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machine learning operations engineer Jobs in Istanbul

machine learning operations engineer

machine learning engineer

VodafoneThree

<div></div><div><div><div><div><div>&#304;stanbul, Istanbul, T&uuml;rkiye</div></div></div></div><div></div><div><div><div><div><div><b><br>
</b></div></div></div></div></div><div><div><div><div><div><div><div><div><b>
Job description</b></div></div></div></div></div><div></div><div><div><div><div><div>
Requisition ID</div><div><b>
267660</b></div></div><div><div>
Date posted</div><div><b>
08/08/2025</b></div></div></div><div><div><div><div><div><div><b>
Join Us</b></div>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><div><b>
What you&rsquo;ll do</b></div>
</div><div><div>
MLOps Engineer at Vodafone Turkey<br>
We are seeking an experienced MLOps Engineer to design, build, and maintain scalable machine learning solutions leveraging modern technologies and methodologies. The ideal candidate will play a critical role in operationalizing ML models and supporting advanced initiatives, including Generative AI (GenAI) projects. You will ensure robust infrastructure, seamless pipelines, and high-performing applications in hybrid environments, including local analytic platforms (Cloudera &amp; PracticusAI) and cloud ecosystems.<br>
<br>
Key Accountabilities<br>
<ul><li>End-to-End ML Lifecycle Management: Design, develop, and deploy high-performing, scalable ML models and applications for petabyte-scale data in big data and hybrid cloud environments.</li><li>Generative AI Enablement: Contribute to the development and deployment of GenAI solutions, including LLMs, GANs, and other advanced AI methodologies.</li><li>Agentic AI System Development: Design, build, and deploy agentic AI systems that demonstrate autonomy, tool-use, reasoning, memory, and planning abilities.</li><li>MLOps Pipelines: Develop, maintain, and optimize automated CI/CD pipelines for model deployment, monitoring, and retraining to ensure model reliability and scalability.</li><li>Model Performance Optimization: Fine-tune and monitor models, leveraging MLOps principles to ensure business relevance and technical excellence.</li><li>Collaboration: Partner with data science and engineering teams to integrate ML models into operational workflows, including campaign management systems, mobile apps, and analytics platforms.</li><li>Monitoring and Maintenance: Establish and manage monitoring systems for deployed models, ensuring performance metrics and KPIs are met.</li><li>Data Engineering: Collect, preprocess, and validate large datasets; build and maintain data pipelines for feature engineering and model training.</li><li>Documentation: Create and maintain high-level design (HLD), low-level design (LLD), and other solution documentation for ML applications.</li><li>Research and Innovation: Stay updated on advancements in ML, GenAI, and MLOps tools and techniques to continuously improve solutions.</li></ul></div></div></div><div><div><div><b>
Who you are</b></div>
</div><div><div>
Qualifications<br>
<br>
<ul><li>Bachelor's or higher degree in Computer Science, Mathematics, Engineering, or a related field with strong analytical and computational skills.</li><li>At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.</li><li>Technical Proficiency:</li></ul>
o Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.<br>
o Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
<br>
o Experience integrating with retrieval-augmented generation (RAG) architectures and flash attention, VectorDB(Milvus), CUDA, and GraphDBs (e.g., Neo4j).<br>
o Experience in building multi-agent systems using LangFlow.<br>
o Proficiency in Python, and frameworks such as LangChain, PyTorch, FastAPI, Hugging Face.<br>
o Skilled in capacity planning and designing scalable, efficient infrastructure.
<br>
o Strong programming skills in Python; additional languages are a plus.<br>
o Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.<br>
o Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
<br>
o Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
<br>
o Deep understanding of model evaluation techniques and metrics.<br>
o Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.<br>
o Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.<br>
o Experience with containerization (Docker) and orchestration (Kubernetes).<br>
o Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.<br>
o Proficiency in Linux systems and bash scripting<br>
o Experience with deep learning, and NLP techniques are plus.<br>
o Experience with Big Data technologies such as Hadoop, Spark, Solr/Elastic Search, Nifi is a plus.<br>
<br>
<ul><li>Solid understanding of data pipelines, data wrangling, and feature engineering for ML models.</li><li>Strong problem-solving abilities, attention to detail, and a collaborative mindset.</li><li>Experience working in agile teams and delivering results in fast-paced environments.</li><li>Knowledge of privacy, cybersecurity and model interpretability for AI governance</li></ul></div></div></div><div><div><div><b>
Not a perfect fit?</b></div>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><div><b>
Who we are</b></div>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div></div></div><div><div><b>
Insights from previous hires</b></div><div><div><div><b>
Top skills</b></div><div><div><div><b>
CCNP</b></div></div><div><div><b>
CCNA</b></div></div><div><div><b>
Security</b></div></div></div></div><div><div><b>
Previously worked as</b></div><div><div>
1. Engineer</div><div>
2. Graduate Engineer Trainee</div><div>
3. Network Engineer</div><div>
4. Support Engineer</div><div>
5. Senior System Engineer</div></div></div></div></div></div></div></div></div></div>

Machine Learning Operations Engineer

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><div>
MLOps Engineer at Vodafone Turkey<br>
We are seeking an experienced MLOps Engineer to design, build, and maintain scalable machine learning solutions leveraging modern technologies and methodologies. The ideal candidate will play a critical role in operationalizing ML models and supporting advanced initiatives, including Generative AI (GenAI) projects. You will ensure robust infrastructure, seamless pipelines, and high-performing applications in hybrid environments, including local analytic platforms (Cloudera &amp; PracticusAI) and cloud ecosystems.<br>
<br>
Key Accountabilities<br>
<ul><li>End-to-End ML Lifecycle Management: Design, develop, and deploy high-performing, scalable ML models and applications for petabyte-scale data in big data and hybrid cloud environments.</li><li>Generative AI Enablement: Contribute to the development and deployment of GenAI solutions, including LLMs, GANs, and other advanced AI methodologies.</li><li>Agentic AI System Development: Design, build, and deploy agentic AI systems that demonstrate autonomy, tool-use, reasoning, memory, and planning abilities.</li><li>MLOps Pipelines: Develop, maintain, and optimize automated CI/CD pipelines for model deployment, monitoring, and retraining to ensure model reliability and scalability.</li><li>Model Performance Optimization: Fine-tune and monitor models, leveraging MLOps principles to ensure business relevance and technical excellence.</li><li>Collaboration: Partner with data science and engineering teams to integrate ML models into operational workflows, including campaign management systems, mobile apps, and analytics platforms.</li><li>Monitoring and Maintenance: Establish and manage monitoring systems for deployed models, ensuring performance metrics and KPIs are met.</li><li>Data Engineering: Collect, preprocess, and validate large datasets; build and maintain data pipelines for feature engineering and model training.</li><li>Documentation: Create and maintain high-level design (HLD), low-level design (LLD), and other solution documentation for ML applications.</li><li>Research and Innovation: Stay updated on advancements in ML, GenAI, and MLOps tools and techniques to continuously improve solutions.</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
</div><div><div>
Qualifications<br>
<br>
<ul><li>Bachelor's or higher degree in Computer Science, Mathematics, Engineering, or a related field with strong analytical and computational skills.</li><li>At least 5 years of hands-on experience designing, building, and deploying ML applications in large-scale data environments.</li><li>Technical Proficiency:</li></ul>
o Expertise in ML frameworks like TensorFlow, PyTorch, and HuggingFace, alongside GenAI technologies such as LLMs, GANs, and Transformer Architectures.<br>
o Experience with flash attention, VectorDB, CUDA, and GraphDBs (e.g., Neo4j).
<br>
o Experience integrating with retrieval-augmented generation (RAG) architectures and flash attention, VectorDB(Milvus), CUDA, and GraphDBs (e.g., Neo4j).<br>
o Experience in building multi-agent systems using LangFlow.<br>
o Proficiency in Python, and frameworks such as LangChain, PyTorch, FastAPI, Hugging Face.<br>
o Skilled in capacity planning and designing scalable, efficient infrastructure.
<br>
o Strong programming skills in Python; additional languages are a plus.<br>
o Proficiency with Big Data tools such as Hadoop, Spark, Kafka, and Elasticsearch.<br>
o Experience with relational and NoSQL systems like HBase, MongoDB, and PostgreSQL.
<br>
o Knowledge of open data lakehouse architectures, including object storage solutions like MinIO, S3, and Iceberg.
<br>
o Deep understanding of model evaluation techniques and metrics.<br>
o Hands-on experience with Kubeflow, Airflow, or equivalent for pipeline orchestration.<br>
o Proficiency in AIOps, LLMOps, and MLOps(MLFlow) for streamlined AI/ML lifecycle management.<br>
o Experience with containerization (Docker) and orchestration (Kubernetes).<br>
o Experience in working with cloud platforms (Azure and GCP) and hybrid infrastructure.<br>
o Proficiency in Linux systems and bash scripting<br>
o Experience with deep learning, and NLP techniques are plus.<br>
o Experience with Big Data technologies such as Hadoop, Spark, Solr/Elastic Search, Nifi is a plus.<br>
<br>
<ul><li>Solid understanding of data pipelines, data wrangling, and feature engineering for ML models.</li><li>Strong problem-solving abilities, attention to detail, and a collaborative mindset.</li><li>Experience working in agile teams and delivering results in fast-paced environments.</li><li>Knowledge of privacy, cybersecurity and model interpretability for AI governance</li></ul></div></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

ONESEC

<p><b>About OneSec</b></p><p>OneSec is a leading innovator in drone technology, specializing in AI powered autonomous delivery drones. We are dedicated to pushing the boundaries of what's possible in aerial robotics and control systems. Situated near &#350;i&#351;hane Metro station in the city center of Istanbul, committed to advancing the capabilities of aerial vehicles.</p><p>Check out our website OneSec.com for more info</p><p><b>Job Description</b></p><p>OneSec is building one of the largest machine learning projects in the drone industry. With our own photorealistic flight simulator, and a fleet of prototype drones, we are building one of the largest depth perception datasets in the world, with 150 million training samples.</p><p>The job has 2 main components:</p><p>Primary: Dataset generation: using open source AI models to generate pseudo labels for a large image dataset. Generating synthetic stereo images from images with depth map. Filtering large public datasets like LAION-5B.</p><p>Secondary: Train models, modify model architecture etc.</p><p><b>Requirements</b></p><ul><li>Strong expertise in deep learning</li><li>Experience with computer vision and CNNs (resnets etc)</li><li>Experience with PyTorch &amp; CUDA</li><li>Good generalist tech skills: cloud infrastructure, image processing etc.</li></ul><p><b>Why Join OneSec?</b></p><ul><li>Work in an exceptionally talented team</li><li>Attractive salary &amp; stock option package</li><li>Work on cutting-edge autonomous drone technology</li><li>State-of-the-art development tools &amp; equipment</li></ul><p>Job Type: Full-time</p>

Machine Learning Engineer for Large Scale AI Project (Computer Vision)

<div></div><div><div><div><div><div>&#304;stanbul, Istanbul, T&uuml;rkiye</div></div></div></div><div></div><div><div><div><div><div><b><br>
</b></div></div></div></div></div><div><div><div><div><div><div><div><div><b>
Job description</b></div></div></div></div></div><div></div><div><div><div><div><div>
Requisition ID</div><div><b>
267665</b></div></div><div><div>
Date posted</div><div><b>
08/08/2025</b></div></div></div><div><div><div><div><div><div><b>
Join Us</b></div>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><div><b>
What you&rsquo;ll do</b></div>
</div><div><p>
We are seeking a Senior AI Engineer with strong expertise in Generative AI to help design and implement advanced AI models that solve real business problems. You will work closely with technical leads, product owners, and business units to develop robust GenAI solutions, contributing across the full lifecycle from research to deployment.<br>
<br>
<b>Key Responsibilities</b><br>
Develop, fine-tune, and evaluate Generative AI models using large-scale datasets<br>
Apply prompt engineering, transfer learning, and model optimization techniques<br>
Build secure, scalable pipelines for model training, inference, and monitoring<br>
Collaborate with cross-functional teams to implement GenAI use cases<br>
Stay updated on the latest GenAI research and apply relevant innovations<br>
Ensure documentation and reproducibility of developed models and pipelines</p></div></div><div><div><div><b>
Who you are</b></div>
</div><div><p>
MSc in Computer Science, Data Science, or a related field<br>
4+ years of experience in AI/ML; 1+ years in Generative AI projects<br>
Hands-on experience with LLMs (e.g., GPT, LLaMA, Mistral, etc.)<br>
Strong coding skills in Python and experience with deep learning frameworks<br>
Familiarity with cloud platforms (e.g., Azure, AWS, GCP) and containerized environments<br>
Knowledge of GenAI toolkits such as Hugging Face Transformers, LangChain, and vector stores<br>
Ability to work independently and communicate technical topics effectively<br>
Experience with CI/CD pipelines and model versioning tools is a plus</p></div></div><div><div><div><b>
Not a perfect fit?</b></div>
</div><div><p>
Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><div><b>
What's in it for you</b></div>
</div><div><div>
We like to keep them flexible:<br>
<br>
<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
<br>
https://www.vodafone.com.tr/insan-kaynaklari<br>
<br>
Instagram: https://www.instagram.com/vodafonekariyer/<br>
<br>
Youtube: https://www.youtube.com/user/VFTurkiye<br>
<br>
Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><div><b>
Who we are</b></div>
</div><div><p>
We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div></div></div><div><div><b>
Insights from previous hires</b></div><div><div><div><b>
Top skills</b></div><div><div><div><b>
CSS</b></div></div><div><div><b>
HTML5</b></div></div><div><div><b>
JavaScript</b></div></div><div><div><b>
Coding</b></div></div></div></div><div><div><b>
Previously worked as</b></div><div><div>
1. Software Developer</div><div>
2. Software Engineer</div><div>
3. Machine Learning Engineer</div><div>
4. Senior Software Engineer</div><div>
5. Software Development Engineer</div></div></div></div></div></div></div></div></div></div>

AI Engineer

Getir

<div>
 <p>
  Getir is the pioneer of ultra-fast delivery. By bringing together great technology with a unique operational model, we were the first to introduce the concept of groceries being delivered to your door in minutes.
 </p>
 <p>
  Great technology is developed by great people, and thats why were looking for talented technologists to join our team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Be Doing?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Lead a diverse team of ML engineers, data scientists, and backend engineers across projects in recommendation
  </li>
  <li>
   Set technical direction, review system designs, and mentor the team on best practices in scalable ML infrastructure.
  </li>
  <li>
   Demonstrating a clear understanding of the company's strategic goals and how technical solutions align with business outcomes
  </li>
  <li>
   Work closely with product, engineering, and analytics stakeholders to define and prioritize recommendation goals.
  </li>
  <li>
   Align model development with strategic business KPIs, presenting insights and recommendations to leadership.
  </li>
  <li>
   Collaborates across teams to align architecture with business goals and scalability needs.
  </li>
  <li>
   Architect and deploy real-time, personalized recommendation pipelines using hybrid modeling approaches (e.g., Two-Tower, DCNv2, GNNs).
  </li>
  <li>
   Build and serve user behavior and product embeddings for use in downstream tasks across app touchpoints.
  </li>
  <li>
   Continuously experiment and optimize performance through A/B tests and simulation frameworks.
  </li>
  <li>
   Develop ranking strategies using learning-to-rank frameworks, real-time features, and feedback loops.
  </li>
  <li>
   Improve ranking relevance using LightGBM/XGBoost-based models integrated with real-time feature stores.
  </li>
  <li>
   Design and operationalize end-to-end machine learning pipelines, from training to online inference, using modern MLOps and orchestration tools.
  </li>
  <li>
   Ensure reliability and scalability through containerized services, model monitoring, and continuous integration.
  </li>
  <li>
   Implements best practices for reproducibility, versioning, and testing.
  </li>
  <li>
   Optimizes models for latency, throughput, and reliability at scale.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What You&rsquo;ll Bring?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelors degree in Computer Science, Computer Engineering, or a related field. A Masters degree is a plus, preferably completed or close to completion.
  </li>
  <li>
   3 years of hands-on experience in machine learning and model deployment.
  </li>
  <li>
   Strong proficiency with Python and SQL.
  </li>
  <li>
   Experience with machine learning libraries like scikit-learn, xgboost/lightgbm/catboost, PyTorch, and/or TensorFlow.
  </li>
  <li>
   Developing and maintaining services using frameworks such as FastAPI.
  </li>
  <li>
   Previous experience working with GPS and IoT data, experience in deep learning architectures such as LSTMs and GNNs, hands-on experience in large language models (LLMs), including fine-tuning and RAG implementation, are strong plus.
  </li>
  <li>
   Interest in applying research methodologies to practical, business-focused solutions.
  </li>
  <li>
   Excellent communication skills with the ability to collaborate effectively within cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Hybrid working model
  </li>
  <li>
   Take charge of your own career growth with us through professional development opportunities! We really mean it when we say that upward and sideways mobility are some of our favorite terms.
  </li>
  <li>
   Health insurance (family included)
  </li>
  <li>
   Meal card
  </li>
  <li>
   Competitive salary
  </li>
 </ul>
</div>


Data Scientist

TRB 360

<div>
 <p>
  We are seeking a
  <strong>
   AI Specialist
  </strong>
  for our Istanbul-based company operating in the oil and gas sector.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About The Company
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are an AI-driven startup revolutionizing oil and gas trading and hedging through cutting-edge machine learning, data analytics, and financial modeling. We seek an experienced AI Specialist to design, implement, and optimize AI-powered trading models and risk management systems.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and implement AI algorithms/models for trading, forecasting, and risk management in oil and gas markets.
  </li>
  <li>
   Create predictive models for price movements, supply-demand dynamics, and geopolitical risk assessment.
  </li>
  <li>
   Design and maintain hedging strategies using derivatives and financial instruments.
  </li>
  <li>
   Develop and maintain data pipelines and ensure data quality
  </li>
  <li>
   Analyze large-scale market data from multiple sources (e.g., market feeds, economic reports).
  </li>
  <li>
   Collaborate with traders, data engineers, and financial analysts to integrate AI models into trading systems.
  </li>
  <li>
   Conduct backtesting, scenario analysis, and performance evaluation of models.
  </li>
  <li>
   Stay updated on emerging AI technologies, trading models, and market regulations.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   BSc, Master&rsquo;s or Ph.D. in Computer Science, Data Science, Finance, or a related field.
  </li>
  <li>
   3+ years of experience in software development.
  </li>
  <li>
   Proven experience with AI applications in financial trading, commodities, or energy markets.
  </li>
  <li>
   Expertise in machine learning frameworks (TensorFlow, PyTorch) and statistical modeling.
  </li>
  <li>
   Strong programming skills in Python, R, or C++.
  </li>
  <li>
   Familiarity with financial market structures, derivatives, and quantitative finance.
  </li>
  <li>
   Experience with time-series analysis, reinforcement learning, and optimization techniques.
  </li>
  <li>
   Ability to translate complex data insights into actionable trading strategies.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Skills:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Experience in commodity trading, especially oil and gas.
  </li>
  <li>
   Knowledge of energy market regulations and compliance standards.
  </li>
  <li>
   Experience with cloud-based AI platforms (AWS, Azure, Google Cloud).
  </li>
  <li>
   Experience in deploying AI-powered chatbots, virtual assistants, or personalized AI solutions.
  </li>
  <li>
   Background in digital transformation, AI-driven content creation, or AI-enhanced customer experience.
  </li>
  <li>
   Expreince with LSTM and XGBoost Models.
  </li>
 </ul>
 <p>
 </p>
</div>


AI Specialist

Codeway

<div>
 <strong>
  About Codeway
  <br/>
 </strong>
 Codeway is a technology company building AI-powered mobile apps used by over 300 million people worldwide.
 <br/>
 <br/>
 Since 2020, we&rsquo;ve launched 60+ products across photo editing, productivity, entertainment, and more&mdash;many of which lead their categories. Our standout apps include Retake, Wonder, and Chat &amp; Ask AI.
 <br/>
 <br/>
 With a deep focus on AI research and proprietary technologies, we build experiences that define new standards in mobile. In 2024, we became the most downloaded app publisher on iOS globally. None of this happens without the team. Our 270+ people bring curiosity, clarity, and ownership to everything we build. Recognized as Turkey&rsquo;s #1 LinkedIn Top Startup and a certified Great Place to Work across Europe and the tech industry, Codeway is built to attract, grow, and empower top talent.
 <br/>
 <br/>
 That&rsquo;s our way. This is Codeway.
 <br/>
 <br/>
 <strong>
  POSITION
  <br/>
  <br/>
 </strong>
 This role will focus on leveraging the app data to optimize the efficiency of marketing campaigns and app features. The ideal candidate will have a robust understanding of statistical analysis and classical machine learning methods with a passion for applying them to real-world time-series forecasting problems.
 <br/>
 <br/>
 <strong>
  WHAT YOU&rsquo;LL BE DOING?
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Develop and own machine learning models to predict LTV and churn for our subscription-based apps.
  </li>
  <li>
   Design and implement custom loss functions and evaluation metrics tailored to business objectives (e.g., ranking, calibration, cohort forecasting).
  </li>
  <li>
   Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of already existing ML models and pipelines.
  </li>
  <li>
   Collaborate closely with data, product, and marketing teams to uncover insights and ensure models drive action.
  </li>
  <li>
   Stay up to date with recent ML research, tools, and modeling approaches &mdash; and translate ideas from papers into practice.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHAT YOU&rsquo;LL BRING?
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   2+ years of experience as a Data Scientist or an ML Engineer.
  </li>
  <li>
   BS in engineering/physics/math or related field. MS/PhD is a big plus.
  </li>
  <li>
   Solid understanding of time series forecasting, user behavior modeling, or subscription lifecycle metrics.
  </li>
  <li>
   Strong skills in Python, machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow), and model deployment best practices.
  </li>
  <li>
   Familiarity with LTV prediction challenges in consumer apps is a big plus.
  </li>
  <li>
   Strong problem-solving and communication skills &ndash; able to work independently and cross-functionally in a fast-paced environment.
  </li>
  <li>
   A strong understanding of statistics and the ability to identify and assess potential biases in data are essential.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  NICE TO HAVES
  <br/>
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Previous experience in Customer Lifetime Value and Churn Prediction within subscription based businesses.
  </li>
  <li>
   Contributions to large-scale codebases or open-source projects.
  </li>
  <li>
   Previous experience with cloud data platforms such as BigQuery.
  </li>
  <li>
   Proficiency in SQL and experience working with large datasets.
  </li>
  <li>
   Experience in putting models in production and experiment tracking.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  WHAT&rsquo;S IN IT FOR YOU?
  <br/>
  <br/>
  <br/>
 </strong>
 <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.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  THE RECRUITING PROCESS
  <br/>
  <br/>
 </strong>
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 <br/>
 <br/>
 <br/>
 <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.
   <br/>
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <em>
  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
 </em>
 <strong>
  <em>
   "Candidate Information Notice"
  </em>
 </strong>
 <em>
  page at
 </em>
 <em>
  https://www.codeway.co
 </em>
 <em>
  . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 </em>
 <strong>
  <em>
   Privacy Notice for Employee Candidate
  </em>
 </strong>
 "
 <em>
  summarizes the data processing procedures during the application process.
  <br/>
  <br/>
 </em>
 <em>
  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
 </em>
 <em>
  https://www.codeway.co
 </em>
 <em>
  adresindeki
 </em>
 <em>
  <strong>
   "Aday Ayd&inodot;nlatma Metnimizin"
  </strong>
 </em>
 <em>
  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.
 </em>
 <strong>
  <em>
   "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
  </em>
 </strong>
 <em>
  ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 </em>
</div>


Explore 310+ Machine learning engineer in Istanbul this September. Find roles across top companies and apply now to boost your career.

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