medical science liaison Jobs in Istanbul Turkey

medical science liaison

accm assistant

associate scientist - istanbul Jobs in Istanbul Turkey

associate scientist - istanbul

associate, credit analyst Jobs in Istanbul Turkey

associate, credit analyst

chapter lead data scientist Jobs in Istanbul Turkey

chapter lead data scientist

ai science associate director

Turkcell

<div>
 
 Turkcell olarak yeteneklerimize e&scedil;siz insan deneyimi ya&scedil;atarak, de&gbreve;er yaratan s&uuml;rd&uuml;r&uuml;lebilir bir organizasyon in&scedil;a etmeyi ve i&scedil;veren markam&inodot;z&inodot; zirveye ta&scedil;&inodot;may&inodot; hedefliyoruz. Bu hedef do&gbreve;rultusunda benimsedi&gbreve;imiz de&gbreve;erlerimizi i&scedil; yap&inodot;&scedil; bi&ccedil;imlerimize yans&inodot;t&inodot;yoruz.
 
 
 
 
 
 
 
 Turkcell&rsquo;de Neye De&gbreve;er Veriyoruz?
 
 
 
 
 
 &Idot;nsan Odakl&inodot;l&inodot;k:
 
 E&scedil;siz insan deneyimi olu&scedil;turmak amac&inodot;yla uygulamalar&inodot;m&inodot;z&inodot;n merkezinde insan&inodot; konumluyor, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z&inodot;n potansiyelini en &uuml;st d&uuml;zeye &ccedil;&inodot;karmay&inodot; ve onlar&inodot;n yeteneklerini geli&scedil;tirmeyi hedefliyoruz.
 
 
 
 Yenilik:
 
 &Idot;nsanlar&inodot;n hayat&inodot;nda fark yaratan yenilik&ccedil;i &ccedil;&ouml;z&uuml;mler &uuml;retmek, fikir ve teknolojileri ke&scedil;fetmek i&ccedil;in tutkulu bir &scedil;ekilde &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🚀
 
 
 
 
 M&uuml;kemmellik:
 
 Dahil oldu&gbreve;umuz ve temas etti&gbreve;imiz her noktada m&uuml;kemmelliyeti hedefliyor, kendimize y&uuml;ksek standartlar belirliyor, ola&gbreve;an&uuml;st&uuml; sonu&ccedil;lar elde ediyoruz.
 
 🎯👌🏼
 
 
 
 
 &Idot;&scedil; Birli&gbreve;i:
 
 Ba&scedil;ar&inodot;n&inodot;n anahtar&inodot; olarak birlikte &ccedil;al&inodot;&scedil;may&inodot;, sayg&inodot; ve &scedil;effafl&inodot;k k&uuml;lt&uuml;r&uuml;n&uuml; te&scedil;vik ediyoruz. 👥🔗🧩
 
 
 
 M&uuml;&scedil;teri Odakl&inodot;l&inodot;k:
 
 M&uuml;&scedil;terilerimizin ihtiya&ccedil;lar&inodot;n&inodot; merkeze koyarak ola&gbreve;an&uuml;st&uuml; m&uuml;&scedil;teri deneyimleri sunmay&inodot; hedefliyoruz. 🤝🖇️
 
 
 
 S&uuml;rd&uuml;r&uuml;lebilirlik:
 
 M&uuml;&scedil;terilerimiz, &ccedil;al&inodot;&scedil;anlar&inodot;m&inodot;z ve d&uuml;nyam&inodot;z i&ccedil;in s&uuml;rd&uuml;r&uuml;lebilir bir gelecek amac&inodot;yla &ccedil;al&inodot;&scedil;&inodot;yoruz.
 
 🌍
 
 
 
 
 
 
 
 
 Ne Bekliyoruz?
 
 
 
 <ul>
 <li>
 Veri Bilimi, Bilgisayar Bilimleri, Yapay Zeka veya ilgili alanlarda tercihen doktora (PhD) derecesine sahip olmak; ancak y&uuml;ksek lisans (MSc) derecesi bulunan ve ilgili alanda g&uuml;&ccedil;l&uuml; uygulamal&inodot; deneyim sahibi adaylar da de&gbreve;erlendirilecektir.
 </li>
 <li>
 Yapay Zeka / Makine &Ouml;&gbreve;renmesi (AI/ML) alan&inodot;nda en az 7 y&inodot;l, ekip y&ouml;netimi veya teknik liderlik rollerinde en az 3 y&inodot;l profesyonel &ccedil;al&inodot;&scedil;ma deneyimi olan,
 </li>
 <li>
 Deep Learning, Transformers, B&uuml;y&uuml;k Dil Modelleri (LLM) ve di&gbreve;er Generative AI mimarileri konusunda derin teorik bilgi ve uygulamal&inodot; uzmanl&inodot;&gbreve;&inodot; olan,
 </li>
 <li>
 Supervised Fine-Tuning (SFT), Reinforcement Learning (RL) gibi y&ouml;ntemlerde pratik deneyimi olan,
 </li>
 <li>
 PyTorch framework&rsquo;&uuml; konusunda ileri d&uuml;zeyde bilgi ve deneyime sahip,
 </li>
 <li>
 Python programlama dili ve Numpy, Pandas, Scikit-learn gibi veri bilimi k&uuml;t&uuml;phanelerine hakimiyeti olan,
 </li>
 <li>
 Karma&scedil;&inodot;k teknik konular&inodot; farkl&inodot; hedef kitlelere etkili bir &scedil;ekilde aktarabilme yetene&gbreve;i ve g&uuml;&ccedil;l&uuml; ileti&scedil;im becerilerine sahip.
 </li>
 </ul>
 
 
 
 Tercihen;
 
 
 
 <ul>
 <li>
 MLOps prensipleri ve ara&ccedil;lar&inodot; konusunda bilgi ve uygulama deneyimi olan,
 </li>
 <li>
 B&uuml;y&uuml;k &ouml;l&ccedil;ekli AI/ML modelleri geli&scedil;tirme, e&gbreve;itme ve da&gbreve;&inodot;t&inodot;ma alma (deployment) konusunda deneyimli,
 </li>
 <li>
 NeurIPS, ICML, ICLR, CVPR gibi sayg&inodot;n AI/ML konferanslar&inodot;nda yay&inodot;mlanm&inodot;&scedil; akademik &ccedil;al&inodot;&scedil;malar&inodot; olan,
 </li>
 <li>
 Start-up veya h&inodot;zl&inodot; b&uuml;y&uuml;yen teknoloji &scedil;irketlerinde &ccedil;al&inodot;&scedil;ma deneyimi olan,
 </li>
 <li>
 &Idot;ngilizce dilinde ak&inodot;c&inodot; s&ouml;zl&uuml; ve yaz&inodot;l&inodot; ileti&scedil;im becerisi.
 </li>
 </ul>
 
 
 
 
 
 
 Turkcell&rsquo;de AI Science Associate Director Rol&uuml; Ne Yapar?
 
 
 
 <ul>
 <li>
 &Scedil;irketin yapay zeka modellerinden en y&uuml;ksek performans&inodot; al&inodot;nmas&inodot;n&inodot; sa&gbreve;lamak &uuml;zere AI Science ekibine liderlik eder,
 </li>
 <li>
 Saf akademik &ccedil;al&inodot;&scedil;malardan ziyade, i&scedil; hedeflerine do&gbreve;rudan katk&inodot; sa&gbreve;layan uygulamal&inodot; ara&scedil;t&inodot;rmalara (applied research) odaklan&inodot;r,
 </li>
 <li>
 Ba&scedil;ta Generative AI olmak &uuml;zere, en g&uuml;ncel AI modellerinin se&ccedil;imi, benchmark edilmesi, fine-tuning stratejilerinin belirlenmesi ve model performans&inodot;n&inodot;n maksimize edilmesi s&uuml;re&ccedil;lerini y&ouml;netir,
 </li>
 <li>
 AI &Uuml;r&uuml;n Y&ouml;netimi ve Yaz&inodot;l&inodot;m M&uuml;hendisli&gbreve;i ekipleriyle yak&inodot;n i&scedil; birli&gbreve;i i&ccedil;inde &ccedil;al&inodot;&scedil;arak, teoriyi prati&gbreve;e d&ouml;n&uuml;&scedil;t&uuml;ren, pragmatik ve sonu&ccedil; odakl&inodot; bir ara&scedil;t&inodot;rma k&uuml;lt&uuml;r&uuml; olu&scedil;turur,
 </li>
 <li>
 AI Science ekibine teknik ve stratejik liderlik sa&gbreve;lar; ekip &uuml;yelerine mentorluk yaparak bireysel geli&scedil;imlerini destekler,
 </li>
 <li>
 &Scedil;irketin i&scedil; hedefleri ve &uuml;r&uuml;n ihtiya&ccedil;lar&inodot;na uygun AI/ML modellerini (&ouml;zellikle LLM'ler ve di&gbreve;er Generative AI modelleri) belirlemek i&ccedil;in ara&scedil;t&inodot;rma s&uuml;re&ccedil;lerini y&ouml;netir,
 </li>
 <li>
 Farkl&inodot; kullan&inodot;m senaryolar&inodot; i&ccedil;in model performans&inodot;n&inodot; objektif &scedil;ekilde &ouml;l&ccedil;en kapsaml&inodot; benchmark sistemleri kurar ve s&uuml;rd&uuml;r&uuml;r,
 </li>
 <li>
 Generative AI alan&inodot;ndaki g&uuml;ncel geli&scedil;meleri takip ederek, en uygun stratejilerle bu teknolojilerden maksimum fayda sa&gbreve;lar,
 </li>
 <li>
 Model performans&inodot;n&inodot; art&inodot;rmak amac&inodot;yla SFT, RLHF, LoRA, RL, Prompt Engineering, RAG gibi y&ouml;ntemler aras&inodot;nda en etkili yakla&scedil;&inodot;m&inodot; belirler ve uygular,
 </li>
 <li>
 AI ekipleriyle birlikte &ccedil;al&inodot;&scedil;arak i&scedil; problemlerini do&gbreve;ru makine &ouml;&gbreve;renmesi problemlerine d&ouml;n&uuml;&scedil;t&uuml;r&uuml;r ve &ouml;l&ccedil;eklenebilir &ccedil;&ouml;z&uuml;mler &uuml;retir,
 </li>
 <li>
 Ekip taraf&inodot;ndan elde edilen ara&scedil;t&inodot;rma sonu&ccedil;lar&inodot; ve model metriklerini teknik olmayan payda&scedil;lara a&ccedil;&inodot;k ve anla&scedil;&inodot;l&inodot;r bi&ccedil;imde sunar,
 </li>
 <li>
 Yenilik&ccedil;i, pragmatik ve i&scedil; odakl&inodot; bir ara&scedil;t&inodot;rma k&uuml;lt&uuml;r&uuml; olu&scedil;turur ve bu k&uuml;lt&uuml;r&uuml; ekip i&ccedil;inde s&uuml;rd&uuml;r&uuml;r.
 </li>
 </ul>
 
 
 
 
 
 Yan Haklar ve Faydalar
 
 
 
 Ekibimizin bir &uuml;yesi olarak, rekabet&ccedil;i bir &uuml;cret, esnek &ccedil;al&inodot;&scedil;ma d&uuml;zenlemeleri, kariyer geli&scedil;imi ve ilerleme f&inodot;rsatlar&inodot; gibi bir dizi yan hak ve fayda ile bulu&scedil;ma f&inodot;rsat&inodot; yakalayacaks&inodot;n. Detaylara "
 
 https://bit.ly/TurkcellTKusagi
 
 &rsquo;&rsquo; &uuml;zerinden ula&scedil;abilirsin. 🎁▶️
 
 
 
 
 
 
 *Turkcell bir e&scedil;it f&inodot;rsat i&scedil;verenidir ve &inodot;rka, renge, dine, cinsiyete, ulusal k&ouml;kene, etnik k&ouml;kene, ya&scedil;a, fiziksel g&ouml;r&uuml;n&uuml;&scedil;e veya duruma, medeni durumuna, askerlik durumuna bak&inodot;lmaks&inodot;z&inodot;n, t&uuml;m nitelikli ba&scedil;vuru sahiplerini istihdam i&ccedil;in de&gbreve;erlendirmeye al&inodot;r.
 
 
</div>

AI SCIENCE ASSOCIATE DIRECTOR

KPMG Türkiye

<div>
 
 KPMG is a global network of professional firms providing Audit, Tax and Advisory services. We operate in 142 countries, have more than 275,000 people working in member firms around the World.
 
 KPMG
 
 is the chosen business partner for many of the world&rsquo;s leading organizations.
 
 
 
 
 
 At KPMG, you&rsquo;ll join a team of diverse and dedicated problem solvers, connected by a common cause turning insight into opportunity for clients and communities around the world
 
 .
 
 We place a high value on providing our employees with a supportive and collaborative workplace where people are valued and empowered. In our team you can make a difference.
 
 
 
 
 
 We are now taking applications for Transaction Services (Financial Due Diligence) Manager / Associate Director in our Deal Advisory team.
 
 
 
 
 
 
 The opportunity
 
 
 
 
 
 
 
 In every economic environment, there are opportunities to create, enhance, and preserve value. Our Deal Advisory professionals help buyers, sellers, private equity investors, governments, and lenders in developing and executing on their value strategies. Our clients are typically private corporates, private equity funds, as well as large public companies. Our people are motivated self-starters with expertise in finance, valuation, tax, accounting and financial reporting. Our network is global.
 
 
 
 
 
 KPMG's Deal Advisory practice is continuing to grow and we are currently looking for professionals at the Manager / Associate Director level for Transaction Services (Financial Due Diligence) team. Come and join us.
 
 
 
 
 
 We welcome applications from candidates based in Istanbul and other cities across Turkey.
 
 
 
 
 
 
 What You Will Do
 
 
 
 
 
 
 
 Working in multi-disciplinary teams, you will apply your professional and technical skills on a wide variety of transactions and at different stages of the transaction cycle. As Manager / Associate Director, Transaction Services, you will
 
 
 
 
 <ul>
 <li>
 Manage and deliver financial due diligence projects,
 </li>
 <li>
 Focus on analyzing financial data and identifying key trends behind the performance of a business, discussing business performance and forecast assumptions with senior team management, and lead to write reports that set out our findings and recommendations around the key financial and business issues and will provide value to the client through insights, factual conclusions and advice. Review and analysis of historical trading, cash flow and balance sheets,
 </li>
 <li>
 Perform financial analysis, reading financial tables of a company and identifying KPIs of various sectors,
 </li>
 <li>
 Review of the adequacy of working capital facilities, including consideration of financing limits, term and covenants,
 </li>
 <li>
 Reporting of potential key issues for our client including identification of risk or price affecting consideration,
 </li>
 <li>
 Develop, train and coach junior team members through challenging and meaningful opportunities,
 </li>
 <li>
 Deliver exceptional client service by maximizing results and driving high performance from people, while also fostering collaboration across businesses and borders,
 </li>
 <li>
 Influence clients, teams and individuals positively, leading by example and establishing confident relationships as a representative of KPMG Deal Advisory,
 </li>
 <li>
 Understand key objectives for clients and KPMG, and align people to them to set appropriate priorities and direction.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor's degree in accounting, finance, economics, or business from an accredited ,college/university,- preferably an MSc or MA degree from an accredited college/university.
 </li>
 <li>
 5-8 years of experience with a combination of transaction services (financial due diligence), audit, internal audit, financial reporting etc. experience,
 </li>
 <li>
 Strong accounting/audit background preferably in Big4,
 </li>
 <li>
 Professional report writing and presentation skills to assist in preparing pitch documents e.g. proposals and presentations,
 </li>
 <li>
 Excellent verbal and written communication skills in English,
 </li>
 <li>
 Proven ability to deliver the full cycle of project management and manage engagement teams and client deliverables, applying your professional and technical skills on a wide variety of transactions,
 </li>
 <li>
 Experience with project problem diagnosis, solution development, client communications, facilitation of decision making, documentation, managing client expectations and team leadership.
 </li>
 </ul>
 
 
</div>

Transaction Services (Financial Due Diligence) Manager / Associate Director

Parantez Reklamcılık

Pozisyon &Ouml;zetiAjans&#305;n kreatif s&uuml;re&ccedil;lerini y&ouml;netecek, markalar&#305;n g&ouml;rsel ileti&#351;im dilini olu&#351;turacak ve t&uuml;m tasar&#305;m&ndash;prod&uuml;ksiyon s&uuml;re&ccedil;lerine liderlik edecek deneyimli bir Senior Art Director ar&#305;yoruz.Sorumluluklar<ul><li>Markalar&#305;n g&ouml;rsel kimli&#287;ini olu&#351;turmak ve geli&#351;tirmek</li><li>Kampanya fikirleri, moodboard ve storyboard haz&#305;rlamak</li><li>Foto&#287;raf/video &ccedil;ekimlerinde art direction sa&#287;lamak</li><li>Tasar&#305;m ekibini y&ouml;netmek ve y&ouml;nlendirmek</li><li>Dijital i&ccedil;eriklerin (reklam, sosyal medya, kampanya g&ouml;rselleri) kreatif kalitesini takip etmek</li><li>M&uuml;&#351;teri toplant&#305;lar&#305;nda kreatif sunum yapmak</li><li>AI ve modern &uuml;retim ara&ccedil;lar&#305;n&#305; kreatif s&uuml;re&ccedil;lere entegre etmek</li></ul>Aranan Nitelikler<ul><li>Minimum 5 y&#305;l ajans veya marka taraf&#305; deneyimi</li><li>Adobe Creative Suite ve Figma h&acirc;kimiyeti</li><li>AI ara&ccedil;lar&#305;n&#305; kullanabilme (Midjourney, Runway, Firefly vb.)</li><li>G&uuml;&ccedil;l&uuml; bir kompozisyon, renk ve foto&#287;raf/video esteti&#287;i bilgisi</li><li>Ekip y&ouml;netimi ve proje takibi konusunda tecr&uuml;beli</li><li>&#304;leti&#351;imi g&uuml;&ccedil;l&uuml;, &ccedil;&ouml;z&uuml;m odakl&#305;, zaman y&ouml;netimi kuvvetli</li></ul>&Ccedil;al&#305;&#351;ma ModeliFull-time &ndash; &#304;stanbul&#304;&#351; T&uuml;r&uuml;: Tam zamanl&#305;

SENIOR ART DIRECTOR

Şişecam

<div>
 
 
 Sisecam was founded in 1935
 
 
 to establish Turkey&rsquo;s glass industry in line with the vision of
 
 
 Mustafa Kemal Atat&uuml;rk, a great leader respected worldwide. Today, Sisecam is a major global player in the fields of glass and chemicals
 
 
 . Sisecam is the only global company
 
 
 operating in all core areas of glass production &ndash;
 
 
 including flat glass, glassware, glass packaging, and glass fiber. Currently, Sisecam ranks among the world&rsquo;s top two manufacturers of glassware and the top five producers of glass packaging and flat glass.
 
 
 Sisecam
 
 
 is one of the three largest soda ash producers in the world
 
 
 and
 
 
 the world leader in chromium chemicals.
 
 
 
 
 Sisecam plays a leading role in the flat glass,
 
 
 glasswar
 
 e,
 
 glass packagin
 
 g,
 
 chemicals, automotive, glass fiber, mining, energ
 
 y
 
 
 
 an
 
 
 d recyclin
 
 g
 
 
 
 business lines. Sisecam operates production facilities in Germany, Italy, Bulgaria, Romania, Slovakia, Hungary, Bosnia-Herzegovina, Russia Federation, Georgia, Ukraine, Egypt, India, and the USA in addition to Turkey.
 
 
 
 
 Sisecam who takes firm steps towards its goal of becoming one of the world's top 3 manufacturers in its main fields of activity
 
 
 , with its competent human resources and smart technologies, and uninterruptedly continues to transform its digital infrastructure and culture by considering the future necessities. Sisecam who ha
 
 
 s 90 years of experience, more than 24 thousand employees, production activities in
 
 
 14 countries on four continents, and a sales network of more tha
 
 
 n 150 countri
 
 
 es, continues its growth journey in line with its
 
 
 "Global Excellen
 
 
 ce" strategy and wit
 
 
 h an inclusive approach that supports the development of company's entire ecosystem. Sisecam takes responsibility fo
 
 
 r protecting the planet, empowering society and transforming life with its CareForNext strate
 
 g
 
 
 
 y, which is compliant with and centered around the United Nations Sustainable Development Goals. Sisecam uses all its experience and competencies to promote sustainable development in every aspect.
 
 
 
 
 
 
 We are looking for an
 
 "
 
 
 AI Architect
 
 " to take part in &Scedil;i&scedil;ecam Headquarter located in Tuzla/&Idot;stanbul.
 
 
 
 
 
 The AI Architect is a pivotal strategic and technical leader who will be instrumental in bridging the gap between cutting-edge AI research and robust, scalable, production-ready solutions tailored for &Scedil;i&scedil;ecam's diverse business needs. This role is crucial for establishing the foundational architecture, best practices, and technological standards that will enable our data science team to deploy impactful AI solutions efficiently, securely, and reliably across the organization. This role will not only design systems but also critically assess, select, and integrate ready-to-use AI products and vendor solutions ('buy' strategy) alongside custom-built functionalities ('make' strategy). The ideal candidate would have the following qualifications:
 
 
 
 
 <ul>
 <li>
 BSc or MSc in Computer Science, Engineering, Artificial Intelligence, Data Science, or a related quantitative field.
 </li>
 <li>
 8+ years of progressive experience in software architecture, with at least 3-5 years specifically focused on designing and deploying large-scale AI/ML systems in production environments.
 </li>
 <li>
 Demonstrable experience architecting solutions involving Generative AI, Large Language Models (LLMs), prompt engineering, Retrieval Augmented Generation (RAG) patterns, or fine-tuning techniques.
 </li>
 <li>
 Proven experience in architecting and implementing MLOps frameworks and automated ML pipelines.
 </li>
 <li>
 Strong expertise with major cloud platforms (e.g., Microsoft Azure, AWS, GCP) and their respective AI/ML services.
 </li>
 <li>
 Proficiency in programming languages commonly used in AI/ML (e.g., Python) and experience with relevant ML frameworks (e.g., TensorFlow, PyTorch).
 </li>
 <li>
 Proven experience with evaluating, selecting, integrating, and managing third-party AI products, platforms, or cloud-native AI services.
 </li>
 <li>
 Exceptional leadership, mentorship, and communication skills, with the ability to inspire and guide a young, dynamic team.
 </li>
 <li>
 A strategic thinker with a pragmatic approach to problem-solving and a strong focus on delivering business value through both custom builds and strategic partnerships.
 </li>
 <li>
 Ability to work effectively in a cross-functional, highly collaborative environment.
 </li>
 <li>
 Passionate about fostering an innovative culture and continuous learning, particularly in the fast-evolving field of Generative AI.
 </li>
 </ul>
 
 
 
 
 
 JOB DESCRIPTION
 
 
 
 
 
 <ul>
 <li>
 Develop and maintain &Scedil;i&scedil;ecam&rsquo;s enterprise-wide AI architecture vision and roadmap, identifying key components, platforms, and integration points for scalable AI adoption.
 </li>
 <li>
 Strategic 'Buy vs. Make' Decisions: Lead the evaluation, selection, and integration of commercial off-the-shelf (COTS) AI products, platforms, and third-party vendor solutions, balancing these with custom-built components to optimize for speed, cost, and long-term maintainability.
 </li>
 <li>
 Generative AI Leadership: Define and champion the architectural strategy and roadmap for Generative AI (GenAI) adoption across &Scedil;i&scedil;ecam, identifying high-impact use cases and the necessary technical infrastructure for large language models (LLMs) and other generative capabilities.
 </li>
 <li>
 Design robust, scalable, secure, and performant end-to-end AI/ML systems, encompassing data ingestion, feature engineering, model training/evaluation, and deployment (real-time, batch, edge), monitoring, and retraining mechanisms.
 </li>
 <li>
 Architect scalable and secure solutions for Generative AI applications, including considerations for large language models (LLMs), prompt engineering, retrieval-augmented generation (RAG) patterns, fine-tuning strategies, and model safety.
 </li>
 <li>
 Establish and standardize MLOps (Machine Learning Operations) practices, pipelines, and automation to streamline the entire ML lifecycle from experimentation to production.
 </li>
 <li>
 Provide strong technical leadership and architectural guidance to the data science team, steering them towards best practices in model deployment, system resilience, performance optimization, responsible AI, and advanced GenAI solution patterns.
 </li>
 <li>
 Work closely with IT infrastructure, cybersecurity, operational technology (OT) teams, embed security best practices into all AI architectures from the outset, protecting sensitive data and preventing unauthorized access or manipulation of AI models, including IP and data handling for GenAI.
 </li>
 </ul>
 
 
</div>

AI Architect

Senkrondata AI

<div>
 
 
 Company Description
 
 
 
 
 
 
 Senkrondata AI supports global companies with actionable competitive intelligence that drives market share growth. Operating in over 20 countries, Senkrondata AI is rapidly expanding and has raised &euro;3.4M in pre-seed funding, with a 5x year-over-year growth rate. Our platform empowers businesses to monitor competitors in real time, optimize pricing, product mix, and promotions, and expand market share with actionable insights. We are pioneering the future of data-driven retail strategy.
 
 
 
 
 
 Responsibilities
 
 <ul>
 <li>
 Support the team in data collection, cleaning, and validation processes
 </li>
 <li>
 Conduct quality and consistency checks on large datasets
 </li>
 <li>
 Assist in data processing and reporting tasks
 </li>
 <li>
 Contribute to analysis and modeling studies with the data science team
 </li>
 </ul>
 
 
 
 
 Qualifications
 
 <ul>
 <li>
 4th year undergraduate student in
 
 Engineering, Statistics, Mathematics, Management Information Systems, or related fields
 
 </li>
 <li>
 
 Able to commit to a long-term internship (minimum 6 months)
 
 </li>
 <li>
 
 Strong interest in data analysis and data science
 
 </li>
 <li>
 
 Preferably familiar with Python, SQL, and Excel
 
 </li>
 <li>
 
 Detail-oriented, analytical mindset, and eager to learn
 
 </li>
 </ul>
 
 
 
 
 What You&rsquo;ll Gain
 
 <ul>
 <li>
 Hands-on experience working with real-world datasets
 </li>
 <li>
 Exposure to data science and data management processes
 </li>
 <li>
 Professional growth by working alongside an experienced team
 </li>
 <li>
 Potential long-term career opportunities
 </li>
 </ul>
</div>

Long-Term Internship – Data Science / Data Validation

Randstad Türkiye

<div>
 
 We are looking for a
 
 
 "AI Engineer"
 
 
 on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 
 
 
 
 
 
 "If you are currently working as an AI Engineer mastered at Machine Learning and Deep Learning, this could be a fantastic next step in your career in a company set to completely revolutionize the telecommunications industry."
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 
 Master Degree
 
 from a reputable university in Computer Science/Engineering, or a related field of study, a
 
 PhD degree is a big plus
 
 .
 </li>
 <li>
 Strong modeling experience with ability to build deep learning models.
 </li>
 <li>
 Experience in manipulating and analyzing large and complex datasets.
 </li>
 <li>
 Strong interest in solving real world problems.
 </li>
 <li>
 Experience in optimizing performance-critical applications.
 </li>
 <li>
 Familiarity with at least one ML/DL frameworks and libraries in
 
 Pytorch
 
 , Tensorflow, Keras, etc.
 </li>
 <li>
 Advanced proficiency with Python, including experience with various data science libraries such as pandas, scikit-learn, SciPy, NumPy, Jupyter, etc.
 </li>
 <li>
 Experience on Kaggle contest is a plus, Getting a Prize will be better.
 </li>
 <li>
 Very good command of written and spoken English,
 </li>
 <li>
 A strong desire to learn and explore new technologies and good analysis and problem-solving skills.
 </li>
 <li>
 Experience in using source control tool (Git) and package managers.
 </li>
 <li>
 Having developed a project and experience in at least one of the classification, segmentation, and object detection fields.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Publishing academic papers.
 </li>
 <li>
 Preparing proposals for TUBITAK Project etc.
 </li>
 <li>
 Creating AI models from scratch and take ownership of them.
 </li>
 <li>
 Optimize and improve the model with given requirements.
 </li>
 <li>
 Actively participate in development for applying the model.
 </li>
 <li>
 Developing novel architectures for
 
 Computer Vision
 
 tasks.
 </li>
 </ul>
</div>

AI Engineer - Computer Vision

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AI Engineer - Computer Vision