operations manager

data engineer

ai engineer

big data & ai engineer

analytics engineer

machine learning operations 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>

<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

LC Waikiki

<div>
 <p>
  <strong>
   About LC Waikiki
  </strong>
 </p>
 <p>
  Today LC Waikiki trades with nearly 1300 stores in 60 countries, with the company&rsquo;s philosophy that &ldquo;Everyone Deserves to Dress Well&rdquo; enabling people to enjoy accessible fashion through quality products at affordable prices.
 </p>
 <p>
  LC Waikiki&rsquo;s Digital Transformation and IT Department has more than 850 employees specialized in different fields of many teams. We foster collaboration through Agile/Scrum methodologies, best practices and guiding principles.
 </p>
 <p>
  When you join the LC Waikiki&rsquo;s IT team, you'll be working hand-in-hand with experts focused on digital transformation, operational processes and retail software processes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Overview
  </strong>
 </p>
 <p>
  We are seeking a highly skilled and motivated
  <strong>
   &ldquo;IT Field Systems Engineer&rdquo;
  </strong>
  to join our dynamic team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Part Will You Play?
  </strong>
 </p>
 <p>
  Within the scope of our Server &amp; Cloud Infrastructure you will be responsible for;
 </p>
 <ul>
  <li>
   Design, implement and operate Linux &amp; Windows Server systems and services
  </li>
  <li>
   Manage Centralization management system tasks to administer this core technology
  </li>
  <li>
   Manage virtualization tasks with VMware to administer machine
  </li>
  <li>
   Manage and administer Infrastructure Services like DNS, Web Services, DHCP
  </li>
 </ul>
 <p>
  Apply and be part of our exciting journey!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s Degree (Preferably Engineering Departments),
  </li>
  <li>
   Min. 4 years experience in related field
  </li>
  <li>
   Experienced in
   <strong>
    Linux OS
   </strong>
   and services
  </li>
  <li>
   Preferably experienced in virtualization platforms (Vmware Hyper-V)
  </li>
  <li>
   Preferably experienced in Windows OS and services
  </li>
  <li>
   Good knowledge of
   <strong>
    Foreman, Red Hat Satellite, AWX
   </strong>
   (deploying packages, scripting, images)
  </li>
  <li>
   Knowledge and experience in managing datacenter operations and physical/virtual server environments.
  </li>
  <li>
   Good knowledge of English,
  </li>
  <li>
   Strong analytic/problem solving skills,
  </li>
  <li>
   Self-motivated and keen to keep learning,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Working Conditions &amp; Opportunities
  </strong>
 </p>
 <p>
  This position will also provide you work with a hybrid working in our modern office in Istanbul/Giyimkent.
 </p>
 <ul>
  <li>
   A collaborative and inclusive team environment.
  </li>
  <li>
   Access to the latest technologies and tools.
  </li>
  <li>
   Continuous training and professional development opportunities.
  </li>
  <li>
   Opportunities for professional growth and advancement.
  </li>
  <li>
   A dynamic and innovative working environment.
  </li>
  <li>
   Employee discounts on our products.
  </li>
 </ul>
 <p>
  At LC Waikiki, our values being virtuous, achieving together, extensive expertise, being customer-oriented, challenging the difficulties.
 </p>
 <p>
  We would like to see important and game changer team members like you who will work and contribute for our goals. We are excited for you to create and grow your own career at LC Waikiki.
 </p>
 <p>
  So if you ready to dynamism and want to grow with challenges, come and join us!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    At LC Waikiki, we take the time to review each and every application due to LC Waikiki prerequisites. If your application found appropriate, we will contact you via phone or email.
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Our Recruitment Journey:
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    (The process may vary depending on the position)
   </em>
  </strong>
 </p>
 <p>
  <strong>
   <em>
    Interview / Technical Test / Assessment Center Applications / Reference Check / Offer
   </em>
  </strong>
 </p>
</div>


IT Field Systems Management Engineer

TEB Arf

<div>
 <p>
  <strong>
   Data Scientist &ndash; AI &amp; Data Science Team (TEB Arf, &Idot;stanbul &ndash; B&Uuml;DOTEK Teknopark)
  </strong>
 </p>
 <p>
  Join TEB Arf&rsquo;s innovative AI &amp; Data Science Team and help us redefine the future of banking! We&rsquo;re a dynamic group pushing the boundaries of artificial intelligence to develop cutting-edge solutions that deliver real impact. As a Data Scientist, you&rsquo;ll own the entire lifecycle of AI/ML solutions &ndash; from development and deployment to monitoring and continuous improvement &ndash; collaborating closely with business stakeholders to solve complex challenges.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Data Engineering &amp; Preparation:
   </strong>
   Extract, clean, transform, and validate data from diverse sources to create high-quality datasets for model development. Design and maintain scalable data pipelines using SQL and Python.
  </li>
  <li>
   <strong>
    Model Development &amp; Evaluation:
   </strong>
   Select, build, train, and rigorously evaluate machine learning models (regression, classification, clustering, time series) using libraries such as Scikit-learn, XGBoost, and TensorFlow/PyTorch. Employ techniques like cross-validation to ensure robust and generalizable results.
  </li>
  <li>
   <strong>
    Business Translation &amp; Impact:
   </strong>
   Collaborate with stakeholders to understand business needs and translate them into actionable analytical solutions. Design and execute experiments (A/B testing) to validate hypotheses and measure the impact of your work.
  </li>
  <li>
   <strong>
    Deployment &amp; Monitoring:
   </strong>
   Work with SDLC teams to deploy models into production, continuously monitor performance, and proactively address issues (model drift, data quality).
  </li>
  <li>
   <strong>
    Communication &amp; Documentation:
   </strong>
   Clearly communicate complex technical concepts to both technical and non-technical audiences. Maintain thorough documentation of all analytical processes and results.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Engineering, Electrical/Electronics Engineering, Industrial Engineering, Statistics, or Mathematics.
  </li>
  <li>
   5+ years of experience, with at least 3 years in a dedicated Data Science role.
  </li>
  <li>
   Expert proficiency in SQL and Python.
  </li>
  <li>
   Strong understanding of machine learning/deep learning concepts, algorithms, and a practical ability to apply them.
  </li>
  <li>
   Hands-on experience developing and deploying machine learning models and AI applications.
  </li>
  <li>
   Solid understanding of MLOps and LLMOps principles.
  </li>
  <li>
   Familiarity with CI/CD platforms and containerization (Docker, Kubernetes).
  </li>
  <li>
   Excellent English communication skills (verbal and written).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Bonus Points:
  </strong>
 </p>
 <ul>
  <li>
   Experience with Java or C++.
  </li>
  <li>
   Knowledge of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and agentic AI architectures.
  </li>
  <li>
   Master&rsquo;s or PhD in a related field.
  </li>
  <li>
   Experience in the banking or financial services industry.
  </li>
 </ul>
 <p>
 </p>
</div>


Data Scientist – AI & Data Science Team

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

Crs Soft

<div>
 <p>
  <strong>
   Who we are?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  It&rsquo;s time to turn on bright mode. Let&rsquo;s meet!
 </p>
 <p>
  We are a software company that produces niche technologies with an innovative, dynamic, and added-value understanding to the leading companies in its field, serving in different sectors in Turkey and abroad. For starters, the first thing you should know is that Crs is an umbrella organization. Our e-transformation brand, e-d&uuml;nya, offers digital solutions on a single platform. Our game brand Corvus Jay provides players of all ages and backgrounds with captivating, humorous, and artistic games that transcend the ordinary and deliver unforgettable experiences with its open-minded, humorous, creative, and vibrant world of pop art. We are excited to expand our investment areas and the sectors we are involved in. Our focus is on innovative research, exploring Big Data Processing, AI, machine learning, and game development. As one of the top 500 IT companies in Turkey, we are one of the fastest-growing technology companies selected by Deloitte Turkey for the 6th time in a row. Our route is always the same, the future!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Experience &amp; Skills
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The ideal candidate will have:
  </strong>
 </p>
 <ul>
  <li>
   BS or MS degree in computer engineering, computer science or equivalent experience
  </li>
  <li>
   0-2 years experience in software projects
  </li>
  <li>
   &NoBreak;Perform full life-cycle development tasks for cross-platform applications
  </li>
  <li>
   Strong understanding of OOP principles and software design patterns
  </li>
  <li>
   Knowledge of HTTP/HTTPS protocols, RESTful APIs
  </li>
  <li>
   Knowledge of GIT and experience in branch models
  </li>
  <li>
   Familiarity with platforms such as Android Studio, Xcode
  </li>
  <li>
   Knowledge of Node.js and React Native
  </li>
  <li>
   &NoBreak;Experience with open source platforms, including contributions on open source platforms is a plus
  </li>
  <li>
   Innovative point of view and passioned in learning new things and developing him/her self
  </li>
  <li>
   Good analytical skills, and being eager to develop and take on responsibility
  </li>
  <li>
   Fluency in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Mobile Engineer you will participate in agile software development process, drive development of large-scale, distributed mobile-based applications and develop innovative mobile applications. You should bring and share sufficient process experience in Agile/Scrum methodology, emphasizing collaboration and teamwork in application to large enterprise software development projects.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Perks &amp; Benefit
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Being part of an innovative team with a young and dynamic mindset
  </li>
  <li>
   Buffet breakfast in the office every morning
  </li>
  <li>
   Comprehensive private health insurance package
  </li>
  <li>
   Meal card &amp; commute compensation,
  </li>
  <li>
   Lots of events and celebrations (check out @crssoft on Instagram)
  </li>
  <li>
   Education fund to support learning and development opportunities
  </li>
  <li>
   Paid birthday off to spend time with your loved ones
  </li>
  <li>
   A gift book on your birthday
  </li>
  <li>
   All the technical equipment and licenses you need
  </li>
  <li>
   Marriage leave (5 days)
  </li>
  <li>
   No dress code!
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Join Us
  </strong>
 </p>
 <p>
  <strong>
   <span class="ql-cursor">
   </span>
  </strong>
 </p>
 <p>
  Work hard play hard. 😊 At Crs Soft, we benefit from the power of technology and science, and we achieve the best with our creative and innovative team. Lifelong learning, open-mindedness and leadership are part of our culture. We celebrate all our achievements and special moments together and we know how to have fun.
 </p>
</div>


Mobile Engineer

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