data engineer

data scientist

software engineer

data analyst

full stack engineer

big data engineer

Trendyol

<div><div><div><b>About the Team</b></div><div>
At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.</div><div>
We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.</div><div></div><div><b><br>
About the Role</b></div><div>
As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Responsibilities</b></h3><ul><li><ul><li>
Build and maintain scalable data pipelines for batch and real-time data processing.</li><li>
Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions</li><li>
Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams</li><li>
Collaborate with cross-functional teams to define data architecture and infrastructure requirements</li><li>
Monitor and improve pipeline performance, scalability, and resilience</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Expected Qualifications</b></h3><ul><li><ul><li>
Bachelor's degree in Computer Science, Engineering or related Information Technologies field</li><li>
2+ years of experience as a Data Engineer or in a similar data-focused role</li><li>
Strong Software Engineering skills</li><li>
Experience with Scala or Java programming language</li><li>
Experience with Go programming language is a plus</li><li>
Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium</li><li>
Experience with big data processing frameworks such as Apache Spark</li><li>
Familiarity with real-time data processing and streaming architectures for low-latency analytics</li><li>
Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)</li><li>
Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect</li><li>
Strong proficiency in SQL for data manipulation, querying, and optimization</li><li>
Experience with RESTful APIs</li><li>
Experience with both RDBMS and NoSQL databases</li><li>
Experience with testing frameworks, including unit testing and data quality validation for data pipelines</li><li>
Experience with containerization technologies such as Docker and Kubernetes</li><li>
Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices</li><li>
Strong problem-solving skills and the ability to work independently and collaboratively</li><li>
Strong English communication skills, written and verbal</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Tech Stack</b></h3><ul><li><ul><li>
Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)</li><li>
Data Integration: Kafka Connect, Debezium</li><li>
Data Processing: Apache Spark</li><li>
Streaming &amp; Messaging: Apache Kafka</li><li>
Workflow Orchestration: Apache Airflow</li><li>
DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform</li><li>
Version Control: Git</li></ul></li></ul></div></div>
<div><div><b>What We Offer</b></div><ul><li><b>Hybrid working model with flexibility:</b> a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.</li><li><b>Customisable FlexBenefits budget: </b>Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.</li><li><b>Well-being support: </b>Access to location-based in-house doctors, as well as psychologist and dietitian support, and HPV vaccination provision.</li><li><b>Personalised training allowance and learning opportunities: </b>Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.</li><li><b>Responsibility from day one: </b>Take full ownership from the start in a culture where every voice is heard and valued.</li><li><b>A diverse, international team: </b>Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.</li><li><b>Opportunities to grow with the best: </b>Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.</li><li><b>Meaningful connections beyond tasks:</b> Be part of team rituals, events, and social activities that help us stay connected and inspired.</li></ul><div></div><div><b><br>
Take the Next Step</b></div><div>
If this role excites you, apply today, we look forward to taking the next step with you.</div><div>
Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.</div></div></div>

Data Engineer

Trendyol Group

<div>
 <p>
  <strong>
   About the Team
  </strong>
 </p>
 <p>
  At Trendyol Tech, our mission is to create a positive impact in our ecosystem by enabling commerce through technology.
 </p>
 <p>
  We solve complex problems with data, creativity, and agility &mdash; always driven by real outcomes. With a culture built on learning, collaboration, and ownership, we grow together while building what&rsquo;s next.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  As a Data Engineer, you will act as the bridge between raw data sources and actionable business intelligence. You will create the foundational architecture that enables our data-driven decisions, building robust, scalable pipelines and systems that connect, transform, and store data. You will play a key role in how we unlock value from our data by ensuring it is clean, reliable, and easily accessible for data scientists, analysts, and business teams.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Build and maintain scalable data pipelines for batch and real-time data processing
  </li>
  <li>
   Work with data platforms and data warehouses to ensure reliable, cost-effective data processing solutions
  </li>
  <li>
   Build and maintain REST APIs to serve processed and aggregated data to downstream applications and teams
  </li>
  <li>
   Collaborate with cross-functional teams to define data architecture and infrastructure requirements
  </li>
  <li>
   Monitor and improve pipeline performance, scalability, and resilience
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Expected Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Computer Science, Engineering or related Information Technologies field
  </li>
  <li>
   2+ years of experience as a Data Engineer or in a similar data-focused role
  </li>
  <li>
   Strong Software Engineering skills
  </li>
  <li>
   Experience with Scala or Java programming language
  </li>
  <li>
   Experience with Go programming language is a plus
  </li>
  <li>
   Experience with Data Integration concepts, open source tools such as Kafka Connect and Debezium
  </li>
  <li>
   Experience with big data processing frameworks such as Apache Spark
  </li>
  <li>
   Familiarity with real-time data processing and streaming architectures for low-latency analytics
  </li>
  <li>
   Familiarity with modern data architectures including data lakes, data warehouses (Vertica), and lakehouse table formats (Apache Iceberg, Delta Lake)
  </li>
  <li>
   Experience with workflow orchestration tools such as Apache Airflow, Dagster or Prefect
  </li>
  <li>
   Strong proficiency in SQL for data manipulation, querying, and optimization
  </li>
  <li>
   Experience with RESTful APIs
  </li>
  <li>
   Experience with both RDBMS and NoSQL databases
  </li>
  <li>
   Experience with testing frameworks, including unit testing and data quality validation for data pipelines
  </li>
  <li>
   Experience with containerization technologies such as Docker and Kubernetes
  </li>
  <li>
   Familiarity with CI/CD pipelines for data engineering and infrastructure-as-code practices
  </li>
  <li>
   Strong problem-solving skills and the ability to work independently and collaboratively
  </li>
  <li>
   Strong English communication skills, written and verbal
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Tech Stack
  </strong>
 </p>
 <ul>
  <li>
   Languages: Scala/Java (primary), Go (preferred), SQL (advanced), Python (nice to have)
  </li>
  <li>
   Data Integration: Kafka Connect, Debezium
  </li>
  <li>
   Data Processing: Apache Spark
  </li>
  <li>
   Streaming &amp; Messaging: Apache Kafka
  </li>
  <li>
   Workflow Orchestration: Apache Airflow
  </li>
  <li>
   DevOps &amp; Infrastructure: Docker, Kubernetes, GitLab CI, Terraform
  </li>
  <li>
   Version Control: Git
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What We Offer
  </strong>
 </p>
 <p>
  A hybrid working model with flexibility &mdash;a schedule that helps you find the right balance between flexibility and team bonding, including work-from-abroad opportunities and a summer working model.
 </p>
 <p>
  A customizable FlexBenefits budget &mdash; Adjust your daily meal allowance, choose your health insurance package (and extend it to your spouse or children), and pick from additional benefits like fuel support or Trendyol shopping credits.
 </p>
 <p>
  Comprehensive wellbeing support &mdash; Take advantage of our extended health package, which includes annual mini health screenings, access to location-based in-house doctors, psychologist and dietitian support, and HPV vaccination coverage.
 </p>
 <p>
  Personalized training allowance and learning opportunities &mdash; Use your annual budget for any training or conference of your choice, explore our Learning Management System (LMS) anytime, and join in-person learning sessions offered throughout the year.
 </p>
 <p>
  Responsibility from day one &mdash; Take full ownership from the start in a culture where every voice is heard and valued.
 </p>
 <p>
  A diverse, international team &mdash; Collaborate with global peers across our offices in Berlin, Amsterdam, Dubai, and beyond, in a startup-spirited and collaborative environment.
 </p>
 <p>
  Opportunities to grow with the best &mdash; Tackle meaningful challenges, develop through hands-on experience, and grow with the support of expert guidance and global mentoring.
 </p>
 <p>
  Meaningful connections beyond tasks &mdash; Be part of team rituals, events, and social activities that help us stay connected and inspired.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Take the Next Step
  </strong>
 </p>
 <p>
  If this role excites you, apply now and let&rsquo;s take the next step together.
 </p>
 <p>
  Want to get to know the team better first? Explore our Career Website, LinkedIn, or YouTube to learn more about #LifeatTrendyol and how we work.
 </p>
</div>


<div>
 <p>
  TOM Bank is T&uuml;rkiye&rsquo;s first game-changer digital retail bank with the vision of being the biggest in T&uuml;rkiye and among the five fintech in Europe.
 </p>
 <p>
  TOM , which reached 9 million users in a short time with the Hadi application, is under the umbrella of Ayd&inodot;n Holding which hosts strong brands such as A-101, English Home, Memorial and also includes companies TOM Bank, TOM Digital, TOM PAY, TOM Finansman.
 </p>
 <p>
  TOM Bank is here to change banking!
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Job Description:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, build, and operate
   <strong>
    data pipelines
   </strong>
   on our modern lakehouse stack
  </li>
  <li>
   Develop and maintain
   <strong>
    batch and streaming ingestion
   </strong>
   processes for mission-critical banking data
  </li>
  <li>
   Implement clean, reliable
   <strong>
    data models
   </strong>
   using the Medallion architecture
  </li>
  <li>
   Ensure pipeline
   <strong>
    performance, reliability, and observability
   </strong>
   with best practices in monitoring, testing, and lineage
  </li>
  <li>
   Support
   <strong>
    data quality
   </strong>
   by building automated checks
  </li>
  <li>
   Collaborate with analytics, product, and engineering teams to understand data needs and deliver scalable solutions
  </li>
  <li>
   Contribute to the continuous improvement of our data environment, engineering standard
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <u>
    Qualifications:
   </u>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
  </li>
  <li>
   3+ years of experience as a
   <strong>
    Data Engineer
   </strong>
   in high-volume data environments
  </li>
  <li>
   Hands-on experience with
   <strong>
    Spark (PySpark/Scala)
   </strong>
   and distributed data processing
  </li>
  <li>
   Strong proficiency in
   <strong>
    SQL
   </strong>
  </li>
  <li>
   Experience with
   <strong>
    object storage
   </strong>
   (S3 or compatible) and modern table formats (Iceberg/Delta/Hudi)
  </li>
  <li>
   Familiarity with
   <strong>
    Airflow
   </strong>
   or similar orchestration tools
  </li>
  <li>
   Knowledge of database fundamentals, data warehousing, medallion architecture and data modeling for analytics
  </li>
  <li>
   Nice-to-have: Talend, dbt, Kafka/streaming systems
  </li>
  <li>
   Strong communication skills and the ability to collaborate with cross-functional teams.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Who We Are :
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  As TOM,
 </p>
 <ul>
  <li>
   Customer Passionate 💜
  </li>
  <li>
   Game Changers 🚀
  </li>
  <li>
   Smart Efficient 🤝
  </li>
  <li>
   Super Clear 😎
  </li>
  <li>
   The Dream Team 🏅
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you are ready to take off, join us and let&rsquo;s change the future of banking together!
  </strong>
 </p>
 <p>
  <strong>
   To know us better, download the link :
  </strong>
  <u>
   https://hadigeliyorhadi.com.tr/hadi-indir
  </u>
 </p>
 <p>
 </p>
</div>


OBSS

<div>
 <p>
  <strong>
   Company Description
  </strong>
 </p>
 <p>
  OBSS is Turkey&rsquo;s largest technology consultancy, pioneering product development and technology consulting for an AI-native future. With more than 20 years of experience and offices in Istanbul, Ankara, London, Amsterdam, and Baku, we empower leading companies in banking and finance, insurance, e-commerce, retail, and the start-up ecosystem. Our team of over 1000 talented professionals thrives on collaboration, innovation, and continuous learning.
 </p>
 <p>
  <br/>
 </p>
 <p>
  OBSS is looking for a
  <strong>
   Data Engineer
  </strong>
  to join our dynamic team and contribute to delivering high-impact, data-driven solutions. You will work on cutting-edge projects, collaborating with cross-functional teams to build advanced models, generate insights, and design scalable solutions that drive real business outcomes.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Main Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   7&ndash;8 years of experience in data engineering or large-scale data projects
  </li>
  <li>
   Design and manage scalable and resilient data pipelines using the Confluent platform
  </li>
  <li>
   Experience working in enterprise Kafka environments, preferably in regulated or large corporate settings
  </li>
  <li>
   Develop solutions for real-time data processing needs
  </li>
  <li>
   Lead performance, reliability, and scalability improvements for data flows
  </li>
  <li>
   Provide support during off-hours for critical production issues when needed
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications / Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   Advanced knowledge of Confluent ecosystem components
  </li>
  <li>
   (Broker, Control Center, Schema Registry, Connect, Replicator, etc.)
  </li>
  <li>
   Expertise in Kafka cluster management, partitioning strategies, throughput optimization, and fault-tolerant design
  </li>
  <li>
   Strong experience with stream processing tools (Kafka Streams, ksqlDB, etc.)
  </li>
  <li>
   Deep understanding of distributed systems and event-driven architectures
  </li>
  <li>
   Proficiency in Python, Java, or Scala (advanced level)
  </li>
  <li>
   Hands-on experience with monitoring, alerting, and logging tools
  </li>
  <li>
   Strong troubleshooting skills, including root-cause analysis in complex production environments
  </li>
  <li>
   Excellent communication and documentation skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Additional Information
  </strong>
 </p>
 <p>
  <strong>
   Professional Growth &amp; Learning
  </strong>
 </p>
 <p>
  As a tech company, we focus on reskilling and upskilling to support career growth. We offer a personalized Individual Growth Program (IGP), where employees set clear goals for each half of the year. These goals may include trainings, certifications, and personal development milestones, creating a structured roadmap for continuous improvement. The IGP helps employees strengthen both technical and soft skills, ensuring steady professional advancement.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Company Culture and Values
  </strong>
 </p>
 <p>
  We celebrate diversity, inclusion, and equal opportunity, fostering a collaborative environment where innovation can flourish. Our culture emphasizes mentorship, knowledge sharing, and active participation in tech communities, workshops, and team events. This vibrant atmosphere empowers employees to contribute their best while feeling supported and valued.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits and Perks
  </strong>
 </p>
 <p>
  We provide competitive salaries, flexible and hybrid working arrangements, and a wide range of opportunities for growth through training programs, certifications, and workshops. In addition, we offer initiatives designed to build a supportive and engaging workplace where curiosity and collaboration are encouraged. These benefits ensure that employees feel motivated, empowered, and equipped to reach their full potential.
 </p>
 <p>
 </p>
</div>


Analythinx | The Data Science Company

<div>
 <p>
  <strong>
   Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, MIS, or a related field
  </li>
  <li>
   5+ years of professional experience as a Data Engineer in high-volume, data-intensive environments
  </li>
  <li>
   Strong hands-on experience with Apache Spark (PySpark and/or Scala) and distributed data processing
  </li>
  <li>
   Strong proficiency in SQL, including writing and optimizing complex queries on large datasets
  </li>
  <li>
   Experience with object storage systems (S3 or S3-compatible) and modern table formats (Iceberg, Delta Lake, or Hudi)
  </li>
  <li>
   Proven experience designing, implementing, and maintaining scalable data pipelines (ETL/ELT)
  </li>
  <li>
   Experience with workflow/orchestration tools such as Apache Airflow (or similar)
  </li>
  <li>
   Familiarity with real-time data processing and streaming architectures (e.g. Kafka, Spark Structured Streaming, Flink)
  </li>
  <li>
   Solid understanding of database fundamentals, data warehousing concepts, and modern data platform patterns (e.g. medallion architecture / lakehouse)
  </li>
  <li>
   Strong communication skills and the ability to collaborate with cross-functional and client-facing teams
  </li>
  <li>
   Ability to work independently as a consultant, manage priorities, and drive tasks to completion with minimal supervision
  </li>
 </ul>
</div>


Senior Data Engineer

Accenture

<div><div><div>Job Description</div></div><div><div><div><div><div><div><div><div><div><p>
Accenture Industry X is an advanced, digitally enabled, innovative planning and investment approach for manufacturing and asset-intensive industries. In your role within our Industry X team, you&rsquo;ll help clients take advantage of significant market opportunities as digital technology moves into the core of industry in product development and manufacturing environments. You&rsquo;ll assist them in transforming their product, manufacturing, and product-related services value chains across sectors such as Products, Communications, Media, High Tech, Chemicals, Mining, Oil &amp; Gas, and Utilities. As part of Accenture Industry X, you&rsquo;ll benefit from tailored career management and specialist skills that will fuel your ambitions.</p><p></p><p>
What&rsquo;s in it for you?</p><p>
✨<b>Work-Life Balance: </b>Hybrid working model / Flexible hours / Birthday off / No dress code / Happy Hours</p><p>
<b>Health &amp; Wellness: </b>Life &amp; Health Insurance / An Employee Assistance &amp; Wellness Program</p><p>
<b>Transportation</b>: Shuttle service / Transportation support</p><p>
 <b>Financial Benefits: </b>Meal allowance / Employee Referral Bonus Program / Performance bonus &amp; promotion / Accenture Recognition Points
</p><p><b>Professional Development: </b>Learning budget / Personal career development with People Leads / Buddy Program</p><p>
<b>Work Environment</b>: Working on international projects with a globally diverse team / A fast-paced technology environment</p></div></div></div></div></div></div></div></div></div></div>
<br>
<div><p>Job Description</p><p></p><p><br>
We are looking for a detail-oriented, analytical, and customer-focused team member to support our customer onboarding, data management, and reporting processes. In this role, you will:</p><ul><li>
Work on customer onboarding processes by ingesting customer data into our analytic software.</li><li>
Troubleshoot and resolve issues that arise during customer onboarding.</li><li>
Collaborate closely with customers, helping them understand the architectural design and functionality of the software.</li><li>
Manage flight data and maintain reporting dashboards.</li><li>
Handle multiple projects across various data domains.</li><li>
Gather requirements, design, and implement scalable data pipelines to process and analyze large volumes of data.</li><li>
Ensure data quality, integrity, and security throughout the data lifecycle.</li><li>
Manage ETL (Extract, Transform &amp; Load) frameworks and ensure the quality and timeliness of data ingestion and transformation jobs.</li><li>
Collaborate with the data analytics and visualization team to design dashboards, reports, and visualizations for stakeholders.</li><li>
Conduct exploratory, descriptive, and predictive data analyses, and generate visual summaries of data.</li><li>
Identify data quality issues proactively and drive reusability and extensibility of the overall data architecture.</li></ul><p></p><p><i>
Requirements</i></p><ul><li>
Strong ability to communicate complex technical concepts clearly and fluently in English.</li><li>
Solid understanding of IT tools and environments, including Remote Desktop Protocol and the Microsoft Azure Portal.</li><li>
Working knowledge of SFTP server protocols and secure data transfer methods.</li><li>
Experience working with unstructured data and proficiency in handling XML and JSON file formats.</li><li>
Familiarity with scripting languages such as Python or PowerShell is an advantage.</li><li>
Proficiency in Microsoft Excel is considered a plus.</li><li>
Background in aviation or exposure to aviation-related data is highly desirable.</li><li>
A bachelor&rsquo;s degree from collage required; a degree in engineering is a plus.</li></ul></div><p></p>

Zepp Health

<div>
 <p>
  <strong>
   Job Title:
  </strong>
  NLP/ML/AI Engineer - Generative Modeling
 </p>
 <p>
  <strong>
   Location:
  </strong>
  Turkey (Istanbul)
 </p>
 <p>
  <strong>
   Introduction
  </strong>
  : Zepp Health (NYSE: ZEPP) is a global smart wearable and health technology leader that empowers users to live their healthiest lives by optimizing their health, fitness, and wellness journeys through its leading brands such as Amazfit, Zepp Clarity and Zepp Aura. Our Big Data and Cloud team is building world-class applications such as Zepp Coach (an AI-powered feature that offers tailored guidance to help users train more scientifically) and Zepp Aura (an innovative rest and mindfulness solution that provides users with dynamic tools to enjoy deeper sleep, improve their mental well-being and lead a more joyful life).
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position:
  </strong>
  We are seeking a highly skilled and motivated NLP/ML/AI engineer to join our team in developing cutting-edge AIGC applications. The successful candidate will play a key role in developing state-of-the-art AI systems, conducting model fine-tuning, evaluating performance, and implementing data-driven optimizations.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Participate in the design and implementation of state-of-the-art AIGC applications.
  </li>
  <li>
   Conduct fine-tuning for customized models to optimize performance.
  </li>
  <li>
   Evaluate model performance and implement data-driven optimizations to enhance accuracy and efficiency.
  </li>
  <li>
   Collaborate with cross-functional teams to define strategic roadmaps for AI/NLP projects.
  </li>
  <li>
   Stay updated with industry advancements and incorporate innovative techniques into our applications.
  </li>
 </ul>
 <p>
  <strong>
   Required
  </strong>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science or a related field.
  </li>
  <li>
   8+ years of industry experience in building NLP systems and applications.
  </li>
  <li>
   Proficiency in Python and experience with frameworks such as PyTorch/TensorFlow.
  </li>
  <li>
   Strong theoretical understanding of deep learning and NLP fundamentals.
  </li>
  <li>
   Experience with fine tuning and serving deep neural networks.
  </li>
  <li>
   Exceptional problem-solving skills and an analytical mindset.
  </li>
  <li>
   Ability to thrive in a remote work environment while effectively collaborating with the team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are excited to welcome passionate individuals who can contribute to our AI-powered innovations. If you have the required qualifications and a drive to make a difference in the field of AI, we encourage you to apply today!
 </p>
</div>


Generative AI Engineer

Explore 801+ Big data engineer in Istanbul this December. Find roles across top companies and apply now to boost your career.

801 big data engineer jobs IN Istanbul

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Data Engineer

Generative AI Engineer