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ai data center engineer

Nets-international Communication

<p><b>Job Summary</b><br/>We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.</p><p><b>Key Responsibilities:</b></p><ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul><p><b>Required Skills &amp; Qualifications:</b></p><ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul><p>Job Type: Full-time</p><p>Ability to commute/relocate:</p><ul><li>&#305;stanbul: Reliably commute or planning to relocate before starting work (Required)</li></ul><p>Application Question(s):</p><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><p>Education:</p><ul><li>Bachelor's (Preferred)</li></ul><p>Experience:</p><ul><li>AI Data Centre Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

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

AI ML Engineer

Randstad Türkiye

<div>
 <p>
  We are looking for a
  <strong>
   <em>
    "AI Engineer"
   </em>
  </strong>
  on behalf of our global business partner runs in Telecommunication Industry, specified in Computer Vision.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <em>
   "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."
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    Master Degree
   </strong>
   from a reputable university in Computer Science/Engineering, or a related field of study, a
   <em>
    PhD degree is a big plus
   </em>
   .
  </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
   <strong>
    Pytorch
   </strong>
   , 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>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <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
   <strong>
    Computer Vision
   </strong>
   tasks.
  </li>
 </ul>
</div>


AI Engineer - Computer Vision

Dizayn VIP

<div>
 <p>
  AI Software Engineer (Python)
 </p>
 <p>
  We are looking a
  <strong>
   AI Software Engineer (Python)
  </strong>
  &nbsp;to join our team and help developing LLM powered application, text and audiobased systems.
  <strong>
   DUTIES &amp; RESPONSIBILITIES
  </strong>
 </p>
 <p>
  You will be working on an AI-powered voice assistant platform with the following key responsibilities:
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   <strong>
    API Development &amp; Integration
   </strong>
   : 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>
   <strong>
    AI/ML Implementation
   </strong>
   : 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>
   <strong>
    Cloud Infrastructure &amp; Deployment
   </strong>
   : Architect and deploy scalable solutions using Google Cloud Platform (GCP) with serverless deployment strategies, implementing efficient caching mechanisms and microservices architecture.
  </li>
  <li>
   <strong>
    System Design &amp; Database Management
   </strong>
   : Design robust system architectures with strong focus on MySQL database design, optimization, and management for enterprise-scale applications.
  </li>
  <li>
   <strong>
    Development Operations
   </strong>
   : Improve build and test systems to enhance development efficiency and reliability, managing complex repositories with Git/Git LFS best practices.
  </li>
  <li>
   <strong>
    Security &amp; Performance
   </strong>
   : Implement microservices security protocols and optimize system performance across distributed architectures.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   REQUIRED QUALIFICATIONS
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Bachelor's degree in Software Engineering, Computer Science, or related technical field
  </li>
  <li>
   <strong>
    3+ years of software development experience
   </strong>
   &nbsp;with substantial R&amp;D components in accomplished projects
  </li>
  <li>
   <strong>
    Proven experience developing enterprise applications
   </strong>
   &nbsp;with LLM integration and AI agent frameworks
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Technical Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Advanced Python programming
   </strong>
   &nbsp;with strong Object-Oriented Programming principles
  </li>
  <li>
   <strong>
    Hands-on experience with deep learning frameworks
   </strong>
   &nbsp;(e.g., PyTorch)
  </li>
  <li>
   <strong>
    Enterprise-level experience with LLMs and AI agents
   </strong>
   &nbsp;in production environments
  </li>
  <li>
   <strong>
    Google Cloud Platform (GCP) expertise
   </strong>
   &nbsp;with serverless deployment experience
  </li>
  <li>
   <strong>
    System design and architecture
   </strong>
   &nbsp;for scalable, distributed systems
  </li>
  <li>
   <strong>
    Caching mechanisms
   </strong>
   &nbsp;implementation and optimization
  </li>
  <li>
   <strong>
    REST APIs and streaming APIs
   </strong>
   &nbsp;development and management
  </li>
  <li>
   <strong>
    Strong MySQL knowledge
   </strong>
   &nbsp;including database design, optimization, and management
  </li>
  <li>
   <strong>
    Vector databases experience
   </strong>
   &nbsp;with Chroma and Weaviate for AI applications
  </li>
  <li>
   <strong>
    RAG systems expertise
   </strong>
   &nbsp;including both basic and advanced Retrieval-Augmented Generation implementations
  </li>
  <li>
   Experience with large-scale data processing and storage solutions
  </li>
  <li>
   <strong>
    Advanced Git and Git LFS
   </strong>
   &nbsp;repository management and best practices
  </li>
  <li>
   <strong>
    Microservices security
   </strong>
   &nbsp;implementation and protocols
  </li>
  <li>
   <strong>
    Agile methodology
   </strong>
   &nbsp;and software development lifecycle expertise
  </li>
  <li>
   <strong>
    Excellent understanding of Data Structures &amp; Algorithms
   </strong>
  </li>
  <li>
   <strong>
    Software design patterns and principles
   </strong>
  </li>
  <li>
   <strong>
    API security and authentication best practices
   </strong>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Fluent in English
   </strong>
   &nbsp;and
   <strong>
    Turkish
   </strong>
   (written and verbal communication)
  </li>
  <li>
   <strong>
    Continuous learning mindset
   </strong>
   &nbsp;with enthusiasm for pursuing research and adopting new technologies
  </li>
  <li>
   <strong>
    Strong problem-solving abilities
   </strong>
   &nbsp;and analytical thinking
  </li>
  <li>
   <strong>
    Collaborative team player
   </strong>
   &nbsp;with excellent communication skills
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  About Us:
 </p>
 <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)

<div>
 <p>
  We are looking for a
  <strong>
   "AI Engineer"
  </strong>
  on behalf of our global business partner runs in
  <em>
   Telecommunication Industry.
  </em>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Description:
  </strong>
 </p>
 <p>
  <strong>
   AI Engineers &ndash; Search &amp; RecSys &amp; GenAI
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    As a part of our AI teams you'll work with talented AI engineers at every level to improve our search and recommendation solutions within AppGallery. This role allows you to directly affect user experience of millions of AppGallery users.
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    You'll have a chance to thrive in a multinational environment. Within this role you can expect to carry out following tasks;
   </em>
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Design, develop, and optimize CTR prediction, graph-based models and ranking models for efficient and accurate search &amp; recommendation functionality in app store domain.
  </li>
  <li>
   Conduct feature engineering and data analysis to drive better model performance and insights.
  </li>
  <li>
   Explore and integrate generative AI techniques, LLM fine-tuning methods such as LoRA, QLoRA, or Prompt Tuning into search and recommendation systems.
  </li>
  <li>
   Develop agentic search and recommendation solutions for autonomous decision-making in search and recommendation pipelines.
  </li>
  <li>
   Design, build and deploy scalable ML services on MLOps platform to address business requirements.
  </li>
  <li>
   Collaborate with cross-functional teams to analyze complex data requirements and design innovative software solutions.
  </li>
  <li>
   Conduct code reviews to ensure high-quality, maintainable, and efficient code following industry best practices.
  </li>
  <li>
   Mentor and guide junior engineers in the areas of search, information retrieval, deep learning, and NLP.
  </li>
  <li>
   Stay updated with the latest advancements in information retrieval, ranking, deep learning, NLP, generative AI and agentic search, and integrate them into our products and services
  </li>
  <li>
   Produce academic outputs in the form of papers, patents, and technical talks.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Minimum MS degree or PHD degree with focus on RecSys, IR and DL, preferably in a computer science &amp; engineering or related fields.
  </li>
  <li>
   Minimum 3 years of experience preferably in industry.
  </li>
  <li>
   Strong Python programming skills with proven experience crafting, prototyping, and delivering machine learning solutions into production.
  </li>
  <li>
   Experience with popular deep learning frameworks (TensorFlow, PyTorch) and other ML libraries.
  </li>
  <li>
   Proven expertise in LLM-based development, RAG pipelines, and multi-agent systems.
  </li>
  <li>
   Publication records in journals or conferences related with RecSys, IR, NLP especially in the areas of ctr prediction, vector retrieval, semantic search and ranking.
  </li>
  <li>
   Experience in integrating deep models, language models (LMs), generative AI models, and ranking models for large-scale recommendation engines using these specialized techniques.
  </li>
  <li>
   Previous project experience in search or recommendation systems domain, including agentic search and recommendation approaches, is a big plus.
  </li>
  <li>
   Java service development experience using Spring and related topics &amp; technologies is a plus (RESTful services, Redis, ElasticSearch, RDBMS)
  </li>
  <li>
   Fluency in English is mandatory.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Am I right for the team?
  </strong>
 </p>
 <ul>
  <li>
  </li>
  <li>
   If you're excellent in analysis, modeling and problem-solving, and can see the essence of problems from complex data, you can be perfect fit for the task at hand.
  </li>
  <li>
   If you're easy to communicate, open for suggestions and improvements, can work independently, pro-actively and well aligned then you can be perfect fit for our team culture.
  </li>
 </ul>
</div>


Artificial Intelligence Engineer

Commencis

<div><div>We are currently seeking a highly skilled <b>Senior Consultant </b>to join our team.</div><div></div><div><br>
As a <b>Senior Consultant in Industry Solutions</b>, 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.</div><div></div><div><b><br>
If you are curious by nature, adaptive, collaborative, and always one step ahead, then join us and be a Commencer!</b></div><div></div><div><b><br>
What You Will Do:</b></div>
<h3 class="jobSectionHeader"><b>Discovery &amp; Strategy</b></h3><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><h3 class="jobSectionHeader"><b>
Solution Design &amp; Value Building
</b></h3><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><h3 class="jobSectionHeader"><b>
Client Engagement &amp; Delivery
</b></h3><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><h3 class="jobSectionHeader"><b>
Thought Leadership
</b></h3><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><h3 class="jobSectionHeader"><b>
Domain Focus
</b></h3><ul><li><b>Finance:</b> Digital onboarding, payments, open banking (PSD2), ISO 20022, AML/KYC, fraud, and contact-center modernization, and AI adoption.</li><li><b>
Insurance:</b> Digital quote/bind/issue, claims automation, underwriting workbenches, telematics pricing, and IFRS 17/Solvency II compliance, and AI adoption.</li><li><b>
Travel &amp; Airlines:</b> NDC and ONE Order, offer/order management, loyalty, disruption and revenue management, airport operations, and AI adoption.</li></ul><h3 class="jobSectionHeader"><b>
Technology &amp; Methods
</b></h3><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><h3 class="jobSectionHeader"><b>
Qualifications:</b></h3><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><h3 class="jobSectionHeader"><b>
Success Metrics:</b></h3><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><div><b>
Why Commencis?</b></div><div><b>
</b></div><div>
We want people to thrive at Commencis. Here&rsquo;s what Commencers like about working here:</div><div><b>
</b></div><div><b>
Competitive Compensation &amp; Benefits:</b> 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.</div><div></div><div><b><br>
Happier Weekdays:</b> 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.</div><div></div><div><b><br>
Never Stop Learning:</b> We support learning and development programs for almost anything. Additionally, we provide access to leading online e-learning platforms like Udemy and various libraries.</div><div></div><div><b><br>
Community &amp; Socials:</b> 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.</div><div></div><div><b><br>
Open Culture:</b> 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.</div><div></div><div><b><br>
About Commencis</b></div><div></div><div><br>
Join us in paving the way for a thriving digital society!</div><div></div><div><br>
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.</div><div></div><div><br>
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.</div><div></div><div><br>
If you share the same passion with our fellow Commencers, then let us unleash your world-class potential!</div><div></div><div><b><br>
We will process your personal data as part of our recruitment procedures. To find out more, please consult our </b><b>Candidate Privacy Notices</b><b>.</b></div><div></div><p><br>
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.</p></div>

Senior Consultant, Industry Solutions – Finance, Insurance & Travel

QNB Türkiye

<div>
 <p>
  <strong>
   DATA SCIENTIST
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   ENHANCE YOUR WORLD WITH AN ENHANCING CAREER
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  Are you aware of the power of data analyzing in banking sector which is putting human at the center of the business. Do you trust yourself at creating value at a developing area of one of the oldest and biggest sectors in the World.
 </p>
 <p>
  <br/>
 </p>
 <p>
  QNB is always supporting employees who are eager to create a development at their career and the future of the sector. Our human resources policies are aiming to create an equal, fulfilled and empowering working atmosphere for individuals willing to have a satisfying career journey.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   What are the opportunities for you
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <ul>
  <li>
   Empowering working atmosphere which will appreciate your desire for development
  </li>
  <li>
   Keeping up to date with a progressive sector always looking for a new opportunity
  </li>
  <li>
   Building a career at one of the most trustable and growing sectors.
  </li>
  <li>
   Comfort of working at an environment supporting your happiness and growth
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   If you are willing to be a part of this developmental atmosphere
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are seeking for several data scientists (
  <strong>
   junior and mid-level
  </strong>
  ) who will help us in discovering the information in vast amounts of data, and making smarter decisions in
  <strong>
   QNB R&amp;D Center
  </strong>
  . Your focuses will be combining data-driven insights and business knowledge to create analytical solutions for business units and applying machine learning techniques, doing statistical analysis, and building high quality prediction systems integrated with current systems in R&amp;D Center projects. The ideal candidate will be intricately involved in running analytical experiments in a methodical manner, and will regularly evaluate alternate models via theoretical approaches.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <em>
    Job Description of Our Team:
   </em>
  </strong>
 </p>
 <p>
  In order to ensure that process is managed in an accurate and effective way;
 </p>
 <ul>
  <li>
   Designing, developing, and maintaining new and current Dashboards, data models and reports to support business performance evaluations
  </li>
  <li>
   Troubleshooting and adjusting existing data and automated reporting environments
  </li>
  <li>
   Using extensive SQL and code knowledge to derive insights from large datasets in order to solve real-life, fast-paced business problems.
  </li>
  <li>
   Visualizing data through visualization tools and compelling data and portfolio trends to management and business units.
  </li>
  <li>
   Analyzing and extracting data to uncover insights, trends, and opportunities that inform strategic decisions and perform analysis.
  </li>
  <li>
   Collaborating closely with cross-functional teams, particularly IT, to define and execute data analysis projects,
  </li>
  <li>
   Contributing to the development of data analytics strategies aligned with business objectives,
  </li>
  <li>
   Monitoring key performance indicators (KPIs) and providing actionable recommendations based on your analyses,
  </li>
  <li>
   Developing predictive models using various machine learning techniques,
  </li>
  <li>
   Preparing smart variables by performing big data analysis, feature engineering,
  </li>
  <li>
   Keeping up-to-date with latest technology trends, and doing AI projects with Python/R,
  </li>
  <li>
   Establishing connection between the relevant units and with the consulting firms from which support is received in projects, when necessary,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   We are waiting for your application if;
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree from a reputable university (preferably in Mathematics, Engineering etc.),
  </li>
  <li>
   Interested in big data, analytics and machine learning subjects,
  </li>
  <li>
   Maximum 4 years of experience in related departments
  </li>
  <li>
   A methodological approach to data by presenting it clearly and effectively to support business decisions
  </li>
  <li>
   Ability to visualize data or use visualization tools,
  </li>
  <li>
   Good command of MS Office programs
  </li>
  <li>
   Good command of SQL for effective data manipulation and querying is a plus
  </li>
  <li>
   Using one of the following modeling programs effectively; SAS, Python, R or SPSS is a plus
  </li>
  <li>
   Fluency in English, both written and spoken
  </li>
  <li>
   Open-minded, strong analytical point of view and problem-solving skills,
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  The future of banking is waiting for you, apply to create an impact on this inspire full journey.
 </p>
</div>


Data Scientist

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