software engineer

agentic ai engineer

application engineer

data engineer

data engineer, growth

machine learning engineer

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

Otobid

<div>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Strong technical skills regarding statistics, data analysis, machine learning and programming
 </li>
 <li>
 Strong knowledge of Python
 </li>
 <li>
 Excellent problem-solving skills, use of data to connect multiple ideas and develop solutions
 </li>
 <li>
 Strong knowledge of SQL
 </li>
 <li>
 A portfolio with proven track records (papers, projects, blogs, GitHub repos)
 </li>
 <li>
 Knowledge in Git
 </li>
 <li>
 Good command of English
 </li>
 </ul>
 
 
 
 
 
 Bonus Points For:
 
 
 <ul>
 <li>
 MSc degree or PhD in a Computer Science, Statistics, Mathematics or Engineering, etc
 </li>
 <li>
 Strong communication and storytelling skills. Experience in communicating complex concepts with others coming from diverse backgrounds
 </li>
 <li>
 Domain knowledge in similar businesses
 </li>
 <li>
 Experience with containerization and serving Machine Learning models as microservices
 </li>
 <li>
 Systems administration skills in Linux
 </li>
 </ul>
</div>

Data Science Specialist

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

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>

Midas Games

<div>
 
 The ideal candidate's favorite words are learning, data, scale, and agility. You will leverage your strong collaboration skills and ability to extract valuable insights from highly complex data sets to ask the right questions and find the right answers.&nbsp;
 
 
 &nbsp;
 
 
 Responsibilities
 
 <ul>
 <li>
 Analyze raw data: assessing quality, cleansing, structuring for downstream processing
 </li>
 <li>
 Design accurate and scalable prediction algorithms
 </li>
 <li>
 Collaborate with engineering team to bring analytical prototypes to production
 </li>
 <li>
 Generate actionable insights for business improvements
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor's degree or equivalent experience in quantative field (Statistics, Mathematics, Computer Science, Engineering, etc.)
 </li>
 <li>
 At least 1 - 2 years' of experience in quantitative analytics or data modeling
 </li>
 <li>
 Deep understanding of predictive modeling, machine-learning, clustering and classification techniques, and algorithms
 </li>
 <li>
 Fluency in a programming language (Python, C,C++, Java, SQL)
 </li>
 <li>
 Familiarity with Big Data frameworks and visualization tools (Cassandra, Hadoop, Spark, Tableau)
 </li>
 </ul>
 
</div>

Armut

<div>Armut / Homerun is a leading local services marketplace with over 700,000 professionals across 4,000 services and has seen over 1000% revenue growth in 5 years. We aim to make finding good quality, trusted providers easy by using the latest technologies and machine learning algorithms. We serve over 5 million customers with 99% customer satisfaction in 14 different countries with 3 different brands. We&rsquo;re accelerating our sustainable growth with the new investment round of 15 Million &euro; and increasing the number of operating countries in the EMEA region. 
 
Our strength is rooted in our core values: always putting our customers first, solving problems with data and continuous learning. These values enabled us to change the local services industry and we&rsquo;ll continue to do this on a global scale. We offer a world-class working environment where entrepreneurial spirits speed up their careers. 
 
Join us on our journey to be the EMEA leader in the local services marketplace! 
 
You Will: 
<ul><li>Design, build, and maintain automation solutions to enhance category performance using data-driven approaches.</li><li>Leverage advanced analytics, machine learning, and automation to optimize workflows and decision-making across product categories.</li><li>Extract, manipulate, and analyze large datasets (structured, semi-structured, and unstructured) to uncover insights and drive operational improvements.</li><li>Develop and deploy predictive models, NLP pipelines, and recommendation systems to support category strategy and execution.</li><li>Create clear, actionable dashboards and reports using BI tools to communicate insights to stakeholders.</li><li>Collaborate cross-functionally with category managers, engineers, and data teams to scale automation initiatives.</li><li>Experiment with and implement modern AI/ML techniques, including retrieval-augmented generation (RAG) and LLM-based applications in production settings.</li></ul> 

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

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

Data & AI Solutions Specialist

arabam.com

<div>
 
 We are looking for a Data Scientist.
 
 
 
 
 
 
 
 
 
 About the Company
 
 
 
 Arabam.com, the leading auto classifieds marketplace of Turkey, was established in 2000 and joined the iLab Holding family in 2016.
 
 
 The arabam.com team, working with the mission to make buying and selling vehicles from the Internet much more reliable, easier and more comfortable, aims to improve the users experience with new functions continuously.
 
 
 Those who want to sell their car or who want to buy a car can make transactions anytime, anywhere.
 
 
 
 
 <ul>
 <li>
 7 million users per month,
 </li>
 <li>
 Over 200 million page views,
 </li>
 <li>
 7000+ car dealer members,
 </li>
 <li>
 6 million individual members,
 </li>
 <li>
 92% mobile traffic.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 About You
 
 
 <ul>
 <li>
 Stay open to learn and be a great team player with good communication skills (not a super star),
 </li>
 <li>
 Be a lifelong learner and take responsibility.
 </li>
 <li>
 Able to analyze and implement solutions to presented problems while satisfying the user&rsquo;s needs,
 </li>
 <li>
 Write code that is maintainable and highly reliable,
 </li>
 <li>
 Have strong problem-solving skills,
 </li>
 <li>
 Have the ability to multi-task and prioritize work as necessary,
 </li>
 <li>
 Enjoy collaboration with a team to successfully complete projects.
 </li>
 <li>
 Working with cross functional teams.
 </li>
 <li>
 Experience in a startup is a plus,
 </li>
 </ul>
 
 
 
 
 
 
 
 
 If You Have
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Statistics, Mathematics, Econometrics, Computer Science, or a related field (or equivalent experience),
 </li>
 <li>
 3+ years of experience in a similar role,
 </li>
 <li>
 Proven experience in building advanced predictive analytics models and working with large datasets,
 </li>
 <li>
 Fluency in
 
 Python
 
 and experience with data science libraries,
 </li>
 <li>
 Hands-on experience with deep learning architectures such as
 
 CNN
 
 ,
 
 RNN
 
 ,
 
 LSTM
 
 ,
 </li>
 <li>
 Hands on experience with libraries like
 
 Tensorflow, Keras, PyTorch,
 
 etc.
 </li>
 <li>
 Strong command of
 
 SQL
 
 and experience with
 
 big data frameworks
 
 such as
 
 Hadoop
 
 and
 
 Spark
 
 ,
 </li>
 <li>
 Applied machine learning experience in real-world business scenarios,
 </li>
 <li>
 Eagerness to learn and adapt to new technologies and methodologies,
 </li>
 <li>
 Ability to work collaboratively across teams, gather and interpret data, and clearly communicate insights to both technical and non-technical stakeholders,
 </li>
 <li>
 Experience with computer vision is a plus.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 <ul>
 <li>
 Understand complex operational and business problems, and take full ownership of turning large datasets into actionable insights using statistical methods and machine learning techniques,
 </li>
 <li>
 Conduct advanced statistical analyses to identify trends, evaluate performance, and generate data visualizations,
 </li>
 <li>
 Mine and analyze data from internal databases to support product development, optimize marketing strategies, and improve business outcomes,
 </li>
 <li>
 Analyze and extract relevant information from large amounts of historical data to help automate and optimize key processes,
 </li>
 <li>
 Extract meaningful information from historical data to automate and optimize critical processes,
 </li>
 <li>
 Develop monitoring tools and processes to track model performance and ensure data quality,
 </li>
 <li>
 Perform pre- and post-analysis of projects and newly launched features,
 </li>
 <li>
 Collaborate within cross-functional squads &mdash; including developers, product managers, and domain experts - to integrate models into production systems and ensure business impact.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What Do We Offer:
 
 
 <ul>
 <li>
 We continue to work remotely due to a pandemic since March 2020,
 </li>
 <li>
 The development team is consisting of people who are collaborative, sincere, talented and willing to learn and share new things,
 </li>
 <li>
 We are a rapidly growing company, this means a lot of opportunities
 </li>
 <li>
 We support developers to improve their skills, the candidate will have access to online learning courses,
 </li>
 <li>
 We encourage developers to test and implement cutting edge technologies,
 </li>
 <li>
 We have a medium publication that you can have a look: medium-arabamlabs
 </li>
 </ul>
 
 
 
 
 arabam.com olarak ki&scedil;isel verilerinizi nas&inodot;l i&scedil;ledi&gbreve;imiz hakk&inodot;nda detayl&inodot; bilgi i&ccedil;in l&uuml;tfen a&scedil;a&gbreve;&inodot;daki linkte yer alan Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu &Ccedil;er&ccedil;evesinde Ayd&inodot;nlatma Metnimizi inceleyiniz.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
 
 Please check the below link to see our Candidate Privacy Notice for detailed information on how we process your personal data.
 
 
 
 https://www.arabam.com/kisisel-bilgilerin-korunmasi
 
 
</div>

Explore 384+ Machine learning engineer in Istanbul this November. Find roles across top companies and apply now to boost your career.

384 machine learning engineer jobs IN Istanbul

Data Scientist

Data Science Specialist

Data Scientist / Senior Data Scientist

Data Scientist

Data Scientist

Data & AI Solutions Specialist

Data Scientist