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InoTrade

<div>
 
 
 About InoTrade
 
 
 
 
 
 
 At InoTrade, we shape the future of global commerce by leading in AI-driven innovation. By combining advanced AI capabilities with deep industry expertise, we transform complexity into clarity and deliver solutions that drive meaningful, lasting impact.
 
 
 What makes this possible is our people. We bring together AI experts, engineers, researchers, and industry leaders who thrive on collaboration and curiosity. United by a passion for solving the toughest challenges, our team creates breakthroughs that push the boundaries of technology and business.
 
 
 
 
 
 
 Role
 
 &nbsp;
 
 
 
 
 
 You will design and implement end-to-end AI solutions. This includes leveraging classical machine learning (ML), deep learning, and time series-based architectures. You will collaborate with cross-functional teams to identify business challenges and design experiments. Additionally, you will build predictive models and communicate actionable insights to stakeholders.&nbsp;
 
 
 
 
 
 
 Qualifications
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Strong knowledge of SQL and Python, and enthusiasm for learning new languages when needed&nbsp;
 </li>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or a related field&nbsp;
 </li>
 <li>
 3+ years of experience in machine learning, data science, or AI engineering&nbsp;
 </li>
 <li>
 Proficiency in Python and ML/AI libraries (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, LangChain)&nbsp;
 </li>
 <li>
 Strong understanding of the ML model lifecycle, API-based architectures, and cloud-native deployment&nbsp;
 </li>
 <li>
 Excellent problem-solving skills and ability to communicate complex technical ideas clearly&nbsp;
 </li>
 <li>
 Experience with software implementation&nbsp;
 </li>
 <li>
 Strong background in mathematical modeling, operations research, and statistical approaches&nbsp;
 </li>
 <li>
 Strong background in time series models&nbsp;
 </li>
 </ul>
 
 
 
 
 
 Responsibilities
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 Design and implement AI solutions using machine learning (ML), deep learning, and time series architectures&nbsp;
 </li>
 <li>
 Build solutions with generative AI (GenAI) tools such as OpenAI, Hugging Face Transformers, LangChain, and vector databases (Pinecone, FAISS)&nbsp;
 </li>
 <li>
 Translate business requirements into scalable AI-driven systems and MVPs (Minimum Viable Products)&nbsp;
 </li>
 <li>
 Collaborate with data engineers, product managers, and software developers&nbsp;
 </li>
 <li>
 Stay up-to-date with emerging AI trends and apply them to drive innovation&nbsp;
 </li>
 </ul>
 
 
 
 
 
 What We Offer
 
 &nbsp;
 
 
 
 
 <ul>
 <li>
 
 Continuous Learning:
 
 A culture of continuous development with opportunities to attend conferences and in-house tech events to stay up-to-date on the latest trends (everyone is encouraged to share knowledge internally and with the community).&nbsp;
 </li>
 <li>
 
 Training Resources:
 
 Free access to online training platforms such as Udemy, Harvard ManageMentor, and GetAbstract for ongoing professional development.&nbsp;
 </li>
 <li>
 
 Allowances:
 
 Monthly meal and internet allowances to support your day-to-day work needs, plus a transportation allowance for commute expenses.&nbsp;
 </li>
 <li>
 
 Home Office Support:
 
 A one-time gift voucher to help you meet your tech needs and set up an ergonomic workspace at home.&nbsp;
 </li>
 <li>
 
 Health Benefits:
 
 Private health insurance coverage for your peace of mind.&nbsp;
 </li>
 <li>
 
 Birthday Leave:
 
 An extra day of leave on your birthday to celebrate your special day.&nbsp;
 </li>
 </ul>
 
 
 
</div>

Artificial Intelligence (AI) Specialist

Obase

<div>
 
 We are looking for experienced and passionate Data Scientists to join our dynamic consultancy team, delivering cutting-edge Artificial Intelligence solutions across a wide range of industries including retail, banking, telecom and airlines.
 
 
 In this role, you will be responsible for designing and developing predictive and forecasting models using both classical statistical methods and modern machine learning techniques, while also contributing to LLM-based AI solutions.
 
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field
 </li>
 <li>
 2+ years of experience in data science or applied machine learning with a focus on predictive analytics or forecasting
 </li>
 <li>
 Experience with demand forecasting, financial time series or capacity planning projects
 </li>
 <li>
 Proficient in Python or R and experienced with commonly used data science libraries and frameworks
 </li>
 <li>
 Strong command of SQL for data extraction, transformation, and analysis
 </li>
 <li>
 Hands-on experience with LLMs and NLP libraries (HuggingFace, LangChain, OpenAI API)
 </li>
 <li>
 Familiar with MLOps tools like MLflow, Docker, or Kubernetes
 </li>
 <li>
 Comfortable communicating with clients, understanding business needs, and presenting results to both technical and non-technical audiences
 </li>
 <li>
 Strong verbal and written communication skills in English
 </li>
 </ul>
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 
 Design and implementation of time series forecasting models
 
 (e.g. ARIMA, Prophet, LSTM, XGBoost) for demand prediction, sales forecasting and resource planning
 </li>
 <li>
 Lead the development and fine-tuning of LLM-based solutions for NLP tasks including text summarization, classification, conversational AI, and RAG (Retrieval-Augmented Generation)
 </li>
 <li>
 Conduct end-to-end data science workflows, including data cleaning, feature selection, transformation, and exploratory data analysis
 </li>
 <li>
 Collaborate with clients and stakeholders to understand business requirements and present data-driven insights clearly.
 </li>
 <li>
 Stay up-to-date with the latest trends in AI, ML, and LLM technologies and proactively bring them into projects
 </li>
 <li>
 Support the deployment of models into production environments in collaboration with engineering teams
 </li>
 </ul>
 
 
 
 
 
 Obase &Ccedil;al&inodot;&scedil;an Aday&inodot;/Stajyer Aday&inodot; Ki&scedil;isel Verilerinin Korunmas&inodot; Ayd&inodot;nlatma ve A&ccedil;&inodot;k R&inodot;za Metni
 
 
</div>

Data Scientist

Luxoft

<div>
 
 
 Project description
 
 
 
 We are seeking a Palantir Foundry &amp; AIP Engineer with hands-on experience across the full Foundry ecosystem and Palantir's Artificial Intelligence Platform (AIP). This role goes beyond data engineering: you will design, build, and operationalize AI-powered workflows, agents, and applications that drive tangible business outcomes. The ideal candidate is a self-starter, able to translate complex business needs into scalable technical solutions, and confident working directly with stakeholders to maximize the value of Foundry and AIP.
 
 
 
 Responsibilities
 
 
 
 Data &amp; Workflow Engineering: Design, develop, and maintain scalable pipelines, transformations, and applications within Palantir Foundry.
 
 
 AIP &amp; AI Enablement:
 
 
 Support the design and deployment of AIP use cases such as copilots, retrieval workflows, and decision-support agents.
 
 
 Ground agents and logic flows using RAG (retrieval&hyphen;augmented generation) by connecting to relevant data sources, embedding/vector search, ontology content.
 
 
 Use Ontology-Augmented Generation (OAG) when needed: operational decision making where logic, data, actions and relationships are embedded in the Ontology.
 
 
 Collaborate with senior engineers on agent design, instructions, and evaluation using AIP's native features.
 
 
 End-to-End Delivery: Work with stakeholders to capture requirements, design solutions, and deliver working applications.
 
 
 User Engagement: Provide training and support for business teams adopting Foundry and AIP.
 
 
 Governance &amp; Trust: Ensure solutions meet standards for data quality, governance, and responsible use of AI.
 
 
 Continuous Improvement: Identify opportunities to expand AIP adoption and improve workflow automation.
 
 
 
 Skills
 
 
 
 Must have
 
 
 Required Qualifications:
 
 
 10+ years of overall experience as a Data and AI Engineer;
 
 
 2+ years of professional experience with the Palantir Foundry ecosystem (data integration, ontology, pipelines, applications).
 
 
 Strong technical skills in Python, PySpark, SQL, and data modelling.
 
 
 Practical experience using or supporting AIP features such as RAG workflows, copilots, or agent-based applications.
 
 
 Ability to work independently and engage directly with non-technical business users.
 
 
 Strong problem-solving mindset and ownership of delivery.
 
 
 Preferred Qualifications:
 
 
 Familiarity with AIP Agent Studio concepts (agents, instructions, tools, testing).
 
 
 Exposure to AIP Evals and evaluation/test-driven approaches.
 
 
 Experience with integration patterns (APIs, MCP, cloud services).
 
 
 Consulting or applied AI/ML background.
 
 
 Experience in Abu Dhabi or the broader MENA region.
 
</div>

Palantir Foundry Engineer

SunExpress

<div>
 
 We are looking for a
 
 Talent &amp; Performance Management Specialist / Senior Specialist
 
 to join our team in
 
 Antalya, SunExpress Headquarters.
 
 
 
 
 
 
 
 Key Qualifications:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business Administration, Industrial Engineering, or any related fields. A Master&rsquo;s degree in Human Resources or a related area is preferred.
 </li>
 <li>
 
 SAP SuccessFactors Performance &amp; Goal Management (PMGM)
 
 or
 
 Succession &amp; Development Planning (SPDP)
 
 certification required.
 </li>
 <li>
 Professional certification in
 
 PMGM
 
 or
 
 SPDP
 
 is a plus.
 </li>
 <li>
 Minimum 3 years of experience in
 
 Talent Management
 
 , specifically in
 
 Performance Management
 
 ,
 
 Succession Planning
 
 , and
 
 Career Development
 
 .
 </li>
 <li>
 Proven experience with
 
 SAP SuccessFactors
 
 and a solid understanding of the
 
 Performance and Goal Management
 
 and
 
 Succession Planning
 
 modules.
 </li>
 <li>
 Experience in
 
 consulting
 
 or implementing
 
 SAP HR solutions
 
 is highly desirable.
 </li>
 <li>
 Strong understanding and hands-on experience with
 
 BSC
 
 (Balanced Score Card),
 
 OKR
 
 (Objectives and Key Results),
 
 KPI
 
 (Key Performance Indicators), and 360 Evaluation processes.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Technical Skills
 
 :
 
 
 
 
 <ul>
 <li>
 
 API Integration
 
 : Knowledge of
 
 API integration
 
 within the SAP SuccessFactors environment to integrate with other enterprise systems (e.g., HRIS, Learning Management Systems, etc.).
 </li>
 <li>
 
 SAP SuccessFactors Configuration
 
 : Deep expertise in
 
 SuccessFactors PMGM
 
 and
 
 SPDP
 
 configurations.
 </li>
 <li>
 Advanced proficiency in
 
 Microsoft Office 365
 
 (Excel, PowerPoint, Word) and
 
 SharePoint
 
 .
 </li>
 <li>
 Knowledge of
 
 Artificial Intelligence (AI)
 
 ,
 
 Robotic Process Automation (RPA)
 
 , and
 
 Machine Learning (ML)
 
 in the context of HR systems.
 </li>
 <li>
 Strong understanding of
 
 LMS
 
 ,
 
 SAP HR
 
 , and other talent management technologies.
 </li>
 <li>
 
 Fluency in English
 
 (both written and spoken) is must.
 </li>
 <li>
 
 Analytical Skills
 
 : Exceptional numerical and analytical ability, capable of interpreting complex data and translating it into actionable business insights.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 
 Talent Management Strategy
 
 : Facilitate and support end-to-end Talent Management processes including
 
 Performance Management
 
 ,
 
 Performance Improvement Plans (PIP)
 
 ,
 
 Succession Planning &amp; Development Planning (related to SPDP)
 
 , and
 
 Career Management
 
 .
 </li>
 <li>
 
 SAP SuccessFactors Configuration
 
 : Configure, customize, and optimize
 
 SAP SuccessFactors PMGM
 
 and
 
 Succession &amp; Development
 
 modules to align with business requirements and HR processes.
 </li>
 <li>
 
 System Integration &amp; API Management
 
 : Ensure smooth integration of
 
 SAP SuccessFactors
 
 with other internal systems, leveraging APIs to facilitate data flow and improve system performance. Handle integration setups, troubleshoot issues, and optimize data accuracy across platforms.
 </li>
 <li>
 
 OKR / KPI Management
 
 : Implement, monitor, and manage
 
 OKR
 
 (Objectives and Key Results) and
 
 KPI
 
 (Key Performance Indicators) setting processes to ensure alignment with the company's strategic goals. Work with business leaders to set clear, measurable objectives and track progress.
 </li>
 <li>
 
 Collaboration with Business Units
 
 : Work closely with business leaders and HR teams to gather requirements and deliver customized solutions that meet specific talent management needs.
 </li>
 <li>
 
 Data Analysis &amp; Reporting
 
 : Use advanced analytical tools to interpret talent management data and provide actionable insights to leadership. Generate reports and dashboards to track performance and development metrics.
 </li>
 <li>
 
 Continuous Improvement
 
 : Recommend and implement the best practices in performance management, succession and development planning. Monitor new trends and technologies in the HR field, proposing innovative solutions.
 </li>
 <li>
 
 Feedback Mechanisms
 
 : Establish feedback loops to assess the effectiveness of talent management processes and continuously improve workflows.
 </li>
 <li>
 
 Process Documentation &amp; Communication
 
 : Document and communicate process updates to stakeholders, ensuring alignment with business needs. Continuously improve procedures to reflect best practices.
 </li>
 <li>
 
 Talent Retention &amp; Engagement
 
 : Support initiatives aimed at increasing employee engagement through reward &amp; recognition programs and career development planning.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 SunExpress, as an Equal Opportunity Employer, welcomes all applicants independent of individual differences. We believe that having a diversified talent is our biggest strength. All decisions about our current and potential talent are based solely on criteria that have nothing to do with an applicant's attributes that are irrelevant to job performance; at SunExpress, we only focus on competency, know-how, skills, and experience.
 
 
 
 
</div>

Talent & Performance Management Specialist / SAP SuccessFactors Consultant

Özyeğin University

<div>
 
 We are looking for an innovative AI Engineer who will design, develop, and deploy artificial intelligence (AI) and data analytics-based applications aligned with our organization's strategic goals.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Engineering, Software Engineering, Data Science, or related fields
 </li>
 <li>
 Minimum 3 years of experience in AI and data analytics.
 </li>
 <li>
 Advanced programming skills in Python, R, or related languages.
 </li>
 <li>
 Experience in RAG architectures, agentic chatbot systems, and LLM models.
 </li>
 <li>
 Knowledge of vector databases (Pinecone, Qdrant, Pgvector, etc.).
 </li>
 <li>
 Experience with workflow tools such as Flowise, n8n, or similar.
 </li>
 <li>
 Competency in API development and microservice architectures.
 </li>
 <li>
 Proficiency in SQL, including querying, creating views/tables, functions, and stored procedures
 </li>
 <li>
 Strong problem-solving, analytical thinking, and communication skills.
 </li>
 <li>
 Fluent in English, both written and spoken.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 Develop Retrieval-Augmented Generation (RAG) architectures and agentic chatbot systems, integrating them with existing corporate information systems.
 </li>
 <li>
 Utilize vector databases such as Pinecone, Qdrant, and Pgvector to create data indexing, semantic search, information retrieval, and recommendation systems.
 </li>
 <li>
 Design, develop, and implement corporate process automation solutions using workflow automation tools such as Flowise, n8n, and similar platforms.
 </li>
 <li>
 Manage fine-tuning or training processes of large language models (LLM) tailored to organizational needs; actively participate in data collection, preprocessing, model training, and evaluation phases.
 </li>
 <li>
 Collect and analyze structured and unstructured data from various sources to generate actionable insights that add value to the organization.
 </li>
 <li>
 Participate in API development, microservices, and integration processes for AI and data analytics applications; ensure the sustainability, performance, and security of systems.
 </li>
 <li>
 Create decision-support systems using data visualization and reporting tools, and provide data-driven reports to management and stakeholders.
 </li>
 <li>
 Continuously monitor the performance of applications and models, develop optimization suggestions, and manage improvement processes.
 </li>
 <li>
 Prepare technical documentation for AI and data projects, documenting processes and integration steps in detail.
 </li>
 <li>
 Stay updated on current AI and data analytics technologies and methodologies, evaluate their applicability within the organization, and develop pilot projects.
 </li>
 <li>
 Share knowledge within the team, providing technical consultancy and guidance as needed.
 </li>
 <li>
 Build and maintain data pipelines to connect various data sources and manage the ELT (Extract, Load, and Transform) process using SSIS.
 </li>
 <li>
 Develop business performance visualizations and dashboards using SSRS to report on daily, weekly, and monthly activities, identify KPIs, and monitor progress.
 </li>
 <li>
 Foster a culture of data-driven decision-making by promoting objectivity over subjectivity and ensuring opinions are not mistaken for facts.
 </li>
 <li>
 Adhere strictly to information security, data privacy, and ethical principles, complying fully with relevant legal and corporate standards.
 </li>
 </ul>
 
 
</div>

Artificial Intelligence Engineer

Appier

<div>About Appier
Appier is a software-as-a-service (SaaS) company that uses artificial intelligence (AI) to power business decision-making. Founded in 2012 with a vision of democratizing AI, Appier&rsquo;s mission is turning AI into ROI by making software intelligent. Appier now has 17 offices across APAC, Europe and U.S., and is listed on the Tokyo Stock Exchange (Ticker number: 4180). Visit www.appier.com for more information. 


About the role

Appier is seeking Software Engineers, QA Automation to ensure continuous delivery of high-quality system. You will work with engineers to design testing plans for various types of systems - large traffic distributed system, machine learning algorithm, big data platform, frontend system, etc. He/ She will master the skills in defining suitable test strategies and test automation for different types of systems.

[The seniority/title is determined by job-related skills, experience, and evaluation after the interview.] 


About you
<ul><li>3+ years of experience in QA Engineering with a focus on automation and test strategy.</li><li>Proficiency in scripting languages (e.g., JavaScript, Java, or similar) for writing automated tests.</li><li>Hands-on experience with test automation frameworks (Playwright is a strong plus).</li><li>Strong experience with API testing tools (Postman, RestAssured, or equivalents).</li><li>Exposure to backend service testing (a plus).</li><li>Experience in cross-browser and cross-platform compatibility testing.</li><li>Mobile testing experience on both iOS and Android.</li><li>Familiarity with performance testing concepts and tools (nice to have).</li><li>Deep understanding of SDLC, Agile methodologies, and QA&rsquo;s role in shaping product quality early in the cycle.</li><li>Strong knowledge of test pyramid principles and best practices for balancing manual vs automated test coverage.</li><li>Practical experience with Jira and TestRail (or similar test management tools).</li><li>Excellent communication and collaboration skills, with the confidence to question and propose improvements.</li><li>Analytical mindset with strong problem-solving abilities.</li><li>Self-discipline and adaptability to succeed in a remote-first environment.</li><li>Ability to decide regression test coverage independently.</li><li>Strong ownership of manual test efforts, complemented with automation where it adds most value.</li><li>A questioning mindset that ensures no assumption goes untested.</li><li>Availability in a timezone similar to European time.</li></ul> 
#LI-Fully Remote</div>

QA Automation Engineer - Fully Remote, Turkey Based

Oredata Yazılım Anonim Şirketi

<div>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.
Read more: https://medium.com/@oredata-engineering
Apply and be part of our exciting journey!
Responsibilities:<ul>
<li>
Lead the design and architecture of scalable AI and ML solutions across cloud and on-prem environments.</li>
<li>Translate business challenges into AI-based solutions, guiding presales discussions and aligning proposals with KPIs.</li>
<li>Collaborate with cross-functional teams to integrate AI components into existing enterprise systems.</li>
<li>Provide technical guidance to delivery teams, helping data scientists and engineers with model development, deployment, and lifecycle management</li>
<li>Evaluate emerging AI technologies and tools, contributing to the company&rsquo;s AI roadmap and standards.</li>
<li>Ensure compliance with data governance, security, and ethical AI principles.</li>
<li>Present technical concepts to non-technical stakeholders in a clear and structured manner, especially during client engagements and presales activities.</li>
</ul>
Requirements:<ul>
<li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or related field.</li>
<li>7&ndash;15 years of experience in Traditional ML/Generative A</li>
<li>Proven experience designing and deploying ML models in production (e.g., using TensorFlow, PyTorch, or scikit-learn).</li>
<li>Strong knowledge of cloud platforms (Azure, AWS, or GCP) and MLOps frameworks (Kubeflow, MLflow, SageMaker, etc.).</li>
<li>Strong data engineering skills, including SQL, data modeling, ETL/ELT processes, and experience with cloud data platforms (BigQuery, Redshift, Snowflake, etc.).</li>
<li>Solid understanding of APIs, microservices, and event-driven architectures.</li>
<li>Strong knowledge of LLMs, agentive AI, and vector databases is a plus</li>
<li>Excellent communication and presentation skills, with the ability to work across business and technical teams and drive presales/client discussions</li>
<li>Must be based in Istanbul or willing to relocate.</li>
</ul>
Get to know us
If you want to know more about us and what we do, then visit our website: www.oredata.com
Why Oredata?<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>
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. 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.</div>

AI Solution Architect

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