fullstack engineer

mechanical engineer

machine learning engineer

TRB 360

<div>
 
 
 Senior Software Developer
 
 
 
 
 
 
 
 Artificial Intelligence (AI) Specialist
 
 
 
 
 
 
 
 We are seeking a AI Specialist for our company operating in the oil and gas sector.
 
 
 
 
 
 
 
 Location: &Idot;stanbul- Ankara
 
 
 
 
 
 
 
 Role
 
 
 
 
 
 
 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.
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python, and enthusiasm for learning new languages when needed
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain)
 </li>
 <li>
 Strong understanding of the ML model lifecycle, API-based architectures, and cloud-native deployment
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate complex technical ideas clearly
 </li>
 <li>
 Experience with software implementation
 </li>
 <li>
 Strong background in mathematical modeling, operations research, and statistical approaches
 </li>
 <li>
 Strong background in time series models
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design and implement AI solutions using machine learning (ML), deep learning, and time series architectures
 </li>
 <li>
 Build solutions with generative AI (GenAI) tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)
 </li>
 <li>
 Translate business requirements into scalable AI-driven systems and MVPs (Minimum Viable Products)
 </li>
 <li>
 Collaborate with data engineers, product managers, and software developers
 </li>
 <li>
 Stay up-to-date with emerging AI trends and apply them to drive innovation
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 
 
 
 
 <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).
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.
 </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.
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence (AI) Specialist (Senior) İstanbul-Ankara

TÜRİB | Türkiye Ürün İhtisas Borsası

<div>
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree or higher in Computer Science/Engineering or similar disciplines
 </li>
 <li>
 2+ years of experience in Machine Learning, Data Science, Analytics and/or Statistics
 </li>
 <li>
 High level proficiency in Python and SQL
 </li>
 <li>
 Experience in ML application development experience by Python which includes data pipeline creation, feature engineering, model selection and validation, hyper parameter optimization, application development and deployment
 </li>
 <li>
 Excellent software design, problem solving and debugging skills
 </li>
 <li>
 Hands-on experience in defining and analyzing large, complex datasets
 </li>
 <li>
 Ability to use data visualization tools effectively to aid understanding and to communicate finding
 </li>
 <li>
 Ability to work closely with other scientists or software engineers to develop the best technical design and approach for new analytical products.
 </li>
 <li>
 Have a hypothesis-driven, scientific approach to problems
 </li>
 <li>
 Excellent communication skills
 </li>
 <li>
 Ability to think analytically
 </li>
 </ul>
 
 
 
 
 
 Job Description
 
 
 <ul>
 <li>
 Coordinate with multidisciplinary and diverse project stakeholders to transform data analytics into AI goals and modeling approaches
 </li>
 <li>
 Performing statistical analyzes on data sets
 </li>
 <li>
 Developing and validating analytical models and ensuring that the models developed within the scope of business needs are applied to the customer
 </li>
 <li>
 Testing existing models and analyzing and correcting detected errors
 </li>
 <li>
 Writing the documents related to the developed analytical products
 </li>
 <li>
 Trying new models and approaches by learning continuously
 </li>
 <li>
 Coordinate with multidisciplinary and diverse project stakeholders to transform data analytics
 </li>
 <li>
 Ensuring the transfer of experience within the team
 </li>
 </ul>
 
 
</div>

Data Scientist

Trilogy

<div>
 In the world of EdTech, the quest for engaging, personalized educational content is more pressing than ever. With countless generic learning tools flooding the market, making a mark is essential. Studies show that when educational resources fail to connect or adapt to individual learning styles, student engagement plummets, widening the gap in effective learning. Educators are then left grappling with the challenge of delivering high-quality, tailored instruction amidst limited time and resources.
 
 
 At LearnWith.AI, we are directly addressing this challenge by leveraging AI to transform content creation. Our mission goes beyond developing AI tools; we're building AI-driven systems that produce dynamic, tailored learning materials. Imagine an AI-powered 'Second Brain' for subjects like Science or History&mdash;an intelligent repository that crafts engaging, adaptive content on a large scale. This pioneering approach not only sets us apart in a saturated market but also reimagines AI's role in education, making learning more accessible, effective, and enjoyable.
 
 
 This position transcends traditional AI engineering roles. You'll move beyond mere coding and abstract model development to lead the transformation of student learning through AI-powered workflows that deliver truly personalized experiences. This opportunity is not for those seeking routine tasks or minor enhancements&mdash;it's for ambitious innovators ready to harness cutting-edge technology for tangible, real-world impact.
 
 
 As an integral part of our team, you'll architect AI-driven educational tools with the potential to revolutionize the learning landscape. By using LLMs as domain experts, you'll create contextual knowledge packs and intelligent learning assistants, ensuring our AI generates content that is both meaningful and powerful. If you're thrilled by the prospect of using AI to revolutionize education and eager to lead projects that stretch the boundaries of possibility, we'd love to connect with you.
 
 
 
 What You Will Be Doing
 
 
 
 <ul>
 <li>
 Designing AI-Driven Workflows: Seamlessly integrating diverse AI tools, crafting prompts, and refining workflows based on feedback from experts and users.
 </li>
 <li>
 Building Context Packs and Second Brains: Leveraging LLMs as domain experts to craft and sustain documents that embody knowledge and unique organizational insights.
 </li>
 <li>
 Creating and implementing data structures that provide contextual support for business logic, ensuring data models are efficient and scalable.
 
 
 </li>
 </ul>
 
 Artificial Intelligence Engineer Key Responsibilities
 
 
 
 <ul>
 <li>
 Enable LearnWith.AI to stand out by creating engaging and personalized educational content using AI tools.
 
 
 </li>
 </ul>
 
 Basic Requirements
 
 
 
 <ul>
 <li>
 Minimum of 4 years of experience as a software engineer.
 </li>
 <li>
 Professional experience integrating LLMs into a software product (experience with basic chatbots or coding assistants is insufficient).
 </li>
 <li>
 A demonstrable passion for EdTech.
 
 
 </li>
 </ul>
 
 About LearnWith.AI
 
 
 
 LearnWith.AI is an edtech startup that leverages AI and subject matter experts to cultivate a new way of learning. Our unique approach leverages 50+ years of learning science, cutting-edge data analytics and AI-powered coaching. In doing so, we can help students learn more, learn faster, and learn better - and have fun while doing it. We are a remote-first company that hires globally via Crossover.
 
 
 There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!
 
 
 
 Working with us
 
 
 
 This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover as a Contractor of Record. The compensation level for this role is $100 USD/hour, which equates to $200,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.
 
 
 Crossover Job Code: LJ-5532-TR-Ankara-ArtificialInte.010
 
 
</div>

Artificial Intelligence Engineer, LearnWith.AI (Remote) - $200,000/year USD

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

Milsoft Software Technologies

<div><div>MilSOFT / Ankara
<div>Yay&#305;n Tarihi: 5.11.2025</div>
<div><div>&Ccedil;al&#305;&#351;ma Yeri: Yerinde</div></div>
<div>We were the first company in Europe that earned the highestlevel of Capability Maturity Model Integration (CMMI 5) which is accomplishedonly by the few companies around the world.

We are the only company in the Turkish Defense Industry that hasbeen appraised at CMMI Maturity Level 5 by implementing Agile practices

We as MilSOFT, continuously improve our genuine technology andto be the best in our field.

In our field, we dedicated to create the best career developmentand learning resources as our principle.

In that international contest we invite those who areself-confident, has believe in success, wants to take the success of theTurkish engineers to new horizons, are interested in providing real engineeringsolutions to projects that are issued with using the latest technologies.

MilSOFT, first CMMI-Level 5 Company in Turkey, invites talented&ldquo;Quality Assurance Engineer(s)&rdquo; that will join the team that executesall CMMI Level 5 related activities in an agile manner.

Quality Assurance Engineer (QA-2505)

What you will be doing:
<ul><li>Being responsible to the Quality Assurance Manager/QM Directorfor all quality assurance activities.</li></ul>
<ul><li>Defining QA requirements in proposal phase and developingQuality Plan and Audit Schedule for each project,</li></ul>
<ul><li>Performing internal process and subcontractor audits according,</li></ul>
<ul><li>Participate in peer review activities and review projectartifacts,</li></ul>
<ul><li>Providing agile coaching</li></ul>
<ul><li>Witnessing test activities,</li></ul>
<ul><li>Collecting related metrics and reporting quality assuranceactivities to senior management and Customer,</li></ul>
<ul><li>Participating/Leading process improvement activities.</li></ul>
<ul><li>Participating/leading 3rd party external audits performed bycertification audits.</li></ul>
<ul><li>Interfacing with the customer on quality problems</li></ul>
<ul><li>Performing release verification.</li></ul>
<ul><li>Performing software installation</li></ul>
<ul><li>Delivering QA related trainings.</li></ul>
<ul><li>Managing enterprise risk management activities</li></ul>

Required Qualifications:

MUST:

a. Qualifications:
<ul><li>Bachelor&rsquo;s degree, in Software Engineering or Computer Scienceor Electrical &amp; Electronics Engineering or Industrial Engineering orrelated equivalent disciplines.</li></ul>

b. Experience:

 Practicalworking experience
<ul><li>in the field of quality management, quality assurance, andquality control activities for software intensive systems,</li></ul>
<ul><li>in ISO 9000 series standards and guidelines,</li></ul>
<ul><li>in process audits and product peer reviews</li></ul>

c. Skills:
<ul><li>Continuous Learner</li></ul>
<ul><li>Analytical thinking, analysis andproblem-solving,</li></ul>
<ul><li>Ability to work independently as well as collaboratively in ateam environment,</li></ul>
<ul><li>Being result oriented,</li></ul>
<ul><li>Willing to improve oneself.</li></ul>

Preferred Qualifications:

PREFERRED:
<ul><li>Hands-on experience in an agile environment,</li></ul>
<ul><li>Knowledge on DevOps practices,</li></ul>
<ul><li>Knowledge on CMMI, NATO AQAP 2110, AQAP 2210, AS 9100, ISO12207, DO178 standards,</li></ul>
<ul><li>Performing one of software engineering practices (requirementanalysis, design, coding, testing, configuration management, etc.) as a memberof development team,</li></ul>
<ul><li>Familiarity with C/C++ and Java Programming Languages,</li></ul>
<ul><li>Familiarity with UML and object oriented analysis and design,</li></ul>
<ul><li>Use of statistical process control techniques,</li></ul>
<ul><li>Working on business process management and modeling.</li></ul>

Candidates must be proficient in English. Military service mustbe completed or be deferred at least 2 years for male candidates. Workplace isin ODT&Uuml; Teknokent Ankara. Short listed candidates will be contacted only.</div></div></div>

Quality Assurance Specialist (QA-2505)

Yapı Kredi Teknoloji

<div>
 
 
 
 About:
 
 
 
 
 Yap&inodot; Kredi Technology is a technology company that produces innovative, high quality, and high value-added products and solutions in the finance sector. With more than 2.000 employees, it aims to create products that will shape the sector for Yap&inodot; Kredi Bank and to be the undisputed leader in the field of technology by using modern architectural systems and cloud technologies. It also contributes to the development of new and exemplary products for the sector by using natural language processing, machine learning, artificial intelligence, and data mining technologies with its R&amp;D team.
 
 
 
 
 
 
 
 Who We Are:
 
 
 
 
 At Yap&inodot; Kredi Technology, we research with passion, wonder as we learn, and implement innovations that shape the future together. We take responsibility from the first day with our expert colleagues and work with all our strength for pioneering applications. We make quick decisions and take action. We quickly adapt to innovations and changes.
 
 
 
 
 
 
 
 What Do We Offer:
 
 
 
 
 📌 Opportunity to work in hybrid model
 
 
 💻Opportunity to work in Ko&ccedil; Group Community Companies' offices
 
 
 🌴Chance to discover the natural wonders and amenities offered at Ko&ccedil; Toplululu&gbreve;u Spor Kul&uuml;b&uuml; (KTSK)
 
 
 🚀Career development opportunities in a structured technology career path
 
 
 💫 Opportunity to benefit from BizClub and Ko&ccedil;Ailem privileges exclusive to Yap&inodot; Kredi Technology employees
 
 
 🤝Company-contributed individual retirement insurance
 
 
 🎂 Birthday off day
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Graduated from Computer Engineering, Electrical &amp; Electronics Engineering or similar departments of universities,
 </li>
 <li>
 Between 2 years and 6 years of experience in the Information Technologies sector,
 </li>
 <li>
 Experienced in technical problem solving and troubleshooting
 </li>
 <li>
 Able to communicate effectively with business units and care about customer satisfaction,
 </li>
 <li>
 Solution-oriented and prone to teamwork,
 </li>
 <li>
 Strong analytical perspective, planning and follow-up skills, innovative,
 </li>
 <li>
 Experienced in writing documents, processes and procedures,
 </li>
 <li>
 Good level of English proficiency.
 </li>
 </ul>
 
 
 
 
 
 Job Description:
 
 
 <ul>
 <li>
 Ensure the continuity and high availability of infrastructure systems managing investment operations (order routing, trading platforms, market data services, etc.),
 </li>
 <li>
 Manage and execute integration processes with domestic and international exchange systems,
 </li>
 <li>
 Conduct analysis and optimization studies on low-latency system architectures,
 </li>
 <li>
 Regularly perform system performance measurements (benchmarking, monitoring) and provide improvement recommendations,
 </li>
 <li>
 Lead incident management processes and perform root cause analysis of outages and issues,
 </li>
 <li>
 Ensure compliance with regulations and information security standards,
 </li>
 <li>
 Collaborate closely with development teams and IT infrastructure units,
 </li>
 <li>
 Experienced in financial system infrastructures, particularly trading and investment platforms,
 </li>
 <li>
 Deep knowledge of Linux/Windows system administration, network topologies, firewalls, and data center architectures,
 </li>
 <li>
 Proficient in market protocols such as FIX/FAST, ITCH/OUCH,
 </li>
 <li>
 Experienced with monitoring tools (Zabbix, Grafana, etc.) and log management systems (ELK, Splunk, etc.
 </li>
 </ul>
 
 
 
 
 
 
 Candidate Selection Process:
 
 
 
 
 Our recruitment process for all positions typically encompasses technical interviews, director assessments, competency evaluations, and personality tests. We will extend our offer to candidates who have successfully completed a positive evaluation process.
 
 
 
 
 
 
 If you would like to get to know more about Yap&inodot; Kredi Technology, you can follow us!
 
 🚀
 
 
 
 
 
 https://www.ykteknoloji.com.tr
 
 
 https://medium.com/yapi-kredi-teknoloji
 
 
 
 
 
 
 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu kapsam&inodot;nda ki&scedil;isel verilerinizin i&scedil;lenmesinden do&gbreve;an haklar&inodot;n&inodot;za ve bu konudaki detayl&inodot; bilgiye
 
 
 https://kariyerim.yapikredi.com.tr/Account/StaticKvkk
 
 
 adresinde yer alan ayd&inodot;nlatma metnimizden ula&scedil;abilirsiniz.
 
 
</div>

IT Operation Specialist "Domestic Subsidiaries Infrastructure and Technical Support"

Explore 73+ Machine learning engineer in Ankara this November. Find roles across top companies and apply now to boost your career.

73 machine learning engineer jobs IN Ankara

Artificial Intelligence (AI) Specialist (Senior) İstanbul-Ankara

Data Scientist

Artificial Intelligence Engineer, LearnWith.AI (Remote) - $200,000/year USD

Senior Data Science Manager

Senior Data Science Manager

Quality Assurance Specialist (QA-2505)

IT Operation Specialist "Domestic Subsidiaries Infrastructure and Technical Support"