ai factory machine learning engineer

Garanti BBVA Teknoloji

<div>
 
 
 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.
 
 
 
 
 
 
 
 Who We Are?
 
 
 
 
 We Create World Class Financial IT Services
 
 
 
 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.
 
 
 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.
 
 #teknolojidekitutkuyuke&scedil;fet
 
 
 
 
 
 
 
 Many reasons which will make you say I love working at Garanti BBVA Technology
 
 
 
 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.
 
 
 The place we call &ldquo;our office&rdquo; has no boundaries. We stand for a positive team culture, shared and lived together anywhere.
 
 
 
 
 
 
 So, what awaits you Garanti BBVA Technology?
 
 
 <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>
 
 
 
 
 
 Your Impact
 
 
 
 
 The AI Engineering team in AI Factory Unit
 
 works passionately to shape the technologies of the future.
 
 
 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.
 
 
 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.
 
 
 In that team;
 
 <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>
 
 
 
 
 
 How do we describe the perfect match?
 
 
 <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>
 
 
 📢 If you would like to get to know more about Garanti BBVA Technology, please follow us on Instagram, LinkedIn, Medium and our Company Website;
 
 
 
 
 https://www.garantibbvateknoloji.com.tr/
 
 
 
 
 https://www.instagram.com/garantibbvateknoloji/
 
 
 
 
 https://www.linkedin.com/company/garanti-teknoloji/
 
 
 
 
 https://medium.com/@GarantiBBVATeknoloji
 
 
 
 
 
 
 &Ccedil;e&scedil;itlilik yakla&scedil;&inodot;m&inodot;m&inodot;z
 
 
 
 &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.
 
 
 
 
 &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.
 
 
 
 
</div>

AI Factory / Machine Learning Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "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."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </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
 
 Pytorch
 
 , 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>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <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
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

Yıldız Tech

<div>
 
 The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 80 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 45 factories, 20 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 80 years with our products, services and sustainable social responsibility understanding.
 
 
 
 
 
 
 
 
 Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 
 
 
 
 
 
 
 
 
 Job Description
 
 
 
 Y&inodot;ld&inodot;z Tech's Digital Transformation organization is seeking a
 
 Data Scientist / Senior Data Scientist
 
 to shape the vision, define the strategy, and drive the execution of our data-driven initiatives. In this role, you will understand user needs and business objectives, facilitate the development of data models and analytics solutions, and support data-driven decision-making processes.
 
 
 
 
 
 
 
 
 
 
 
 
 What Awaits You, What Will Be Your Responsibilities?
 
 
 
 
 
 <ul>
 <li>
 
 Researching, designing, implementing, and evaluating
 
 machine learning approaches and models.
 </li>
 <li>
 Assisting in analyzing
 
 large datasets
 
 using statistical techniques and machine learning algorithms.
 </li>
 <li>
 Supporting the development, implementation, and evaluation of
 
 predictive models
 
 and
 
 data-driven solutions
 
 to address business challenges.
 </li>
 <li>
 
 Preprocessing and cleaning raw data
 
 to ensure its quality, integrity, and usability for analysis.
 </li>
 <li>
 Applying
 
 data wrangling techniques
 
 to handle missing values, outliers, and inconsistencies in the data.
 </li>
 <li>
 Creating
 
 visualizations, charts, and dashboards
 
 to communicate insights and findings from data analysis effectively.
 </li>
 <li>
 Collaborating with
 
 senior data scientists, analysts
 
 , and
 
 business stakeholders
 
 to understand project requirements and objectives.
 </li>
 <li>
 Contributing ideas and insights to
 
 team discussions
 
 and brainstorming sessions.
 </li>
 <li>
 Staying updated on the latest
 
 trends, tools
 
 , and techniques in
 
 data science
 
 and
 
 machine learning
 
 .
 </li>
 <li>
 Documenting
 
 analysis methods
 
 , findings, and results in clear and concise reports.
 </li>
 <li>
 Preparing
 
 presentations
 
 and
 
 documentation
 
 to communicate project outcomes to stakeholders and team members.
 </li>
 <li>
 
 Deploying machine learning models
 
 into production environments using containerization, orchestration, and model serving frameworks.
 </li>
 <li>
 Exploring, fine-tuning, and applying
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI solutions
 
 to address business needs and automation opportunities.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What will be the qualifications we expect from you?
 
 
 
 
 
 <ul>
 <li>
 BS Degree in Statistics, Computer Science/Engineering, Industrial Engineering (or other related engineering fields).
 </li>
 <li>
 Good command of SQL.
 </li>
 <li>
 Strong programming and scripting skills in
 
 Python
 
 (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
 </li>
 <li>
 Minimum
 
 3 / 5 years of experience
 
 in related fields.
 </li>
 <li>
 Hands-on project experience in some of the following areas:
 </li>
 <li>
 
 Predictive analytics
 
 : cross-sell/up-sell modelling, churn prediction, demand forecasting, time series analysis.
 </li>
 <li>
 
 Customer analytics
 
 : segmentation, recommendation systems.
 </li>
 <li>
 
 AI and machine learning applications
 
 : image processing, natural language processing (NLP).
 </li>
 <li>
 Excellent command of English.
 </li>
 <li>
 Ability to manage a variety of cross-organizational projects (scope, stakeholders, desired outcomes), working closely with a broad range of internal and external teams.
 </li>
 <li>
 Effective communication skills.
 </li>
 <li>
 Analytical perspective.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 The following qualifications are a plus:
 
 
 
 
 
 <ul>
 <li>
 Understanding and hands-on experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 , including
 
 fine-tuning
 
 ,
 
 embedding models
 
 ,
 
 prompt engineering
 
 , or
 
 agent orchestration
 
 (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
 </li>
 <li>
 Hands-on experience in deploying machine learning models using tools such as
 
 Docker
 
 ,
 
 Kubernetes
 
 , and
 
 CI/CD pipelines
 
 (e.g., Jenkins, GitLab CI).
 </li>
 <li>
 Familiarity with
 
 model serving frameworks
 
 such as
 
 MLflow
 
 ,
 
 FastAPI
 
 , or
 
 TorchServe
 
 .
 </li>
 <li>
 Practical experience with cloud platforms such as
 
 AWS
 
 and/or
 
 Azure
 
 , especially in
 
 infrastructure management
 
 ,
 
 data storage
 
 ,
 
 networking
 
 , and
 
 resource provisioning
 
 (e.g., S3, Blob Storage, EC2, VMs, IAM).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 Which skills will highlight you?
 
 
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking skills.
 </li>
 <li>
 Effective communication and collaboration abilities.
 </li>
 <li>
 Ability to manage and prioritize multiple projects and tasks simultaneously.
 </li>
 <li>
 Hands-on experience in
 
 deploying machine learning models
 
 into production environments.
 </li>
 <li>
 Curiosity and practical experience with
 
 Large Language Models (LLMs)
 
 and
 
 agentic AI frameworks
 
 .
 </li>
 <li>
 Team spirit and leadership in collaborative environments.
 </li>
 <li>
 Proficiency in MS Office applications.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ; https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 
</div>

Data Scientist / Senior Data Scientist

SnA Consulting

<div>
 
 
 About Us
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 This position requires a combination of
 
 technical skills and research, communication, and presentation skills.
 
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university
 </li>
 <li>
 Up to 3 years of relevant experience in data engineering, analytics, or AI-related projects
 </li>
 <li>
 Strong knowledge of
 
 Python
 
 for data engineering, AI/ML development, and
 
 SQL
 
 </li>
 <li>
 Familiarity with
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, feature engineering, model evaluation)
 </li>
 <li>
 Basic understanding of
 
 AI/ML pipelines
 
 , including data preparation, training, inference, and monitoring
 </li>
 <li>
 Assertive, fast learner, highly organized, and curious about emerging
 
 AI and data technologies
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Knowledge of modern, cloud-based
 
 data and AI pipeline best practices
 
 </li>
 <li>
 Experience with
 
 large-scale data warehousing
 
 , data lake/lakehouse architectures, and data modeling
 </li>
 <li>
 Exposure to
 
 ML frameworks and libraries
 
 (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 such as experiment tracking, model versioning, and CI/CD for ML
 </li>
 <li>
 Experience with orchestration frameworks such as
 
 Apache Airflow
 
 or
 
 Argo Workflow
 
 </li>
 <li>
 Experience with one or more cloud environments (
 
 AWS / Azure / GCP
 
 ), including managed AI services
 </li>
 <li>
 Experience with
 
 LLM or Generative AI concepts
 
 (prompt engineering, embeddings, vector databases, RAG architectures)
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work closely with clients and internal consultants on
 
 data, analytics, and AI projects
 
 </li>
 <li>
 Design and build
 
 scalable data and AI pipelines
 
 across Cloud and On-Prem environments
 </li>
 <li>
 Support the development and deployment of
 
 AI/ML models
 
 by ensuring high-quality, well-governed data inputs
 </li>
 <li>
 Assist in the implementation of
 
 MLOps practices
 
 , including model deployment, monitoring, and performance tracking
 </li>
 <li>
 Research emerging
 
 AI, Generative AI, and data engineering technologies
 
 to continuously improve existing platforms and solutions
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Data & AI Engineering Consultant

Siemens

<div>
 We are looking for a
 
 Part-time Working Student (Data Scientist)
 
 to join our Retrofit and Digitalization Project Team. The position will be based in Kartal and requires flexibility to travel to various locations across Turkey when needed. The successful candidate will support the execution and development of digitalization projects and will contribute to the enhancement of software solutions related to IoT, AI, and machine learning technologies.
 
 
 
 What are my responsibilities?
 
 
 
 <ul>
 <li>
 Understand the customer needs and take necessary actions to create appropriate solutions
 </li>
 <li>
 Carry out small or medium sized digitalization projects and do the commissioning of projects on site
 </li>
 <li>
 Supply creative feedback to increase the quality-of-service operations and processes
 </li>
 <li>
 Providing know-how and sharing with other colleagues
 </li>
 <li>
 Supporting functions of the different automation and AI projects
 </li>
 <li>
 Planning, reporting and improvement activities
 </li>
 <li>
 Planning, organization and execution of start-up of operations
 </li>
 <li>
 Supporting operational project teams
 </li>
 <li>
 Software design, implementation, debugging, unit tests, module tests, test automation, and involving in release tasks for industrial automation projects
 
 
 </li>
 </ul>
 
 What do I need to qualify for this job?
 
 
 
 <ul>
 <li>
 3rd-year undergraduate or master&rsquo;s student in Computer Engineering, Mathematics, Electrical &amp; Electronics Engineering, Mechatronics, Automation &amp; Control Engineering, or related field
 </li>
 <li>
 Good command of English, both written and spoken
 </li>
 <li>
 Availability to work at least 3 days per week
 </li>
 <li>
 Strong interest in Industrial AI, IoT, and digitalization technologies, with a willingness to learn and grow in this area
 </li>
 <li>
 Strong analytical thinking skills with a problem-solving mindset
 </li>
 <li>
 Ability to communicate analytical and technical outputs in a clear way and translate them into business needs
 </li>
 <li>
 Disciplined approach to documentation and reporting
 </li>
 <li>
 Basic experience in data analysis and modeling with Python (NumPy, Pandas, Scikit-learn)
 </li>
 <li>
 Fundamental knowledge of statistics and probability (e.g., distributions, correlation, regression, hypothesis testing)
 </li>
 <li>
 Basic experience in data querying, preparation, and data cleaning
 </li>
 <li>
 Hands-on exposure to at least one machine learning use case (regression, classification, or anomaly detection), including feature engineering and model evaluation
 </li>
 <li>
 Interest in Anomaly Detection, Forecasting, or Predictive Maintenance use cases
 </li>
 <li>
 Openness to learning and applying end-to-end ML workflows (train &rarr; validate &rarr; iterate &rarr; improve)
 
 
 </li>
 </ul>
 
 Additional Qualifications:
 
 
 
 <ul>
 <li>
 Beginner-level exposure to TensorFlow or PyTorch
 </li>
 <li>
 Interest in industrial, operational, sensor, or production data analytics
 
 
 </li>
 </ul>
 At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
 
 
 As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
 
 
 Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
 
 
 We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
 
 
 Please find more information from our web site:
 
 
 https://new.siemens.com/tr/tr.html
 
 
</div>

Part Time Working Student (Data Scientist)

ING Hubs Türkiye

<div>
 
 
 About ING Hubs
 
 
 
 Following ING&rsquo;s strategic ambition to deliver a superior experience to its customers worldwide, the hubs network contributes to fostering efficiency and digitalization across ING. Providing concentrated expertise along with scalable and sustainable solutions, the hubs focus on straight-through processing, delivering automated services like software development, data management and retail operations.
 
 
 
 
 
 
 
 
 𝑃𝑟𝑒𝑠𝑒𝑛𝑡 𝑖𝑛 𝑃𝑜𝑙𝑎𝑛𝑑, 𝑅𝑜𝑚𝑎𝑛𝑖𝑎, 𝑆𝑙𝑜𝑣𝑎𝑘𝑖𝑎, 𝑡&planckh;𝑒 𝑃&planckh;𝑖𝑙𝑖𝑝𝑝𝑖𝑛𝑒𝑠 𝑎𝑛𝑑 𝑇𝑢𝑟𝑘𝑖𝑦𝑒, 𝐼𝑁𝐺 𝐻𝑢𝑏𝑠 𝑒𝑚𝑝𝑙𝑜𝑦 𝑚𝑜𝑟𝑒 𝑡&planckh;𝑎𝑛 11,000 𝑝𝑟𝑜𝑓𝑒𝑠𝑠𝑖𝑜𝑛𝑎𝑙𝑠 𝑖𝑛 𝑑𝑜𝑚𝑎𝑖𝑛𝑠 𝑠𝑢𝑐&planckh; 𝑎𝑠 𝑠𝑜𝑓𝑡𝑤𝑎𝑟𝑒 𝑑𝑒𝑣𝑒𝑙𝑜𝑝𝑚𝑒𝑛𝑡, 𝑑𝑎𝑡𝑎 𝑚𝑎𝑛𝑎𝑔𝑒𝑚𝑒𝑛𝑡, 𝑜𝑝𝑒𝑟𝑎𝑡𝑖𝑜𝑛𝑠 𝑜𝑟 𝑛𝑜𝑛-𝑓𝑖𝑛𝑎𝑛𝑐𝑖𝑎𝑙 𝑟𝑖𝑠𝑘
 
 
 
 
 
 .
 
 
 ING Hubs Turkiye core capabilities, 𝐑𝐞𝐭𝐚𝐢𝐥 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐓𝐞𝐜𝐡, have us looking for data experts, developers and other professionals to get onboard in our Istanbul office located in Technopark, Vadistanbul
 
 
 
 
 
 
 About ING
 
 
 
 Think Forward! Our purpose is to empower people to stay a step ahead in life and in business. We are an industry recognized strong brand with positive recognition from customers in many countries, a strong financial position, Omni-channel distribution strategy and international network. If you want to work at a place where we believe that you can make a difference by using the latest Analytics techniques to generate data-driven approaches and conversational products and solve real business challenges, please read on.
 
 
 
 
 
 
 ING Analytics
 
 
 
 ING Analytics is a new unit responsible for realizing this vision for ING, differentiating ING as a leader in data-driven organization, within the banking sector and beyond. The team consists of a number of Global Analytics Centre of Excellences around the bank&rsquo;s key capabilities (such as Pricing, Risk Management, Financial Crime, Customer Intelligence and People Analytics.) as well as strong coordination areas around data management, technology, customer journey, UX, as well as external partnerships.
 
 
 
 
 
 
 COO Analytics- Customer Due Diligence
 
 
 
 You will be part of the COO Analytics Tribe, which delivers generative AI , AI and advanced analytics capabilities to all ING countries.
 
 
 Specifically, you will help creating innovative-scalable-data driven solutions in the space of Customer Due Diligence. You proactively work with teams to implement these solutions across the organization. You will work collaboratively with an extended group of stakeholders, including global and local KYC (Know Your Customer).
 
 
 Your mission will be to ensure the improvement of our products with a team and supporting all ING countries in reaching their targets by providing smart advanced analytics solutions, to strengthen ING leadership in digitalization &amp; support our 40 million customers.
 
 
 We work in a fun and creative environment, and we&rsquo;re dedicated to bringing out the best in both our relations and our projects, ranging from enhancing our virtual assistants in production via innovative NLP techniques sush as Generative AI and Large Language Models, to building speech analytics use cases across all the countries ING operates in.
 
 
 
 
 
 
 The opportunity
 
 
 
 As a NLP/LLM Data Scientist, you will be joining the global ING Analytics organization and will partner with Machine Learning (ML) Engineers and Customer Journey Experts to design and implement leading-edge conversational AI products, such as agent assists and Retrieval Augmented Generation systems using LLMs. As an NLP/LLM data scientist, you understand business needs, perform data preprocessing and analysis, and build machine learning models and/or design and implement NLP models using managed LLM services for speech and text data to improve our platform and ING&rsquo;s KYC agents&rsquo; efficiencies globally.
 
 
 
 
 
 
 A day in the life of an NLP Data Scientist
 
 
 
 
 
 
 After your morning coffee, you stand up with data engineers to understand the best scalable way to get models to run in production, leading the way in how to approach a modeling problem and to turn data into business value. You talk to the business to convince them that your solution has value and you incorporate their feedback into your modeling pipeline. After a lunch break with colleagues, you think of a new technology you&rsquo;d like to try out. You start investigating and write it up for the next experimentation day or demo. At the end of the afternoon, you finalize some comments other colleagues from the ING Analytics Community had on your latest blog post or start building your presentation for the next conference you will be presenting at. As a Data Scientist working for ING Global Analytics, you&rsquo;ll never get bored with many experienced and skilled colleagues around you, the freedom to innovate, and to not only use open source and cloud managed service tooling, but also contribute and teach about them.
 
 
 
 
 
 
 You Will Be Responsible For
 
 
 <ul>
 <li>
 Design and implementation of solutions using Generative AI and LLM technologies
 </li>
 <li>
 Developing production level NLP models
 </li>
 <li>
 Working with ML Engineers to productionize your developed NLP models
 </li>
 <li>
 Using the cutting-edge NLP and (Gen)AI frameworks and technologies such as Large Language Models and Generative AI
 </li>
 <li>
 Following best practices in developing ML code and ML software tests
 </li>
 <li>
 Making design and technical decisions for (Gen)AI projects at ING Analytics. Supporting local teams in several countries and their projects. Participating in design, analysis, and interpretation of business hypotheses and exploring datasets. Recommending ideas to the business based on data.
 </li>
 <li>
 Assisting your model users to understand the data science principles and when needed explaining the model behavior and possible corrective actions.
 </li>
 <li>
 Contributing to strengthening the data analytics capability within the team.
 </li>
 </ul>
 
 
 
 
 
 About you
 
 
 <ul>
 <li>
 Always thinking a step ahead and never satisfied with the status quo
 </li>
 <li>
 Enthusiasm for helping others to be successful and a talent for taking it on and making it happen
 </li>
 <li>
 You have a learning attitude. Not only to master new technologies and programming languages, but also on the interpersonal level. You are proven to be able to ask and give feedback
 </li>
 <li>
 You embrace challenges in a fast-changing and complex environment
 </li>
 <li>
 You are a naturally collaborative person who listens and invests in others to achieve common goals
 </li>
 <li>
 You have a Pro-active and can-do attitude (self-steering)
 </li>
 <li>
 You take pride in your code and take responsibility for keeping it running in production
 </li>
 <li>
 You combine both thinking of the future and a hands-on, right now attitude
 </li>
 <li>
 You enjoy working in a team, with highly skilled people, having a creative atmosphere where trying out new things is encouraged.
 </li>
 </ul>
 
 
 
 
 
 How to succeed
 
 
 <ul>
 <li>
 Degree in Computer Science, and preferably in Natural Language Processing, Information Retrieval, or Machine Learning.
 </li>
 <li>
 A minimum of 2 years experience in building Natural Language Processing or Information Retrieval pipelines and models
 </li>
 <li>
 Experience with operationalisation of LLMs or Generative AI applications
 </li>
 <li>
 You have an in-depth understanding of algorithms like Transformers, Recurrent Neural Networks, and Convolutional Neural Network
 </li>
 <li>
 Strong programming skills in Python, experience in delivering production grade code, and reasonable SQL understanding
 </li>
 <li>
 Can build an &ldquo;end-to-end ML software product&rdquo; which has NLP/IR component
 </li>
 <li>
 Experience with Deep Learning frameworks like Tensorflow and PyTorch
 </li>
 <li>
 You have excellent oral and written communication skills at the technical and business level
 </li>
 <li>
 Fluent in written and spoken English.
 </li>
 <li>
 Familiarity with Agile Scrum way of working
 </li>
 </ul>
 
 
 
 
 
 Nice To Have
 
 
 <ul>
 <li>
 Experience with Google Cloud Platform
 </li>
 <li>
 Experience with applying NLP on banking and/or KYC domains
 </li>
 <li>
 Knowledge of DevOps practices including Git and CI/CD
 </li>
 <li>
 Experience with CI/CD for Machine Learning pipeline (CD4ML).
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer at ING Hubs Turkiye
 
 
 
 
 
 
 At ING Hubs Turkiye, we believe that your work should be fulfilling in every way. We pay attention to even the smallest details to ensure that your experience is rewarding. Here&rsquo;s what you can expect when you join our organization:
 
 
 
 
 
 
 Be Yourself, Be an ING'er
 
 
 
 
 
 <ul>
 <li>
 
 Dynamic Environment:
 
 Work in an informal, vibrant atmosphere with innovative colleagues supporting your endeavors.
 </li>
 <li>
 
 Innovation Culture:
 
 Share your innovative ideas while exploring PACE methodology with us.
 </li>
 <li>
 
 Global Exposure:
 
 Participate in global projects and expand your career opportunities.
 </li>
 <li>
 
 Communication &amp; Celebrations:
 
 Enjoy various communication activities and celebrations that promote a friendly work environment.
 </li>
 <li>
 
 Health Care:
 
 Your health matters; we offer a comprehensive health insurance package for you and your loved ones, including spouse and children.
 </li>
 <li>
 
 Private Pension Plan:
 
 Secure your future dreams with our private pension plan.
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
</div>

Senior NLP Data Scientist

<div><div><div><div><div><div>Job ID
</div><div>490024
</div></div><div><div>Posted since
</div><div>26-Dec-2025
</div></div><div><div>Organization
</div><div>Digital Industries
</div></div><div><div>Field of work
</div><div>Internal Services
</div></div><div><div>Company
</div><div>Siemens Sanayi ve Ticaret Anonim Sirketi
</div></div><div><div>Experience level
</div><div>Student (Not Yet Graduated)
</div></div><div><div>Job type
</div><div>Part-time
</div></div><div><div>Work mode
</div><div>Hybrid (Remote/Office)
</div></div><div><div>Employment type
</div><div>Fixed Term
</div></div><div><div>Location(s)
</div><div><ul><li>Istanbul - Istanbul - Tuerkiye
</li></ul></div></div></div></div></div><div><div><div><div><div>We are looking for a Part-time Working Student (Data Scientist) to join our Retrofit and Digitalization Project Team. The position will be based in Kartal and requires flexibility to travel to various locations across Turkey when needed. The successful candidate will support the execution and development of digitalization projects and will contribute to the enhancement of software solutions related to IoT, AI, and machine learning technologies. 
What are my responsibilities?<ul>
<li>Understand the customer needs and take necessary actions to create appropriate solutions</li>
<li>Carry out small or medium sized digitalization projects and do the commissioning of projects on site</li>
<li>Supply creative feedback to increase the quality-of-service operations and processes</li>
<li>Providing know-how and sharing with other colleagues</li>
<li>Supporting functions of the different automation and AI projects</li>
<li>Planning, reporting and improvement activities</li>
<li>Planning, organization and execution of start-up of operations</li>
<li>Supporting operational project teams</li>
<li>Software design, implementation, debugging, unit tests, module tests, test automation, and involving in release tasks for industrial automation projects</li>
</ul>What do I need to qualify for this job?<ul><li>
3rd-year undergraduate or master&rsquo;s student in Computer Engineering, Mathematics, Electrical &amp; Electronics Engineering, Mechatronics, Automation &amp; Control Engineering, or related field</li><li>
Good command of English, both written and spoken</li><li>
Availability to work at least 3 days per week
</li><li>Strong interest in Industrial AI, IoT, and digitalization technologies, with a willingness to learn and grow in this area</li><li>
Strong analytical thinking skills with a problem-solving mindset</li><li>
Ability to communicate analytical and technical outputs in a clear way and translate them into business needs</li><li>
Disciplined approach to documentation and reporting</li><li>
Basic experience in data analysis and modeling with Python (NumPy, Pandas, Scikit-learn)</li><li>
Fundamental knowledge of statistics and probability (e.g., distributions, correlation, regression, hypothesis testing)</li><li>
Basic experience in data querying, preparation, and data cleaning</li><li>
Hands-on exposure to at least one machine learning use case (regression, classification, or anomaly detection), including feature engineering and model evaluation</li><li>
Interest in Anomaly Detection, Forecasting, or Predictive Maintenance use cases</li>
Openness to learning and applying end-to-end ML workflows (train validate iterate<li> improve)</li></ul>
Additional Qualifications:<ul><li>
Beginner-level exposure to TensorFlow or PyTorch</li><li>
Interest in industrial, operational, sensor, or production data analytics</li></ul>
At Siemens we are always challenging ourselves to build a better future. We need the most innovative and diverse Digital Minds to develop tomorrow &lsquo;s reality.
As Siemens we believe physical barriers are not related to potential. Only the potential matters to us. Therefore, we look forward to receiving applications from candidates with physical barriers and chronic illnesses. We support healthy relationships between candidates with barriers and their colleagues because we believe we can create differences together.
Siemens is dedicated to quality, equality, and valuating diversity and we welcome applications that reflect the diversity of the communities within which we work.
We are looking forward to receiving your online application. Please ensure you complete all areas of the application form to the best of your ability as we will use the data to review your suitability for the role.
Please find more information from our web site:
https://new.siemens.com/tr/tr.html 
#LI-HYBRID</div></div></div></div></div></div>

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