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Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

Rollic

<div>
 
 Rollic is an Istanbul-based game developer and publisher.
 
 
 Founded in 2019 and acquired in October 2020 by Zynga, who joined the Take-Two roof as of May 2022.
 
 
 Rollic has over 3.5 billion downloads across its diverse portfolio of games and, thanks to an intensive development process utilizing a massive test pipeline, has a steady cadence of globally hit titles such as
 
 
 Color Block Jam, Timeline Up, Crowd Express: Boarding Puzzle, Hole People, and Knit Out
 
 
 , all of which have gained millions of downloads worldwide within a few months after their release.
 
 
 
 
 
 We are looking for
 
 Data Scientist
 
 ;
 
 
 
 
 
 
 
 
 
 Main Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Using our modern tech stack;
 
 
 AWS, Snowflake, Airflow, Tableau
 
 
 and
 
 
 DBT
 
 
 to develop innovative tools;
 </li>
 <li>
 Developing and maintaining
 
 
 A\B experiment system,
 
 
 </li>
 <li>
 Working closely with gaming teams to craft, test, verify, and implement machine learning models to make our games better,
 </li>
 <li>
 Applying statistical methodologies to evaluate performance and accounting for uncertainties in major initiatives;
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Desired Skills and Qualifications
 
 
 
 
 
 <ul>
 <li>
 BS in Computer Science, Math, Statistics, Economics, or related fields; Master or Ph.D.,
 </li>
 <li>
 3+ years of work experience in data science, machine learning, or analytics role,
 </li>
 <li>
 Demonstrated experience with some or all of the following: A\B testing systems, machine learning, statistics, data visualization,
 </li>
 <li>
 Proficient in Python and SQL; Experience in applying machine learning on large datasets, preferably using Snowflake or similar cloud data systems.
 </li>
 <li>
 Strong written and oral communication skills.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Discover our perks and benefits:
 
 
 
 
 
 <ul>
 <li>
 Competitive salary to help you reach your highest potential
 </li>
 <li>
 Meal compensation
 </li>
 <li>
 Relocation support to Istanbul
 </li>
 <li>
 State-of-the-art equipment in your welcome package
 </li>
 <li>
 Gaming room &amp; lounge area to relax and recharge
 </li>
 <li>
 A pet-friendly office where your furry friends are welcome
 </li>
 <li>
 Gym area in the Rollic office
 </li>
 <li>
 Private health insurance
 </li>
 <li>
 24/7 online well-being &amp; mental health support
 </li>
 <li>
 Learning &amp; development via Take-Two&rsquo;s employee program
 </li>
 <li>
 A chance to take responsibility and improve your skills continuously.
 </li>
 </ul>
 
 
</div>

Data Scientist

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

Turkcell

<div>
 
 As Turkcell, we aim to build a sustainable organization that creates value by providing our talents with a unique human experience and to elevate our employer brand to the top. In line with this goal, we reflect our adopted values in our ways of doing business.
 
 
 
 
 
 
 
 What We Value at Turkcell?
 
 
 
 
 
 Human-focused approach:
 
 In order to create a unique human experience, we place people at the center of our practices and aim to maximize the potential of our employees and develop their talents.
 
 
 
 Innovation:
 
 We passionately work to produce innovative solutions that make a difference in people's lives and to discover new ideas and technologies. 🚀
 
 
 
 Excellence:
 
 We aim for excellence in every aspect we are involved in and interact with, setting high standards for ourselves and achieving outstanding results. 🎯👌🏼
 
 
 
 Collaboration:
 
 We foster a culture of collaboration, respect and transparency as the key to success. 👥🔗🧩
 
 
 
 Customer-focused approach:
 
 We aim to deliver exceptional customer experiences by placing the needs of our customers at the center. 🤝 🖇️
 
 
 
 Sustainability:
 
 We are working towards a sustainable future for our customers, our employees and our world. 🌍
 
 
 
 
 
 
 
 What we expect ?
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Engineering (Computer, Industrial, Math etc.), MIS, Math, Statistics or Business Administration (Master&rsquo;s Degree is a plus),
 </li>
 <li>
 Min. 2 years of experience in:
 </li>
 <li>
 Analytical Models/Methods, Predictive Models and Behavioral Segmentation,
 </li>
 <li>
 SQL and Python are required,
 </li>
 <li>
 Hadoop, R and Spark experience is a plus,
 </li>
 <li>
 Proficiency in predictive modelling software such as SAS, SPSS, and KXEN is a plus,
 </li>
 <li>
 Understanding of Machine Learning methodologies,
 </li>
 <li>
 Project management and analytical thinking skills,
 </li>
 <li>
 Results-driven and delivery-focused,
 </li>
 <li>
 Telecom sector experience is a plus,
 </li>
 <li>
 Strong written and verbal communication skills in English.
 </li>
 </ul>
 
 
 
 
 
 
 What Does the Data Scientist Role Do at Turkcell?
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design and develop machine learning models aimed at enhancing various aspects of the business, including upselling, cross-selling, churn prediction, product recommendations, and offer propensity. Regularly update these models to adapt to changing market conditions and offer variations.
 </li>
 <li>
 Big Data Analysis: Utilize advanced analytical methods to analyze large datasets, including log data, transaction data, and graph data. Extract valuable insights to inform strategic decisions and drive business growth.
 </li>
 <li>
 Customer Behavior Analysis: Conduct in-depth analyses of customer behavior and needs to provide valuable insights for critical business decisions. Utilize methods such as customer segmentation, predictive analysis, and other data-driven techniques.
 </li>
 <li>
 Performance Monitoring: Continuously monitor the performance of machine learning models and assess the impact of marketing, digital services, and sales actions. Periodically measure the financial outcomes of these actions and communicate the results to key business stakeholders.
 </li>
 <li>
 Data Ownership: Take a proactive approach to owning and managing enterprise data, including defining data warehouse integration needs. Collaborate with technical teams to ensure seamless data integration and accessibility.
 </li>
 <li>
 Project Management: Assume end-to-end responsibility for analytical projects in Turkcell. Manage projects from conception to implementation, ensuring they align with business objectives and deliver actionable insights.
 </li>
 <li>
 Innovation and Business Ideas: Proactively generate innovative business ideas by leveraging big data and analytics. Develop and execute analytical projects aimed at increasing customer lifetime value and improving overall business performance.
 </li>
 </ul>
 
 
 
 
 
 Privacy Notice:
 
 
 
 https://kariyerim.turkcell.com.tr/Documents/Calisan_Adayi_Aydinlatma_Metni.pdf
 
 
 
 
 
 
 Perks and Benefits
 
 
 
 As a member of our team, you&rsquo;ll have the opportunity to receive a competitive salary, flexible working arrangements and a range of fringe benefits and perks such as career development and advancement opportunities. You can reach the details via "https://bit.ly/TurkcellTKusagi&rsquo;&rsquo;🎁▶️
 
 
 
 
 
 *
 
 Turkcell is an equal opportunity employer and accepts all qualified applicants for evaluation; regardless of race, color, religion, gender, national origin, ethnicity, age, physical appearance, marital status, military service.
 
 
</div>

DATA SCIENTIST

Abdi Ibrahim Pharmaceuticals

<div>
 
 Abdi &Idot;brahim, founded in 1912, has the largest product portfolio in the sector and is the largest employer in the Turkish pharmaceutical industry with 5.500 employees. Abdi &Idot;brahim has been the leader of Turkey&rsquo;s pharmaceutical industry since 2002 with its powerful vision. Today, Abdi &Idot;brahim operates in 17 countries outside Turkey, exports to more than 70 countries ranging from Canada to European Union member states, from North Africa to Asia. As a corporate citizen working towards creating a better world and a better future, adhering to its mission in the sector and to the requirements of societal priorities, Abdi &Idot;brahim focuses on sustainability in all its business processes. Its vision for 2025 - apart from maintaining its status as a wholly local company - is to become "one of the top 100 pharmaceutical companies in the world.
 
 
 
 
 
 Abdi &Idot;brahim Pharmaceuticals - Data Scientist
 
 
 
 
 
 
 The requirements for the successful candidate are;
 
 
 <ul>
 <li>
 BSc or MSc degree in a quantitative field such as Computer Engineering, Industrial Engineering, Mathematics, Statistics or related disciplines
 </li>
 <li>
 At least 1 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for specialist
 </li>
 <li>
 At least 5 years of hands-on experience in Machine Learning, Data Mining, or Advanced Analytics for executive
 </li>
 <li>
 Strong theoretical and practical knowledge of Machine Learning algorithms (regression, classification, clustering, tree-based models, neural networks, etc.)
 </li>
 <li>
 Proven experience with data preprocessing, feature engineering, model training, model evaluation and optimization
 </li>
 <li>
 Strong proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus)
 </li>
 <li>
 Solid experience with SQL and relational databases
 </li>
 <li>
 Familiarity with data visualization tools such as Power BI, Tableau, or equivalent
 </li>
 <li>
 Strong knowledge of statistical analysis and experimental design.
 </li>
 </ul>
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with time series forecasting, recommender systems, NLP or computer vision
 </li>
 <li>
 Experience with MLOps, model deployment and automation
 </li>
 <li>
 Experience in cloud environments (Azure, AWS, GCP)
 </li>
 <li>
 Knowledge of pharmaceutical industry
 </li>
 </ul>
 
 
 
 
 
 The key duties of the successful candidate are:
 
 
 <ul>
 <li>
 Develop, validate, and deploy machine learning and data mining models to solve real business problems
 </li>
 <li>
 Perform exploratory data analysis (EDA) and create advanced analytical insights from large datasets
 </li>
 <li>
 Design and implement feature engineering pipelines and model optimization strategies
 </li>
 <li>
 Work closely with business teams to translate business problems into analytical solutions
 </li>
 <li>
 Build predictive, classification and segmentation models
 </li>
 <li>
 Monitor model performance and continuously improve model accuracy
 </li>
 <li>
 Write efficient SQL queries to extract and prepare data from enterprise data sources
 </li>
 <li>
 Develop scalable analytics solutions using Python-based data science frameworks
 </li>
 <li>
 Document methodologies and communicate results clearly to both technical and non-technical stakeholders
 </li>
 <li>
 Contribute to the development of advanced analytics roadmap
 </li>
 </ul>
 
 
 
 
 Applicants with suitable qualifications are kindly invited to apply through LinkedIn. All applications will be acknowledged and treated confidentially.
 
 
 
</div>

Data Scientist (Executive/Specialist)

Prometeia

<div>
 
 
 Junior Data Scientist - AI &amp; Machine Learning
 
 
 
 
 
 
 Are you curious and ready to accept a new challenge in your career? Are you eager to join a dynamic company and bring innovation through your work and skills?
 
 
 Prometeia offers you opportunities for growth and training in a Group with over 1000 professionals working for more than 500 clients in 20 countries around the world.
 
 
 Among the European leaders in Enterprise Risk Management and Wealth &amp; Asset Management solutions, Prometeia is looking for a motivated and curious part-time junior data scientist to join our AI &amp; Machine Learning team in Istanbul. The ideal candidate is passionate about learning how to use data to solve real-world problems in the finance domain. This role is designed for someone at the beginning of their data science career who wants to gain hands-on experience, make tangible contributions, and continue to grow their technical and analytical skills.
 
 
 
 
 
 
 RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Support senior data scientists in the development of AI and machine learning models.
 </li>
 <li>
 Assist with data collection, cleaning, and exploration tasks.
 </li>
 <li>
 Contribute to feature engineering and model training using Python-based tools.
 </li>
 <li>
 Participate in testing and validating models under the guidance of senior team members.
 </li>
 <li>
 Conduct exploratory data analysis, feature engineering, and selection to enhance model performance.
 </li>
 <li>
 Participation in the preparation/review of simple prototypes/analytic components within more complex pipelines.
 </li>
 <li>
 Contribute to data labeling and annotation tasks, especially for text and language-based (NLP) datasets.
 </li>
 <li>
 Take part in research and experimentation to explore new data science methods and tools.
 </li>
 <li>
 Preparing and delivering technical presentations to clients and stakeholders to explain machine learning models, project outcomes, and analytical insights.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS:
 
 
 <ul>
 <li>
 Currently a junior or senior undergraduate student, or enrolled in a Master&rsquo;s program in Computer Science, Statistics, Mathematics, Engineering, Data Science, or a related field.
 </li>
 <li>
 Knowledge of statistics, Machine Learning, and major clustering, classification, and regression algorithms.
 </li>
 <li>
 Proficiency in programming languages such as Python and SQL.
 </li>
 <li>
 Familiarity with Python libraries and tools for Machine Learning (numpy/pandas, scikit-learn) and scientific computing.
 </li>
 <li>
 Eagerness to learn and contribute in a team-oriented environment and attention to detail.
 </li>
 <li>
 Good communication and presentation skills in English.
 </li>
 </ul>
 
 
 
 
 
 NICE TO HAVE:
 
 
 <ul>
 <li>
 Experience with code versioning systems (git).
 </li>
 <li>
 Experience in data wrangling, cleaning, exploration, and feature extraction.
 </li>
 <li>
 Experience in consulting or working with clients is a plus.
 </li>
 <li>
 Experience in financial institutions is a plus.
 </li>
 </ul>
 
 
 
 
 
 LOCATION:
 
 
 
 Istanbul
 
 
 
 
 
 
 WHAT WE OFFER:
 
 
 
 
 REMOTE WORKING
 
 
 
 Flexibility is an intrinsic value of our way of working. In Prometeia, remote working is an organizational method based on trust. It results in benefits in terms of work/life balance, impact on the environment and optimization of company results through autonomy and empowerment of people.
 
 
 
 TRAINING
 
 
 
 Prometeia means continuous training. We provide an average of 11 days of training per year to our people, in person and online. We pay specific attention to younger colleagues, the protagonists of dedicated growth programs, and to the continuous sharing and internal transfer of know-how and skills. On-the-job training is also important and is made of immediate and direct confrontation with the market.
 
 
 
 COMMUNITY
 
 
 
 Our Community is highly diverse, as are the skills of the people who are part of it and who share its values, and the individuals and organizations directly or indirectly involved in our activities. Clients, People of the Group, Alumni, Institutions, Academia, non-profit entities we actively cooperate with are stakeholders representing a great value for us in terms of trust and collaboration.
 
 
 
 DIVERSITY
 
 
 
 We promote and respect equal opportunities and consider differences as a value. Diversity &amp; Inclusion are fundamental values: from the recruitment phase to everyday life, promoted also through dedicated training moments to develop individual sensitivities and uniqueness.
 
 
 
 IMPACT
 
 
 
 We responsibly take an active role towards the environment, territories and communities we operate in. Our Headquarter in Bologna has obtained the Leed Gold Certification, one of the highest awards recognizing the efficiency of the building in terms of energy and water savings, CO2 emissions reduction, and improvement of the ecological quality of interiors, materials and resources. In the Sustainability Report we outline the results achieved within the 17 Sustainable Development Goals (SDGs) of the 2030 Agenda drafted by the UN in 2016, that we have been supporting since 2020.
 
</div>

Junior Data Scientist - AI & Machine Learning

Explore 579+ Machine learning engineer in Istanbul this December. Find roles across top companies and apply now to boost your career.

579 machine learning engineer jobs IN Istanbul

AI Engineer - Computer Vision

Data Scientist

Data Scientist / Senior Data Scientist

DATA SCIENTIST

Data Scientist (Executive/Specialist)

Junior Data Scientist - AI & Machine Learning

Junior Data Scientist - AI & Machine Learning