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Armut Teknoloji AS

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.
F4i3AhWe9n</div>

Data & AI Solutions Specialist

Armut

<div>Armut / Homerun is a leading local services marketplace with over 2 million professionals across over 26,000 services. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 18 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: customer-first thinking, data-driven problem-solving, and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

You Are: 
<ul><li>Holding a Bachelor's / Master's degree from a top school with a study in Engineering, Economics or Business departments.</li><li>Experienced in related fields minimum 4 years.</li><li>Highly skilled in SQL and Python scripting, with a strong command of data manipulation and transformation techniques.</li><li>Proficient with business intelligence tools and data visualization, translating complex analyses into clear narratives.</li><li>Comfortable working with diverse data types&mdash;structured, semi-structured, and unstructured&mdash;and choosing the right approach for each.</li><li>Grounded in statistics, with experience in hypothesis testing, regression models, and understanding of key data distributions.</li><li>Experienced in natural language processing (NLP) and text analytics, with a strong understanding of their applications in business contexts.</li><li>Proficient in developing and applying machine learning models for prediction and automation.</li><li>Familiar with modern AI trends, particularly large language models (LLMs) and their integration into real-world applications (e.g., RAG workflows, LLM-based tools).</li><li>A strategic thinker with a builder&rsquo;s mindset&mdash;passionate about using technology to solve complex category challenges.</li></ul> 

Our Hiring Process<ul><li>
Application: Send us your CV.</li><li>
Interview: Discuss your experience &amp; expectations.</li><li>
Case Study: Showcase your skills.</li><li>
Final Interview: Align on mutual goals and values.</li><li>
Welcome Aboard: Join the Homerun team!</li></ul> 
Diversity and Inclusion at Homerun 
We believe in a workplace where everyone feels valued and empowered. Our diverse team, hailing from various backgrounds, is the cornerstone of our success. We're committed to creating an inclusive environment for all employees, celebrating different perspectives and fostering a culture of respect.</div>

Eczacıbaşı Holding

<div>
 
 
 Eczac&inodot;ba&scedil;&inodot; Holding
 
 
 
 
 
 
 Established by Dr. Nejat F. Eczac&inodot;ba&scedil;&inodot; in 1942, Eczac&inodot;ba&scedil;&inodot; Group is one of Turkey's leading industrial conglomerates, operating primarily in construction products, consumer products, healthcare, and natural resources sectors for both national and international markets. It has a total of 50 entities, including one foreign partnership, more than 13,500 employees also engaging in real estate development, natural resources, and information technology.
 
 
 
 
 
 
 What Do We Expect from Our New Team Member?
 
 
 <ul>
 <li>
 If you can design and implement Generative AI solutions that enhance business value&mdash;developing use cases, integrating LLMs into analytical workflows, and building intelligent systems that support decision-making and innovation,
 </li>
 <li>
 If you can lead and contribute to end-to-end Gen AI and advanced analytics projects, transforming data into strategic insights and scalable solutions,
 </li>
 <li>
 If you can design, fine-tune, and deploy LLMs or RAG pipelines to meet specific business needs, ensuring high performance and relevance,
 </li>
 <li>
 If you are passionate about researching cutting-edge Gen AI trends, experimenting with new architectures, and turning prototypes into production-ready tools,
 </li>
 <li>
 If you are capable of monitoring, evaluating, and optimizing Gen AI model performance under evolving conditions and use cases,
 </li>
 <li>
 If you are eager to shape and scale our Gen AI ecosystem, collaborating with other teams and advocating for responsible AI practices.
 </li>
 </ul>
 
 
 
 
 
 You are exactly the person we are looking for!
 
 
 
 
 
 
 
 Your team is waiting for you!
 
 
 
 
 
 
 
 What kind of teammate are we looking for?
 
 
 <ul>
 <li>
 A degree in Engineering, Computer Science, Mathematics, Statistics, or a related field. A Master's or PhD in AI, NLP, or Data Science is a strong plus.
 </li>
 <li>
 Minimum of 5 years of experience in data science, with hands-on experience in Gen AI, NLP, or LLM development.
 </li>
 <li>
 Strong knowledge and experience in training, fine-tuning, and evaluating Large Language Models (LLMs).
 </li>
 <li>
 Hands-on experience with RAG (Retrieval-Augmented Generation) architectures and prompt engineering techniques.
 </li>
 <li>
 Experience developing endpoints, APIs, or lightweight web apps (e.g., Dash, Flask, Streamlit, React) to deliver Gen AI solutions.
 </li>
 <li>
 Ability to optimize Gen AI models for performance, cost-efficiency, and business relevance.
 </li>
 <li>
 Proficiency in Python (Hugging Face Transformers, LangChain, Pandas, Scikit-learn, TensorFlow/PyTorch) and SQL.
 </li>
 <li>
 Experience with cloud platforms, especially Microsoft Azure AI Foundry or AWS, and MLOps tools are a plus.
 </li>
 <li>
 If you enjoy analytical thinking and research, are curious about new technologies, and have a strong desire to learn,
 </li>
 <li>
 If you are prone to teamwork and interpersonal abilities.
 </li>
 <li>
 Proficiency in English is preferred.
 </li>
 </ul>
 
 
 
 
 
 &laquo;You should live your career, development, life and future at Eczac&inodot;ba&scedil;&inodot;!&raquo;
 
 
 
 
 
 
 
 What is here for you?
 
 
 
 You can continuously improve your personal, professional, and technical competencies by participating in our education programs that support you and your career,
 
 
 Opportunities for global opportunities and rotation among more than 120 international markets among more than 40 organizations can always knock on your door,
 
 
 At Eczac&inodot;ba&scedil;&inodot;, leave entitlements are calculated based on the employee's total work experience and come with your employment,
 
 
 We always applaud successes with different reward methods,
 
 
 With work models differentiated according to the nature of the job, you can take advantage of location-independent or hybrid work opportunities and determine your own working hours with flexible working hours,
 
 
 Being a mother or father at Eczac&inodot;ba&scedil;&inodot; is a privilege. Monthly nursery aid is provided to working mothers at Eczac&inodot;ba&scedil;&inodot;, and working fathers are entitled to 21 days of paternity leave. We are determined to ensure equal opportunities in employment,
 
 
 We value diversity and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, or seniority status
 
 #WeDoNotDifferentiateBetweenJobsForWomenAndMen.
 
 
 
 
</div>

Senior Data Scientist (Generative AI)

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

ING Türkiye

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 If you think you are the ideal candidate for our &ldquo;
 
 Senior Data Scientist- CRM - Product &amp; Channel Analytics
 
 &rdquo; in our
 
 Chief Analytics Officer Group
 
 in
 
 ING Technology.
 
 
 
 If you are willing to work in a global company with flexible hours in casual dress-code every day, and in flexible places two days a week in our Maslak Headquarters, this is a great opportunity to step up.
 
 
 
 
 
 
 As &ldquo;Senior Data Scientist- CRM - Product &amp; Channel Analytics&rdquo;
 
 , You will be responsible for supporting business units with Data Analysis &amp; Data Science for data driven decision making, building analytic models to respond to business needs for customer based marketing &amp; pricing analytic models.
 
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 5+ Year Experience in Data Analysis &amp; Data Science &amp; AI
 </li>
 <li>
 3+ year Experience in using machine learning algorithms to develop analytical models (Experience in marketing and sales models (propensity, churn, segmentation) , pricing models and GenAI projects are plus)
 </li>
 <li>
 Expert level hands-on experience in the end to end execution of Data Science &amp; AI projects (including project initiation, data preparation, model development, validation, implementation, continuous monitoring , and supporting effective adoption and usage of AI Models)
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Knowledge of Python, SQL or SAS
 </li>
 <li>
 Good command in Office Programs
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, teamwork, analytical thinking, highly motivated, flexible, adaptable, resilient &amp; result oriented personality,
 </li>
 <li>
 Highly motivated to improve skills on Data Analytics &amp; Data Science
 </li>
 <li>
 Strong command of programming and modelling techniques, problem solving, communication and multi-tasking skills,
 </li>
 <li>
 Good command of written and spoken Turkish &amp; English.
 </li>
 </ul>
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transfer capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop complex mathematical models; analyze, process, evaluate large data sets
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
</div>

Senior Data Scientist- CRM - Product & Channel Analytics

Invisible Agency

Are you a Kotlin expert eager to shape the future of AI? Large-scale language models are evolving from chatbots into powerful developer assistants capable of reasoning about complex software systems. With high-quality engineering data, tomorrow's AI can support developers in solving real-world problems faster and more accurately. That training data begins with you—your coding expertise will help power the next generation of AI.
 
We're looking for Kotlin specialists who can take real-world engineering scenarios—such as bug reports or feature requests in a Git repository—and produce clean, efficient, and idiomatic solutions using the Kotlin programming language. You'll create high-quality code patches that reflect modern Android development practices and ensure technical correctness, maintainability, and clarity.
 
You should have hands-on experience with modern Android and Kotlin development, including Jetpack Compose, Kotlin Coroutines, and Jetpack libraries such as Room, WorkManager, Datastore, ViewModel, and Hilt. Familiarity with build.gradle configuration, dependency management, and networking libraries such as OkHttp, Retrofit, and Coil is also important. Experience with Android multimedia tools (CameraX, ExoPlayer, Media3) is a plus.
 
On a typical day, you'll evaluate AI-generated code, correct errors, implement optimized Kotlin solutions, and document best practices that demonstrate modern Android design patterns and coding conventions.
 
A strong background in Android software development is required, with demonstrable experience building and maintaining production-level Kotlin applications. Clear, structured communication and the ability to explain technical decisions are essential.
 
We offer a pay range of $35+ per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor, you'll supply a secure computer and high-speed internet; company-sponsored benefits such as health insurance and PTO do not apply.
 
Job title: Master - Kotlin Coding Specialist – AI Trainer
 Employment type: Contract
 Workplace type: Remote
 Seniority level: Mid - Senior Level

Kotlin Coding Specialist - AI Trainer

<div>
 
 At ING we encourage you to `
 
 Do Your Thing
 
 ` to do more of what you love. We&rsquo;re on a journey that&rsquo;s centered around our customers, powered by technology and digital environment, driven by smart, determined people. Our customers feel our people are empowering them to stay a step ahead in life and in business. We&rsquo;re proud of that!
 
 
 
 
 
 We want you to discover and develop yourself while developing others, be creative, be successful, excel at your career life, work agile so new ideas come to life faster! Interested?
 
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 At ING T&uuml;rkiye, we leverage the power of data science and advanced analytics to create impactful solutions across various domains. Our teams are at the forefront of driving AI transformation in the bank by:
 
 
 
 
 <ul>
 <li>
 Building analytical models to optimize business processes, such as operations, credit risk management and customer engagement
 </li>
 <li>
 Partnering with different departments to identify and execute data-driven projects
 </li>
 <li>
 Developing and deploying advanced analytical solutions for standardized model development processes
 </li>
 <li>
 Exploring cutting-edge technologies such as computer vision or generative AI to innovate in customer experience and internal operations
 </li>
 <li>
 Collaborating with data engineering teams to create robust data pipelines and scalable infrastructure
 </li>
 </ul>
 
 
 
 
 
 If you think you have most of the following qualifications;
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s with analytical background, preferably in a quantitative discipline &ndash; Mathematics, Engineering, Economics, MIS, Statistics etc. (Master&rsquo;s degree will be a plus)
 </li>
 <li>
 4+ Years Experience in Data Science / Data Analytics
 </li>
 <li>
 Expert level experience in Data Analysis
 </li>
 <li>
 Solid experience with core machine learning algorithms with a strong focus on evaluating model performance
 </li>
 <li>
 Deep understanding of LLMs for document processing, NER and structured document analysis
 </li>
 <li>
 Hands-on experience with computer vision tools including PyTesseract, PaddleOCR, and vision-language models (VLMs)
 </li>
 <li>
 Excellent team member with an ability to clearly communicate at all levels of an organization in a collaborative and non-hierarchical environment
 </li>
 <li>
 Excellent organizational and analytical skills; detail-oriented and forward thinking,
 </li>
 <li>
 Good at communication and coordination, stakeholder management, team-work, analytical thinking, highly motivated and result oriented personality
 </li>
 <li>
 Desire to use modern technologies as a disruptive influence
 </li>
 <li>
 Excellent written/verbal communication and reporting skills in Turkish and English
 </li>
 <li>
 Open-minded for new technologies
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If you think you may take charge of the following responsibilities;
 
 
 
 
 
 <ul>
 <li>
 Manage the entire analytical process &ndash; from outlining the type of solution through implementation, interpretation of results and transferring capabilities to business units
 </li>
 <li>
 Use data assets to gain insights into current business processes and propose enhancements for core decision making processes
 </li>
 <li>
 Develop advanced analytical models, incorporating Machine Learning &amp; LLM solutions; analyze, process and evaluate to create impact
 </li>
 <li>
 Build an in-depth understanding of the business domain and available data assets
 </li>
 <li>
 Communicate effectively with analytics/data experts as well as business managers to assess opportunities and develop data driven solutions
 </li>
 <li>
 Work on projects and exchange experiences, and continuously build methodological knowledge and skills
 </li>
 <li>
 Translate complex datasets into key strategy insight
 </li>
 </ul>
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
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Senior Data Scientist – AI Development

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