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business intelligence engineer Jobs in Istanbul

business intelligence engineer

lead data scientist

senior data scientist

big data engineer

Peak

<div>
 <p>
  Are you eager to tackle complex data engineering challenges and further develop your skills? We are seeking motivated interns to join our Big Data Team in Peak office for a 2 months summer internship.
 </p>
 <p>
  <br/>
 </p>
 <p>
  At Peak, data is the backbone of our operations - terabytes flowing in and billions of events happening on a daily basis. Our Big Data Engineering Team is responsible for building end-to-end data pipelines and delivering the processed data to the target services so that our Business Intelligence team can enable everyone to generate actionable insights.
 </p>
 <p>
  <br/>
 </p>
 <p>
  As a Big Data Engineering Intern, you will also participate in the team with your work on our Open Source Projects and have the opportunity to distinguish yourself as an open source contributor.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   Here
  </u>
  are more details about how we work in Big Data Engineer Team.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What you&rsquo;ll do during your internship
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Support the team in designing and building data processing architecture in the cloud
  </li>
  <li>
   Perform effectively both independently and as part of a team that loves to deploy best practices
  </li>
  <li>
   Learn how to build an automated and scalable data pipeline
  </li>
  <li>
   Involve in ongoing projects and be part of a dynamic environment
  </li>
  <li>
   Participate in weekly planning and review meetings
  </li>
  <li>
   Develop strong engineering skills and programming fundamentals
  </li>
  <li>
   Work with multiple tasks that need strong analytical and problem-solving skills with an attention to detail
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What we&rsquo;re looking for
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Currently enrolled in university in your 3rd or 4th year of Computer Science / Computer Engineering or a related field of studies
  </li>
  <li>
   Available to work full-time at our Istanbul office for 8 weeks during summer 2026
  </li>
  <li>
   Eager to apply academic knowledge in a fast-paced, hands-on work environment
  </li>
  <li>
   Real passion for software engineering, as demonstrated by previous internships, work experience or projects
  </li>
  <li>
   Deep understanding of data structures, in particular how they are implemented and how to apply them to solve problems
  </li>
  <li>
   Great attitude towards learning new skills and applying them in projects
  </li>
  <li>
   Prior experience with Python and Go is a plus
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Hiring process
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  The internship period will be between July 1st and August 28th, 2026. Once you have been selected, you will get a technical assignment through HackerRank to assess your engineering skills.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Following your assessments the next steps will be:
 </p>
 <ul>
  <li>
   Online HR &amp; Tech interview
  </li>
  <li>
   Online final interview
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  Last day to apply is February 1st, 2026.
 </p>
 <p>
  <br/>
 </p>
 <p>
  We hope to hear from you soon!
 </p>
</div>


Summer Intern, Big Data Platform Engineer

Peak 

<p></p><div><p>Are you eager to tackle complex data engineering challenges and further develop your skills? We are seeking motivated interns to join our Big Data Team in Peak office for a 2 months summer internship.<br>
<br>
At Peak, data is the backbone of our operations - terabytes flowing in and billions of events happening on a daily basis. Our Big Data Engineering Team is responsible for building end-to-end data pipelines and delivering the processed data to the target services so that our Business Intelligence team can enable everyone to generate actionable insights.<br>
<br>
As a Big Data Engineering Intern, you will also participate in the team with your work on our Open Source Projects and have the opportunity to distinguish yourself as an open source contributor.<br>
<br>
Here are more details about how we work in Big Data Engineer Team.</p>
<h3 class="jobSectionHeader"><b>What you&rsquo;ll do during your internship</b></h3>
<p></p><ul><li>Support the team in designing and building data processing architecture in the cloud</li><li>
Perform effectively both independently and as part of a team that loves to deploy best practices</li><li>
Learn how to build an automated and scalable data pipeline</li><li>
Involve in ongoing projects and be part of a dynamic environment</li><li>
Participate in weekly planning and review meetings</li><li>
Develop strong engineering skills and programming fundamentals</li><li>
Work with multiple tasks that need strong analytical and problem-solving skills with an attention to detail</li></ul>
<h3 class="jobSectionHeader"><b>What we&rsquo;re looking for</b></h3>
<p></p><ul><li>Currently enrolled in university in your 3rd or 4th year of Computer Science / Computer Engineering or a related field of studies</li><li>
Available to work full-time at our Istanbul office for 8 weeks during summer 2026</li><li>
Eager to apply academic knowledge in a fast-paced, hands-on work environment</li><li>
Real passion for software engineering, as demonstrated by previous internships, work experience or projects</li><li>
Deep understanding of data structures, in particular how they are implemented and how to apply them to solve problems</li><li>
Great attitude towards learning new skills and applying them in projects</li><li>
Prior experience with Python and Go is a plus</li><div></div><li><div><b><br>
Hiring process</b></div></li><div></div><li><div><br>
The internship period will be between July 1st and August 28th, 2026. Once you have been selected, you will get a technical assignment through HackerRank to assess your engineering skills.</div></li><div></div><li><div><br>
Following your assessments the next steps will be:</div></li><li>
Online HR &amp; Tech interview</li><li>
Online final interview</li><div></div><li><div><br>
Last day to apply is February 1st, 2026.<br>
</div></li><div></div><br>
<li><div>We hope to hear from you soon!</div></li></ul></div>

Odine

<div>
 <p>
  Join our growing technology team as a Senior Engineer, focusing on the development of scalable and data-intensive applications. In this role, you will work with distributed system technologies and various database architectures to design, build, and maintain reliable solutions. You will contribute to end-to-end data workflows&mdash;from data ingestion to processing and governance&mdash;while continuously developing your skills and contributing to impactful technology projects.
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain scalable, data-driven applications
  </li>
  <li>
   Work with distributed systems to ensure performance, reliability, and scalability
  </li>
  <li>
   Build and optimize data pipelines across different stages of data processing
  </li>
  <li>
   Collaborate with cross-functional teams to deliver high-quality software solutions
  </li>
  <li>
   Contribute to system design decisions and continuously improve existing architectures
  </li>
 </ul>
 <p>
  <strong>
   Required Skills and Qualifications
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Distributed Systems Experience:
   </strong>
   Hands-on experience developing or maintaining distributed applications, with an understanding of system behavior and performance considerations
  </li>
  <li>
   <strong>
    Database Knowledge:
   </strong>
   Good command of SQL and experience working with columnar or NoSQL databases
  </li>
  <li>
   <strong>
    Big Data Technologies:
   </strong>
   Practical experience with tools such as Apache Spark, Flink, and Apache Kafka
  </li>
  <li>
   <strong>
    Cloud-Native Technologies:
   </strong>
   Experience working with cloud-native environments and tools like Kubernetes and Docker
  </li>
  <li>
   <strong>
    Problem-Solving Skills:
   </strong>
   Strong analytical mindset with a structured and solution-oriented approach
  </li>
  <li>
   <strong>
    Education:
   </strong>
   BSc or MSc in Software Engineering, Computer Science, or a related field
  </li>
 </ul>
 <p>
  <strong>
   Experience Level
  </strong>
 </p>
 <p>
  This role is suitable for professionals with
  <strong>
   3&ndash;5 years of experience
  </strong>
  in developing data-intensive applications. Experience working with distributed systems and modern data platforms is expected, along with the ability to take ownership of tasks and contribute effectively within a team environment.
 </p>
 <p>
  <strong>
   Why Join Us?
  </strong>
 </p>
 <p>
  Our R&amp;D offices in
  <strong>
   Urla and Istanbul
  </strong>
  offer a dynamic and collaborative environment where innovation is encouraged. We support professional growth, value initiative, and provide opportunities to work on meaningful projects using modern technologies.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   *All applications will be treated with strict confidentiality.
  </em>
 </p>
</div>


Software Developer in Data

Garanti BBVA Teknoloji

<div>
 <p>
  <strong>
   If you have passion for technology as we do and want to be part of a great team which leads innovation in Fintech, join us.
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are?
  </strong>
 </p>
 <p>
  <strong>
   We Create World Class Financial IT Services
  </strong>
 </p>
 <p>
  We are a leading technology company which provides technology infrastructure, software development, big data and data analytics, internet applications, integration, system management, security management, project management and enterprise applications services to Garanti BBVA branded institutions.
 </p>
 <p>
  We are an agile team, developing revolutionary and innovative products. We develop emerging financial technologies and end-to-end high-tech solutions with our expert development teams.
  <strong>
   #teknolojidekitutkuyuke&scedil;fet
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Many reasons which will make you say I love working at Garanti BBVA Technology
  </strong>
 </p>
 <p>
  We have a passion for technology, we think big and we continuously explore and seek improvement, we trust the power of empowerment. We are an academy for talents. Thus, we are &ldquo;one team&rdquo; and we always achieve together.
 </p>
 <p>
  The place we call &ldquo;our office&rdquo; has no boundaries. We stand for a positive team culture, shared and lived together anywhere.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   So, what awaits you Garanti BBVA Technology?
  </strong>
 </p>
 <ul>
  <li>
   Flexible working hours,
  </li>
  <li>
   A buddy who will guide and accompany you during your onboarding process,
  </li>
  <li>
   Career development opportunities on a well-defined career path,
  </li>
  <li>
   Local and global career opportunities,
  </li>
  <li>
   A great number of online courses and technical trainings (Kamp&uuml;s Garanti BBVA, Coursera, Linkedin etc.) that will support you throughout your development,
  </li>
  <li>
   A personalized development plan for you,
  </li>
  <li>
   Birthday off day,
  </li>
  <li>
   Private health and life insurance,
  </li>
  <li>
   Practice classes in English and Spanish,
  </li>
  <li>
   Discount on master programs,
  </li>
  <li>
   Online well-being program,
  </li>
  <li>
   Sabbatical leave granted for every seven years at Garanti BBVA Technology.
  </li>
  <li>
   In addition to all these, we also meet our teammates in person in regular intervals or whenever we miss each other ❤ either in our &Idot;stanbul, Ankara or Izmir offices, which are full of social opportunities and sportive activities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Your Impact
  </strong>
 </p>
 <p>
  <strong>
   The AI Engineering team in AI Factory Unit
  </strong>
  works passionately to shape the technologies of the future.
 </p>
 <p>
  They value being a team, learning from each other and producing together. Since they are excellent teammates, they are proficient in positive interpersonal communication, taking responsibility and valuing different ideas.
 </p>
 <p>
  They are creative and productive. Their business is based on innovation and is only limited by their dreams. Now they are looking for new teammates with whom they will achieve together.
 </p>
 <p>
  In that team;
 </p>
 <ul>
  <li>
   Create, develop and maintain machine learning, deep learning and Large Language Models infrastructure &amp; lifecycles, integrate to banking processes
  </li>
  <li>
   Design and build bank's big data architecture and develop analytical datamarts
  </li>
  <li>
   Design and improve end to end advance analytical services using powerful techologies, meet customer expectations in analytical area
  </li>
  <li>
   Act as data developer and take responsibility in selforganized agile teams
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How do we describe the perfect match?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering
  </li>
  <li>
   Minimum 4 years of professional experience in data and / or software engineering
  </li>
  <li>
   Experience with ETL development, ODI is a plus
  </li>
  <li>
   Experience with common Apache Projects (Hadoop, Kafka, HIVE, Nifi etc)
  </li>
  <li>
   Experience with Apache Spark, Scala is plus
  </li>
  <li>
   Experience with Java, Python is a plus
  </li>
  <li>
   Experience with analytical model scoring, deployment, management and monitoring is a plus.
  </li>
  <li>
   Experience with MLOps approach is a plus
  </li>
  <li>
   Experience with and GEN AI infrastructure and model lifescyle management of LLM&rsquo;s is plus
  </li>
  <li>
   Familiarity with NoSQL databases (Hbase,Elastic ,Couchbase etc) is a plus
  </li>
  <li>
   Familiarity with microservices, (Kubernetes, Openshift) is a plus
  </li>
  <li>
   A passion for maintaining high quality and following standards for processes and software
  </li>
  <li>
   Being passionate about experiencing and implementing data technologies
  </li>
  <li>
   ETL infrastructure know how (automation, knowledge module experience, groovy etc.) is a plus
  </li>
  <li>
   Data Visiualization experience is a plus.
  </li>
 </ul>
 <p>
  <strong>
   📢 If you would like to get to know more about Garanti BBVA Technology, please follow us on Instagram, LinkedIn, Medium and our Company Website;
  </strong>
 </p>
 <p>
  <strong>
   https://www.garantibbvateknoloji.com.tr/
  </strong>
 </p>
 <p>
  <strong>
   https://www.instagram.com/garantibbvateknoloji/
  </strong>
 </p>
 <p>
  <strong>
   https://www.linkedin.com/company/garanti-teknoloji/
  </strong>
 </p>
 <p>
  <strong>
   https://medium.com/@GarantiBBVATeknoloji
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &Ccedil;e&scedil;itlilik yakla&scedil;&inodot;m&inodot;m&inodot;z
 </p>
 <p>
  <em>
   &Ccedil;e&scedil;itlili&gbreve;in g&uuml;c&uuml;ne inanan ve herkesin i&scedil;e katk&inodot;s&inodot;n&inodot; &ouml;nemseyen uluslararas&inodot; yakla&scedil;&inodot;mlar&inodot; dikkate al&inodot;yor, kapsay&inodot;c&inodot;l&inodot;&gbreve;&inodot;n i&scedil;imizin geli&scedil;mesine farkl&inodot; a&ccedil;&inodot;lardan katk&inodot; sa&gbreve;lad&inodot;&gbreve;&inodot;na inan&inodot;yoruz. &Ccedil;e&scedil;itlili&gbreve;in temsil edildi&gbreve;i kurulu&scedil;lar ba&scedil;ar&inodot;lar&inodot;n&inodot; art&inodot;r&inodot;rken, ki&scedil;ilerin kendilerine de&gbreve;er verildi&gbreve;ini hissetti&gbreve;i i&scedil; ortamlar&inodot;nda &ccedil;al&inodot;&scedil;an ba&gbreve;l&inodot;l&inodot;&gbreve;&inodot; ve verimlili&gbreve;inde daha olumlu sonu&ccedil;lar elde edildi&gbreve;ini g&ouml;r&uuml;yoruz. E&scedil;it istihdam sa&gbreve;lamay&inodot; g&ouml;rev edinen bir kurum olarak &ccedil;e&scedil;itlili&gbreve;i destekliyoruz.
  </em>
 </p>
 <p>
  <em>
   &Ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n mesleki ve ki&scedil;isel geli&scedil;imine f&inodot;rsat sunan, kendilerini en iyi &scedil;ekilde g&ouml;stermelerini sa&gbreve;layan, geli&scedil;imlerine odaklanan i&scedil;birlik&ccedil;i ve kapsay&inodot;c&inodot; bir &ccedil;al&inodot;&scedil;ma ortam&inodot; yaratmak i&ccedil;in yeni ad&inodot;mlar atmaya devam ediyoruz.
  </em>
 </p>
 <p>
 </p>
</div>


AI Factory / Machine Learning Engineer

Vertigo Games

<div>
 <p>
  <strong>
   ABOUT VERTIGO GAMES
  </strong>
 </p>
 <p>
  We create amazing games that rank at the top on both iOS &amp; Android, loved and played by 150 + million fans worldwide!
 </p>
 <p>
  Check out our smash-hit games:
 </p>
 <p>
  <br/>
 </p>
 <p>
  -
  <strong>
   Critical Strike
  </strong>
 </p>
 <p>
  -
  <strong>
   Polygun Arena
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Now, we're looking for a passionate
  <strong>
   Data Engineer
  </strong>
  to join our dynamic team in
  <strong>
   Istanbul
  </strong>
  . This is an
  <strong>
   on-site role
  </strong>
  , requiring you to work
  <strong>
   5 days a week
  </strong>
  from our office in
  <strong>
   Levent
  </strong>
  .
 </p>
 <p>
  In this role, we deeply care about your passion for building reliable, scalable data systems that support our games. We highly encourage you to
  <strong>
   get familiar with both of our games before you apply and complete your application only if you're genuinely excited
  </strong>
  to design efficient pipelines, optimize data flows, and enable high-quality analytics that power our product and growth decisions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Own and evolve our Airflow &amp; DBT-based data pipeline architecture.
  </li>
  <li>
   Develop reliable and cost-efficient data workflows that ensure timely and accurate data delivery.
  </li>
  <li>
   Build and maintain ETL/ELT processes to ingest data from external and internal sources.
  </li>
  <li>
   Collaborate with analysts, engineers, and product teams to design scalable data models.
  </li>
  <li>
   Implement and optimize data warehouse structures (BigQuery or others) for analytical efficiency.
  </li>
  <li>
   At least 1 proven DWH project experience in cloud-native architectures (GCP or AWS)
  </li>
  <li>
   Monitor and troubleshoot pipeline failures, optimize for performance and cost-efficiency.
  </li>
  <li>
   Ensure data quality, consistency, and governance across the stack.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   2+ years of experience in a data engineering or backend data-focused role.
  </li>
  <li>
   Proficiency in
   <strong>
    DBT
   </strong>
   for data modeling and transformation.
  </li>
  <li>
   Hands-on experience with
   <strong>
    Apache Airflow
   </strong>
   for orchestration and scheduling.
  </li>
  <li>
   Solid understanding of
   <strong>
    ETL/ELT pipelines
   </strong>
   and cloud-based data workflows.
  </li>
  <li>
   Experience working with
   <strong>
    Google Cloud Platform
   </strong>
   (e.g., BigQuery, Cloud Run, Cloud Functions, Cloud SQL).
  </li>
  <li>
   <strong>
    Proficiency in Python
   </strong>
   for scripting and workflow automation.
  </li>
  <li>
   Strong command of
   <strong>
    SQL
   </strong>
   and experience building data models in a warehouse environment.
  </li>
  <li>
   Understanding of cost optimization practices in cloud environments.
  </li>
  <li>
   Familiarity with CI/CD processes and version control systems like Git.
  </li>
  <li>
   Good communication skills and the ability to work cross-functionally with analysts and developers.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits
  </strong>
 </p>
 <ul>
  <li>
   A Compensation Package That Reflects Your Contribution: We keep it simple. Competitive pay that matches the work you deliver.
  </li>
  <li>
   Meal Allowance: Enough for a solid, satisfying meal.
  </li>
  <li>
   Delicious In-Office Catering: Fresh meals, good coffee, sweet treats. No place for hunger, ever.
  </li>
  <li>
   Private Health Insurance: Complementary private health insurance so you can get care without second thoughts.
  </li>
  <li>
   Continuous Learning Support: A monthly budget for courses and platforms, because staying sharp is part of the job.
  </li>
  <li>
   Equity That Actually Makes You a Partner: We offer real equity, not symbolic. Once you reach a certain contribution level, you earn a meaningful stake in the company. When we grow, you grow with us.
  </li>
  <li>
   Meaningful Time Off: Starting from your first year, you receive bonus company-wide rewind holidays: A special extra break even before standard annual leave kicks in. And your birthday is a free day on us.
  </li>
  <li>
   Referral Bonus: Introduce great talent to the team and earn a reward when they join.
  </li>
  <li>
   Milestone Awards: As you reach key milestones with us, you earn bonus rewards that recognize your long-term contribution.
  </li>
  <li>
   A Culture Built Around Players &amp; Ownership: Curious, collaborative, and focused. We're here to build great games together.
  </li>
  <li>
   A Modern, Comfortable Office in Levent: Bright space, central location, one step from the metro designed to keep you in the "zone".
  </li>
  <li>
   Game Room: A dedicated Xbox corner for fun breaks and quick gaming sessions whenever you need to unwind.
  </li>
  <li>
   Office Events That Keep Us Connected: Fun team moments, regular happy hours, and in-office events throughout the year.
  </li>
 </ul>
</div>


Data Engineer

Luxoft

<div><div><h5 class="jobSectionHeader"><b>Project description
</b></h5><p>Luxoft is one of the major software services companies world-wide. In particular, we develop high-quality software in automotive industry for most famous car makers.<br>
<br>
The software inside a vehicle was traditionally expected to be a very controlled and self-contained environment. Equipping cars with perception and machine intelligence changes a lot in the overall picture of the vehicle manufacturer. Luxoft's goal is to empower our customers, with deep domain knowledge and smart solutions, to develop cars of the future.<br>
<br>
The project is dedicated for development of the tools for virtual testing of ADAS systems using data-driven development approach. Tools to be extended to the 2025 kit and allow to test and validate higher automation level cars and bring them to the roads. The target automation level is 3, which means that the car will be fully responsible for driving under specific conditions (highways, specific areas, traffic jams, etc). To bring fully autonomous car to the roads and to bring the future to reality, its safety has to be proven, for this purpose testing on private grounds or on public roads is not enough as it requires hundreds of millions of kilometers to ride, so the alternative way of testing - virtual testing and data based testing become more and more actual.<br>
<br>
For the development of the next generation tooling for ADAS (Advanced Driver Assistance Systems) and HAD (Highly Automated Driving) functions for a major German car maker, we are looking for talented engineers and developers.<br>
<br>
Join our enthusiastic and experienced teams and develop software for the vehicles of the future that will be used on a daily basis by millions of drivers once the next generation of cars hits the roads starting from 2025.
</p></div><div><h5 class="jobSectionHeader"><b>Responsibilities</b></h5>
<div><div><p>Enable ADAS functions development and validation to reach their quality goals by providing trustworthy, independent, and enriched Reference Data.
</p></div><div><p>Software Development, Participating in scrum events, Product Demonstration to the customers
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Skills</b></h5>
<p>Must have
</p><div><div><p>Linux (basic CLI and Shell scripting) 2+ years
</p></div><div><p>Python Application Development 3+ years and Python computation support libraries: pandas (dataframes/series), numpy/pyarrow (computation)
</p></div><div><p>Pytest 2+ years
</p></div><div><p>AWS development skills (Step function, AWS Batch, EC2) 2+ years
</p></div><div><p>Docker (building, testing, fixing)
</p></div><div><p>Git
</p></div></div><p>Nice to have
</p><div><div><p>SQL queries
</p></div><div><p>Grafana
</p></div><div><p>AWS advanced knowledge (Lambda, EventBridge, S3, Fargate, Athena)
</p></div><div><p>Insomnia/Swagger/REST/API
</p></div><div><p>GitHub
</p></div><div><p>Scrum Framework experience
</p></div></div></div><div><h5 class="jobSectionHeader"><b>Other</b></h5>
<div><div><div><p>Languages</p>
<p>English: C1 Advanced
</p></div></div><div><div><p>Seniority</p>
<p>Regular</p></div></div></div></div></div>
<br><div><div><div><p>Istanbul, Turkiye
</p></div><p>Req. VR-120067
</p></div><div></div><div><div><p>Python
</p></div><div><p>Automotive Industry</p>
</div><div><p>09/01/2026
</p></div><div><p>Req. VR-120067</p></div></div></div><p></p>

Regular Data Engineer with Python and AWS

Randstad Türkiye

<div>
 <p>
  We are looking for a
  <strong>
   <em>
    "AI Engineer"
   </em>
  </strong>
  on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Master Degree
   </strong>
   from a reputable university in Computer Science/Engineering, or a related field of study, a
   <em>
    PhD degree is a big plus
   </em>
   .
  </li>
  <li>
   Strong modeling experience with ability to build deep learning models.
  </li>
  <li>
   Experience in manipulating and analyzing large and complex datasets.
  </li>
  <li>
   Strong interest in solving real world problems.
  </li>
  <li>
   Experience in optimizing performance-critical applications.
  </li>
  <li>
   Familiarity with at least one ML/DL frameworks and libraries in
   <strong>
    Pytorch
   </strong>
   , Tensorflow, Keras, etc.
  </li>
  <li>
   Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
  </li>
  <li>
   Experience on Kaggle contest is a plus, Getting a Prize will be better.
  </li>
  <li>
   Very good command of written and spoken English,
  </li>
  <li>
   A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
  </li>
  <li>
   Experience in using source control tool (Git) and package managers.
  </li>
  <li>
   Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Publishing academic papers.
  </li>
  <li>
   Preparing proposals for TUBITAK Project etc.
  </li>
  <li>
   Creating AI models from scratch and take ownership of them.
  </li>
  <li>
   Optimize and improve the model with given requirements.
  </li>
  <li>
   Actively participate in development for applying the model.
  </li>
  <li>
   Developing novel architectures for
   <strong>
    Computer Vision
   </strong>
   tasks.
  </li>
 </ul>
</div>


AI Engineer - Computer Vision

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