving skills with direct client interactions.
</li><li><b>Growth-Oriented Culture</b>: Join a fast-scaling SaaS company where continuous learning and development are prioritized.
</li><li><b>Global Exposure</b>: Support leading banks, fintechs, and financial institutions worldwide.</li>
 </ul></li></ul><p></p><h3 class="jobSectionHeader"><b>What You&rsquo;ll Be Doing</b></h3><ul><li><ul>
<li><b>Onboarding &amp; Implementation</b>: Guide customers through technical setup, API integrations, and initial configuration.
</li><li><b>Customer Support</b>: Support the Customer Success team in the post-sales technical process: configuration, deployment, training and support</li>
<li><b>Collaboration with Product</b>: Gather feedback, document feature requests, and work closely with product &amp; engineering teams to improve our solutions.
</li><li><b>Problem Solving</b>: Diagnose issues, replicate bugs, and provide clear documentation to internal teams.
</li><li><b>Customer Advocacy</b>: Act as the voice of the customer within Sanction Scanner, ensuring their needs influence product decisions.
</li><li><b>Knowledge Sharing</b>: Build documentation, FAQs, and training resources to support customers and scale success.
</li><li><b>Cross-Functional Alignment</b>: Collaborate with Customer Success Managers, Sales Engineers, and Product Managers to deliver the best possible customer outcomes.</li>
</ul></li></ul><p><b>Requirements</b></p><h3 class="jobSectionHeader"><b>
 What We&rsquo;re Looking For</b></h3><ul>
<li><b>Experience</b>: Minimum <b>1+ years in a customer-facing technical role</b> (Customer Success Engineer, Technical Support Engineer, Solutions Engineer, or similar).
</li><li><b>Technical Skills</b>: Understanding of APIs, SaaS platforms, and troubleshooting methods.
</li><li><b>Communication</b>: Strong spoken and written English; able to explain technical concepts to non-technical audiences.
</li><li><b>Customer Focus</b>: Passion for helping customers succeed, with patience and problem-solving mindset.
</li><li><b>Collaboration</b>: Ability to work cross-functionally with Product, Engineering, and Success teams.
</li><li><b>Tools</b>: Experience with CRM (HubSpot preferred), ticketing systems, and knowledge base platforms.</li>
</ul><p><b>Benefits</b></p><p></p><ul>
<li>Competitive Compensation Package &ndash; <b>NET salary with performance bonus</b>.
</li><li>Meal compensation for a nutritious lunch.
</li><li>Inclusive health benefits.
</li><li>Recognition &amp; Reward Culture &ndash; your contributions will be appreciated.
</li><li>Training &amp; development budget.
</li><li>Digital membership support.
</li><li>Flexible dress code.
</li><li>International team culture with opportunities to grow.</li>
</ul><p></p><p>We provide equal opportunity to all, we do not discriminate based on gender, sexual orientation, disabilities, religion, or social origin.</p></div>

Solutions Engineer

QNB Sigorta

<div>
 <p>
  Yapay zek&acirc; uygulamalar&inodot;yla sigortac&inodot;l&inodot;&gbreve;&inodot;n gelece&gbreve;ini &scedil;ekillendirmeye haz&inodot;r, yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler geli&scedil;tirmekten heyecan duyan bir AI Engineer ar&inodot;yoruz.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   &Idot;&scedil; Tan&inodot;m&inodot;
  </strong>
 </p>
 <ul>
  <li>
   Sigortac&inodot;l&inodot;k s&uuml;re&ccedil;lerini d&ouml;n&uuml;&scedil;t&uuml;recek
   <strong>
    LLM ve Generative AI uygulamalar&inodot;
   </strong>
   tasarlamak ve geli&scedil;tirmek
  </li>
  <li>
   <strong>
    Agentic AI sistemleri
   </strong>
   ile i&scedil; s&uuml;re&ccedil;lerini d&ouml;n&uuml;&scedil;t&uuml;rmek, ilgili otomasyonlar&inodot; olu&scedil;turmak
  </li>
  <li>
   B&uuml;y&uuml;k dil modellerini (RAG, prompt engineering, fine-tuning vb.) i&scedil; senaryolar&inodot;na uyarlamak
  </li>
  <li>
   Geli&scedil;tirilen uygulama ve modellerin performans&inodot;n&inodot; &ouml;l&ccedil;mek, optimize etmek ve &ouml;l&ccedil;eklenebilir hale getirmek
  </li>
  <li>
   &Idot;&scedil; birimleriyle yak&inodot;n &ccedil;al&inodot;&scedil;arak, yapay zek&acirc; &ccedil;&ouml;z&uuml;mlerini &uuml;r&uuml;n ve s&uuml;re&ccedil;lere entegre etmek
  </li>
  <li>
   &Idot;&scedil; hedeflerimize uygun a&ccedil;&inodot;k kaynakl&inodot; ve ticari 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 i&scedil; s&uuml;re&ccedil;lerinde 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; yapmak
  </li>
  <li>
   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 &uuml;retim ortam&inodot;na da&gbreve;&inodot;t&inodot;m&inodot;n&inodot; sa&gbreve;lamak
  </li>
  <li>
   LLM ve AI ekosistemi alan&inodot;ndaki en yeni ara&scedil;t&inodot;rmalar&inodot;, &ccedil;al&inodot;&scedil;malar&inodot; ve end&uuml;stri trendlerini takip ederek projelere entegre etmek
  </li>
  <li>
   Veri g&uuml;venli&gbreve;i, KVKK ve etik AI standartlar&inodot;na uygun &ccedil;&ouml;z&uuml;mler geli&scedil;tirmek
  </li>
  <li>
   &Uuml;retim ortam&inodot;ndaki modellerin monitoring &amp; logging s&uuml;re&ccedil;lerini takip etmek
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Aranan Nitelikler
  </strong>
 </p>
 <ul>
  <li>
   Bilgisayar M&uuml;hendisli&gbreve;i, Yapay Zeka, Veri Bilimi veya ilgili alanlarda lisans/y&uuml;ksek lisans derecesi mezunu,
  </li>
  <li>
   <strong>
    En az 3 y&inodot;l
   </strong>
   yapay zek&acirc; (LLM, GenAI vb.) konusunda yaz&inodot;l&inodot;m geli&scedil;tirme deneyimi olan,
  </li>
  <li>
   <strong>
    Python&rsquo;a h&acirc;kim olmak
   </strong>
   , &ouml;zellikle
   <strong>
    LLM frameworkleri (Transformers, Hugging Face, LangChain, LlamaIndex, vLLM, LangGraph vb.)
   </strong>
   konusunda deneyimli,
  </li>
  <li>
   <strong>
    Generative AI mimarileri
   </strong>
   , &ouml;zellikle
   <strong>
    RAG (Retrieval-Augmented Generation),
   </strong>
   model ince ayar&inodot; (fine-tuning) ve prompt engineering konular&inodot;nda uygulama tecr&uuml;besi bulunan,
  </li>
  <li>
   <strong>
    Vekt&ouml;r veritabanlar&inodot;ndan (Chroma, FAISS, Qdrant, Milvus, Weaviate vb.)
   </strong>
   biri ile &ccedil;al&inodot;&scedil;m&inodot;&scedil;,
  </li>
  <li>
   Yapay zek&acirc; altyap&inodot;lar&inodot; hakk&inodot;nda (Cloud AI platformlar&inodot; veya On-Prem donan&inodot;m &ccedil;&ouml;z&uuml;mleri) bilgi sahibi olan,
  </li>
  <li>
   API geli&scedil;tirme ve entegrasyon konular&inodot;nda deneyimli,
  </li>
  <li>
   Veri yap&inodot;lar&inodot;, algoritmalar ve yaz&inodot;l&inodot;m tasar&inodot;m ilkeleri/desenleri konusunda deneyimli,
  </li>
  <li>
   Veri haz&inodot;rlama, veri temizleme ve feature engineering s&uuml;re&ccedil;lerinde bilgi sahibi,
  </li>
  <li>
   AI Ops / MLOps ara&ccedil;lar&inodot; hakk&inodot;nda bilgi sahibi olan (MLflow, CI/CD, model versiyonlama)
  </li>
  <li>
   Tak&inodot;m &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;n, ara&scedil;t&inodot;rmac&inodot; ve s&uuml;rekli &ouml;&gbreve;renmeye, geli&scedil;ime odakl&inodot;,
  </li>
  <li>
   Teknoloji ve trend takibi i&ccedil;in iyi d&uuml;zeyde &Idot;ngilizce bilen,
  </li>
 </ul>
 <p>
 </p>
</div>


AI Engineer (LLM & GenAI)

EXENTECH

<div>
 <p>
  <strong>
   Job Summary:
  </strong>
 </p>
 <p>
  We seek an AI expert to enhance our technological capabilities with a focus on developing and optimizing computer vision and ML algorithms for applications in automatic target recognition, detection, classification, sensor fusion and predictive analysis. The ideal candidate should have experience in machine learning, AI, and preferably sensor fusion with practical knowledge in image processing, feature extraction, and real-time edge computing and AI model deployments.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Accountabilities:
  </strong>
 </p>
 <p>
  <strong>
   Computer Vision &amp; Image Processing:
  </strong>
 </p>
 <p>
  &middot; Experience in developing computer vision algorithms for automatic target recognition (ATR), detection, classification, and segmentation tasks
 </p>
 <p>
  &middot; Familiarity with tracking algorithms such as correlation and deep learning trackers
 </p>
 <p>
  &middot; Knowledge of SLAM and Visual Odometry algorithms preferred
 </p>
 <p>
  &middot; Experience with feature matching, optical flow, homography, and warping techniques
 </p>
 <p>
  &middot; Background in image processing algorithms for restoration and denoising
 </p>
 <p>
  &middot; Understanding of feature extraction methods and pattern recognition techniques
 </p>
 <p>
  &middot; Knowledge of speed and depth estimation techniques preferred
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Edge Computing &amp; Optimization:
  </strong>
 </p>
 <p>
  &middot; Experience developing AI models for real-time applications, preferably with edge computing platforms like NVIDIA chips and FPGA
 </p>
 <p>
  &middot; Familiarity with optimization techniques, parallel computing, GPU acceleration, and distributed computing
 </p>
 <p>
  &middot; Experience with inference engines for model optimization preferred
 </p>
 <p>
  &middot; Knowledge of ONNX for model interoperability across different frameworks
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Sensor Fusion &amp; Advanced Technologies:
  </strong>
 </p>
 <p>
  &middot; Understanding of sensor fusion techniques preferred, including multimodal systems, lidar, radar and camera fusion
 </p>
 <p>
  &middot; Experience with synthetic data generation, 3D modeling, simulation environments preferred
 </p>
 <p>
  &middot; Familiarity with generative AI models (GANs, VAEs, etc.) is a plus
 </p>
 <p>
  &middot; Knowledge of data augmentation techniques and data security practices
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Machine Learning &amp; Deep Learning:
  </strong>
 </p>
 <p>
  &middot; Strong background in CNNs, RNNs, LSTMs, and familiarity with Explainable AI
 </p>
 <p>
  &middot; Experience with Vision transformers and attention mechanisms preferred
 </p>
 <p>
  &middot; Knowledge of NVIDIA DeepStream for video analytics is a plus
 </p>
 <p>
  &middot; Understanding of 3D reconstruction techniques (stereo vision, SfM, photogrammetry) preferred
 </p>
 <p>
  &middot; Familiarity with VISNIR, MWIR, and SWIR imaging technologies is advantageous
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills:
  </strong>
 </p>
 <p>
  &middot; Proficiency in Linux environments for development and deployment
 </p>
 <p>
  &middot; Strong programming skills in Python, C/C++ knowledge preferred
 </p>
 <p>
  &middot; Experience with frameworks like TensorFlow, Keras, PyTorch and others
 </p>
 <p>
  &middot; Familiarity with Docker containers for application deployment
 </p>
 <p>
  &middot; Understanding of benchmarking techniques for algorithm evaluation
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience &amp; Education Qualifications:
  </strong>
 </p>
 <p>
  <strong>
   Required:
  </strong>
 </p>
 <p>
  &middot; Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, or related field
 </p>
 <p>
  &middot; Demonstrated experience in ML, CV, and AI solutions development
 </p>
 <p>
  &middot; Proficiency in Python and familiarity with at least one deep learning framework (TensorFlow, Keras, or PyTorch)
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred:
  </strong>
 </p>
 <p>
  &middot; Experience with edge computing platforms and optimization techniques
 </p>
 <p>
  &middot; Background in sensor fusion techniques, synthetic data generation, and data handling
 </p>
 <p>
  &middot; Military Industrial experience with real-world application deployments
 </p>
 <p>
  &middot; C/C++ and Python programming experience
 </p>
 <p>
  &middot; Experience with specialized imaging technologies and 3D reconstruction methods
 </p>
</div>


Computer Vision Engineer (Software/Algorithm)

Neapco

<div>
 <p>
  <strong>
   About Us
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  For over 100 years, Neapco has been a leading global provider of innovative driveline solutions for a wide variety of applications. Constantly evolving with changing markets and driveline technologies, Neapco provides leading-edge propshafts/driveshafts, sideshafts/halfshafts, differentials, aluminum die castings and driveline components to Original Equipment Manufacturers (OEMs), driveline specialists and major heavy-duty parts distributors.
 </p>
 <p>
  Neapco&rsquo;s capabilities feature a deeply experienced in-house engineering staff, automated lean manufacturing processes, and ongoing quality improvement. A trusted source of engineered solutions for all classes of vehicles and stationary driveline applications, Neapco is known industrywide for flexibility, innovation and on-time delivery.
 </p>
 <p>
  Neapco driveline products are used in commercial vehicles including over-the-road heavy trucks, busses, &filig;re engines and light duty vans, as well as recreational vehicles (RVs) and large motor homes. Neapco provides a full line of fixed-length assemblies and many styles of yokes to interface with other driveline components. Neapco&rsquo;s flexible engineering and production capabilities can deliver solutions ranging from short-run custom and standard configurations to high-volume OEM assemblies. Widely specified in all commercial vehicle applications, Neapco precision products provide competitively priced OEM quality and performance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As
  <strong>
   Neapco Turkey
  </strong>
  we are looking for a
  <strong>
   Heat Treatment &amp; Metallurgy Engineer
  </strong>
  to be a member of our Quality Team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop &amp; implement heat treatment methods -specifically
   <strong>
    induction hardening
   </strong>
  </li>
  <li>
   Design heat treatment processes to optimize the mechanical properties of products.
  </li>
  <li>
   Plan and follow the maintenance of heat treatment machines
  </li>
  <li>
   Prepare equipment and materials to be used in heat treatment
  </li>
  <li>
   Provide technical support for material and heat treatment-related issues in production processes.
  </li>
  <li>
   Support new product launch processes
  </li>
  <li>
   Carry out testing and inspection processes to ensure compliance with quality standards.
  </li>
  <li>
   Technical support in the purchasing process
  </li>
  <li>
   Organising the installation, commissioning, test runs and acceptance of machines
  </li>
  <li>
   Assessing complaints, internal and external audit reports, as well as deriving measures
  </li>
  <li>
   Planning, supporting and carrying out production tests
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Metallurgy, Materials Engineering, or a related field
  </li>
  <li>
   <strong>
    Experience in the automotive sector &amp; Induction Hardening is a must
   </strong>
  </li>
  <li>
   Application of knowledge / certificate of CQI-9, VDA6.3, ISO 14001, IATF 16949
  </li>
  <li>
   In-depth knowledge of heat treatments and materials science &amp; min. 3 years of experience is a must
  </li>
  <li>
   Certified / In-depth knowledge in FMEA (Failure Mode and Effects Analysis), Control Plan, SPC (Statistical Process Control), MSA (Measurement Systems Analysis)
  </li>
  <li>
   Strong analytical and problem-solving skills
  </li>
  <li>
   <strong>
    Proficiency in English is a must
   </strong>
  </li>
  <li>
   Able to reside in Eski&scedil;ehir
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Please send us your application
  <u>
   in English
  </u>
  if you believe that you are the right candidate!
 </p>
</div>


Heat Treatment & Metallurgy 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>
<p>
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.</p></div>

Cloud AI Engineer

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