principal ml/ai software engineer Jobs in Ankara

principal ml/ai software engineer

lead software engineer

machine learning engineer

TRB 360

<div>
 
 
 Quantitative AI Developer
 
 
 
 
 
 
 
 Location:
 
 &Idot;stanbul / Ankara
 
 
 
 Work Model:
 
 Hybrid
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 We are supporting one of our client companies in their search for a Quantitative AI Developer.
 
 
 The selected candidate will be responsible for building and maintaining AI and machine learning models that power the company&rsquo;s analytical and trading infrastructure. You will apply advanced statistical and computational methods to large-scale market and operational datasets, designing predictive systems that enhance forecasting, risk analysis, and portfolio performance.
 
 
 
 
 
 This is a highly technical and research-oriented role ideal for candidates with strong AI/ML modeling experience who are eager to see their models make a direct market impact in global commerce.
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 &bull; Build advanced models leveraging large-scale and complex datasets to generate predictive insights for derivative products.
 
 
 &bull; Design, train, and test quantitative and machine learning models to identify predictive signals from time series and alternative data sources.
 
 
 &bull; Conduct in-depth quantitative and qualitative assessments of model performance, including theoretical soundness, design integrity, implementation quality, and data consistency.
 
 
 &bull; Research and implement machine learning algorithms to support forecasting and trading strategy development across derivative products and related markets.
 
 
 &bull; Develop software features and automation tools that enhance scalability, reliability, and efficiency.
 
 
 &bull; Build and maintain APIs, services, and back-end tools to integrate models into production environments.
 
 
 &bull; Collaborate closely with cross-functional teams to ensure scalable, accurate, and efficient model deployment.
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 &bull; Bachelor&rsquo;s or Master&rsquo;s degree in Computer Engineering, Software Engineering, or a related discipline.
 
 
 &bull; Minimum 2 years of experience in a Quantitative Developer, AI Developer, or similar analytical role.
 
 
 &bull; Strong programming skills in Python (pandas, NumPy, scikit-learn, PyTorch, etc.).
 
 
 &bull; Solid understanding of statistics, econometrics, and machine learning principles.
 
 
 &bull; Experience in developing and maintaining production-level ML systems or analytical tools.
 
 
 &bull; Familiarity with time series modeling (ARIMA, XGBoost, LSTM, etc.) is a plus.
 
 
 
 
 
 
 Preferred Qualifications
 
 
 
 
 
 
 &bull; Experience with machine learning or deep learning applications for financial data.
 
 
 &bull; Familiarity with big data and cloud environments (e.g., Spark, AWS, GCP).
 
 
 &bull; Experience with financial data APIs (Bloomberg, Refinitiv, yFinance, etc.).
 
 
 &bull; Relevant certifications such as CFA, FRM, or formal training in Quantitative Finance.
 
 
 
 
 
 
 Soft Skills
 
 
 
 
 
 
 &bull; Ability to communicate complex quantitative and financial concepts clearly to non-technical stakeholders.
 
 
 &bull; Strong collaboration and coordination skills across technical and business teams.
 
 
 &bull; Proactive, solution-oriented, and adaptable in fast-changing market environments.
 
</div>

Quantitative AI Developer (Istanbul- Ankara)

Try-this.ai

<div>
 We're an innovative company operating at the intersection of fashion, e-commerce, and artificial intelligence. With offices in Ankara and the Netherlands, we're building next-generation solutions that transform how people experience online fashion retail. Our AI-powered platform delivers personalized shopping experiences while leveraging new technologies to solve challenges in the fashion e-commerce space.
 
 
 We're seeking a talented Mid-Level Full Stack Developer to join our team in a hybrid capacity based in Ankara, Turkey. This contract position offers an exciting opportunity to work on AI-driven fashion e-commerce solutions while collaborating with our international team across Turkey and the Netherlands. If you're passionate about combining modern web technologies with machine learning to revolutionize the fashion industry, we'd love to hear from you.
 
 
 
 Requirements
 
 
 
 
 Core Technologies:
 
 
 
 <ul>
 <li>
 Strong proficiency in Node.js for backend development
 </li>
 <li>
 Expert-level React skills for frontend implementation
 </li>
 <li>
 Hands-on experience with AWS (Amazon Web Services) &amp; Other cloud providers.
 </li>
 <li>
 Proven track record with cloud-based services and architecture
 
 
 </li>
 </ul>
 
 Specialized Skills
 
 
 
 <ul>
 <li>
 Experience in AI implementation and integration
 </li>
 <li>
 Understanding of machine learning model deployment and integration
 </li>
 <li>
 Ability to build scalable, cloud-native applications
 </li>
 <li>
 Interest or experience in e-commerce platforms is a plus
 
 
 </li>
 </ul>
 
 Professional Qualifications
 
 
 
 <ul>
 <li>
 Mid-level experience (typically 3-5 years in similar roles)
 </li>
 <li>
 Strong problem-solving abilities and attention to detail
 </li>
 <li>
 Good communication skills in English
 </li>
 <li>
 Ability to work effectively in a hybrid work environment
 </li>
 <li>
 Comfortable collaborating with international teams across different time zones
 
 
 </li>
 </ul>
 
 Nice To Have
 
 
 
 <ul>
 <li>
 Experience with e-commerce platforms or fashion tech
 </li>
 <li>
 Knowledge of recommendation systems or computer vision
 </li>
 <li>
 Experience with serverless architectures
 </li>
 <li>
 Familiarity with CI/CD pipelines and microservices design patterns
 
 
 </li>
 </ul>
 
 What We Offer
 
 
 
 <ul>
 <li>
 Flexible hybrid work arrangement in Ankara
 </li>
 <li>
 Opportunity to work on innovative AI and e-commerce solutions
 </li>
 <li>
 Offices at Ankara &amp; Rotterdam &amp; Amsterdam.
 </li>
 <li>
 International collaboration with our Netherlands office
 </li>
 <li>
 Work on products that impact the fashion industry
 </li>
 <li>
 Professional growth and learning opportunities in AI and e-commerce
 </li>
 <li>
 Dynamic, creative work environment
 
 
 </li>
 </ul>
 
 Join Our Mission
 
 
 
 Be part of a team that's reshaping the future of fashion e-commerce through artificial intelligence. Your work will directly impact how customers discover and engage with fashion online.
 
 
 
 How To Apply
 
 
 
 If you're ready to take on this challenge and meet the requirements above, we encourage you to submit your application. Please include your resume, portfolio showcasing relevant projects, and a brief cover letter explaining your experience with our required technology stack and your interest in fashion tech or e-commerce.
</div>

Full Stack Developer

Atlassian

<div>Overview:

Working at Atlassian
Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
To help our teams work together effectively, this role is fully remote but requires you to be located in Turkiye.
Responsibilities:

About the Role
We are looking for a Principal Engineer experienced in the ML/AI domain to drive the vision, development, and launch of AI-powered products and platforms at Atlassian. You will lead initiatives across two key areas:<ul><li>
AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Atlassian's product teams.</li><li>
NextGen AI - Exploring cutting-edge AI applications (for example, chatbot experiences, generative AI features) to shape the future of our products.</li></ul>
This role requires strong technical leadership, balancing hands-on engineering, strategic decision-making, and cross-functional collaboration to ensure the successful end-to-end delivery of AI solutions.
Joining Atlassian is an opportunity to be at the forefront of industry transformation.
Responsibilities<ul><li>
Define the technical vision and roadmap for AI Foundation and NextGen.</li><li>
End-to-end ownership - from prototyping and development to production.</li><li>
Hands-on work in prompt engineering, model iteration, and training/inference systems.</li><li>
Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact.
</li><li>Facilitate product and technical decisions, ensuring alignment with business goals.</li><li>
Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams.</li><li>
Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption.</li><li>
Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges.
</li><li>Evaluate in-house model development vs. third-party APIs for ML/AI solutions.</li><li>
Establish best practices for AI development, quality measurement, monitoring, and scalability.</li></ul>
Qualifications:

Must-Have:<ul><li>
7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML.</li><li>
Proven track record of tech-leading AI/ML products from conception to launch.</li><li>
Strong platform mindset - experience building reusable tools/infras to accelerate AI development.</li><li>
Strong programming skills in any OOO programming language - we&rsquo;re open to candidates from different tech backgrounds.</li><li>
Excellent communication and collaboration skills.</li></ul>
Nice-to-Have:<ul><li>
PhD or MS in a relevant field.</li><li>
Background in ML modeling (training/fine-tuning ML models).</li><li>
Experience with chatbots, generative AI, or LLM-powered applications.</li></ul>
#LI-Remote
Benefits &amp; Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits.
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh.</div>

Principal ML/AI Software Engineer

<div>
 
 
 Overview
 
 
 
 
 
 Working at Atlassian
 
 
 
 Atlassians can choose where they work &ndash; whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity. Interviews and onboarding are conducted virtually, a part of being a distributed-first company.
 
 
 
 To help our teams work together effectively, this role is fully remote but requires you to be located in Turkiye.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 About the Role
 
 
 
 We Are Looking For a Principal Engineer Experienced In The ML/AI Domain To Drive The Vision, Development, And Launch Of AI-powered Products And Platforms At Atlassian. You Will Lead Initiatives Across Two Key Areas:
 
 
 <ul>
 <li>
 AI Foundation - Building scalable AI infrastructure and tools to expedite the development of AI-powered features across Atlassian's product teams.
 </li>
 <li>
 NextGen AI - Exploring cutting-edge AI applications (for example, chatbot experiences, generative AI features) to shape the future of our products.
 
 
 
 </li>
 </ul>
 This role requires strong technical leadership, balancing hands-on engineering, strategic decision-making, and cross-functional collaboration to ensure the successful end-to-end delivery of AI solutions.
 
 
 Joining Atlassian is an opportunity to be at the forefront of industry transformation.
 
 
 
 
 Responsibilities
 
 
 
 
 <ul>
 <li>
 Define the technical vision and roadmap for AI Foundation and NextGen.
 </li>
 <li>
 End-to-end ownership - from prototyping and development to production.
 </li>
 <li>
 Hands-on work in prompt engineering, model iteration, and training/inference systems.
 </li>
 <li>
 Collaborate with Product, Engineering, Data Science, and UX to align on priorities and deliver measurable impact.
 </li>
 <li>
 Facilitate product and technical decisions, ensuring alignment with business goals.
 </li>
 <li>
 Drive platformization of AI/ML systems to improve scalability, reliability, and adoption across teams.
 </li>
 <li>
 Partner with customer teams to understand needs, build relationships, and expand the scope of AI adoption.
 </li>
 <li>
 Explore and apply state-of-the-art AI/ML techniques to solve novel product challenges.
 </li>
 <li>
 Evaluate in-house model development vs. third-party APIs for ML/AI solutions.
 </li>
 <li>
 Establish best practices for AI development, quality measurement, monitoring, and scalability.
 
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 Must-Have:
 
 
 
 <ul>
 <li>
 7+ years of experience in Machine Learning engineering, including hands-on work with training/inference pipelines, prompt engineering, and ML systems, demonstrating deep expertise in applied ML.
 </li>
 <li>
 Proven track record of tech-leading AI/ML products from conception to launch.
 </li>
 <li>
 Strong platform mindset - experience building reusable tools/infras to accelerate AI development.
 </li>
 <li>
 Strong programming skills in any OOO programming language - we&rsquo;re open to candidates from different tech backgrounds.
 </li>
 <li>
 Excellent communication and collaboration skills.
 
 
 
 </li>
 </ul>
 
 
 Nice-to-Have:
 
 
 
 
 <ul>
 <li>
 PhD or MS in a relevant field.
 </li>
 <li>
 Background in ML modeling (training/fine-tuning ML models).
 </li>
 <li>
 Experience with chatbots, generative AI, or LLM-powered applications.
 
 
 
 </li>
 </ul>
 
 
 Benefits &amp; Perks
 
 
 
 
 Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit
 
 go.atlassian.com/perksandbenefits
 
 
 .
 
 
 
 
 
 About Atlassian
 
 
 
 
 At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
 
 
 We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
 
 
 To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
 
 
 To learn more about our culture and hiring process, visit
 
 go.atlassian.com/crh
 
 
 .
 
 
 
</div>

Udemy

<div>
 
 Join Udemy. Help
 
 
 define
 
 
 the future of learning.
 
 
 
 Udemy is an AI-powered skills acceleration platform built to help people and teams grow. It&rsquo;s personalized, practical, and focused on real-world impact.
 
 
 Our mission is simple: to transform lives through learning. Your work helps people around the world build skills they can use, whether they&rsquo;re picking up something new or leveling up to stay ahead.
 
 
 Over 80 million learners and 17,000 businesses already learn with Udemy. If you&rsquo;re excited by change, energized by learning, and ready to have a real impact, you&rsquo;ll feel right at home.
 
 
 
 Learn More About Us On Our Company Page.
 
 
 
 
 
 Where we work
 
 
 
 
 Udemy is a global company headquartered in San Francisco, with additional U.S. offices in Denver and Austin, and international hubs in Australia, India, Ireland, Mexico, and T&uuml;rkiye.
 
 This is an in-office position, requiring three days a week in the office (Tuesday, Wednesday, Thursday) and flexibility on Mondays and Fridays
 
 .
 
 
 
 About Your Skills
 
 
 
 <ul>
 <li>
 Continuous Learning and Growth: Being able to follow up on all the progress in the AI and ML field, translating them into strategic capabilities for you and your teams is critical for this role. Truly understanding what these algorithms are capable of and making sure you set your team for success.
 </li>
 <li>
 Leadership: You design and build an environment that balances outcomes and innovation, while keeping a collaborative yet competitive team culture. You lead with humility and clarity. You build an environment where individuals feel supported, heard, and proud of what they build together. You understand how to motivate and empower your team to do their best work.
 </li>
 <li>
 Data Driven: You rely on data driven processes to make sure what the team is building is delivering the intended value. Fueled by an iterative process of A/B experiments and learning, you provide a clear process that balances big bets and iterative improvements leading to measurable outcomes.
 </li>
 <li>
 Decision Making: You are able to gather and communicate effectively all data, cross functional partner inputs, company direction to facilitate effective brainstorming sessions, help the team to set direction and progress confidently.
 </li>
 <li>
 Effective Communication: You explain the complex domain of ML/AI Algorithms with intuitive and focused simplicity, while clearly communicating limitations and opportunities effectively.
 
 
 </li>
 </ul>
 
 About This Role
 
 
 
 As a Data Scientist manager in the Catalog Search team, you will be responsible for managing a team of data scientists building AI/ML driven algorithms for the discovery of learning experiences with a primary focus on search. You will drive the strategy for the team to explore new strategies to use LLMs, semantic embedding models as well as learning engagement analysis of users (behavioral data) and incorporate these to turn to highly personalized learning opportunities for learners.
 
 
 
 
 What you&rsquo;ll be doing
 
 
 
 
 <ul>
 <li>
 Partner with product managers, data scientists, engineers and other stakeholders to build data products and set direction as well as drive the execution.
 </li>
 <li>
 Build and maintain a high performance team, by recruiting, hiring and planning career development of a team of data scientists/ML engineers
 </li>
 <li>
 Provide hands-on technical guidance and career mentorship for team members
 </li>
 <li>
 Maintain high-quality standards, effective communication processes, and best practices in engineering and data science
 </li>
 <li>
 Research or prototype solutions and contribute to the codebase as needed
 
 
 </li>
 </ul>
 
 
 What you&rsquo;ll have
 
 
 
 
 <ul>
 <li>
 8+ years of experience as a software engineer, researcher or data scientist
 </li>
 <li>
 3+ years of management experience of teams building data driven solutions.
 </li>
 <li>
 Appetite and relevant background for learning state-of-the-art AI based search solutions
 </li>
 <li>
 Strong communication skills both written and verbal
 </li>
 <li>
 Strong coding skills with SQL and 1+ programming language (e.g. Java, Python)
 </li>
 <li>
 Familiarity with agile practices (e.g., Scrum)
 </li>
 <li>
 Ability to communicate effectively with non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Preferred But Not Required
 
 
 
 <ul>
 <li>
 Hands on experience with Enterprise search systems (e.g. Elasticsearch, Solr).
 </li>
 <li>
 Experience with big data ecosystems such as Spark, Hadoop and Hive.
 </li>
 <li>
 Hands-on experience with training and fine-tuning semantic embeddings and/or LLMs.
 
 
 </li>
 </ul>
 application deadline 18 November 2025
 
 
 
 Why work here?
 
 
 
 
 You&rsquo;ll grow here.
 
 
 
 Learning is part of the job. You&rsquo;ll get full access to Udemy courses, a monthly UDay to invest in yourself, and a budget to spend on whatever helps you improve. Many people are diving into AI lately, but what you focus on is up to you.
 
 
 
 AI is real here.
 
 
 
 We use it in the way we learn and the way we work. You&rsquo;ll have the space and tools to experiment, apply, and get better at using AI in practical ways.
 
 
 
 You&rsquo;ll own your work.
 
 
 
 We trust people to lead, make decisions, and follow through. You don&rsquo;t need to wait for permission or layers of approval to have an impact.
 
 
 
 You&rsquo;ll Build With Others.
 
 
 
 We collaborate openly and shape ideas together. Everyone has a voice, and good thinking is welcomed from any direction.
 
 
 
 You&rsquo;ll see your impact.
 
 
 
 What you build helps people grow their skills, change their careers, or find a path forward. You&rsquo;ve got the experience, why not use it to help others gain theirs?
 
 
 
 Bring your curiosity. We&rsquo;ll bring the platform and the support. Let&rsquo;s
 
 LEARN
 
 together.
 
 
 
 
 Our Benefits Start With U
 
 
 
 Our benefits start with you and were built to provide you and your family with the protection and care you need, making it easy to access the right coverage when you need it most. Benefits vary by region, and we encourage applicants to review our Australia Benefits, India Benefits, Ireland Benefits, Mexico Benefits, Turkiye Benefits &amp; US Benefits, pages to get an understanding of some of the benefits we offer. For details on region-specific benefits, please refer to the information provided during the hiring process.
 
 
 
 Benefits outlined are provided as a general overview and may vary depending on the location, role, and employment classification. All benefits are subject to change at the discretion of the organization and in accordance with applicable laws and policies.
 
 
 
 
 At Udemy, we value diversity and inclusion and consider qualified applicants without regard to race, color, religion, sex, national origin, ancestry, age, genetic information, sexual orientation, gender identity, marital or family status, veteran status, medical condition, or disability. We understand that not everyone will match each of the qualifications. However, we also realize that everyone has unique experiences that can add value to our company. Even if you think your background might not perfectly align, we'd love to hear from you!
 
 
 
 
 
 Information regarding data privacy is available within the Udemy Careers Privacy Notice.
 
 
</div>

Senior Data Science Manager

TİTRA

<div>
 
 
 Genel Nitelikler
 
 
 
 
 
 <ul>
 <li>
 Bilgisayar M&uuml;hendisli&gbreve;i, Elektrik-Elektronik M&uuml;hendisli&gbreve;i, Yapay Zeka veya ilgili b&ouml;l&uuml;mlerinden mezun,
 </li>
 <li>
 Python, C++ gibi programlama dillerinde tecr&uuml;beli,
 </li>
 <li>
 OpenCV k&uuml;t&uuml;phanesinde bilgi ve deneyimli,
 </li>
 <li>
 NumPy, SciPy, Pandas gibi k&uuml;t&uuml;phanelerde bilgili,
 </li>
 <li>
 PyTorch, TensorFlow gibi derin &ouml;&gbreve;renme k&uuml;t&uuml;phanelerine giri&scedil; d&uuml;zeyinde hakim,
 </li>
 <li>
 CUDA veya benzeri paralel hesaplama platformlar&inodot;nda temel bilgi ve deneyime sahip,
 </li>
 <li>
 Linux i&scedil;letim sistemi &uuml;zerinde &ccedil;al&inodot;&scedil;ma deneyimi ve komut sat&inodot;r&inodot; ara&ccedil;lar&inodot;n&inodot; kullanma becerisi olan,
 </li>
 <li>
 Git ve di&gbreve;er versiyon kontrol sistemlerinde temel bilgi ve tak&inodot;m projelerinde kullan&inodot;ma yatk&inodot;n,
 </li>
 <li>
 Temel g&ouml;r&uuml;nt&uuml; i&scedil;leme algoritmalar&inodot;na dair bilgi sahibi (kenar alg&inodot;lama, segmentasyon vb.),
 </li>
 <li>
 Matematik ve lineer cebir konular&inodot;nda bilgili,
 </li>
 <li>
 Teknik literat&uuml;r takip edecek d&uuml;zeyde &Idot;ngilizce bilgisine sahip,
 </li>
 <li>
 Problem &ccedil;&ouml;zme becerisi ve &ouml;&gbreve;renme motivasyonu olan,
 </li>
 <li>
 Ekip &ccedil;al&inodot;&scedil;mas&inodot;na yatk&inodot;nl&inodot;k ve etkili ileti&scedil;im becerilerinde uyumlu.
 </li>
 </ul>
 
 
 
 
 
 Tercih Sebebi Olan Di&gbreve;er Nitelikler
 
 
 
 
 
 <ul>
 <li>
 Bilgisayarl&inodot; g&ouml;r&uuml; projelerinde staj veya bireysel proje deneyimi,
 </li>
 <li>
 Nvidia GPU'lar &uuml;zerinde derin &ouml;&gbreve;renme modelleri geli&scedil;tirme, TensorRT ile model optimizasyonu ve h&inodot;zland&inodot;rma deneyimi,
 </li>
 <li>
 Yapay zeka projelerinde bulut platformlar&inodot; (AWS, Google Cloud vb.) kullan&inodot;m&inodot;,
 </li>
 <li>
 G&ouml;m&uuml;l&uuml; sistemlerle &ccedil;al&inodot;&scedil;ma deneyimi (Jetson, Raspberry Pi, Coral, Rockchip vb.).
 </li>
 <li>
 Ger&ccedil;ek zamanl&inodot; uygulamalara y&ouml;nelik tecr&uuml;be,
 </li>
 <li>
 ROS 2 (Robot Operating System 2) platformunda &ccedil;al&inodot;&scedil;ma deneyimi veya temel bilgi,
 </li>
 <li>
 ONNX (Open Neural Network Exchange) format&inodot;n&inodot; anlama ve modelleri ONNX'e d&ouml;n&uuml;&scedil;t&uuml;rme veya kullanma deneyimi,
 </li>
 <li>
 Video encoding ve decoding hakk&inodot;nda bilgi sahibi,
 </li>
 <li>
 GStreamer k&uuml;t&uuml;phanesi hakk&inodot;nda bilgi veya deneyimli,
 </li>
 <li>
 &Idot;&scedil; planlama sistemlerinde (Jira vb.) tecr&uuml;beli.
 </li>
 </ul>
 
 
 
 
 
 &Idot;&scedil; Tan&inodot;m&inodot;
 
 
 
 
 
 <ul>
 <li>
 &Idot;nsans&inodot;z hava ara&ccedil;lar&inodot;nda ger&ccedil;ek zamanl&inodot; bilgisayarl&inodot; g&ouml;r&uuml; sistemleri geli&scedil;tirilmek,
 </li>
 <li>
 Geli&scedil;tirilen sistemler i&ccedil;in test, donan&inodot;m, algoritma ihtiya&ccedil;lar&inodot;n&inodot; belirlemek,
 </li>
 <li>
 Sorumlu oldu&gbreve;u sistemlerin &Idot;HA &uuml;st&uuml;ndeki ve saha test ve kontrollerinde g&ouml;rev almak, test prosed&uuml;rlerini belirlemek ve bu prosed&uuml;rlerin ger&ccedil;ekle&scedil;tirilmesinde rol almak,
 </li>
 <li>
 G&ouml;r&uuml;nt&uuml; zenginle&scedil;tirme, nesne alg&inodot;lama, nesne takibi, nesne s&inodot;n&inodot;fland&inodot;rma, yerel &ouml;znitelik &ccedil;&inodot;kar&inodot;m&inodot; ve e&scedil;lenmesi, visual odometry ve SLAM gibi g&ouml;revler i&ccedil;in algoritmalar geli&scedil;tirmek,
 </li>
 <li>
 Mevcut algoritmalar&inodot; optimize ederek performans ve do&gbreve;rulu&gbreve;u art&inodot;rmak,
 </li>
 <li>
 Tasarlanan algoritmalar&inodot; C++ dilinde ger&ccedil;eklemek,
 </li>
 <li>
 Model geli&scedil;tirme i&ccedil;in g&ouml;r&uuml;nt&uuml; ve video verilerini toplamak, etiketlemek ve &ouml;n i&scedil;lemek,
 </li>
 <li>
 Veri setlerinin kalitesini analiz etmek ve iyile&scedil;tirme &ouml;nerileri sunmak,
 </li>
 <li>
 Derin &ouml;&gbreve;renme ve makine &ouml;&gbreve;renimi y&ouml;ntemlerini kullanarak bilgisayarl&inodot; g&ouml;r&uuml; modelleri olu&scedil;turmak, e&gbreve;itmek ve de&gbreve;erlendirmek,
 </li>
 <li>
 TensorFlow, PyTorch gibi k&uuml;t&uuml;phanelerle projeler geli&scedil;tirmek,
 </li>
 <li>
 Nvidia Jetson, Raspberry Pi, Coral Edge TPU, Rockchip gibi SoM (System on Module) cihazlarda &ccedil;al&inodot;&scedil;acak &scedil;ekilde bilgisayarl&inodot; g&ouml;r&uuml; modellerini optimize etmek ve da&gbreve;&inodot;tmak,
 </li>
 <li>
 G&ouml;m&uuml;l&uuml; sistemlerde performans s&inodot;n&inodot;rlamalar&inodot;n&inodot; a&scedil;mak i&ccedil;in model s&inodot;k&inodot;&scedil;t&inodot;rma, kuantizasyon ve h&inodot;zland&inodot;r&inodot;c&inodot; kullan&inodot;m&inodot; gibi teknikler uygulamak,
 </li>
 <li>
 Ger&ccedil;ek zamanl&inodot; uygulamalar i&ccedil;in model entegrasyonu ve donan&inodot;m-yaz&inodot;l&inodot;m uyumlulu&gbreve;unu sa&gbreve;lamak,
 </li>
 <li>
 Geli&scedil;tirilen modelleri ger&ccedil;ek zamanl&inodot; uygulamalara entegre etmek ve test etmek,
 </li>
 <li>
 Sistem performans&inodot;n&inodot; ve do&gbreve;rulu&gbreve;unu s&uuml;rekli izlemek ve iyile&scedil;tirme &ccedil;al&inodot;&scedil;malar&inodot; yapmak,
 </li>
 <li>
 &Ccedil;al&inodot;&scedil;malar&inodot;n&inodot; teknik dok&uuml;manlara ve raporlara d&ouml;n&uuml;&scedil;t&uuml;rerek tak&inodot;m i&ccedil;inde payla&scedil;mak,
 </li>
 <li>
 Geli&scedil;tirdi&gbreve;i &ccedil;&ouml;z&uuml;mleri m&uuml;&scedil;teriler ve di&gbreve;er ekiplerle anla&scedil;&inodot;l&inodot;r &scedil;ekilde anlatabilmek,
 </li>
 <li>
 Proje ekipleriyle i&scedil; birli&gbreve;i yaparak proje gereksinimlerini anlamak ve &ccedil;&ouml;z&uuml;mler sunmak.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Linkedin &uuml;zerinden iletece&gbreve;iniz ki&scedil;isel bilgileriniz, T&Idot;TRA ve grup &scedil;irketleri b&uuml;nyesindeki mevcut ve gelecekte olu&scedil;abilecek i&scedil;e al&inodot;m ihtiya&ccedil;lar&inodot;n&inodot; de&gbreve;erlendirmek amac&inodot;yla 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda Veri Sorumlusu T&Idot;TRA olarak taraf&inodot;m&inodot;zca i&scedil;lenecek ve T&Idot;TRA ve T&Idot;TRA'n&inodot;n ba&gbreve;l&inodot; oldu&gbreve;u grup &scedil;irketlerinde halihaz&inodot;rda mevcut veya ileride olu&scedil;abilecek pozisyonlar i&ccedil;in de&gbreve;erlendirilmesi amac&inodot;yla, T&Idot;TRA'n&inodot;n grup &scedil;irketleriyle payla&scedil;&inodot;lacakt&inodot;r.
 
 
</div>

Bilgisayarlı Görü Mühendisi

Nokia

<div>
 
 Job Description
 
 
 
 Join the NI &ldquo;Center of Innovation&rdquo; team at Nokia Turkey R&amp;D as an AI Automation Long Term (Part-Time) Intern! Collaborate closely with product experts, solution architects, and software developers on exciting automation projects that have a global impact on telecom operators. You'll thrive in a vibrant, hands-on environment, gaining invaluable experience with cutting-edge technologies. Not only will you play a vital role in integrating AI into network automation, but you'll also enjoy being part of Nokia's culture that emphasizes innovation and teamwork.As an AI Automation Long Term (Part-Time) Intern, you will play a vital role in developing AI chatbots and automation projects, focusing on network performance monitoring and troubleshooting. This internship offers a unique opportunity to contribute to groundbreaking solutions that enhance connectivity and improve lives worldwide, all while helping shape a more productive and inclusive future.
 
 
 
 How You Will Contribute And What You Will Learn
 
 
 
 <ul>
 <li>
 Contribute to the Development of Large Language Model-based Generative AI Chatbots
 </li>
 <li>
 Develop Care-related Network Monitoring Tools/use-cases, Case Handling Automation/Log Analytics-related automation features
 </li>
 <li>
 Work hands-on with code to develop cloud-native analytics use-cases, which may include big data processing, machine learning, including prediction/clustering problems and robotics process automation.
 </li>
 <li>
 Perform &amp; contribute full-stack development activities related to tools developed in-house
 </li>
 <li>
 Design and develop of Python scripts to support various analytics needs
 </li>
 <li>
 Automate recurrent data processing, analysis &amp; visualization tasks that will be further used by hundreds of care engineers worldwide
 </li>
 <li>
 Perform testing activities on the new developments
 
 
 </li>
 </ul>
 
 Key Skills And Experience
 
 
 
 
 You have:
 
 
 
 <ul>
 <li>
 Student or new graduate in a BS/MS: Computer Engineering / Software Engineering / Electrics and Electronics Engineering / Data Engineering
 </li>
 <li>
 Excellent English skills: both verbal and written, with native Turkish language skills.
 </li>
 <li>
 Passion for AI with a demonstrated background in AI development.
 </li>
 <li>
 Proficiency in Python programming language.
 
 
 </li>
 </ul>
 
 You can have :
 
 
 
 <ul>
 <li>
 Large Language Models, ChatGPT, Open Source LLM Models (ex: LLama3, Mixtral, &hellip;), Generative AI, RAG (Retrieval Augmented Generation)
 </li>
 <li>
 Experience of relational (ex: MySQL, PostgreSQL, Oracle) and non-relational (ex: MongoDB, Elasticsearch, OpenTSDB) DBMS and experience in writing SQL or NoSQL queries.
 </li>
 <li>
 Knowledge of web front-end technologies (HTML, CSS, JavaScript, React.js)
 </li>
 <li>
 AI/ML: Implementing deep learning models using open source frameworks such as Keras andTensor Flow, etc.
 </li>
 <li>
 Using Linux operating system
 
 
 </li>
 </ul>
 
 About Us
 
 
 
 
 Come create the technology that helps the world act together
 
 
 
 Nokia is committed to innovation and technology leadership across mobile, fixed and cloud networks. Your career here will have a positive impact on people&rsquo;s lives and will help us build the capabilities needed for a more productive, sustainable, and inclusive world.
 
 
 We challenge ourselves to create an inclusive way of working where we are open to new ideas, empowered to take risks and fearless to bring our authentic selves to work
 
 
 
 What we offer
 
 
 
 Nokia offers continuous learning opportunities, well-being programs to support you mentally and physically, opportunities to join and get supported by employee resource groups, mentoring programs and highly diverse teams with an inclusive culture where people thrive and are empowered.
 
 
 
 Nokia is committed to inclusion and is an equal opportunity employer
 
 
 
 Nokia has received the following recognitions for its commitment to inclusion &amp; equality:
 
 
 <ul>
 <li>
 One of the World&rsquo;s Most Ethical Companies by Ethisphere
 </li>
 <li>
 Gender-Equality Index by Bloomberg
 </li>
 <li>
 Workplace Pride Global Benchmark
 
 
 </li>
 </ul>
 At Nokia, we act inclusively and respect the uniqueness of people. Nokia&rsquo;s employment decisions are made regardless of race, color, national or ethnic origin, religion, gender, sexual orientation, gender identity or expression, age, marital status, disability, protected veteran status or other characteristics protected by law.
 
 
 We are committed to a culture of inclusion built upon our core value of respect.
 
 
 Join us and be part of a company where you will feel included and empowered to succeed.
</div>

AI Automation Long Term (Part-time) Intern

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Bilgisayarlı Görü Mühendisi

AI Automation Long Term (Part-time) Intern