software engineer

field service engineer

residential engineer

solution engineer

agentic ai engineer

ai engineer agent systems llms

Depixen

<div>
 <p>
  <span>
   We are seeking a skilled AI Engineer to design, build, and deploy our core AI agent systems. You will be instrumental in taking our ideas from research prototypes to robust, production-ready applications that deliver real value to our users.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Stay updated with the latest advancements in AI and integrate them into projects.
   </span>
  </li>
  <li>
   <span>
    Design and develop AI solutions using language models and agent frameworks.
   </span>
  </li>
  <li>
   <span>
    Develop, train, and optimize AI models.
   </span>
  </li>
  <li>
   <span>
    Own the AI/ML stack from prototype to production.
   </span>
  </li>
  <li>
   <span>
    Create algorithms tailored to project requirements.
   </span>
  </li>
  <li>
   <span>
    Collaborate with team members to successfully complete projects on time.
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Bachelor&rsquo;s in Computer Science, Electrical Engineering, AI Engineering, or related fields.
   </span>
  </li>
  <li>
   <span>
    At least 5 years of experience in machine learning or software engineeering with a focus on AI.
   </span>
  </li>
  <li>
   <span>
    1+ years of hands-on experience building applications with Large Language Models [LLMs].
   </span>
  </li>
  <li>
   <span>
    Strong proficiency in Python and experience with modern LLM frameworks [e.g., LangChain, LangGraph, CrewAI]
   </span>
  </li>
  <li>
   <span>
    Proven experience with the full ML Ops lifecycle: building, testing, deploying, and monitoring models in production [using tools like Docker, Kubernetes, MLflow, Weights &amp; Biases].
   </span>
  </li>
  <li>
   <span>
    Solid understanding of vector databases and their application in RAG systems.
   </span>
  </li>
  <li>
   <span>
    Strong communication skills and a team-oriented attitude.
   </span>
  </li>
  <li>
   <span>
    Ability to learn quickly and adapt to new technologies.
   </span>
  </li>
  <li>
   <span>
    Experience in image processing techniques is a plus.
   </span>
  </li>
 </ul>
</div>


AI Engineer [Agent Systems & LLMs]

Turkish Technology

<div>
 <p>
  <strong>
   About the team:
  </strong>
 </p>
 <p>
  You will be joining a newly formed and fast-growing team that is dedicated to innovation and excellence. This team leverages the latest technologies and adheres to modern development standards to create state-of-the-art logistics solutions. Designed for global use, our products aim to set new standards in the industry, solving complex challenges with precision and scalability. By joining this forward-thinking team, you will have the opportunity to contribute to a project with a global vision and a strong focus on quality and impact.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the role:
  </strong>
 </p>
 <p>
  We are on a mission to accelerate intelligent transformation through cutting-edge AI capabilities. We are seeking a passionate and experienced AI Engineer to join our dynamic team and lead the development of agentic AI systems and machine learning pipelines across enterprise and customer-facing domains.
 </p>
 <p>
  In this role, you will architect and deploy advanced multi-agent systems&mdash;combining LLMs, RAG pipelines, predictive ML models, and human-in-the-loop mechanisms&mdash;to deliver scalable, safe, and adaptive automation. You will play a key role in shaping the future of intelligent workflows by integrating state-of-the-art AI/ML tools and collaborating closely with software, data, and security architects to ensure seamless end-to-end solutions.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position located at:
  </strong>
  Libadiye Office
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   This position will be:
  </strong>
 </p>
 <p>
  As an AI Engineer, you will be responsible for designing and implementing agentic AI and ML-driven automation systems that serve both enterprise operations and customer-facing processes. This includes developing multi-agent architectures, training &amp; deploying ML models, and establishing robust human-in-the-loop mechanisms to ensure reliability, safety, and adaptability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key responsibilities include:
  </strong>
 </p>
 <ul>
  <li>
   Design &amp; build multi-agent systems with orchestration logic for complex workflows
  </li>
  <li>
   Develop ML models (classification, regression, recommendation, clustering) using libraries such as scikit-learn, XGBoost, LightGBM, and HuggingFace Transformers
  </li>
  <li>
   Integrate ML and LLM outputs via RAG pipelines, semantic search, vector search, and agent memory architectures
  </li>
  <li>
   Implement feature engineering, data preprocessing, and missing data handling strategies to ensure model robustness
  </li>
  <li>
   Build and optimize end-to-end MLOps pipelines on cloud platforms (AWS, Azure, GCP) using MLflow, Kubeflow, Docker, and Kubernetes
  </li>
  <li>
   Develop and maintain agentic workflows using CrewAI, LangGraph, LangChain, N8N, and integrate with APIs, databases, and AI-powered tools
  </li>
  <li>
   Fine-tune LLMs and ML models using embedding strategies, hyperparameter optimization, and quantization/distillation techniques
  </li>
  <li>
   Apply model evaluation metrics (accuracy, precision, recall, F1, ROC-AUC, MSE) to track performance and detect drift
  </li>
  <li>
   Implement and monitor guardrails, reflection loops, output verification, and bias/fairness checks for AI/ML outputs
  </li>
  <li>
   Collaborate with cross-functional teams to align AI/ML solutions with business goals and operational constraints
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   How do we describe the perfect match?
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field
  </li>
  <li>
   5+ years of experience in AI, machine learning, and/or software engineering, with proven delivery of production-grade AI/ML systems
  </li>
  <li>
   Strong expertise in agentic AI, LLM systems, RAG pipelines, and ML model development.
  </li>
  <li>
   Hands-on experience with CrewAI, N8N, LangChain, LangGraph, LangFlow, LangSmith, OpenAI API and AWS services (Lambda, S3, API Gateway, ECR)
  </li>
  <li>
   Proficiency in Python (pandas, NumPy, scikit-learn, SciPy, XGBoost) and SQL for data manipulation, analysis, and feature engineering
  </li>
  <li>
   Experience with vector databases (Pinecone, Weaviate, Chroma, Qdrant) and semantic search
  </li>
  <li>
   Background in predictive modeling, statistics, and ML evaluation metrics (precision, recall, F1, ROC-AUC, MSE)
  </li>
  <li>
   Experience building MLOps pipelines using MLflow, Kubeflow, or SageMaker; deploying to containerized environments (Docker, Kubernetes, OpenShift)
  </li>
  <li>
   Familiarity with AI-assisted development tools (Cursor, GitHub Copilot) in daily workflows.
  </li>
  <li>
   Ability to communicate AI/ML concepts clearly to both technical and non-technical audiences
  </li>
  <li>
   Strong problem-solving skills, analytical thinking, and a data-driven mindset
  </li>
  <li>
   Proficient communication skills in English
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Benefits Of Working With Us
  </strong>
 </p>
 <p>
  <em>
   In addition to having the opportunity to grow and be challenged, and to be part of a life, our people enjoy a range of rewarding benefits:
  </em>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Flexible working arrangements, generous personal, parental and cultural leave
  </li>
  <li>
   Competitive remuneration
  </li>
  <li>
   Free and subsidized health and wellbeing services
  </li>
  <li>
   Discounts on a wide range of products and services
  </li>
  <li>
   Career development opportunities
  </li>
  <li>
   A buddy who will guide and accompany you during your onboarding process
  </li>
  <li>
   A great number of online courses and technical trainings that will support your development
  </li>
  <li>
   Personalized development plan for you
  </li>
  <li>
   Using CED &amp; Pass Flight for travelling experience with your family
  </li>
  <li>
   Support payment for childcare
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Be Yourself
  </strong>
 </p>
 <p>
  We value the unique backgrounds, experiences and contributions that each person brings to our team and encourage and celebrate diversity.
 </p>
 <p>
  <br/>
 </p>
 <p>
  If you would like to get to know more about Turkish Airlines Technology, please follow us on Instagram and LinkedIn;
 </p>
 <p>
  https://www.instagram.com/turkishairlinstechnology/
 </p>
 <p>
  https://www.linkedin.com/company/thyteknoloji/
 </p>
</div>


AI Engineer (Libadiye Office)

Oredata Yazılım Anonim Şirketi

<div><p>OREDATA is a Digital Transformation &amp; IT Consulting firm with 10+ years of proven expertise and hundreds of successfully implemented projects across the EMEA region. When you join the OREDATA team, you'll be working hand-in-hand with experts focused on tackling digital, operational, analytical &amp; data science challenges with the greatest impact. We foster collaboration with proximity, an agile and autonomous approach and best practices and guiding principles.</p><p>
Read more: https://medium.com/@oredata-engineering</p><p>
Apply and be part of our exciting journey!</p><p></p><p><b>
Responsibilities:</b></p><ul>
<li>Design and Develop Agentic AI Systems: Architect, develop and deploy intelligent agent systems that exhibit autonomous decision-making and action-taking capabilities, leveraging large language models (LLMs) and other advanced AI techniques.</li>
<li>Data Analysis &amp; Predictive Modeling: Analyze and interpret large, complex datasets using advanced statistical techniques and machine learning algorithms. Develop and implement predictive models, including recommendation engines, to identify patterns, trends, and actionable insights.</li>
<li>Feature Engineering &amp; Data Orchestration: Lead the collection, cleaning, organization, and transformation of large, complex datasets from multiple sources into high-quality features for training and evaluating AI models.</li>
<li>System Integration &amp; Scalability: Build and maintain scalable software infrastructure and data pipelines required for AI/ML and agentic AI deployments. Ensure the seamless integration of AI agents with existing systems and workflows.</li>
<li>Cross-functional Collaboration &amp; Communication: Collaborate effectively with cross-functional teams, including product managers, data scientists, and business stakeholders, to understand business needs, translate them into AI solutions, and present complex findings and data-driven results in a clear and concise manner to diverse audiences.</li>
<li>Innovation &amp; Research: Drive innovation in agentic AI methodologies, tools, and applications within the organization. Conduct research and experimentation with new generative AI and agentic techniques, staying abreast of the latest advancements in the field.</li>
<li>Performance Optimization &amp; Monitoring: Optimize agent workflows for reliability, safety and performance. Implement robust monitoring and evaluation frameworks for deployed AI agent systems.</li>
</ul><p><b>Requirements:</b></p><ul>
<li>Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a relevant field.</li>
<li>Proven experience<b> 5 to 10 years</b> in software development, with a strong focus on AI/ML engineering.</li>
<li>Demonstrated experience in building and deploying AI agent systems or similar autonomous systems.</li>
<li>Solid understanding of machine learning algorithms, statistical modeling and data analysis techniques.</li>
<li>Proficiency in Python and relevant AI/ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn).</li>
<li>Experience with prompt engineering and fine-tuning Large Language Models (LLMs).</li>
<li>Strong problem-solving and analytical skills with an ability to translate complex data into actionable business strategies.</li>
<li>Excellent communication, presentation, and interpersonal skills, with the ability to convey technical concepts to non-technical stakeholders.</li>
</ul><p><b>Preferred Qualifications</b></p><ul>
<li>Experience with cloud computing platforms, particularly Google Cloud Platform (GCP).</li>
<li>Familiarity with specific Agentic AI frameworks such as Google Cloud ADK (Agent Development Kit), CrewAI, LangChain etc.</li>
<li>Experience with MLOps principles and tools for model deployment and monitoring.</li>
<li>Knowledge of techniques for grounding generative models with external knowledge sources (e.g., Retrieval-Augmented Generation - RAG, Knowledge Graphs).</li>
<li>Experience with multi-agent systems and orchestration.</li>
</ul><p><b>Get to know us</b></p><p>
If you want to know more about us and what we do, then visit our website: www.oredata.com</p><p><b>
Why Oredata?</b></p><ul>
<li>Remote working and flexible time off</li>
<li>Open communication, flexibility and start-up spirit</li>
<li>Learning &amp; Development opportunities for both personal and professional growth</li>
<li>Opportunity to get company paid Professional Certificates (Google Cloud Platform, Confluent Kafka, etc)</li>
<li>Access to Online Training Platforms (Udemy, Pluralsight, A Cloud Guru, Coursera, etc.)</li>
<li>Dynamic work ecosystem where you can take initiative and responsibility</li>
<li>Opportunity to work on international projects</li>
<li>Private Health Insurance</li>
<li>Birthday Leave Policy</li>
</ul><p></p><p><b>Ki&#351;isel verileriniz i&#351;e al&#305;m s&uuml;recinin y&uuml;r&uuml;t&uuml;lebilmesi amac&#305;yla veri sorumlusu s&#305;fat&#305;yla &#351;irketimiz Oredata Yaz&#305;l&#305;m A.&#350;. taraf&#305;ndan i&#351;lenecektir.</b> Ki&#351;isel verilerinizin i&#351;lenmesi ve haklar&#305;n&#305;zla ilgili detayl&#305; bilgiye https://oredata.com/personal-data-protection-policy/ ba&#287;lant&#305;s&#305; &uuml;zerinden ula&#351;abilirsiniz.</p></div><p></p>

Agentic AI Engineer

<p></p><div><div><div><div><div><div><h1 class="jobSectionHeader"><b>Long Term Intern - Systems Engineer - ADAS/AD</b></h1><p></p><p><br>
We are looking for an enthusiastic <b>Intern</b> to support the development of automated driving technologies (ADAS/AD). During your internship, you will work closely with our engineering team and contribute to different phases of ADAS/AD system development, from requirements to validation.</p><br>
<p></p>
<ul>
<li>Supporting the development and documentation of functional/non-functional requirements of ADAS/AD features,</li>
<li>Assisting in system design and modeling activities,</li>
<li>Supporting the preparation and execution of simulations for ADAS/AD scenarios,</li>
<li>Helping with research on new technologies and standards in automated driving,</li>
<li>Working with AVL global experts and contributing to R&amp;D activities.</li></ul><br>
<p></p>
<p><b>
Qualifications:</b></p><br>
<p></p>
<ul>
<li>3 - 4th year undergraduate student in Electrical / Mechatronics / Control / Automotive Engineering or related technical field is preferred. <b>Graduation Date: December 2026</b></li>
<li>Interest in automated driving and vehicle technologies,</li>
<li>Good understanding of fundamentals of AI technologies (LLMs, VLAs, autonomous agents)</li>
<li>Basic knowledge in system engineering, ADAS/AD simulation, systems safety</li>
<li>Having programming experience in any language (Pyhton, C#, etc) is a plus</li>
<li>Good command of English (German is a plus),</li>
<li>Motivation to learn, team spirit, and willingness to take initiative.</li></ul><br>
<p></p>
<p><b>Interested?</b><br>
If so, please use our online application tool to send your application to AVL!</p>
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>About AVL</b></h2><p>
AVL is one of the world&rsquo;s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.</p>
<p>Find out more: www.avl.com</p>
</div></div><div><div><h2 class="jobSectionHeader"><b>You are interested in a job at AVL but you are not sure how to apply or want to know what happens after you send your application?</b></h2><p><b>
Check out our step-by-step guide</b></p>
</div></div><div><div><h2 class="jobSectionHeader"><b>AVL is not just about cars. It's about changing the future. Together.</b></h2>
</div></div></div><div><div><div><div><div>Location:
Istanbul, TR
</div></div></div></div><div><div><div><div>Company: AVL Research &amp; Engineering
</div></div></div></div><div><div><div><div>Job Function: ADAS/AD
</div></div></div></div><div><div><div><div>Contract Type: Permanent
</div></div></div></div><div><div><div><div>Posting Date: Aug 29, 2025
</div></div></div></div><div><div><div><div>Job ID: 38539
</div></div></div></div><div><div><h2 class="jobSectionHeader"><b>About AVL</b></h2><p>
AVL is one of the world&rsquo;s leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. We provide concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.</p>
<p>Find out more: www.avl.com</p><br>
</div></div></div><p><br>
<b>Job Segment: </b>Systems Engineer, Entry Level Engineer, Engineer, Engineering, Research, Automotive</p></div>

Long Term Intern - Systems Engineer - ADAS/AD

Yıldız Tech

<div>
 <p>
  The story of Y&inodot;ld&inodot;z Holding, which started with biscuit production in Istanbul in 1944, continues today with our food-snack products that we have reached 4 billion people in 5 continents with more than 300 brands and with our retail companies all over Turkey. With our 72 thousand employees, the majority of whom are located in Turkey, we aim to reach the better without stopping, and we produce a wide range of products from biscuits to chocolate, from frozen food to packaging in a total of 46 factories, 25 of which are abroad. We always raise the bar in economic contribution, employment, exports, social solidarity and sustainability. We give priority to social contribution with the principle of "Make Happy Be Happy" and we have been producing happiness for more than 75 years with our products, services and sustainable social responsibility understanding.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Our company Y&inodot;ld&inodot;z Tech, established to support the software development journeys of our digital applications within our group and to create innovative solutions, aims to enable our customers operating in the e-commerce sector to make the most of next-generation technologies, achieve success through digital and analytical solutions, and capitalize on emerging opportunities to attain sustainable benefits.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Y&inodot;ld&inodot;z Tech&rsquo;s Digital Transformation team is looking for an
  <strong>
   Advanced Analytics Head
  </strong>
  to lead the strategic direction, development, and execution of advanced analytics initiatives. In this leadership role, you will be responsible for aligning analytics efforts with business goals, understanding stakeholder needs, and enabling data-driven decision-making across the organization.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Awaits You, What Will Be Your Responsibilities?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Develop and implement strategic analytics plans aligned with company objectives.
  </li>
  <li>
   Lead and manage the analytics team, including task planning, resource allocation, and performance monitoring.
  </li>
  <li>
   Oversee the design and implementation of data collection, storage, analysis, and reporting strategies.
  </li>
  <li>
   Manage complex analytics projects, ensuring timely delivery within budget.
  </li>
  <li>
   Collaborate with business units to understand requirements and deliver customer-focused analytic solutions.
  </li>
  <li>
   Ensure compliance with data security standards and regulatory requirements.
  </li>
  <li>
   Analyze market trends and provide strategic recommendations based on predictive insights.
  </li>
  <li>
   Select and manage advanced analytics tools and technologies.
  </li>
  <li>
   Define KPIs and performance metrics for analytics initiatives and generate regular reports.
  </li>
  <li>
   Stay up-to-date with the latest trends in AI, data science, and analytics technologies.
  </li>
  <li>
   Documenting analysis methods, findings, and results in clear and concise reports.
  </li>
  <li>
   Preparing presentations and documentation to communicate project outcomes to stakeholders and team members.
  </li>
  <li>
   Deploying machine learning models into production environments using containerization, orchestration, and model serving frameworks.
  </li>
  <li>
   Exploring, fine-tuning, and applying Large Language Models (LLMs) and agentic AI solutions to address business needs and automation opportunities.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Will Be the Qualifications We Expect From You?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science/Engineering, Industrial Engineering (or other related engineering fields), Data Science, Statistics, Mathematics or Business Administration (Master&rsquo;s degree preferred).
  </li>
  <li>
   Minimum 7+ years of progressive experience in advanced analytics, data science, or a similar role.
  </li>
  <li>
   Strong programming and scripting skills in Python (packages: pandas, NumPy, matplotlib, scikit-learn, TensorFlow, PySpark, etc.).
  </li>
  <li>
   Deep understanding of machine learning, predictive modeling, optimization techniques, and data visualization.
  </li>
  <li>
   Experience in managing cross-functional teams and driving results in dynamic environments.
  </li>
  <li>
   Strong business acumen with the ability to translate complex analytical findings into actionable strategies.
  </li>
  <li>
   Experience in data governance, ensuring data integrity, security, and regulatory compliance.
  </li>
  <li>
   Excellent communication and presentation skills for both technical and non-technical audiences.
  </li>
  <li>
   Excellent command of English.
  </li>
  <li>
   Proactive problem-solving skills and ability to thrive in fast-paced environments.
  </li>
  <li>
   Continuous learning mindset with a passion for staying current in analytics and technology.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The following qualifications are a plus:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Understanding and hands-on experience with Large Language Models (LLMs) and agentic AI frameworks, including fine-tuning, embedding models, prompt engineering, or agent orchestration (e.g., LangChain, OpenAI APIs, Hugging Face Transformers).
  </li>
  <li>
   Hands-on experience in deploying machine learning models using tools such as Docker, Kubernetes, and CI/CD pipelines (e.g., Jenkins, GitLab CI).
  </li>
  <li>
   Familiarity with model serving frameworks such as MLflow, FastAPI, or TorchServe.
  </li>
  <li>
   Practical experience with cloud platforms such as AWS and/or Azure, especially in infrastructure management, data storage, networking, and resource provisioning (e.g., S3, Blob Storage, EC2, VMs, IAM).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What Will Happen to Those Who Feature You?
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Effective communication and stakeholder management skills
  </li>
  <li>
   Strong leadership and team management capabilities
  </li>
  <li>
   Strategic thinking and result-oriented mindset
  </li>
  <li>
   Ability to manage multiple cross-organizational projects
  </li>
  <li>
   Analytical and problem-solving perspective
  </li>
  <li>
   Hands-on experience in deploying machine learning models into production environments
  </li>
  <li>
   Curiosity and practical experience with Large Language Models (LLMs) and agentic AI frameworks
  </li>
  <li>
   Proficiency in MS Office and data visualization tools
  </li>
  <li>
   Multitasking and prioritization skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  &ldquo;&Ccedil;al&inodot;&scedil;an Aday&inodot; Ayd&inodot;nlatma Metni i&ccedil;in ;
  <strong>
   https://www.yildizholding.com.tr/tr/kisisel-verilerin-korunmasi
  </strong>
  sayfam&inodot;z&inodot; ziyaret edebilirsiniz.&rdquo;
 </p>
</div>


Advanced Analytics Head

Vodafone

<div><div><div><div><h2 class="jobSectionHeader"><b>Join Us</b></h2>
</div><div><p>
At Vodafone, we&rsquo;re not just shaping the future of connectivity for our customers &ndash; we&rsquo;re shaping the future for everyone who joins our team. When you work with us, you&rsquo;re part of a global mission to connect people, solve complex challenges, and create a sustainable and more inclusive world. If you want to grow your career whilst finding the perfect balance between work and life, Vodafone offers the opportunities to help you belong and make a real impact.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What you&rsquo;ll do</b></h2>
</div><div><p>
As a Lead NLP Engineer specializing in Generative AI, you will spearhead the design, development, and deployment of cutting-edge GenAI solutions across various business domains. You will collaborate with cross-functional teams including data science, product management, and business stakeholders to drive innovation and scalability in AI initiatives. In this leadership role, you will be responsible for mentoring senior and junior AI engineers and aligning technical strategy with business goals.<br>
<br>
You will also act as a business translator, ensuring that AI initiatives are closely aligned with business needs and that technical concepts are clearly communicated to non-technical stakeholders. A strong understanding of business processes, value creation, and AI&rsquo;s strategic impact is essential for success in this role.
<br>
<br>
Key Responsibilities<br>
<br>
Lead the design and implementation of Generative AI models (e.g., LLMs, diffusion models) tailored to business needs<br>
<br>
Architect scalable and secure AI pipelines leveraging cloud/on-prem infrastructure<br>
<br>
Guide the development and fine-tuning of LLMs using PEFT, prompt engineering, or RAG<br>
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Evaluate and integrate open-source and proprietary GenAI tools<br>
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Collaborate with product and domain teams to identify and prioritize impactful GenAI use cases<br>
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Translate business requirements into technical solutions and vice versa<br>
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Act as a liaison between technical teams and business stakeholders to ensure alignment and understanding<br>
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Ensure AI solutions comply with responsible AI, privacy, and security standards<br>
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Mentor and coach AI team members, supporting their technical growth<br>
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Monitor emerging trends in GenAI and proactively suggest innovative applications</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Who you are</b></h2>
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MSc or PhD in Computer Science, AI, Machine Learning, or a related field (PhD preferred)<br>
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6+ years of experience in AI/ML, with at least 2 years in Generative AI projects<br>
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Proficiency in Python and ML libraries such as PyTorch, TensorFlow, Hugging Face<br>
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Strong understanding of transformer architectures and LLM frameworks<br>
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Experience deploying AI solutions in production environments<br>
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Familiarity with vector databases, RAG pipelines, LangChain, or similar tools<br>
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Strong business acumen and the ability to understand and shape business value through AI<br>
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Proven ability to translate business problems into AI solutions and communicate results clearly<br>
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Excellent communication and leadership skills<br>
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Experience in telecom or regulated industries is a plus</p></div></div><div><div><h2 class="jobSectionHeader"><b>
Not a perfect fit?</b></h2>
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Worried that you don&rsquo;t meet all the desired criteria exactly? At Vodafone we are passionate about empowering people and creating a workplace where everyone can thrive, whatever their personal or professional background. If you&rsquo;re excited about this role but your experience doesn&rsquo;t align exactly with every part of the job description, we encourage you to still apply as you may be the right candidate for this role or another opportunity.</p></div></div><div><div><h2 class="jobSectionHeader"><b>
What's in it for you</b></h2>
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We like to keep them flexible:<br>
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<ul><li>Vflexy: Flexible Benefits Program</li><li>Hybrid working kit</li><li>Ergonomic kit allowance</li><li>Digital meal voucher</li><li>Flexible transportation allowance.</li><li>Employee assistance hotline &amp; counselling</li><li>Comprehensive and flexible private health insurance</li><li>Discounted price deals for wide range of products &amp; services</li></ul><br>
Plus, plenty more to enjoy!If you want to know more about us and what we do, then visit our website: www.vodafone.com.tr<br>
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https://www.vodafone.com.tr/insan-kaynaklari<br>
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Instagram: https://www.instagram.com/vodafonekariyer/<br>
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Youtube: https://www.youtube.com/user/VFTurkiye<br>
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Data Privacy<br>
By applying for this job, you accept the Vodafone Privacy Policy. Please visit Privacy Policy web page at https://careers.vodafone.com/privacy-policy/turkey/ for further details.</div></div></div><div><div><h2 class="jobSectionHeader"><b>
Who we are</b></h2>
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We are a leading international Telco, serving millions of customers. At Vodafone, we believe that connectivity is a force for good. If we use it for the things that really matter, it can improve people's lives and the world around us. Through our technology we empower people, connecting everyone regardless of who they are or where they live and we protect the planet, whilst helping our customers do the same.</p><p>
Belonging at Vodafone isn't a concept; it's lived, breathed, and cultivated through everything we do. You'll be part of a global and diverse community, with many different minds, abilities, backgrounds and cultures. ;We're committed to increase diversity, ensure equal representation, and make Vodafone a place everyone feels safe, valued and included.</p><p>
If you require any reasonable adjustments or have an accessibility request as part of your recruitment journey, for example, extended time or breaks in between online assessments, please refer to https://careers.vodafone.com/application-adjustments/ for guidance.</p><p>
Together we can.</p></div></div></div></div>

Lead NLP Engineer

PragmaCraft

<p><i>Ready to be part of the post-modern industrial revolution led by Large Language Models (LLMs)?</i></p><p><i>Do you want to shape the future in the world of Generative AI?</i></p><p><b>We Are</b></p><p>PragmaCraft is a small, developer-centric software start-up specializing in crafting state-of-the-art AI software. Our focus is on delighting users through research and development in Generative AI, Natural Language Processing, Deep Learning, LLMs, and Retrieval Augmented Generation (RAG). Founded in 2013, we've been pioneers in AI, collaborating with well-known companies and maintaining a partnership with T&uuml;rkiye's largest private bank since 2017.</p><p>Our journey began in 2012 with the idea of an Intelligent Search Assistant like today&rsquo;s ChatGPT. Since then, we have been working on everything at the intersection of Deep Learning and Natural Language Processing. Our milestones include creating the first version of Intelligent Search Assistant in 2014, deploying our first Deep Learning Project in 2015 and our first Neural Machine Translation Model in 2016. Our ambition to contribute to further advancements of NLP continues as we seek a pragmatic programmer to develop our LLM and RAG-based enterprise question-answering system, Answie. For more info, visit: https://answie.com/</p><p><b>You Are</b></p><ul><li>Experienced in AI &amp; GenAI, including building ML and DL models.</li><li>A pragmatic programmer: highly self-motivated, intelligent, and efficient. You take pride in your code's craftsmanship and the systems you build.</li><li>Positive, team-friendly, and ethical in your work.</li><li>Open to constructive feedback.</li><li>Capable of delivering GenAI/AI/ML/DL projects from start to finish, including understanding business requirements, developing architecture, data aggregation and exploration, building &amp; validating predictive models, and deploying models to impact the organization positively.</li><li>Possessing a product mindset. Taking ownership of projects by building solutions that don't just meet expectations but exceed them, turning challenges into opportunities and ideas into innovations.</li><li>Up-to-date with the latest advancements in GenAI &amp; NLP technologies and its tools.</li></ul><p><b>Must-Have Qualifications</b></p><ul><li>A deep technical understanding that spans from high-level abstractions to low-level details, aspiring to be at level 3 in the Programmer Competency Matrix.</li><li>Software engineering skills with demonstrable proficiency and understanding of best practices in Python and other programming languages.</li><li>An intuitive understanding of machine learning algorithms, including both supervised and unsupervised modeling techniques.</li><li>Experience with version control and collaboration in software projects, including proficiency in Git for branching and merging.</li><li>Familiarity with both Relational and Non-Relational Database Systems.</li><li>Hands-on experience in the Generative AI &amp; NLP field, from Word Vectors to Transformer models.</li><li>Good knowledge of deep learning algorithms and workflows, with experience in frameworks like PyTorch.</li><li>Hands-on experience with HuggingFace platform and transformers framework.</li></ul><p><b>What You'll Do</b></p><ul><li>Deliver end-to-end GenAI/AI/ML/DL solutions.</li><li>Elicit business requirements.</li><li>Aggregate, explore and analyze data.</li><li>Build, validate, and deploy predictive models.</li><li>Develop the next generation of PragmaCraft products.</li><li>Support your fellow developers through proactive communication, documentation, and peer review.</li><li>Discover cutting-edge methods and tools for addressing challenges in NLP.</li></ul><p><b>What We Offer</b></p><ul><li>Engaging projects at the forefront of Gen AI, NLP, Deep Learning, and ML.</li><li>The opportunity to learn from an experienced and collaborative team of Data Scientists, ML Researchers, and Data Architects.</li><li>A deep commitment to your career development, with support to help you improve your craft and the expectation that you'll teach us a few things along the way.</li><li>Flexible remote working, with occasional office gatherings at &#304;T&Uuml; Teknokent for those who prefer it.</li><li>Competitive compensation tailored to your experience and expertise.</li><li>Benefits such as Macbook, as well as the possibility of relocation to abroad. A trust-based work and leave schedule, and ownership of your working hours.</li><li>A voice in company decisions, regardless of your position.</li></ul><p><b>Hiring Process</b></p><p>We welcome candidates of any level, assessing not just by years of experience but also by enthusiasm and the ability to learn quickly. If your CV catches our eye, you&rsquo;ll be invited for an online interview with future co-workers. Successful candidates will then proceed to the final interview.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Where did you hear about this job posting?</li><li>How do you decide if Machine Learning is the correct solution for a business problem?</li><li>What do you think are the main challenges in GenAI and NLP projects?</li></ul><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>Python: 1 year (Required)</li><li>PyTorch: 1 year (Required)</li><li>Pandas: 1 year (Required)</li></ul><p>Language:</p><ul><li>English (Required)</li></ul>

Machine Learning Engineer (GenAI) / Remote

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