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Dizayn VIP

<div>
 
 AI Software Engineer (Python)
 
 
 We are looking a
 
 AI Software Engineer (Python)
 
 &nbsp;to join our team and help developing LLM powered application, text and audiobased systems.
 
 DUTIES &amp; RESPONSIBILITIES
 
 
 
 You will be working on an AI-powered voice assistant platform with the following key responsibilities:
 
 
 
 
 <ul>
 <li>
 
 API Development &amp; Integration
 
 : Develop, deploy, and maintain robust REST and streaming APIs in Python for integration with enterprise systems and applications, ensuring secure, efficient, and well-documented endpoints that adhere to industry best practices.
 </li>
 <li>
 
 AI/ML Implementation
 
 : Design and implement deep learning models focused on NLP and audio processing for voice assistant capabilities, with hands-on experience in LLM integration and AI agent development.
 </li>
 <li>
 
 Cloud Infrastructure &amp; Deployment
 
 : Architect and deploy scalable solutions using Google Cloud Platform (GCP) with serverless deployment strategies, implementing efficient caching mechanisms and microservices architecture.
 </li>
 <li>
 
 System Design &amp; Database Management
 
 : Design robust system architectures with strong focus on MySQL database design, optimization, and management for enterprise-scale applications.
 </li>
 <li>
 
 Development Operations
 
 : Improve build and test systems to enhance development efficiency and reliability, managing complex repositories with Git/Git LFS best practices.
 </li>
 <li>
 
 Security &amp; Performance
 
 : Implement microservices security protocols and optimize system performance across distributed architectures.
 </li>
 </ul>
 
 
 
 
 
 REQUIRED QUALIFICATIONS
 
 
 
 
 
 
 
 Education &amp; Experience
 
 
 <ul>
 <li>
 Bachelor's degree in Software Engineering, Computer Science, or related technical field
 </li>
 <li>
 
 3+ years of software development experience
 
 &nbsp;with substantial R&amp;D components in accomplished projects
 </li>
 <li>
 
 Proven experience developing enterprise applications
 
 &nbsp;with LLM integration and AI agent frameworks
 </li>
 </ul>
 
 
 
 
 
 Technical Skills
 
 
 <ul>
 <li>
 
 Advanced Python programming
 
 &nbsp;with strong Object-Oriented Programming principles
 </li>
 <li>
 
 Hands-on experience with deep learning frameworks
 
 &nbsp;(e.g., PyTorch)
 </li>
 <li>
 
 Enterprise-level experience with LLMs and AI agents
 
 &nbsp;in production environments
 </li>
 <li>
 
 Google Cloud Platform (GCP) expertise
 
 &nbsp;with serverless deployment experience
 </li>
 <li>
 
 System design and architecture
 
 &nbsp;for scalable, distributed systems
 </li>
 <li>
 
 Caching mechanisms
 
 &nbsp;implementation and optimization
 </li>
 <li>
 
 REST APIs and streaming APIs
 
 &nbsp;development and management
 </li>
 <li>
 
 Strong MySQL knowledge
 
 &nbsp;including database design, optimization, and management
 </li>
 <li>
 
 Vector databases experience
 
 &nbsp;with Chroma and Weaviate for AI applications
 </li>
 <li>
 
 RAG systems expertise
 
 &nbsp;including both basic and advanced Retrieval-Augmented Generation implementations
 </li>
 <li>
 Experience with large-scale data processing and storage solutions
 </li>
 <li>
 
 Advanced Git and Git LFS
 
 &nbsp;repository management and best practices
 </li>
 <li>
 
 Microservices security
 
 &nbsp;implementation and protocols
 </li>
 <li>
 
 Agile methodology
 
 &nbsp;and software development lifecycle expertise
 </li>
 <li>
 
 Excellent understanding of Data Structures &amp; Algorithms
 
 </li>
 <li>
 
 Software design patterns and principles
 
 </li>
 <li>
 
 API security and authentication best practices
 
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 
 Fluent in English
 
 &nbsp;and
 
 Turkish
 
 (written and verbal communication)
 </li>
 <li>
 
 Continuous learning mindset
 
 &nbsp;with enthusiasm for pursuing research and adopting new technologies
 </li>
 <li>
 
 Strong problem-solving abilities
 
 &nbsp;and analytical thinking
 </li>
 <li>
 
 Collaborative team player
 
 &nbsp;with excellent communication skills
 </li>
 </ul>
 
 
 
 
 About Us:
 
 <ul>
 <li>
 DizaynVip was incorporated in 1992 starting at a small space of 20 m2 but with a significant target of becoming a global trademark. Today, DizaynVip is a worldwide known trademark, leading its sector, with its experience of over 20 years, a 10,000 m2 factory and more than 170 professional staff. DizaynVip, going from strength to strength, was awarded &ldquo;The Best Quality Automobile Design Company of Europe&rdquo; in the organization of the International Brands Leadership Summit which is attended for and on behalf of the European countries and Turkey. Special design vehicles, manufactured by Turkish Engineers and technical specialists in Turkey, are preferred by many worldwide celebrities from bureaucrats to sportsmen, from artists to businessmen.
 </li>
 <li>
 DizaynVip develops software for automotive and other companies.
 </li>
 </ul>
</div>

AI Software Engineer(Python)

Nets-international Communication

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI ML Engineer: 4 years (Required)</li></ul>

AI ML Engineer

Randstad Türkiye

<div>
 
 We are looking for a
 
 "AI Research Engineer"
 
 specified in Recommendation Project for our global business partner runs in
 
 Telecommunication Industry
 
 .
 
 
 
 
 
 
 Description
 
 
 
 
 
 Key areas of responsibility will be:
 
 
 
 
 
 
 <ul>
 <li>
 Make research on retrieval, pre-rank, and rank stages of Recommenders Systems,
 </li>
 <li>
 Design and build scalable ML services,
 </li>
 <li>
 Deploy ML services to production at scale considering resource constraints,
 </li>
 <li>
 Monitoring models to evaluate and improve services online,
 </li>
 <li>
 Play an active role in suggesting, collecting, and preprocessing the data necessary to train the ML models and evaluate performance,
 </li>
 <li>
 Consult with the other teams to determine the requirements and formalize the possible ML research directions.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 
 
 
 Essential technical requirements:
 
 
 
 
 
 
 
 
 
 A. Basic computer science and programming languages
 
 
 
 
 
 
 <ul>
 <li>
 Understanding of data structures, data modeling, and software architecture,
 </li>
 <li>
 Having expertise in object-oriented programming,
 </li>
 <li>
 Ability to write reusable and easily-maintainable code using beautiful and proper design patterns,
 </li>
 <li>
 Ability to write robust and optimized code in Python.
 </li>
 <li>
 Strong programming skills (Python, SQL, etc.) and experience with deep learning frameworks (e.g. TensorFlow, PyTorch, Keras)
 </li>
 <li>
 Familiar with development processes (CI/CD, DevOps, MLOps)
 </li>
 </ul>
 
 
 
 
 
 
 B. Machine Learning
 
 
 
 
 
 
 <ul>
 <li>
 Solid understanding of Neural Networks in theory such as convex optimization, hessian approximations, conjugate gradient, and Gauss-Newton steps,
 </li>
 <li>
 Familiarity with modern machine learning frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 C. Recommender System, related NLP and Computer Vision fields
 
 
 
 
 
 
 <ul>
 <li>
 Proven experience as a Machine Learning/AI Engineer or similar role building largescale recommender systems to solve real live-stream problems,
 </li>
 <li>
 Practical experience in deploying and optimizing ML models in production,
 </li>
 <li>
 Experience in one of the fields: Deep Learning-based recommender models, NLP tasks (vector semantics such as TF-IDF or neural word embeds, entity labeling, text classification, etc.), Computer Vision tasks (such as Optical Character Recognition, Object Classification, Object detection, etc.)
 </li>
 </ul>
 
 
 
 
 
 
 D. Working efficiency
 
 
 
 
 
 
 <ul>
 <li>
 Fully-easy working capability in version control systems such as Gitlab or Github,
 </li>
 <li>
 Experience in Docker for building a simulation of the production environment,
 </li>
 <li>
 Solid understanding of JSON file, and schema.
 </li>
 </ul>
 
 
 
 
 
 
 E. Academic
 
 
 
 
 
 
 
 Being published in Articles and Proceedings in reputable journals related to recommenders systems such as ACL and SIGIR is a significant plus.
 
 
 
 
 
 
 
 Essential non-technical requirements:
 
 
 
 
 
 
 <ul>
 <li>
 Fluent in English, both written and spoken,
 </li>
 <li>
 Ability to work in a multi-disciplinary and multi-cultural team.
 </li>
 </ul>
</div>

Artificial Intelligence Engineer

ING Türkiye

<div>
 
 We are building a new
 
 AI for Tech Chapter
 
 focused on developing internal AI agents, automation workflows, and an AI orchestration platform that will support the productivity of our engineers across the organization.
 
 
 
 
 
 We are looking for an
 
 AI Engineer (Junior/Mid)
 
 who is passionate about building with LLMs, learning new technologies, and experimenting with modern agentic AI architectures.
 
 
 
 
 
 
 
 
 
 What you will do;
 
 
 
 
 
 
 
 Build and prototype AI agents
 
 - Develop internal AI agents and automations for engineering workflows including SDLC processes, documentation generation, and code analysis, etc.
 
 <ul>
 <li>
 Work with LLM APIs (OpenAI, Azure OpenAI, etc.) and orchestration frameworks (LangChain, LlamaIndex, CrewAI, AutoGen&hellip;)
 </li>
 <li>
 Collaborate on RAG pipelines, vector databases, evaluation workflows, and platform components
 </li>
 <li>
 Integrate agents with internal systems (ServiceNow, Azure DevOps, observability tools, etc.)
 </li>
 <li>
 Research new AI tools, frameworks, and agent patterns &mdash; and present findings to the team
 </li>
 </ul>
 
 
 Develop backend services
 
 - Write clean Python code for APIs, workflow logic, and agent orchestration while learning software engineering fundamentals from the team
 
 
 
 Build quality and reliability practices
 
 - Help establish monitoring, logging, testing, and observability standards for production AI systems
 
 
 
 Document and share knowledge
 
 - Contribute to internal documentation, technical playbooks, and best practices that help the team scale
 
 
 
 
 
 
 What we are looking for;
 
 
 
 
 
 <ul>
 <li>
 
 Bachelor's or Master's degree in Computer Science, AI/ML, Data Science, or related field
 
 </li>
 <li>
 
 Strong academic foundation in Machine Learning, NLP, or Generative AI
 
 through coursework, thesis, or research projects
 </li>
 <li>
 
 Up-to-date with latest AI/ML research and trends
 
 - you actively read papers and follow developments in LLMs, agents, RAG, and emerging techniques
 </li>
 <li>
 
 Demonstrated ML/GenAI project experience
 
 through university research, thesis, internships, hackathons, or personal GitHub repositories
 </li>
 <li>
 
 Solid software development fundamentals programming skills
 
 with ability to write clean, functional code (Python preferred, but Java/Go/.NET acceptable)
 </li>
 <li>
 Familiarity with at least one of these is a plus:
 </li>
 <li>
 &bull; Vector databases (Pinecone, Chroma, Weaviate...)
 </li>
 <li>
 &bull; LangChain / LlamaIndex / AutoGen / CrewAI
 </li>
 <li>
 &bull; Prompt engineering, RAG, embeddings
 
 
 </li>
 <li>
 
 Basic hands-on experience with LLMs
 
 - you've experimented with OpenAI, Claude, or similar APIs and understand prompt engineering
 </li>
 <li>
 
 Ability to read academic papers
 
 and translate research concepts into practical code implementations
 </li>
 <li>
 
 Fast learner
 
 with strong problem-solving abilities and eagerness to master production engineering practices
 </li>
 <li>
 
 Excellent communication skills
 
 - can explain complex AI concepts clearly to both technical and non-technical audiences
 </li>
 <li>
 
 Collaborative mindset
 
 - comfortable learning from senior engineers and contributing fresh perspectives from academia
 </li>
 </ul>
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 
 Software engineering fundamentals
 
 : CI/CD, Git, APIs, Docker, or backend development basics
 </li>
 <li>
 
 Agent framework exposure
 
 (LangChain, LlamaIndex, CrewAI) or RAG/vector database experimentation
 </li>
 <li>
 
 Master's thesis or research publications
 
 in LLMs, NLP, Generative AI, or related ML areas
 </li>
 </ul>
 
 
 
 
 
 What We Offer:
 
 
 
 At ING, we believe your work should inspire and fulfill you. That&rsquo;s why we prioritize every detail to ensure you have an exceptional experience:
 
 
 
 
 
 
 You First Become Your True Self, Then an INGer:
 
 
 <ul>
 <li>
 
 Flexible
 
 and
 
 hybrid working models
 
 , including remote options every third week of the month and during summer.
 </li>
 <li>
 
 14 days of welcome leave
 
 in your first year&mdash;don&rsquo;t wait to pursue your dreams!
 </li>
 </ul>
 
 
 
 
 
 Continuous Growth and Development:
 
 
 <ul>
 <li>
 Access to global and local learning opportunities through
 
 ING Academy,
 
 
 LearnUp
 
 , and certification programs with leading universities.
 </li>
 <li>
 Opportunities to contribute to innovative projects both locally and globally while advancing personally and professionally.
 </li>
 <li>
 Flexible career experiences await you through
 
 Short-Term Assignments (STA), Long-Term Assignments (LTA), Mini Career opportunities, Double Major (&Ccedil;ifte Kariyer), Turuncu Misafir,
 
 and
 
 Global STA/LTA programs
 
 , designed to enhance your skills and broaden your experience across different teams, departments, and international locations.
 </li>
 <li>
 When you step into a managerial role at ING, our exclusive
 
 RISE Leadership Program
 
 empowers you to lead with confidence. Centered around technology and people, RISE equips ING leaders with advanced skills and a strategic mindset to navigate and thrive in a dynamic environment.
 </li>
 </ul>
 
 
 
 
 
 A Dynamic and Supportive Work Environment:
 
 
 <ul>
 <li>
 An informal and collaborative culture where
 
 your ideas
 
 and
 
 innovations are valued.
 
 </li>
 <li>
 Social clubs, celebrations, and events to help you balance work and fun.
 </li>
 </ul>
 
 
 
 
 
 We Care About You:
 
 
 <ul>
 <li>
 Comprehensive health insurance for you and your loved ones.
 </li>
 <li>
 Private pension plans to help you achieve your future goals.
 </li>
 <li>
 On-site amenities like a gym, coffee shops, a hairdresser, and more to simplify your daily life.
 </li>
 </ul>
 
 
 
 
 At ING, we&rsquo;re dedicated to helping you achieve your goals by embracing flexibility, growth, and innovation.
 
 
 
 
 
 For more information about our
 
 Orange Culture
 
 , click here now:
 
 
 
 
 
 https://youtu.be/Q-tB2-J1lzQ
 
 
 
 
 
 
 If you want to do your thing and explore the life while working don&rsquo;t miss this opportunity!
 
 
 
 
 
 
 Candidates are expected not to share any sensitive personal data.
 
 
 
</div>

AI Engineer

Softtech

<div>
 
 We are looking for a
 
 &ldquo;Generative AI Engineer
 
 &rdquo; who will be able to work with enthusiasm to implement solutions in the field of development to join our
 
 Data and Artificial Intelligence Applications team.
 
 
 
 
 
 
 We believe that highly competitive solutions can only be developed by motivated and enthusiastic teams. That&rsquo;s why our team members have been selected among the top engineers and specialists in the market.
 
 
 We are experts in developing solutions for financial organizations. If you want to be part of this dynamic team, come &amp; join us and share our goal that is to take the technology to the next level with creative, fast, efficient, and secure solutions.
 
 
 
 
 
 
 Here are the details of our job posting:
 
 
 
 
 
 
 
 What makes you a good fit:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s/Master&rsquo;s degree in Engineering, Computer Science (or equivalent experience)
 </li>
 <li>
 At least 5+ years of software development experience
 </li>
 <li>
 Strong coding skills with Python
 </li>
 <li>
 Excellent knowledge of Django, Flask, FastAPI technologies
 </li>
 <li>
 Extensive experience with SQLAlchemy, Alembic migrations, and designing robust Pydantic schemas for data validation and serialization in Python-based applications.
 </li>
 <li>
 Experience working with cloud-based AI providers like OpenAI, Azure, Google, Meta, etc.
 </li>
 <li>
 Deep knowledge of Langchain framework and its modules such as Retrieval, Chains, Agents, Memory
 </li>
 <li>
 Experience in working with Multi-Agent frameworks (e.g., CrewAI, LangGraph, AutoGen, Magnetic-One ).
 </li>
 <li>
 Experience in Prompt Engineering.
 </li>
 <li>
 Proven experience in designing and developing production-level prompts tailored for various AI models and use cases
 </li>
 <li>
 Solid understanding of the vector databases(Pinecone, Chroma, Qdrant, Faiss)
 </li>
 <li>
 Hands-on experience with implementing production-grade guardrails for AI systems to ensure reliability, safety, and ethical compliance.
 </li>
 <li>
 Possesses a solid perspective on Agent-Oriented Programming (AOP) and its application in designing and developing intelligent, autonomous systems.
 </li>
 <li>
 In-depth knowledge of working with containerized cloud environments (Docker, Kubernetes, AWS, GCP, Azure, Databricks, etc) and associated machine learning products, e.g. Amazon SageMaker, Azure ML
 </li>
 </ul>
 
 
 
 
 
 What you&rsquo;ll experience working at Softtech:
 
 
 
 
 
 <ul>
 <li>
 Implement and develop Generative AI solutions for business needs.
 </li>
 <li>
 Work with large language models (LLMs) or small language models (SLMs) to create innovative applications and solutions.
 </li>
 <li>
 Develop and integrate AI-related APIs from providers like Google, Microsoft, and OpenAI.
 </li>
 <li>
 Write clean, scalable, and efficient code following best practices in AI development.
 </li>
 <li>
 Collaborate with senior engineers and architects to ensure the robustness and scalability of AI solutions.
 </li>
 <li>
 Conduct unit tests and debugging to ensure software reliability.
 </li>
 <li>
 Stay up to date with emerging AI technologies and frameworks, applying them where relevant.
 </li>
 <li>
 Participate in team discussions and contribute to knowledge sharing.
 </li>
 </ul>
 
 
 
 
 
 What we offer you:
 
 
 
 
 
 <ul>
 <li>
 Private medical insurance and group life insurance
 </li>
 <li>
 Company contributory in individual retirement or cumulative life insurance 3 months after working with us
 </li>
 <li>
 Employee and Employer Contribution Plan for individual retirement support (Optional)
 </li>
 <li>
 Monthly meal payment
 </li>
 <li>
 Flexible remote working support
 </li>
 <li>
 Transportation fee or shuttle option according to your preference
 </li>
 <li>
 Covered travel and accommodation expenses if necessary
 </li>
 <li>
 Employee discounts &ndash; including a huge number of retailers via &Idot;&scedil; Grubu Ailem
 </li>
 <li>
 Continuously learning and development opportunities
 </li>
 <li>
 Health and well-being seminars and initiatives via Softtech Academy
 </li>
 <li>
 Employee support program through a corporate consulting firm
 </li>
 <li>
 Support for postgraduate education, including administrative leave and financial incentives for those pursuing a Master's or PhD degree
 </li>
 <li>
 Study leave and support for studying for a qualification or other accredited development relevant to your role
 </li>
 <li>
 Attending to technical congress and conferences
 </li>
 <li>
 Celebrate your birthday with a day off
 </li>
 </ul>
 
 
 
 
 
 About us:
 
 
 
 
 
 
 As one of Turkey's leading technology companies, we have been operating at a total of 6 different locations in Turkey and USA since 2006.
 
 
 With the strength of our experience in banking and finance industry and experienced human resources, we are developing customer-oriented solutions for our business partners operating in diverse areas.
 
 
 Our mission is to transform all our customers including mainly &Idot;&scedil; Bankas&inodot; into digital companies by using our efficient and high-energy ecosystem.
 
 
 We recognize that our people are our strength and the diverse talents. We are an equal opportunity employer and welcome applications from any individuals without any restrictions at our company.
 
 
 
 
 
 Contact us:
 
 
 If you need more information please don't hesitate to contact us.
 
 
 https://softtech.com.tr
 
 
 https://m.youtube.com/@Softtechas
 
 
 https://anlatsin.com/softtech
 
 
 https://instagram.com/softtech?igshid=YmMyMTA2M2Y=
 
</div>

Generative AI Engineer

<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

Pubinno

<div>
 
 
 We are seeking a highly skilled
 
 
 Senior Full Stack Engineer
 
 
 to join our engineering team at Pubinno. The ideal candidate is an experienced developer who thrives in a fast-paced, innovative environment and is passionate about building scalable, data-driven systems. You will play a key role in maintaining, optimizing, and evolving our cloud-native architecture that powers intelligent IoT systems used across global markets.
 
 
 
 
 
 
 
 What You&rsquo;ll Be Doing:
 
 
 <ul>
 <li>
 
 Design, build, and maintain robust backend and frontend services across multiple projects.
 
 </li>
 <li>
 
 Develop, release, and sustain high-quality, clean, and maintainable code that meets modern engineering standards.
 
 </li>
 <li>
 
 Translate technical requirements, storyboards, and use cases into functional, scalable applications.
 
 </li>
 <li>
 
 Ensure optimal performance, reliability, and responsiveness of all systems under your ownership.
 
 </li>
 <li>
 
 Identify and resolve performance bottlenecks, bugs, and architectural issues proactively.
 
 </li>
 <li>
 
 Keep all systems and dependencies secure, up to date, and production-ready.
 
 </li>
 <li>
 
 Foster strong cross-functional collaboration, knowledge sharing, and teamwork across engineering disciplines.
 
 </li>
 </ul>
 
 
 
 
 
 Our Tech Stack:
 
 
 <ul>
 <li>
 
 Frontend (web):
 
 
 React + Typescript
 
 </li>
 <li>
 
 Backend:
 
 
 .NET Core, Python
 
 </li>
 <li>
 
 Databases:
 
 
 SQL, NoSQL (Cosmos DB), OLAP (Clickhouse)
 
 </li>
 <li>
 
 Cloud Infrastructure:
 
 
 MS Azure
 
 </li>
 </ul>
 
 
 
 
 
 Desired Skills and Experiences:&nbsp;
 
 
 <ul>
 <li>
 
 7+ years of professional software engineering experience,
 
 
 including full-stack development.
 
 </li>
 <li>
 
 Advanced proficiency in
 
 
 .NET Core (C#)
 
 
 for backend services, with strong knowledge of modern API design and performance optimization.
 
 </li>
 <li>
 
 Deep expertise in
 
 
 Azure Functions
 
 
 and
 
 
 serverless architectures
 
 
 , including monitoring, scaling, and troubleshooting distributed systems.
 
 </li>
 <li>
 
 Solid experience with
 
 
 React
 
 
 and
 
 
 TypeScript
 
 
 , delivering performant, maintainable, and responsive front-end applications.
 
 </li>
 <li>
 
 Proven ability to manage and deploy systems within the
 
 
 Azure Cloud
 
 
 ecosystem, leveraging services such as App Services, Storage, and Application Insights.
 
 </li>
 <li>
 
 Strong understanding of
 
 
 CI/CD pipelines, automated testing,
 
 
 and
 
 
 GitHub
 
 
 -based workflows for continuous integration and deployment.
 
 </li>
 <li>
 
 Working knowledge of
 
 
 Python
 
 
 for microservices, utilities, or cloud functions.
 
 </li>
 <li>
 
 Hands-on experience with
 
 
 Cosmos DB
 
 
 and
 
 
 ClickHouse
 
 
 , including data modeling and analytical query optimization.
 
 </li>
 <li>
 
 Familiarity with
 
 
 Firebase
 
 
 and
 
 
 Cloudflare
 
 
 .
 
 </li>
 <li>
 
 Competence in
 
 
 networking fundamentals
 
 
 , including DNS, load balancing, and edge security.
 
 </li>
 <li>
 
 Prior experience in the
 
 
 IoT industry
 
 
 or connected device ecosystems is highly preferred.
 
 </li>
 <li>
 
 Demonstrated ability to maintain and enhance complex existing systems while ensuring long-term reliability and scalability.
 
 </li>
 <li>
 
 Active use of AI-powered development tools
 
 
 (e.g., Cursor, ChatGPT) for productivity, code quality, and innovation. This is a strict requirement.
 
 </li>
 </ul>
 
 
 
</div>

Full Stack Engineer

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