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Loodos

<div>
 
 Loodos is one of the first established companies in the industry, providing end-to-end mobile solutions since 2004.
 
 
 
 
 
 
 
 Who we are:
 
 
 
 
 
 
 
 Loodos&rsquo;s utmost motivation is Mobile Excellence. We build end-to-end solutions with best technical and business approaches. Bringing human behavior understanding and deep technical abilities together carry the mobile application to level of excellence.
 
 
 In our R&amp;D center office we have awesome teammates that we can safely incorporate into our mobile application and infrastructure projects, which have a direct R&amp;D-oriented vision and reach over 25 million monthly active users.
 
 
 Excellence is not only a station to arrive, but also a way of journey! We open our doors to every method and idea that will help our self-development.
 
 
 We are a team that &lsquo;loves their job&rsquo;, &lsquo;builds strong infrastructures&rsquo;, &lsquo;high-tech oriented employees&rsquo; and &lsquo;always entertained&rsquo;.
 
 
 If you want to be a part of the beloved culture of Loodos, your place is ready!
 
 
 Would you like to join us?
 
 
 
 
 
 
 
 What we&rsquo;re looking for:
 
 
 
 
 
 
 <ul>
 <li>
 Being a 3rd or 4th year student in Software Engineering, Computer Engineering, Electrical-Electronics Engineering, Mathematics, Management Information Systems, or related fields
 </li>
 <li>
 Conducting research and contributing to model testing in machine learning and natural language processing projects
 </li>
 <li>
 Creating suitable datasets for model training and providing support in analyses
 </li>
 <li>
 Being passionate to use new technologies in projects
 </li>
 <li>
 Ability to quickly learn and unlearn
 </li>
 <li>
 Excellent time management skills with a proven ability to meet deadlines
 </li>
 <li>
 Strong communication, multi-tasking problem solving, critical and analytical thinking skills
 </li>
 </ul>
 
 
 
 
 
 
 What you&rsquo;ll do?
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on experience working on real projects in a dynamic and collaborative environment
 </li>
 <li>
 Mentorship opportunities with experienced professionals in the field
 </li>
 <li>
 Exposure to cutting-edge technologies and tools used in mobile app development
 </li>
 <li>
 Potential for future full-time employment opportunities based on performance
 </li>
 </ul>
 
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 
 
 
 
 <ul>
 <li>
 Being a part of a fast growing and R&amp;D focused tech company and working with a young, talented, and dynamic team
 </li>
 <li>
 Great career and personal development opportunities in a project-based working environment
 </li>
 <li>
 Unique opportunity to take responsibility in active local and/or worldwide projects from different industries
 </li>
 <li>
 Within a flat organization structure, open communication in the workplace
 </li>
 <li>
 Happy hours, team-bonding events
 </li>
 <li>
 A pleasant, beloved, and activity-filled Office
 </li>
 </ul>
 
 
 
 
 To get to know us better, please have a look at our website!
 
 
 
 https://loodos.com/
 
 
 
 
 
 
 We believe in diversity and equal opportunity! All applications will be assessed regardless to age, religion, gender identity, race, nationality, disability, or marital status.
 
 
 
 
 
 
 Note:
 
 We&rsquo;ll contact only with suitable applicants. Thanks in advance for your understanding!
 
</div>

AI&ML Intern

SnA Consulting

<div>
 
 
 About Us
 
 
 
 SnA is a business analytics consultancy with its resources actively engaged in client deliverables. SnA helps blue-chip clients in Banking, Insurance, Telco, Retail, and Energy understand their transaction-level history &amp; conduct predictive analysis. SnA team combines skillsets in three key areas: business strategy, applied statistics, and database techniques. In the past fifteen years, SnA has completed over 300+ advanced analytics engagements with high-profile clients in the EMEA region.
 
 
 
 
 
 This position requires a combination of
 
 technical skills and research, communication, and presentation skills.
 
 
 
 
 
 
 We seek highly motivated individuals with a strong record of professional/academic/personal achievement and place significant importance on personal qualities such as intellectual curiosity, responsibility, determination, creativity, flexibility, drive, and self-confidence.
 
 
 
 
 
 
 Desired Skills and Experience
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in a technical program (e.g., Engineering, Computer Science, MIS) from a reputable university
 </li>
 <li>
 Up to 3 years of relevant experience in data engineering, analytics, or AI-related projects
 </li>
 <li>
 Strong knowledge of
 
 Python
 
 for data engineering, AI/ML development, and
 
 SQL
 
 </li>
 <li>
 Familiarity with
 
 machine learning fundamentals
 
 (supervised/unsupervised learning, feature engineering, model evaluation)
 </li>
 <li>
 Basic understanding of
 
 AI/ML pipelines
 
 , including data preparation, training, inference, and monitoring
 </li>
 <li>
 Assertive, fast learner, highly organized, and curious about emerging
 
 AI and data technologies
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Knowledge of modern, cloud-based
 
 data and AI pipeline best practices
 
 </li>
 <li>
 Experience with
 
 large-scale data warehousing
 
 , data lake/lakehouse architectures, and data modeling
 </li>
 <li>
 Exposure to
 
 ML frameworks and libraries
 
 (e.g., scikit-learn, PyTorch, TensorFlow, XGBoost)
 </li>
 <li>
 Familiarity with
 
 MLOps concepts
 
 such as experiment tracking, model versioning, and CI/CD for ML
 </li>
 <li>
 Experience with orchestration frameworks such as
 
 Apache Airflow
 
 or
 
 Argo Workflow
 
 </li>
 <li>
 Experience with one or more cloud environments (
 
 AWS / Azure / GCP
 
 ), including managed AI services
 </li>
 <li>
 Experience with
 
 LLM or Generative AI concepts
 
 (prompt engineering, embeddings, vector databases, RAG architectures)
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Work closely with clients and internal consultants on
 
 data, analytics, and AI projects
 
 </li>
 <li>
 Design and build
 
 scalable data and AI pipelines
 
 across Cloud and On-Prem environments
 </li>
 <li>
 Support the development and deployment of
 
 AI/ML models
 
 by ensuring high-quality, well-governed data inputs
 </li>
 <li>
 Assist in the implementation of
 
 MLOps practices
 
 , including model deployment, monitoring, and performance tracking
 </li>
 <li>
 Research emerging
 
 AI, Generative AI, and data engineering technologies
 
 to continuously improve existing platforms and solutions
 </li>
 </ul>
 
 
 
 
 
 Benefits:
 
 
 <ul>
 <li>
 A culture where participation is encouraged and collaboration is a real pleasure
 </li>
 <li>
 Work in a creative environment and a steep learning curve
 </li>
 <li>
 Modern workplace in the heart of Istanbul
 </li>
 <li>
 Direct cooperation with major brands from all conceivable industries
 </li>
 <li>
 Home office arrangements
 </li>
 <li>
 Birthday leave
 </li>
 <li>
 Private health insurance &amp; Sodexo to cover food expenses
 </li>
 </ul>
</div>

Data & AI Engineering Consultant

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

Zepp Health

<div>
 
 
 Job Title:
 
 NLP/ML/AI Engineer - Generative Modeling
 
 
 
 Location:
 
 Turkey (Istanbul)
 
 
 
 Introduction
 
 : Zepp Health (NYSE: ZEPP) is a global smart wearable and health technology leader that empowers users to live their healthiest lives by optimizing their health, fitness, and wellness journeys through its leading brands such as Amazfit, Zepp Clarity and Zepp Aura. Our Big Data and Cloud team is building world-class applications such as Zepp Coach (an AI-powered feature that offers tailored guidance to help users train more scientifically) and Zepp Aura (an innovative rest and mindfulness solution that provides users with dynamic tools to enjoy deeper sleep, improve their mental well-being and lead a more joyful life).
 
 
 
 
 
 
 Position:
 
 We are seeking a highly skilled and motivated NLP/ML/AI engineer to join our team in developing cutting-edge AIGC applications. The successful candidate will play a key role in developing state-of-the-art AI systems, conducting model fine-tuning, evaluating performance, and implementing data-driven optimizations.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Participate in the design and implementation of state-of-the-art AIGC applications.
 </li>
 <li>
 Conduct fine-tuning for customized models to optimize performance.
 </li>
 <li>
 Evaluate model performance and implement data-driven optimizations to enhance accuracy and efficiency.
 </li>
 <li>
 Collaborate with cross-functional teams to define strategic roadmaps for AI/NLP projects.
 </li>
 <li>
 Stay updated with industry advancements and incorporate innovative techniques into our applications.
 </li>
 </ul>
 
 
 Required
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related field.
 </li>
 <li>
 8+ years of industry experience in building NLP systems and applications.
 </li>
 <li>
 Proficiency in Python and experience with frameworks such as PyTorch/TensorFlow.
 </li>
 <li>
 Strong theoretical understanding of deep learning and NLP fundamentals.
 </li>
 <li>
 Experience with fine tuning and serving deep neural networks.
 </li>
 <li>
 Exceptional problem-solving skills and an analytical mindset.
 </li>
 <li>
 Ability to thrive in a remote work environment while effectively collaborating with the team.
 </li>
 </ul>
 
 
 
 
 We are excited to welcome passionate individuals who can contribute to our AI-powered innovations. If you have the required qualifications and a drive to make a difference in the field of AI, we encourage you to apply today!
 
</div>

Generative AI Engineer

Argela Technologies

<div>
 
 Argela&rsquo;s mission isn&rsquo;t simply to provide solutions for the present; it&rsquo;s to generate innovative technologies for the future of communication. We do this through applying our extensive telecom experience to a rigorous, dynamic research and development process. Our goal is to continue our standing as a leader in the information technologies through focusing on actual market needs like Network &amp; Customer Analytics, Subscriber &amp; Service Analytics, Deep Packet Inspection Solutions, Secure Network Infrastructures, software-defined networking (SDN) with network functions virtualization (NFV).
 
 
 To reach our goal, we are looking for the best talent, as outlined in the responsibilities below;
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop and deploy end-to-end AI/ML solutions: data exploration, feature engineering, model development, validation, and production deployment
 </li>
 <li>
 Extract, clean, and transform data from various sources (databases, APIs, logs, etc.)
 </li>
 <li>
 Design and implement LLM-powered applications (chatbots, summarization, Q&amp;A, etc.) using RAG and fine-tuning where necessary
 </li>
 <li>
 Collaborate closely with product, data, and engineering teams to turn AI research into real-world impact
 </li>
 <li>
 Stay up to date with the latest advancements in machine learning, deep learning, and generative AI
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, Mathematics, or a related field
 </li>
 <li>
 Strong experience in Python and common ML libraries (e.g., scikit-learn, TensorFlow, PyTorch)
 </li>
 <li>
 Solid understanding of NLP and hands-on experience with LLMs (e.g., GPT, LLaMA, Claude)
 </li>
 <li>
 Familiarity with vector databases (e.g., FAISS, Pinecone), embeddings, and prompt engineering
 </li>
 <li>
 Experience with MLOps tools and practices (e.g., MLflow, DVC, Docker, Kubernetes) is a plus
 </li>
 <li>
 Ability to work independently and manage multiple priorities in a fast-paced environment
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Experience with real-time AI applications in telecom or customer service
 </li>
 <li>
 Exposure to LangChain, Hugging Face Transformers, OpenAI APIs
 </li>
 <li>
 Previous involvement in deploying AI models in production environments
 </li>
 </ul>
 
 
 
 
 
 Location:
 
 Istanbul, Ankara
 
 
 
 
 
 
 Bu ilana yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz hakk&inodot;ndaki ayd&inodot;nlatma metnine, &scedil;u linkten ula&scedil;abilirsiniz:
 
 
 
 
 https://www.argela.com.tr/tr/kvkk
 
 
</div>

Codeway

<div>
 
 About Codeway
 
 
 Codeway is a global consumer tech company with more than 400M users worldwide.
 
 
 Since 2020, we&rsquo;ve built and scaled 60+ mobile apps across creativity, productivity, wellness, language learning, and entertainment.
 
 
 Our flagship apps &mdash; Retake AI, Cleanup, Learna, and DramaPops &mdash; and many of them lead their categories globally. In 2024, we became the most downloaded app publisher on iOS, driven by cutting-edge AI research, sharp data-driven execution, and a relentless focus on product and marketing.
 
 
 We&rsquo;re a team of 300+ people across &Idot;stanbul and Barcelona who bring curiosity, passion, trust, and ownership to everything we build. Recognized as a #1 LinkedIn Top Startup and a Great Place to Work in Europe, Codeway is where ambitious people do their life&rsquo;s best work.
 
 
 We&rsquo;re building the next generation of consumer tech and reimagining what mobile apps can be.
 
 
 This is Codeway. This is our way. Join us.
 
 
 
 POSITION
 
 
 
 We are seeking an MLOps / Platform Engineer to design, build, and scale our GPU-enabled AI/ML infrastructure. This role will empower our AI researchers, data engineers, and product teams by providing them with robust, Kubernetes-based platforms for containerized workloads.
 
 
 The ideal candidate has a platform engineering mindset&mdash;focused on enabling teams through self-service tooling, automation, and reliability. You will take ownership of our GPU infrastructure, ensuring workloads scale efficiently, pipelines run smoothly, and deployments are reliable across environments.
 
 
 
 What You&rsquo;ll Be Doing
 
 
 
 <ul>
 <li>
 Design, build, and operate Kubernetes-based GPU infrastructure for AI/ML research and production workloads.
 </li>
 <li>
 Provide self-service deployment capabilities to AI researchers, data engineers, and product teams.
 </li>
 <li>
 Implement and manage continuous delivery pipelines using Kubernetes-native deployment tools (e.g., ArgoCD).
 </li>
 <li>
 Configure and optimize GPU workloads (CUDA, drivers, device plugins, and scheduling strategies).
 </li>
 <li>
 Implement autoscaling strategies for both CPU and GPU workloads on Kubernetes clusters.
 </li>
 <li>
 Partner with data teams to ensure platforms are tailored to data pipelines, training workflows, and ML model lifecycle needs.
 </li>
 <li>
 Contribute to the adoption of ML orchestration and experiment tracking platforms (e.g., Kubeflow, MLflow, ClearML, Anyscale).
 </li>
 <li>
 Support notebook environments for experimentation (e.g., JupyterHub).
 </li>
 <li>
 Act as a platform engineering lead for AI/ML workloads&mdash;adopting the best practices, reliability, and cost-efficiency.
 
 
 
 
 </li>
 </ul>
 
 What You&rsquo;ll Bring
 
 
 
 <ul>
 <li>
 Strong hands-on experience with Kubernetes (designing, operating, and troubleshooting clusters).
 </li>
 <li>
 Proven experience deploying workloads with ArgoCD or similar GitOps tools.
 </li>
 <li>
 Exposure to ML platforms such as Kubeflow, MLflow, ClearML, or Anyscale.
 </li>
 <li>
 Prior experience working with data engineering teams or ML model lifecycle management.
 </li>
 <li>
 Experience enabling notebook-based workflows (JupyterHub, SageMaker Studio, etc.).
 </li>
 <li>
 Knowledge of cloud platforms (AWS, GCP, or Azure) and their GPU offerings.
 </li>
 <li>
 Strong collaboration and communication skills&mdash;able to partner effectively with researchers, engineers, and product teams.
 
 
 
 
 </li>
 </ul>
 
 Nice To Haves
 
 
 
 
 <ul>
 <li>
 Hands-on experience with GPU configuration, CUDA, or NVIDIA ecosystem tools (NCCL, Triton Inference Server).
 </li>
 <li>
 Knowledge of autoscaling patterns for AI/ML workloads on Kubernetes (KEDA, HPA, VPA, custom controllers).
 </li>
 <li>
 Experience with observability and monitoring tools (Prometheus, Grafana, Loki, ELK, etc.).
 </li>
 <li>
 Solid understanding of containerization (Docker, OCI) and CI/CD pipelines.
 </li>
 <li>
 Familiarity with infrastructure as code (Terraform, Helm, Kustomize).
 </li>
 <li>
 Background in platform engineering, SRE, or DevOps with a focus on enabling other teams.
 
 
 
 
 </li>
 </ul>
 
 What&rsquo;s In It For You
 
 
 
 <ul>
 <li>
 Great Place to Work. As our top team member, you'll be a part of a fast-growing startup and have the privilege to enjoy our accredited &ldquo;BEST WORKPLACES&rdquo; environment, ranked first among all workplaces.
 </li>
 <li>
 A Competitive Compensation Package. Long story short, we take care of you.
 </li>
 <li>
 A Meal Compensation that is actually enough for a decent &amp; nutritious lunch, we&rsquo;re not following the industry standard.
 </li>
 <li>
 Full Health Benefits. To keep you away from all the trouble, we provide unlimited private health insurance and cover the HPV vaccine.
 </li>
 <li>
 Pet Adoption Support. We cover the primary healthcare expenses, parasite vaccinations, and microchip costs that may arise within the first year after employees adopt a pet.
 </li>
 <li>
 Cool Tech Stack. Macbook, iPhone 15 Pro, magic mouse, magic keyboard; an adjustable desk with a 4K screen and any other gadget you may need in your job.
 </li>
 <li>
 Sport Activities Support. We care about your physical wellbeing and support your gym membership.
 </li>
 <li>
 Learning Never Ends! Training budget to help you grow in your role, gain new skills, and learn new things!
 </li>
 <li>
 Udemy Free Pass. An unlimited Udemy subscription.
 </li>
 <li>
 Flexible Schedule &amp; Unlimited Vacations. This isn&rsquo;t a &ldquo;clock in, clock out&rdquo; company. We care about your productivity, not tracking every minute you&rsquo;re on site. It&rsquo;s up to you to always be responsible with your work, no matter where you are or what schedule you&rsquo;re keeping.
 </li>
 <li>
 English Course Support. Be more global and perform best at your work.
 </li>
 <li>
 Comprehensive Well-being Support. Through our partnership with Meditopia, we now offer free psychological counseling, along with additional services like dietitian, personal trainer, parenting consultant, physiotherapist, child &amp; adolescent therapist, and face-to-face counseling for employees in Istanbul.
 </li>
 <li>
 A Top-Notch Office. Located at the heart of Istanbul, right next to Levent Metro Station at Ferko Signature.
 </li>
 <li>
 Codebrew. Yes, you&rsquo;ve heard it right: We love coffee so much that we&rsquo;ve built our own coffee shop inside our office, where we also provide healthy snacks at certain hours.
 </li>
 <li>
 Free Breakfast. At Codebrew - every morning at 9:30 AM.
 </li>
 <li>
 No Dress Code. Dress as you like.
 </li>
 <li>
 Happy Hours Every Friday. Every. Single. Friday. When it&rsquo;s 5 PM: Screens off, party on! (Check out Codeway on Instagram)
 </li>
 <li>
 Dream Team. Average Codeway member is young, talented, and passionate - which makes our working environment extremely dynamic. Need proof? Take a look at our Instagram.
 </li>
 <li>
 Gaming Area. Whenever you need to take a break from hard work and relax with your favorite games, our PS5 corner will be waiting for you.
 </li>
 <li>
 Software Support. Subscription to any software you might need to perform at your best.
 </li>
 <li>
 Public Transportation Support. Daily public transportation support is on us, covered by an additional monthly compensation.
 </li>
 <li>
 Parent Support. Becoming a parent is a big moment, and Codeway celebrates it with you. We offer a one-time grant to support our new parents.
 </li>
 <li>
 Massage Room. When you need a moment to recharge and unwind, our massage chair room will be ready to offer you a relaxing break.
 
 
 
 
 </li>
 </ul>
 
 THE RECRUITING PROCESS
 
 
 
 We are committed to keeping our recruitment process short and transparent. Here&rsquo;s how it looks like:
 
 
 
 <ul>
 <li>
 Application: Send us your CV or LinkedIn profile. You can also just write a few words about yourself.
 </li>
 <li>
 Case Study: We might send you a task to solve.
 </li>
 <li>
 Talent &amp; Culture Interview: Let&rsquo;s talk about your experience &amp; expectations and see what we can achieve together.
 </li>
 <li>
 Technical Interview: You will meet with future team lead to go over the case and your technical capabilities in detail.
 </li>
 <li>
 Reference Check: We will contact your references to gain insights into your past experiences and work ethic.
 </li>
 <li>
 Welcome Aboard! You are now a part of the team.
 
 
 
 
 </li>
 </ul>
 
 Your personal data that will be collected through your applications made due to this advertisement will be processed automatically by the data controller Codeway in accordance with the Personal Data Protection Law No. 6698 ("KVKK") and relevant legislation for the purpose of conducting job application processes. You can access detailed information on this matter from the
 
 
 
 "Candidate Information Notice"
 
 
 
 page at
 
 
 https://www.codeway.co
 
 
 . Codeway processes the personal data of job applicants in accordance with relevant legislation. "
 
 
 
 Privacy Notice for Employee Candidate
 
 
 "
 
 summarizes the data processing procedures during the application process.
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu Codeway taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir. Detayl&inodot; bilgiye
 
 
 https://www.codeway.co
 
 
 adresindeki
 
 
 
 "Aday Ayd&inodot;nlatma Metnimizin"
 
 
 
 sayfas&inodot;ndan ula&scedil;abilirsiniz. Codeway, i&scedil; ba&scedil;vurusu yapan adaylar&inodot;n ki&scedil;isel verilerini, ilgili mevzuat &ccedil;er&ccedil;evesinde i&scedil;lemektedir.
 
 
 
 "&Ccedil;al&inodot;&scedil;an Aday&inodot; &Idot;&ccedil;in Gizlilik Bildirimi"
 
 
 
 ba&scedil;vuru s&uuml;recindeki veri i&scedil;leme s&uuml;re&ccedil;lerini &ouml;zetler.
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
</div>

MLOps/Platform Engineer

Commencis

<div>
 
 We are currently seeking a highly skilled
 
 Senior Consultant
 
 to join our team.
 
 
 
 
 
 As a
 
 Senior Consultant in Industry Solutions
 
 , you&rsquo;ll partner with leading enterprises across finance, insurance, and travel to reimagine their digital transformation journey. You will connect business ambition with existing and emerging technologies like GenAI, ML, Cloud Technologies and 5G, shape C-level strategies, and turn complex challenges into measurable impact. Your role blends strategic advisory, solution design, and hands-on delivery alignment.
 
 
 
 
 
 
 If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!
 
 
 
 
 
 
 
 
 
 
 What You Will Do:
 
 
 
 
 
 
 
 Discovery &amp; Strategy
 
 
 
 
 
 <ul>
 <li>
 Lead executive discovery sessions to identify goals, pain points, and success metrics.
 </li>
 <li>
 Facilitate workshops to align stakeholders around priorities, value, and the transformation roadmap.
 </li>
 <li>
 Translate business challenges into actionable digital strategies across sales, service, operations, and compliance utilizing existing and emerging technologies (generative AI, ML, cloud technologies, 5G etc.).
 </li>
 </ul>
 
 
 
 
 
 Solution Design &amp; Value Building
 
 
 
 
 
 <ul>
 <li>
 Define solution architectures and delivery plans with Product Managers, Solution Architects, Data &amp; AI Leads, and Engineering teams.
 </li>
 <li>
 Evaluate feasibility of AI and GenAI initiatives, including data readiness, architecture implications, integration with core systems, model lifecycle, and regulatory and ethical constraints.
 </li>
 <li>
 Develop persuasive materials: business cases, ROI/TCO models, prototypes, and board-ready narratives.
 </li>
 <li>
 Present and defend recommendations to senior leadership, guiding decisions from evaluation to commitment.
 </li>
 </ul>
 
 
 
 
 
 Client Engagement &amp; Delivery
 
 
 
 
 
 <ul>
 <li>
 Co-own presales with account teams: RFPs/RFIs, scoping, estimates, and proposals.
 </li>
 <li>
 Ensure seamless handoff to delivery and track business outcomes against the original case.
 </li>
 <li>
 Collaborate with clients to refine delivery and realize measurable value.
 </li>
 </ul>
 
 
 
 
 
 Thought Leadership
 
 
 
 
 
 <ul>
 <li>
 Produce industry POVs, case studies, and conference materials that demonstrate domain leadership.
 </li>
 <li>
 Stay ahead of emerging technologies and regulations to advise clients on safe cloud, data, and AI adoption.
 </li>
 </ul>
 
 
 
 
 
 Domain Focus
 
 
 
 
 
 <ul>
 <li>
 
 Finance:
 
 Digital onboarding, payments, open banking (PSD2), ISO 20022, AML/KYC, fraud, and contact-center modernization, and AI adoption.
 </li>
 <li>
 
 Insurance:
 
 Digital quote/bind/issue, claims automation, underwriting workbenches, telematics pricing, and IFRS 17/Solvency II compliance, and AI adoption.
 </li>
 <li>
 
 Travel &amp; Airlines:
 
 NDC and ONE Order, offer/order management, loyalty, disruption and revenue management, airport operations, and AI adoption.
 </li>
 </ul>
 
 
 
 
 
 Technology &amp; Methods
 
 
 
 
 
 <ul>
 <li>
 Cloud architectures, microservices, APIs, event streaming, data platforms, MLOps, and responsible AI.
 </li>
 <li>
 Process improvement via journey mapping, service blueprints, lean, value-stream mapping, and OKRs.
 </li>
 <li>
 Governance and risk frameworks covering privacy, security, model risk, and compliance by design.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 7&ndash;10+ years in consulting, product, or solutions roles delivering digital transformation in one or more of: banking/payments, insurance, airlines/travel.
 </li>
 <li>
 Proven record leading C-level conversations from discovery to decision and influencing multi-stakeholder buys.
 </li>
 <li>
 Experience in data and AI-driven solutions is strongly preferred: analytics, ML/GenAI use cases, or AI-enabled digital products.
 </li>
 <li>
 Strong structured problem-solving skills; skilled at building options, trade-offs, and clear recommendations.
 </li>
 </ul>
 
 
 
 
 
 Success Metrics:
 
 
 
 
 
 <ul>
 <li>
 Qualified pipeline and win rate influenced.
 </li>
 <li>
 Executive alignment achieved by milestone (e.g., signed problem statement, agreed KPIs).
 </li>
 <li>
 Business outcomes delivered vs. case (revenue lift, cost/outcome improvements, risk reduction).
 </li>
 <li>
 Adoption and impact of AI and data-driven initiatives delivered with clients.
 </li>
 <li>
 Client satisfaction (NPS/CSAT) and referenceability.
 </li>
 <li>
 Thought leadership assets published and adopted.
 </li>
 </ul>
 
 
 
 
 
 Why Commencis?
 
 
 
 
 
 
 
 We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:
 
 
 
 
 
 
 
 Competitive Compensation &amp; Benefits:
 
 We offer a competitive salary, private health insurance, pension and retirement plans through a company-backed pension system, meal card, commute compensation, work-from home support and paid birthday off.
 
 
 
 
 
 
 Happier Weekdays:
 
 We offer flexible working hours including remote working option. Online events, guest speakers, refreshments in the office, meeting-light culture, and many more to enjoy the weekdays.
 
 
 
 
 
 
 Never Stop Learning:
 
 We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.
 
 
 
 
 
 
 Community &amp; Socials:
 
 We are a tight-knit community that loves gathering. Our social activities include happy hours, workshops, new year party, breakfast &amp; lunch get-togethers, movie nights, and our Summer Festival.
 
 
 
 
 
 
 Open Culture:
 
 We maintain a flat organizational structure with a culture of direct and open communication. We value Commencers&rsquo; voices and address any suggestions and questions you may have.
 
 
 
 
 
 
 About Commencis
 
 
 
 
 
 
 Join us in paving the way for a thriving digital society!
 
 
 
 
 
 Commencis has more than two decades of expertise in the world of experience design, software engineering and cloud technologies. Our products and solutions are used by leading brands in financial services, insurance, airlines and retail in more than 20 countries.
 
 
 
 
 
 We help our clients around the globe to commence their next evolution and pave the way for a thriving digital society. We love discovering what&rsquo;s next. We value collaboration, curiosity, and an open mindset at work.
 
 
 
 
 
 If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!
 
 
 
 
 
 
 We will process your personal data as part of our recruitment procedures. To find out more, please consult our Candidate Privacy Notices.
 
 
 
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
 
 
 
 
</div>

Senior Consultant, Industry Solutions – Finance, Insurance & Travel

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