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ai engineer [agent systems & llms] Jobs in Istanbul

ai engineer [agent systems & llms]

ml engineer

Turkish Technology

<div>
 
 
 About the team:
 
 
 
 You will be joining a newly formed and fast-growing team that is dedicated to innovation and excellence. This team leverages the latest technologies and adheres to modern development standards to create state-of-the-art logistics solutions. Designed for global use, our products aim to set new standards in the industry, solving complex challenges with precision and scalability. By joining this forward-thinking team, you will have the opportunity to contribute to a project with a global vision and a strong focus on quality and impact.
 
 
 
 
 
 
 About the role:
 
 
 
 We are on a mission to accelerate intelligent transformation through cutting-edge AI capabilities. We are seeking a passionate and experienced AI Engineer to join our dynamic team and lead the development of agentic AI systems and machine learning pipelines across enterprise and customer-facing domains.
 
 
 In this role, you will architect and deploy advanced multi-agent systems&mdash;combining LLMs, RAG pipelines, predictive ML models, and human-in-the-loop mechanisms&mdash;to deliver scalable, safe, and adaptive automation. You will play a key role in shaping the future of intelligent workflows by integrating state-of-the-art AI/ML tools and collaborating closely with software, data, and security architects to ensure seamless end-to-end solutions.
 
 
 
 
 
 
 Position located at:
 
 Libadiye Office
 
 
 
 
 
 
 This position will be:
 
 
 
 As an AI Engineer, you will be responsible for designing and implementing agentic AI and ML-driven automation systems that serve both enterprise operations and customer-facing processes. This includes developing multi-agent architectures, training &amp; deploying ML models, and establishing robust human-in-the-loop mechanisms to ensure reliability, safety, and adaptability.
 
 
 
 
 
 
 Key responsibilities include:
 
 
 <ul>
 <li>
 Design &amp; build multi-agent systems with orchestration logic for complex workflows
 </li>
 <li>
 Develop ML models (classification, regression, recommendation, clustering) using libraries such as scikit-learn, XGBoost, LightGBM, and HuggingFace Transformers
 </li>
 <li>
 Integrate ML and LLM outputs via RAG pipelines, semantic search, vector search, and agent memory architectures
 </li>
 <li>
 Implement feature engineering, data preprocessing, and missing data handling strategies to ensure model robustness
 </li>
 <li>
 Build and optimize end-to-end MLOps pipelines on cloud platforms (AWS, Azure, GCP) using MLflow, Kubeflow, Docker, and Kubernetes
 </li>
 <li>
 Develop and maintain agentic workflows using CrewAI, LangGraph, LangChain, N8N, and integrate with APIs, databases, and AI-powered tools
 </li>
 <li>
 Fine-tune LLMs and ML models using embedding strategies, hyperparameter optimization, and quantization/distillation techniques
 </li>
 <li>
 Apply model evaluation metrics (accuracy, precision, recall, F1, ROC-AUC, MSE) to track performance and detect drift
 </li>
 <li>
 Implement and monitor guardrails, reflection loops, output verification, and bias/fairness checks for AI/ML outputs
 </li>
 <li>
 Collaborate with cross-functional teams to align AI/ML solutions with business goals and operational constraints
 </li>
 </ul>
 
 
 
 
 
 How do we describe the perfect match?
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
 </li>
 <li>
 5+ years of experience in AI, machine learning, and/or software engineering, with proven delivery of production-grade AI/ML systems
 </li>
 <li>
 Strong expertise in agentic AI, LLM systems, RAG pipelines, and ML model development.
 </li>
 <li>
 Hands-on experience with CrewAI, N8N, LangChain, LangGraph, LangFlow, LangSmith, OpenAI API and AWS services (Lambda, S3, API Gateway, ECR)
 </li>
 <li>
 Proficiency in Python (pandas, NumPy, scikit-learn, SciPy, XGBoost) and SQL for data manipulation, analysis, and feature engineering
 </li>
 <li>
 Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant) and semantic search
 </li>
 <li>
 Background in predictive modeling, statistics, and ML evaluation metrics (precision, recall, F1, ROC-AUC, MSE)
 </li>
 <li>
 Experience building MLOps pipelines using MLflow, Kubeflow, or SageMaker; deploying to containerized environments (Docker, Kubernetes, OpenShift)
 </li>
 <li>
 Familiarity with AI-assisted development tools (Cursor, GitHub Copilot) in daily workflows.
 </li>
 <li>
 Ability to communicate AI/ML concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 Strong problem-solving skills, analytical thinking, and a data-driven mindset
 </li>
 <li>
 Proficient communication skills in English
 </li>
 </ul>
 
 
 
 
 
 Benefits Of Working With Us
 
 
 
 
 In addition to having the opportunity to grow and be challenged, and to be part of a life, our people enjoy a range of rewarding benefits:
 
 
 
 
 
 <ul>
 <li>
 Flexible working arrangements, generous personal, parental and cultural leave
 </li>
 <li>
 Competitive remuneration
 </li>
 <li>
 Free and subsidized health and wellbeing services
 </li>
 <li>
 Discounts on a wide range of products and services
 </li>
 <li>
 Career development opportunities
 </li>
 <li>
 A buddy who will guide and accompany you during your onboarding process
 </li>
 <li>
 A great number of online courses and technical trainings that will support your development
 </li>
 <li>
 Personalized development plan for you
 </li>
 <li>
 Using CED &amp; Pass Flight for travelling experience with your family
 </li>
 <li>
 Support payment for childcare
 </li>
 </ul>
 
 
 
 
 
 Be Yourself
 
 
 
 We value the unique backgrounds, experiences and contributions that each person brings to our team and encourage and celebrate diversity.
 
 
 
 
 
 If you would like to get to know more about Turkish Airlines Technology, please follow us on Instagram and LinkedIn;
 
 
 https://www.instagram.com/turkishairlinstechnology/
 
 
 https://www.linkedin.com/company/thyteknoloji/
 
</div>

AI Engineer (Libadiye Office)

Depixen

<div>
 
 
 We are seeking a skilled AI Engineer to design, build, and deploy our core AI agent systems. You will be instrumental in taking our ideas from research prototypes to robust, production-ready applications that deliver real value to our users.
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Stay updated with the latest advancements in AI and integrate them into projects.
 
 </li>
 <li>
 
 Design and develop AI solutions using language models and agent frameworks.
 
 </li>
 <li>
 
 Develop, train, and optimize AI models.
 
 </li>
 <li>
 
 Own the AI/ML stack from prototype to production.
 
 </li>
 <li>
 
 Create algorithms tailored to project requirements.
 
 </li>
 <li>
 
 Collaborate with team members to successfully complete projects on time.
 
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 
 Bachelor&rsquo;s in Computer Science, Electrical Engineering, AI Engineering, or related fields.
 
 </li>
 <li>
 
 At least 5 years of experience in machine learning or software engineeering with a focus on AI.
 
 </li>
 <li>
 
 1+ years of hands-on experience building applications with Large Language Models [LLMs].
 
 </li>
 <li>
 
 Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI]
 
 </li>
 <li>
 
 Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights &amp; Biases].
 
 </li>
 <li>
 
 Solid understanding of vector databases and their application in RAG systems.
 
 </li>
 <li>
 
 Strong communication skills and a team-oriented attitude.
 
 </li>
 <li>
 
 Ability to learn quickly and adapt to new technologies.
 
 </li>
 <li>
 
 Experience in image processing techniques is a plus.
 
 </li>
 </ul>
</div>

AI Engineer [Agent Systems & LLMs]

BAYEGAN

<div>
 
 
 Role;
 
 
 
 As an Artificial Intelligence Specialist, you will design and implement end-to-end AI solutions, leveraging classical ML, deep learning, and time serias-based architectures. You will collaborate with cross-functional teams to identify business challenges, design experiments, build predictive models, and communicate actionable insights to stakeholders.
 
 
 
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python; excited to learn new languages when needed,
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, AI, or related field
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face, LangChain)
 </li>
 <li>
 Strong understanding of ML model lifecycle, API-based architectures, and cloud-native deployment
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate complex technical ideas clearly
 </li>
 <li>
 Experience with software implementation,
 </li>
 <li>
 Strong background in Mathematical Modeling, Operations Research, Statistical approaches,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Design and implement AI solutions using ML, deep learning, and time series architectures
 </li>
 <li>
 Build solutions with GenAI tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)
 </li>
 <li>
 Translate business requirements into scalable AI-driven systems and MVPs
 </li>
 <li>
 Collaborate with data engineers, product managers, and software developers
 </li>
 <li>
 Stay up-to-date with emerging AI trends and apply them to drive innovation
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Specialist

Accelera Business Solutions

<div>
 
 At
 
 Accelera
 
 , we design and deliver enterprise-scale AI &amp; GenAI solutions for leading companies in finance, technology, manufacturing, and retail. We are now growing our teams to support AI Enablement Program of one of our clients.
 
 
 &nbsp;
 
 
 We are looking for
 
 Full-Stack Data Scientists
 
 who are eager to grow their careers by working side-by-side with our
 
 Principal Data Scientists
 
 (20+ years experience, PhDs from top universities) on high-impact real-world projects.
 
 
 &nbsp;
 
 
 
 🔍 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Work in
 
 cross-functional teams
 
 delivering AI/ML solutions end-to-end:
 </li>
 <li>
 Problem definition and analytical translation
 </li>
 <li>
 Data collection, wrangling, exploration and feature engineering
 </li>
 <li>
 ML/DL model building, tuning, and evaluation
 </li>
 <li>
 Building APIs, dashboards, and deploying models into production
 </li>
 <li>
 Contribute to cutting-edge Gen AI projects (LLM, RAG pipelines, NLP, multimodal AI)
 </li>
 <li>
 Collaborate closely with domain experts and data engineers
 </li>
 <li>
 Participate in agile delivery with regular demos, feedback sessions, and technical reviews
 </li>
 </ul>
 
 &nbsp;
 
 
 
 ✅ What We&rsquo;re Looking For
 
 
 <ul>
 <li>
 1&ndash;5 years of experience in data science, machine learning, or AI engineering
 </li>
 <li>
 Strong programming skills in Scientific Python
 </li>
 <li>
 Strong understanding of SQL, databases, and processing engines
 </li>
 <li>
 Hands-on knowledge in at least one of: predictive modeling, time series forecasting, NLP, or computer vision
 </li>
 <li>
 Familiarity with cloud or MLOps tools is a plus (Docker, MLflow, Kubernetes, Azure/AWS/GCP)
 </li>
 <li>
 Curious mindset, eagerness to learn from senior mentors, and strong communication skills
 </li>
 </ul>
 
 &nbsp;
 
 
 
 🌟 Why Join Us?
 
 
 <ul>
 <li>
 
 Learn from the best
 
 : Work directly with Principal Data Scientists and ML Architects who have led AI initiatives at global banks, tech firms, and industrial companies
 </li>
 <li>
 
 Real impact
 
 : Contribute to AI solutions that tackle real world business problems
 </li>
 <li>
 
 Growth path
 
 : Opportunity to specialize in applied ML, industrial analytics, or Gen AI, with a clear career progression
 </li>
 <li>
 
 Flexibility
 
 : Hybrid/remote work model with occasional on-site workshops
 </li>
 <li>
 
 Future options
 
 : High-performing team members may transition to client's internal teams through a conversion-to-hire option
 </li>
 </ul>
 
 
 
</div>

Full-Stack Data Scientist (Junior / Mid Level)

Codeway

<div>
 
 About Codeway
 
 
 Codeway is a technology company building AI-powered mobile apps used by over 300 million people worldwide.
 
 
 Since 2020, we&rsquo;ve launched 60+ products across photo editing, productivity, entertainment, and more&mdash;many of which lead their categories. Our standout apps include Retake, Wonder, and Chat &amp; Ask AI.
 
 
 With a deep focus on AI research and proprietary technologies, we build experiences that define new standards in mobile. In 2024, we became the most downloaded app publisher on iOS globally. None of this happens without the team. Our 270+ people bring curiosity, clarity, and ownership to everything we build. Recognized as Turkey&rsquo;s #1 LinkedIn Top Startup and a certified Great Place to Work across Europe and the tech industry, Codeway is built to attract, grow, and empower top talent.
 
 
 That&rsquo;s our way. This is Codeway.
 
 
 
 POSITION
 
 
 
 This role will focus on leveraging the app data to optimize the efficiency of marketing campaigns and app features. The ideal candidate will have a robust understanding of statistical analysis and classical machine learning methods with a passion for applying them to real-world time-series forecasting problems.
 
 
 
 WHAT YOU&rsquo;LL BE DOING?
 
 
 
 
 <ul>
 <li>
 Develop and own machine learning models to predict LTV and churn for our subscription-based apps.
 </li>
 <li>
 Design and implement custom loss functions and evaluation metrics tailored to business objectives (e.g., ranking, calibration, cohort forecasting).
 </li>
 <li>
 Drive improvements in automation, maintainability, and reproducibility to support scale and cross-functional adoption of already existing ML models and pipelines.
 </li>
 <li>
 Collaborate closely with data, product, and marketing teams to uncover insights and ensure models drive action.
 </li>
 <li>
 Stay up to date with recent ML research, tools, and modeling approaches &mdash; and translate ideas from papers into practice.
 
 
 
 
 </li>
 </ul>
 
 WHAT YOU&rsquo;LL BRING?
 
 
 
 
 <ul>
 <li>
 2+ years of experience as a Data Scientist or an ML Engineer.
 </li>
 <li>
 BS in engineering/physics/math or related field. MS/PhD is a big plus.
 </li>
 <li>
 Solid understanding of time series forecasting, user behavior modeling, or subscription lifecycle metrics.
 </li>
 <li>
 Strong skills in Python, machine learning frameworks (e.g., scikit-learn, PyTorch, TensorFlow), and model deployment best practices.
 </li>
 <li>
 Familiarity with LTV prediction challenges in consumer apps is a big plus.
 </li>
 <li>
 Strong problem-solving and communication skills &ndash; able to work independently and cross-functionally in a fast-paced environment.
 </li>
 <li>
 A strong understanding of statistics and the ability to identify and assess potential biases in data are essential.
 
 
 
 
 </li>
 </ul>
 
 NICE TO HAVES
 
 
 
 
 <ul>
 <li>
 Previous experience in Customer Lifetime Value and Churn Prediction within subscription based businesses.
 </li>
 <li>
 Contributions to large-scale codebases or open-source projects.
 </li>
 <li>
 Previous experience with cloud data platforms such as BigQuery.
 </li>
 <li>
 Proficiency in SQL and experience working with large datasets.
 </li>
 <li>
 Experience in putting models in production and experiment tracking.
 
 
 
 
 </li>
 </ul>
 
 WHAT&rsquo;S IN IT FOR YOU?
 
 
 
 
 <ul>
 <li>
 Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
 </li>
 <li>
 A Competitive Compensation Package. Long story short, we take care of you.
 </li>
 <li>
 A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
 </li>
 <li>
 Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
 </li>
 <li>
 Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
 </li>
 <li>
 Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
 </li>
 <li>
 Sport Activities Support. We care about your physical wellbeing and support your gym membership.
 </li>
 <li>
 Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
 </li>
 <li>
 Udemy Free Pass. An unlimited Udemy subscription.
 </li>
 <li>
 Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
 </li>
 <li>
 English Course Support. Be more global and perform best at your work.
 </li>
 <li>
 Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
 </li>
 <li>
 A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
 </li>
 <li>
 Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
 </li>
 <li>
 Free Breakfast. At Codebrew - every morning at 9:30 AM.
 </li>
 <li>
 No Dress Code. Dress as you like.
 </li>
 <li>
 Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
 </li>
 <li>
 Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
 </li>
 <li>
 Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
 </li>
 <li>
 Software Support. Subscription to any software you might need to perform at your best.
 </li>
 <li>
 Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
 </li>
 <li>
 Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
 </li>
 <li>
 Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
 
 
 
 
 </li>
 </ul>
 
 THE RECRUITING PROCESS
 
 
 
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 
 
 
 <ul>
 <li>
 Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
 </li>
 <li>
 Case Study: We might send you a task to solve.
 </li>
 <li>
 Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
 </li>
 <li>
 Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
 </li>
 <li>
 Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
 </li>
 <li>
 Welcome Aboard! You are now a part of the team.
 
 
 
 
 </li>
 </ul>
 
 Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 
 
 
 "Candidate Information Notice"
 
 
 
 page at
 
 
 https://www.codeway.co
 
 
 . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 
 
 
 Privacy Notice for Employee Candidate
 
 
 "
 
 summarizes the data processing procedures during the application process.
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 
 
 https://www.codeway.co
 
 
 adresindeki
 
 
 
 "Aday Ayd&inodot;nlatma Metnimizin"
 
 
 
 sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 
 
 
 "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
 
 
 
 ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 
</div>

Machine Learning Engineer

Pazarama

<div>
 
 
 Hi, I've got something to share with you!
 
 
 
 
 
 
 My name is Pazarama.
 
 
 
 
 
 
 Who am I?
 
 
 
 
 
 
 I&rsquo;m an e-commerce platform that makes life easier for my customers and business partners&mdash;a place where you can find everything you need. My name is a blend of the words "Bazaar" and "Panorama." I'm here to offer a panoramic view of the e-commerce world, creating a marketplace where everyone can find what they&rsquo;re looking for. Plus, with the strength of being a subsidiary of &Idot;&scedil; Bank and my broad perspective, I aim to create a sustainable shopping ecosystem.
 
 
 I&rsquo;m everywhere, making it easy for you to reach me: Pazarama mobile, the Pazarama website, &Idot;&scedil;Cep, Maximum Mobile and physical stores.
 
 
 From hotel and flight bookings to car rentals, online shopping to transportation card top-ups, even fuel payments without leaving your car, and exciting sweepstakes&mdash;I provide an all-in-one platform to meet all your needs.
 
 
 But that's not all... I aim to please those who choose me by offering payment options packed with discounts, instalment plans, and rewards. I don't just make shopping easier; I make it more rewarding with everything I&rsquo;ve mentioned. I&rsquo;m constantly evolving, enhancing myself and my technologies for my users and business partners.
 
 
 
 
 
 
 So, what can I do for you?
 
 
 
 
 
 
 This is a journey, and we&rsquo;re in it together. We&rsquo;ll enhance your skills with career-supporting training and create opportunities to achieve your dreams together. Every step of the way, we&rsquo;ll make this journey more vibrant with your ideas, enthusiasm, and talents. In this adventure, where you won&rsquo;t be afraid of making mistakes, we can turn your dreams into reality together.
 
 
 If you want to join me on this journey, apply for the position below and become part of our team!
 
 
 
 
 
 Pazarama is with you on your career journey 💙
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 A great team player with a creative, self-initiative mindset
 </li>
 <li>
 Excellent communication skills and problem-solving abilities
 </li>
 <li>
 2+ years of experience working as Data Scientist, Machine Learning Engineer or equivalent
 </li>
 <li>
 BS/MS degree in quantitative field (data science, computer engineering/science, information systems, software engineering, mathematics, statistics, or a similar field), or equivalent experience
 </li>
 <li>
 Experience in applying statistical solutions to solving business problems
 </li>
 <li>
 Fluency in Python and SQL
 </li>
 <li>
 Experience using analytics related libraries and AI/ML frameworks (e.g. scikit-learn, pandas, PyTorch, Tensorflow, PySpark)
 </li>
 <li>
 Active engagement with new trends in technology
 </li>
 </ul>
 
 
 
 
 
 Responsible for:
 
 
 
 
 
 <ul>
 <li>
 Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
 </li>
 <li>
 Perform mining, preparation and preprocessing of structured and unstructured data
 </li>
 <li>
 Converting data into meaningful insights and presenting information using data visualization tools and techniques
 </li>
 <li>
 Collaborate with stakeholders across the organization to create data-driven business solutions
 </li>
 <li>
 Conduct projects end-to-end from initial business case through development and production
 </li>
 <li>
 Design, develop and test machine learning and deep learning pipelines and platforms
 </li>
 <li>
 Focus on quality, accuracy and consistency of data, reporting data quality issues to both data owners and technical staff
 </li>
 </ul>
 
 
 
 
 
 Preferred if:
 
 
 
 
 
 <ul>
 <li>
 Strong experience in relational (SQL Server) and non-relational databases (Mongo DB)
 </li>
 <li>
 Knowledge of typical BI/data analytics tools (PowerBI/Tableau)
 </li>
 <li>
 Fluency in other programming languages (e.g. Scala, C#, Java) is a plus
 </li>
 <li>
 Hands-on experience with workflow management platforms (e.g. AirFlow, MLFlow, MLRun)
 </li>
 <li>
 Experience with Computer Vision, Image Processing, Natural Language Processing (NLP) techniques, recommendation systems and applications
 </li>
 <li>
 Participation in competition platforms like Kaggle
 </li>
 <li>
 Experience in cloud platforms (Amazon Web Services, Google Cloud Platform or Microsoft Azure) with related tools
 </li>
 <li>
 Experience in modern DevOps practices and containerization technologies (Docker, Kubernetes)
 </li>
 <li>
 Knowledge of recommendation and personalization systems, with experience in e-commerce environments is a big plus
 </li>
 </ul>
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz, veri sorumlusu Topkap&inodot; Dan&inodot;&scedil;manl&inodot;k Elektronik Hizmetler Pazarlama ve Ticaret A.&Scedil;. taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Ayd&inodot;nlatma Metni&rsquo;ne
 
 https://cdn.pazarama.com/docs/is-basvurusu-aydinlatma-metni.pdf
 
 linkinden ula&scedil;abilirsiniz. &Idot;lan&inodot;m&inodot;za ba&scedil;vuru yapman&inodot;z halinde ilgili metnin t&uuml;m&uuml;n&uuml; onaylam&inodot;&scedil; kabul edileceksiniz.
 
 
</div>

Data Scientist

Oredata Yazılım Anonim Şirketi

<div>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Responsibilities:<ul>
<li>Design and Develop Agentic AI Systems: Architect, develop and deploy intelligent agent systems that exhibit autonomous decision-making and action-taking capabilities, leveraging large language models (LLMs) and other advanced AI techniques.</li>
<li>Data Analysis &amp; Predictive Modeling: Analyze and interpret large, complex datasets using advanced statistical techniques and machine learning algorithms. Develop and implement predictive models, including recommendation engines, to identify patterns, trends, and actionable insights.</li>
<li>Feature Engineering &amp; Data Orchestration: Lead the collection, cleaning, organization, and transformation of large, complex datasets from multiple sources into high-quality features for training and evaluating AI models.</li>
<li>System Integration &amp; Scalability: Build and maintain scalable software infrastructure and data pipelines required for AI/ML and agentic AI deployments. Ensure the seamless integration of AI agents with existing systems and workflows.</li>
<li>Cross-functional Collaboration &amp; Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand business needs, translate them into AI solutions, and present complex findings and data-driven results in a clear and concise manner to diverse audiences.</li>
<li>Innovation &amp; Research: Drive innovation in agentic AI methodologies, tools, and applications within the organization. Conduct research and experimentation with new generative AI and agentic techniques, staying abreast of the latest advancements in the field.</li>
<li>Performance Optimization &amp; Monitoring: Optimize agent workflows for reliability, safety and performance. Implement robust monitoring and evaluation frameworks for deployed AI agent systems.</li>
</ul>Requirements:<ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a relevant field.</li>
<li>Proven experience 5 to 10 years in software development, with a strong focus on AI/ML engineering.</li>
<li>Demonstrated experience in building and deploying AI agent systems or similar autonomous systems.</li>
<li>Solid understanding of machine learning algorithms, statistical modeling and data analysis techniques.</li>
<li>Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with prompt engineering and fine-tuning Large Language Models (LLMs).</li>
<li>Strong problem-solving and analytical skills with an ability to translate complex data into actionable business strategies.</li>
<li>Excellent communication, presentation, and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.</li>
</ul>Preferred Qualifications<ul>
<li>Experience with cloud computing platforms, particularly Google Cloud Platform (GCP).</li>
<li>Familiarity with specific Agentic AI frameworks such as Google Cloud ADK (Agent Development Kit), CrewAI, LangChain etc.</li>
<li>Experience with MLOps principles and tools for model deployment and monitoring.</li>
<li>Knowledge of techniques for grounding generative models with external knowledge sources (e.g., Retrieval-Augmented Generation - RAG, Knowledge Graphs).</li>
<li>Experience with multi-agent systems and orchestration.</li>
</ul>Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?<ul>
<li>Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<li>Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
</ul>Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir. Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</div>

Agentic AI Engineer

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