software engineer

production engineer

backend software engineer

engineering manager

technical engineer

machine learning engineer

Libra Softworks

<div>
 
 We&rsquo;re looking for a
 
 Machine Learning Engineer
 
 to design, build, and deploy predictive models that shape the future of our games. You&rsquo;ll work closely with data and product teams to deliver insights and improve player experiences.
 
 
 
 
 
 If you&rsquo;re passionate about using ML to solve real problems and thrive in a collaborative environment where your work directly impacts strategy and outcomes, this role is for you! 🚀
 
 
 
 
 
 
 
 
 
 Who we think will be a great fit for this role:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Machine Learning, Engineering, or a related field,
 </li>
 <li>
 Proven experience with ML frameworks (e.g., scikit-learn, XGBoost, TensorFlow, or PyTorch),
 </li>
 <li>
 Proficient in Python and SQL; comfortable with large-scale datasets,
 </li>
 <li>
 Solid knowledge of predictive modeling, classification, clustering, and recommendation systems,
 </li>
 <li>
 Familiarity with A/B testing and experimental design, and a desire to support data science initiatives,
 </li>
 <li>
 Experience deploying models in production environments and working with cloud services for MLOps (e.g., AWS SageMaker, Google Vertex AI, Databricks) is a strong plus,
 </li>
 <li>
 Strong problem-solving and communication skills,
 </li>
 <li>
 Passion for games and improving player experiences through intelligent systems.
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 
 <ul>
 <li>
 Build and optimize ML models that predict player behavior (e.g., churn, lifetime value, engagement),
 </li>
 <li>
 Partner with cross-functional teams to translate business challenges into ML solutions,
 </li>
 <li>
 Support data science tasks such as cohort analysis, retention breakdowns, KPI deep dives and A/B test design,
 </li>
 <li>
 Continuously improve existing models by integrating new data signals and testing novel approaches,
 </li>
 <li>
 Contribute to internal tools and pipelines for efficient experimentation and deployment.
 </li>
 </ul>
 
 
 
 
 
 Who We Are
 
 
 
 
 Libra Softworks
 
 , founded in 2016, is a passionate and creative entertainment studio committed to bringing cheerful moments to players worldwide. We create original, engaging content that resonates deeply with our users and delivers unforgettable experiences.
 
 
 
 
 
 We are driven by innovation and the ambition to scale our success globally. Our free-spirited team thrives in a collaborative atmosphere, supported by a spacious office, recreational zones, diverse snacks, and flexible working conditions.
 
 
 
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Be part of a creative and supportive environment
 </li>
 <li>
 Play a key role in shaping the culture of a growing game studio
 </li>
 <li>
 Make a real impact &mdash; we move fast and value initiative
 </li>
 </ul>
 
 
 
 
 🎯
 
 Ready to Apply?
 
 
 
 Send your application now &mdash; we&rsquo;re excited to hear from you! 🚀
 
</div>

Machine Learning Engineer

EPAM Systems

<div>We are seeking a Senior Machine Learning Engineer to design and maintain conversational interfaces using the Dialogflow platform.
You will apply your skills in Python and prompt engineering for large language models to build advanced chatbots and virtual assistants. Your expertise will be key in integrating these solutions with backend systems and enhancing user interactions. Join us to contribute to innovative conversational AI projects and advance your career in machine learning engineering.
Responsibilities<ul><li>
Investigate existing engine implementations and propose integration methods with Seller Assistant</li><li>
Design and develop conversational user interfaces using Dialogflow</li><li>
Write and maintain natural language understanding intents and entities using Python</li><li>
Integrate Dialogflow with backend systems and APIs leveraging Python libraries</li><li>
Develop custom fulfillment functions in Python to manage complex user requests</li><li>
Engineer prompts for large language models to improve conversational quality</li><li>
Collaborate with cross-functional teams to ensure seamless system integration</li><li>
Test and debug conversational applications to ensure optimal performance</li><li>
Document development processes and maintain code repositories</li></ul>
Requirements<ul><li>
3+ years of experience in machine learning engineering with a focus on conversational AI</li><li>
Proven background in developing chatbots or virtual assistants using various platforms</li><li>
Skills in natural language processing and machine learning concepts</li><li>
Proficiency in Python programming for developing conversational applications</li><li>
Knowledge of Google Cloud Platform services and tools</li><li>
Capability to engineer prompts for large language models</li><li>
Strong written and verbal English communication skills (B2+)</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Senior Machine Learning Engineer (Dialogflow)

<div><div>Qualifications
</div><ul><li>Bachelor&rsquo;s degree in Electronics Engineering, Mechatronics, Electrical &amp; Electronics Engineering, or a related field
</li><li>Minimum 2 years of experience in electronic hardware or embedded systems development
</li><li>Proficiency in C/C++ for embedded programming (STM32, ESP32, or similar microcontrollers)
</li><li>Experience with communication protocols such as SPI, I2C, UART, CAN, Modbus
</li><li>Proficiency in debugging tools (e.g., ST-Link, logic analyzer, oscilloscope)
</li><li>Experience in firmware-hardware co-debugging and validation
</li><li>Solid foundation in analog and digital circuit design and PCB design (Altium Designer, KiCad, or Eagle)
</li><li>Ability to document hardware, firmware, and test procedures clearly and systematically
</li><li>Experience in testing and debugging using multimeters, oscilloscopes, and signal generators
</li><li>Strong analytical and troubleshooting abilities
</li><li>Comfortable working in a multidisciplinary R&amp;D team environment
</li><li>No military obligation for male candidates
</li><li>Residing in Istanbul
</li></ul><div>________________________________________
</div><div>Job Description
</div><ul><li>Design, develop, and test electronic hardware and embedded systems for logistics automation and technology projects
</li><li>Support mechanical design tasks including enclosure design and 3D prototyping when needed
</li><li>Develop and maintain firmware for embedded platforms (bare-metal or RTOS-based)
</li><li>Conduct hardware validation, system integration, and performance testing
</li><li>Collaborate with cross-functional teams in automation, mechanical, and software domains
</li><li>Prepare and maintain technical documentation, BOMs, schematics, and test reports
</li><li>Participate in R&amp;D innovation projects aimed at improving logistics efficiency and sustainability
</li><li>Ensure compliance with relevant standards (CE, FCC, EMC/EMI)
</li><li>Manage version control and project documentation using Git and project tracking tools (Jira, Trello, Notion)
</li></ul><div>________________________________________
</div><div>Nice to Have
</div><ul><li>Experience with IoT systems (MQTT, HTTP, RESTful APIs)
</li><li>Knowledge of wireless communication protocols (BLE, Wi-Fi, UWB)
</li><li>Python scripting for automation or testing
</li><li>Exposure to industrial automation (PLC programming, sensor integration, Modbus/CANopen communication)</li></ul></div><div></div>

Zoolatech

<div><div><div><div><div><div><div><div>OVERVIEW</div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div>Are you passionate about improving the way Machine Learning systems are developed, deployed, and scaled in real-world production environments? We are collaborating with a leading European Online Fashion &amp; Beauty Retailer to find a highly capable and self-driven Machine Learning Engineer (MLE/MLOps Focus) to join a fast-moving and impactful team working on the Home page.
This role is centered around building robust ML workflows, streamlining feature creation, and standardizing ML components to ensure scalability, consistency, and speed across the organization. You&rsquo;ll work at the intersection of engineering and data science, playing a key part in shaping how machine learning is delivered at scale.
</div><div><ul><li>Design and build ML components, including systems for data access, feature management, model training, deployment, and inference at scale.</li><li>
Develop infrastructure and tooling that enable ML practitioners to experiment, version, deploy, and monitor models in a reliable and automated way.</li><li>
Architect scalable, modular, and reusable systems that serve as the backbone of ML development across multiple teams.</li><li>
Implement core abstractions and APIs &mdash; from feature creation to model rollout.</li><li>
Build and maintain observability and reliability tooling for ML systems &mdash; including telemetry pipelines, model health checks, and automated retraining triggers.</li><li>
Establish best practices, frameworks, and reference implementations that raise the bar for engineering rigor and speed in ML delivery.</li><li>
Work closely with infrastructure, data, and security teams to ensure that ML systems are secure, compliant, and production-grade by default.</li></ul>
</div><div><ul><li>5+ years of experience in Machine Learning Engineering or MLOps roles</li><li>
Solid Python development skills</li><li>
Strong hands-on experience with Airflow (MWAA), MLFlow, and/or SageMaker</li><li>
Familiarity with ML observability tools such as Grafana, custom metric logging, model drift detection, and alerting mechanisms</li><li>
Proficiency in building CI/CD pipelines for ML systems with automated testing and validation</li><li>
Experience with Infrastructure-as-Code tools (CloudFormation, YAML)</li><li>
Understanding of secure and compliant deployment of ML pipelines</li><li>
Excellent debugging and problem-solving skills</li><li>
Experience with OpenAI API usage in production, containerization, and Kubernetes orchestration is highly valued</li></ul>
</div></div></div><div><div><div><div>Location:
<div>Istanbul, Turkey
</div></div><div>Seniority:
<div>Senior
</div></div><div>Technologies:
<div>Python
</div></div></div></div><div><div>Benefits:
<ul><li>Paid Vacation
</li><li>Hybrid Work (home/office)
</li><li>Sick Days
</li><li>Sport/Insurance Compensation
</li><li>Holidays Day Off
</li><li>English Classes
</li><li>Training Compensation
</li><li>Transportation compensation</li></ul></div></div></div></div></div></div>

Senior MLOps Engineer

<div>We are looking for a Senior MLOps Engineer with expertise in Python and cloud technologies.
You will use your skills to build and maintain automation pipelines and improve system architecture. Join us to contribute to innovative projects and advance your career in a supportive environment.
Responsibilities<ul><li>
Develop and maintain automation pipelines on cloud or on-premise environments</li><li>
Apply prompt engineering techniques to optimize machine learning workflows</li><li>
Write Python code with comprehensive error handling and testing</li><li>
Implement DevOps practices for cloud and on-premise deployments</li><li>
Utilize engineering tools such as GitHub and CI/CD systems to ensure code quality</li><li>
Troubleshoot dependencies and enforce code standards including PEP 8 guidelines</li><li>
Design and improve system architecture to support scalable solutions</li></ul>
Requirements<ul><li>
Extensive experience in machine learning engineering with Python coding, minimum 3 years</li><li>
Proven background in MLOps implementation on cloud platforms</li><li>
Demonstrated DevOps experience in cloud or on-premise settings</li><li>
Proficiency in cloud services, especially Azure OpenAI Service</li><li>
Strong knowledge of engineering tools including GitHub and CI/CD pipelines</li><li>
Understanding of prompt engineering techniques</li><li>
Advanced English language proficiency</li></ul>
We offer<ul><li>
CONTINUOUS UPSKILLING, LEARNING &amp; DEVELOPMENT<ul><li>
Diversity of tasks and projects</li><li>
Assessment center for objective review of competency level</li><li>
Personal development plan</li><li>
Mentoring programs and leadership development</li><li>
Certification and professional development support</li><li>
Access to learning platforms including more than 2,500 internal courses and the LinkedIn Learning library with 20,000+ courses</li><li>
English courses taught by certified teachers</li></ul></li><li>
CORPORATE BENEFITS<ul><li>
Extra leave days</li><li>
Referral bonuses</li></ul></li><li>
COMPENSATION PACKAGE<ul><li>
Competitive compensation paid in USD</li><li>
Regular salary and performance reviews</li></ul></li><li>
MEDICAL &amp; HEALTHCARE<ul><li>
Private health insurance</li><li>
Well-being events</li></ul></li><li>
WORKING ENVIRONMENT<ul><li>
Recreation areas and kitchens</li><li>
Tea, coffee, and snacks</li><li>
Well-being events</li><li>
Sports equipment and game consoles</li><li>
IT Equipment</li><li>
Microsoft's Software Assurance Home Use Program (HUP)</li></ul></li></ul>
EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.</div>

Senior MLOps Engineer with Python

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

InoTrade

<div>
 
 
 About InoTrade
 
 
 
 
 
 
 At InoTrade, we shape the future of global commerce by leading in AI-driven innovation. By combining advanced AI capabilities with deep industry expertise, we transform complexity into clarity and deliver solutions that drive meaningful, lasting impact.
 
 
 What makes this possible is our people. We bring together AI experts, engineers, researchers, and industry leaders who thrive on collaboration and curiosity. United by a passion for solving the toughest challenges, our team creates breakthroughs that push the boundaries of technology and business.
 
 
 
 
 
 
 Role
 
 &nbsp;
 
 
 
 
 
 You will design and implement end-to-end AI solutions. This includes leveraging classical machine learning (ML), deep learning, and time series-based architectures. You will collaborate with cross-functional teams to identify business challenges and design experiments. Additionally, you will build predictive models and communicate actionable insights to stakeholders.&nbsp;
 
 
 
 
 
 
 Qualifications
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python, and enthusiasm for learning new languages when needed&nbsp;
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field&nbsp;
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering&nbsp;
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain)&nbsp;
 </li>
 <li>
 Strong understanding of the ML model lifecycle, API-based architectures, and cloud-native deployment&nbsp;
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate complex technical ideas clearly&nbsp;
 </li>
 <li>
 Experience with software implementation&nbsp;
 </li>
 <li>
 Strong background in mathematical modeling, operations research, and statistical approaches&nbsp;
 </li>
 <li>
 Strong background in time series models&nbsp;
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Design and implement AI solutions using machine learning (ML), deep learning, and time series architectures&nbsp;
 </li>
 <li>
 Build solutions with generative AI (GenAI) tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)&nbsp;
 </li>
 <li>
 Translate business requirements into scalable AI-driven systems and MVPs (Minimum Viable Products)&nbsp;
 </li>
 <li>
 Collaborate with data engineers, product managers, and software developers&nbsp;
 </li>
 <li>
 Stay up-to-date with emerging AI trends and apply them to drive innovation&nbsp;
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).&nbsp;
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.&nbsp;
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.&nbsp;
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.&nbsp;
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.&nbsp;
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.&nbsp;
 </li>
 </ul>
 
 
 
</div>

Artificial Intelligence (AI) Specialist

Explore 726+ Machine learning engineer in Turkey this October. Find roles across top companies and apply now to boost your career.

726 machine learning engineer jobs IN Turkey

Machine Learning Engineer

Senior Machine Learning Engineer (Dialogflow)

Machine Learning Engineer

Senior MLOps Engineer

Senior MLOps Engineer with Python

Data Scientist / Senior Data Scientist

Artificial Intelligence (AI) Specialist