principal ml/ai software engineer Jobs in Ankara

principal ml/ai software engineer

lead software engineer

principal ml ai software engineer

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>

Trustlab

<div>About TrustLab
TrustLab deploys custom LLMs as part of its AI solution for Enterprise customers. We&rsquo;re a fast-moving, venture-backed startup founded by senior leaders from Google, YouTube, TikTok, and Reddit, creating solutions for online safety, reputation and risk management. Our approach for human-in-the-loop AI solutions for content understanding is industry leading as a technology and business solution. We are looking for experienced and creative engineers to help us push the boundaries with emerging LLM technology applications, and leadership to deploy and scale our technology for customer use cases at scale.
Job Title: Senior Full Stack Engineer (Python/React) &ndash; Ankara<h3 class="jobSectionHeader">
About this role:</h3>
We&rsquo;re looking for a Senior Full Stack Engineer with a deep sense of ownership. This role is ideal for someone who thrives in fast-paced environments and wants to help define both the product and the technical direction of our platform. You'll work across the stack, focused both on building rich, performant, and intuitive interfaces that help users take action on complex, large-scale safety data, while designing the robust backend systems and APIs that power these experiences end-to-end.
You&rsquo;ll join a small, mission-driven team where your contributions have a direct impact on real-world issues.
Location: Ankara, Turkiye 
Experience: 3+ years 
Employment Type: Full-time 
 
What You&rsquo;ll Do:<ul><li>
Drive the development of end-to-end product features, working across both frontend and backend systems.</li><li>
Build clean, scalable backend services using Python (e.g., Django, FastAPI, or Flask).</li><li>
Develop rich, performant frontend applications using React, TypeScript, and modern tooling.</li><li>
Design and implement intuitive interfaces and workflows that empower analysts and reviewers working on online safety.</li><li>
Collaborate closely with product, design, data, and ML teams to ship impactful features quickly and iteratively.</li><li>
Own projects from start to finish, ensuring reliability, usability, and performance at every layer of the stack.</li><li>
Drive best practices in architecture, code quality, and testing across both frontend and backend systems.</li></ul><h3 class="jobSectionHeader">
What We&rsquo;re Looking For:</h3><ul><li>
3+ years of professional software development experience.</li><li>
Strong experience in backend development in Python with frameworks like Django, FastAPI, or Flask.</li><li>
Strong experience building frontend applications with React and TypeScript.</li><li>
Strong UX sensibility and attention to detail in implementing clean, user-friendly interfaces.</li><li>
Comfort working independently in fast-changing or ambiguous environments.</li><li>
A collaborative mindset and passion for mission-driven work.</li><li>
Based in Ankara, Turkiye, some in-office time is required.</li></ul><h3 class="jobSectionHeader">
Bonus Points:</h3><ul><li>
Experience in AWS</li></ul><h3 class="jobSectionHeader">
Opportunities &amp; Perks:</h3><ul><li>
Work on cutting-edge AI technologies shaping the future of online safety.</li><li>
Collaborate with a multidisciplinary team tackling some of the most challenging problems in content moderation.</li><li>
Competitive compensation, comprehensive benefits, and opportunities for professional growth.</li><li>
Flexible hybrid work culture with opportunities for in-person collaboration in our Ankara office located in Maidan.</li></ul></div>

Senior Full Stack Engineer (Python/React) – Ankara

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)

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

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

Explore 104+ Principal ml ai software engineer in Ankara this December. Find roles across top companies and apply now to boost your career.

104 principal ml ai software engineer jobs IN Ankara

Principal ML/AI Software Engineer

Principal ML/AI Software Engineer

Senior Full Stack Engineer (Python/React) – Ankara

Quantitative AI Developer (Istanbul- Ankara)

Senior Data Science Manager

AI Automation Long Term (Part-time) Intern

AI Automation Long Term (Part-time) Intern