software engineer Jobs in Istanbul Turkey

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data & ai solutions specialist

data engineer

generative ai engineer

Softtech

<div>
 
 We are looking for a
 
 &ldquo;Generative AI Engineer
 
 &rdquo; who will be able to work with enthusiasm to implement solutions in the field of development to join our
 
 Data and Artificial Intelligence Applications team.
 
 
 
 
 
 
 We believe that highly competitive solutions can only be developed by motivated and enthusiastic teams. That&rsquo;s why our team members have been selected among the top engineers and specialists in the market.
 
 
 We are experts in developing solutions for financial organizations. If you want to be part of this dynamic team, come &amp; join us and share our goal that is to take the technology to the next level with creative, fast, efficient, and secure solutions.
 
 
 
 
 
 
 Here are the details of our job posting:
 
 
 
 
 
 
 
 What makes you a good fit:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science (or equivalent experience)
 </li>
 <li>
 At least 5+ years of software development experience
 </li>
 <li>
 Strong coding skills with Python
 </li>
 <li>
 Excellent knowledge of Django, Flask, FastAPI technologies
 </li>
 <li>
 Extensive experience with SQLAlchemy, Alembic migrations, and designing robust Pydantic schemas for data validation and serialization in Python-based applications.
 </li>
 <li>
 Experience working with cloud-based AI providers like OpenAI, Azure, Google, Meta, etc.
 </li>
 <li>
 Deep knowledge of Langchain framework and its modules such as Retrieval, Chains, Agents, Memory
 </li>
 <li>
 Experience in working with Multi-Agent frameworks (e.g., CrewAI, LangGraph, AutoGen, Magnetic-One ).
 </li>
 <li>
 Experience in Prompt Engineering.
 </li>
 <li>
 Proven experience in designing and developing production-level prompts tailored for various AI models and use cases
 </li>
 <li>
 Solid understanding of the vector databases(Pinecone, Chroma, Qdrant, Faiss)
 </li>
 <li>
 Hands-on experience with implementing production-grade guardrails for AI systems to ensure reliability, safety, and ethical compliance.
 </li>
 <li>
 Possesses a solid perspective on Agent-Oriented Programming (AOP) and its application in designing and developing intelligent, autonomous systems.
 </li>
 <li>
 In-depth knowledge of working with containerized cloud environments (Docker, Kubernetes, AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll experience working at Softtech:
 
 
 
 
 
 <ul>
 <li>
 Implement and develop Generative AI solutions for business needs.
 </li>
 <li>
 Work with large language models (LLMs) or small language models (SLMs) to create innovative applications and solutions.
 </li>
 <li>
 Develop and integrate AI-related APIs from providers like Google, Microsoft, and OpenAI.
 </li>
 <li>
 Write clean, scalable, and efficient code following best practices in AI development.
 </li>
 <li>
 Collaborate with senior engineers and architects to ensure the robustness and scalability of AI solutions.
 </li>
 <li>
 Conduct unit tests and debugging to ensure software reliability.
 </li>
 <li>
 Stay up to date with emerging AI technologies and frameworks, applying them where relevant.
 </li>
 <li>
 Participate in team discussions and contribute to knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 What we offer you:
 
 
 
 
 
 <ul>
 <li>
 Private medical insurance and group life insurance
 </li>
 <li>
 Company contributory in individual retirement or cumulative life insurance 3 months after working with us
 </li>
 <li>
 Employee and Employer Contribution Plan for individual retirement support (Optional)
 </li>
 <li>
 Monthly meal payment
 </li>
 <li>
 Flexible remote working support
 </li>
 <li>
 Transportation fee or shuttle option according to your preference
 </li>
 <li>
 Covered travel and accommodation expenses if necessary
 </li>
 <li>
 Employee discounts &ndash; including a huge number of retailers via &Idot;&scedil; Grubu Ailem
 </li>
 <li>
 Continuously learning and development opportunities
 </li>
 <li>
 Health and well-being seminars and initiatives via Softtech Academy
 </li>
 <li>
 Employee support program through a corporate consulting firm
 </li>
 <li>
 Support for postgraduate education, including administrative leave and financial incentives for those pursuing a Master's or PhD degree
 </li>
 <li>
 Study leave and support for studying for a qualification or other accredited development relevant to your role
 </li>
 <li>
 Attending to technical congress and conferences
 </li>
 <li>
 Celebrate your birthday with a day off
 </li>
 </ul>
 
 
 
 
 
 About us:
 
 
 
 
 
 
 As one of Turkey's leading technology companies, we have been operating at a total of 6 different locations in Turkey and USA since 2006.
 
 
 With the strength of our experience in banking and finance industry and experienced human resources, we are developing customer-oriented solutions for our business partners operating in diverse areas.
 
 
 Our mission is to transform all our customers including mainly &Idot;&scedil; Bankas&inodot; into digital companies by using our efficient and high-energy ecosystem.
 
 
 We recognize that our people are our strength and the diverse talents. We are an equal opportunity employer and welcome applications from any individuals without any restrictions at our company.
 
 
 
 
 
 Contact us:
 
 
 If you need more information please don't hesitate to contact us.
 
 
 https://softtech.com.tr
 
 
 https://m.youtube.com/@Softtechas
 
 
 https://anlatsin.com/softtech
 
 
 https://instagram.com/softtech?igshid=YmMyMTA2M2Y=
 
</div>

Generative AI Engineer

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 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 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>

AI Engineer

Good Job Games

<div>
 
 
 
 About us
 
 
 
 
 We were founded in 2017 with the motivation to reach people globally by giving them unique and unforgettable experiences with disruptive products. Our games have reached over 3.5 billion people. This could only be done by gathering exceptional talent and creating a culture to enhance team spirit and creativity. We are looking for passionate teammates to join our team!
 
 
 
 
 
 
 
 About the role
 
 
 
 
 The more technology evolves, the more it shapes our lives. We&rsquo;re looking for AI enthusiasts who are passionate about exploring new technologies and creating innovative, effective solutions to improve the way we work.
 
 
 
 
 
 If you thrive on a &ldquo;how can we do it better&rdquo; mindset, we&rsquo;d love to have you on our team!
 
 
 
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 <ul>
 <li>
 Leading a range of AI projects collaborating with teams from marketing to product and beyond
 </li>
 <li>
 Delivering technical expertise to support AI workflows, handling ad-hoc requests and issues
 </li>
 <li>
 Providing technical insights and suggestions to implement and improve AI models and tools
 </li>
 <li>
 Designing and deploying automation solutions that drive simplicity and efficiency, leveraging APIs, connectors, and workflow orchestration
 </li>
 <li>
 Exploring and mastering Generative AI technologies to support asset production processes, including prompt engineering and fine-tuning use cases
 </li>
 <li>
 Staying ahead of cutting-edge trends in AI and gaming and translating them into practical applications
 </li>
 </ul>
 
 
 
 
 
 Desired skills and experience
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Mathematics or a related engineering field
 </li>
 <li>
 Proficiency in Python (TensorFlow or PyTorch)
 </li>
 <li>
 Interest in Generative AI techniques (Diffusers, LoRAs, GANs, Transformer models, etc.) and a desire to develop in this area
 </li>
 <li>
 An always-looking-for-better-ways mindset and the ability to understand team needs to proactively generate solutions
 </li>
 <li>
 Ability to combine technical and business mindsets effectively
 </li>
 </ul>
 
 
 
 
 
 
 What makes our team so unique
 
 
 
 <ul>
 <li>
 Feedback and transparency are at the heart of everything we do
 </li>
 <li>
 Exceptional and passionate people/team members
 </li>
 <li>
 Every idea counts
 </li>
 <li>
 Never-ending learning
 </li>
 <li>
 We never stop asking the questions &ldquo;why&rdquo; and &ldquo;how&rdquo;
 </li>
 </ul>
 
 
 
 
 
 
 Our Perks
 
 
 
 <ul>
 <li>
 Team events and trips
 </li>
 <li>
 Great food
 </li>
 <li>
 On-site gym
 </li>
 <li>
 Full health benefits
 </li>
 <li>
 Compensation for paid military service
 </li>
 <li>
 Good Job Games Coin Program that lets you have unforgettable experiences (e.g. Going on a cruise trip to Norway or seeing the Northern Lights)
 </li>
 </ul>
 
 
 
 
 
 This is an on-site role in Istanbul, Sar&inodot;yer. Unfortunately, we do not offer a fully-remote working option.
 
 
</div>

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>
 
 We are looking for a
 
 Senior AI Engineer
 
 with a strong software engineering background and deep expertise in generative AI, multi-agent system design, guardrails, monitoring, and evaluation methodologies.
 
 
 
 
 
 You will work in a
 
 AI Team
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization and build, and scale our internal AI agent ecosystem from the ground up.
 
 
 This role is hands-on, impactful, and ideal for someone who wants to build real production AI systems.
 
 
 
 
 
 
 What you will do
 
 
 <ul>
 <li>
 Build lightweight tools, servers, and orchestration layers (e.g. MCP servers) that enable agents to operate reliably in production
 </li>
 <li>
 Architect and deliver agentic systems for internal engineering use cases: code analysis, documentation generation, SDLC automation, and troubleshooting assistance, etc.
 </li>
 <li>
 Take full ownership from prototyping and development through production deployment and maintenance
 </li>
 <li>
 Develop and maintain RAG pipelines, vector search, and semantic retrieval layers for knowledge-intensive applications
 </li>
 <li>
 Develop and refine LLM-based solutions including prompt engineering, performance evaluation, and cost optimization
 </li>
 <li>
 Build integrations between agents and internal tools (ServiceNow, Azure DevOps, observability platforms, internal knowledge bases)
 </li>
 <li>
 Define and enforce security controls including prompt sanitization, access control, audit trails, threat modeling, injection defense, and hallucination mitigation
 </li>
 <li>
 Establish comprehensive monitoring and evaluation methods for multi-agent systems measuring accuracy, safety, cost, and latency
 </li>
 <li>
 Keep up with the latest developments in LLMs, agent frameworks, workflow engines, and evaluation methodologies
 </li>
 <li>
 Collaborate with engineering teams to understand their needs, build relationships, and expand AI adoption across the organization
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 What we are looking for (Must-Have)
 
 
 <ul>
 <li>
 Bachelor's/Master's degree in Computer Science, Engineering, or equivalent degree
 </li>
 <li>
 5+ years of software engineering experience with strong Python skills and OOP fundamentals (Javaor .NET is a plus)
 </li>
 <li>
 Proven ability to design and architect agentic systems from scratch, including multi-agent orchestration and planning/reasoning flows
 </li>
 <li>
 Hands-on experience building production agentic AI applications using frameworks like LangChain, LangGraph, CrewAI or similar
 </li>
 <li>
 Experience with LLM APIs (OpenAI, Azure OpenAI, etc.)
 </li>
 <li>
 Strong API and microservices development experience with FastAPI, Flask, or Django
 </li>
 <li>
 Enterprise integration skills using RESTful APIs and event driven integration patterns (Kafka, RabbitMQ)
 </li>
 <li>
 Experience crafting prompts for enterprise tasks
 </li>
 <li>
 RAG pipeline expertise: vector databases, embeddings, semantic retrieval, and hybrid search methods
 </li>
 <li>
 Production system experience: CI/CD, containerization, testing, observability, and deployment best practices
 </li>
 <li>
 Strong understanding of agent safety, bias mitigation, transparency, and ethical design practices.
 </li>
 <li>
 Excellent communication and collaboration skills with ability to work autonomously in a "build from scratch" environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Background in banking, fintech, or regulated industries with sensitive data handling
 </li>
 <li>
 Open-source contributions or experience integrating agent frameworks into real-world applications with measurable impact
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Why this role is unique
 
 
 <ul>
 <li>
 You will be part of the first core team designing how AI will be used across ING T&uuml;rkiye&rsquo;s engineering ecosystem
 </li>
 <li>
 You will not only build features, but shape patterns, architecture, and standards
 </li>
 <li>
 Impact is immediate and internal &ndash; you get real production users, not demo projects
 </li>
 </ul>
 
 
 
 
 
 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 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 AI Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 "AI Engineer"
 
 on behalf of our global business partner runs in
 
 Telecommunication Industry.
 
 
 
 
 
 
 
 Description:
 
 
 
 
 AI Engineers &ndash; Search &amp; RecSys &amp; GenAI
 
 
 
 
 
 
 
 
 As a part of our AI teams you'll work with talented AI engineers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.
 
 
 
 
 
 
 
 
 
 You'll have a chance to thrive in a multinational environment. Within this role you can expect to carry out following tasks;
 
 
 
 
 
 
 <ul>
 <li>
 Design, develop, and optimize CTR prediction, graph-based models and ranking models for efficient and accurate search &amp; recommendation functionality in app store domain.
 </li>
 <li>
 Conduct feature engineering and data analysis to drive better model performance and insights.
 </li>
 <li>
 Explore and integrate generative AI techniques, LLM fine-tuning methods such as LoRA, QLoRA, or Prompt Tuning into search and recommendation systems.
 </li>
 <li>
 Develop agentic search and recommendation solutions for autonomous decision-making in search and recommendation pipelines.
 </li>
 <li>
 Design, build and deploy scalable ML services on MLOps platform to address business requirements.
 </li>
 <li>
 Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
 </li>
 <li>
 Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
 </li>
 <li>
 Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
 </li>
 <li>
 Stay updated with the latest advancements in information retrieval, ranking, deep learning, NLP, generative AI and agentic search, and integrate them into our products and services
 </li>
 <li>
 Produce academic outputs in the form of papers, patents, and technical talks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Minimum MS degree or PHD degree with focus on RecSys, IR and DL, preferably in a computer science &amp; engineering or related fields.
 </li>
 <li>
 Minimum 3 years of experience preferably in industry.
 </li>
 <li>
 Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
 </li>
 <li>
 Experience with popular deep learning frameworks (TensorFlow, PyTorch) and other ML libraries.
 </li>
 <li>
 Proven expertise in LLM-based development, RAG pipelines, and multi-agent systems.
 </li>
 <li>
 Publication records in journals or conferences related with RecSys, IR, NLP especially in the areas of ctr prediction, vector retrieval, semantic search and ranking.
 </li>
 <li>
 Experience in integrating deep models, language models (LMs), generative AI models, and ranking models for large-scale recommendation engines using these specialized techniques.
 </li>
 <li>
 Previous project experience in search or recommendation systems domain, including agentic search and recommendation approaches, is a big plus.
 </li>
 <li>
 Java service development experience using Spring and related topics &amp; technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
 </li>
 <li>
 Fluency in English is mandatory.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Am I right for the team?
 
 
 <ul>
 <li>
 </li>
 <li>
 If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
 </li>
 <li>
 If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML Engineer: 4 years (Required)</li></ul>

AI ML Engineer

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253 generative ai engineer jobs IN Istanbul Turkey

Generative AI Engineer

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Artificial Intelligence Engineer

AI ML Engineer