Qureos Mentor

Zoolatech

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Are you passionate about driving innovation in the AI space and influencing the future of cutting-edge technology applications? Our client, a globally known jewelry manufacturer, invites you to join the dynamic team as a Product Manager focused on enabling AI across a broader supply chain. This role offers a unique opportunity to collaborate with product directors and stakeholders across diverse business areas, playing a pivotal role in the integration and adoption of AI solutions that will drive transformative change.</p>
</div><div><ul><li><p><b>Product Vision and Strategy:</b> Craft and drive the product vision, strategy, and roadmap for integrating AI solutions across our supply chain. Align these initiatives with overarching business goals and objectives to maximize value creation.</p></li><li><p><b>
Stakeholder Collaboration:</b> Foster close interaction and collaboration with product directors and stakeholders from various business domains. Understand their needs, gather requirements, and ensure that AI initiatives align with their strategic objectives.</p></li><li><p><b>
Product Enablement and delivery:</b> Act as a bridge between functional requirements and technical implementation teams. Champion the co-creation, prioritization, and lead the delivery of AI-driven solutions that address specific business needs while enhancing the end-user experience.</p></li><li><p><b>
Technical Advisory:</b> Provide guidance on the functional implications of technical decisions and collaborate with cross-functional teams to promote seamless integration of AI technologies within the supply chain.</p></li><li><p><b>
Leadership and Innovation:</b> Lead the charge in leveraging AI advancements to drive innovation within Pandora. Contribute to shaping the direction of AI products and domains, ensuring technology remains at the forefront of our business evolution.</p></li></ul>
</div><div><ul><li><p>7-10 years of experience in Product or Project Management and retail, consumer brands, supply chain, or AI-focused industries.</p></li><li><p>
Educational background in Computer Science, Engineering, AI, or related fields.</p></li><li><p>
Expertise in AI and machine learning technologies, with a proven track record of enabling AI solutions in complex business environments.</p></li><li><p>
Strong stakeholder management skills to navigate and align diverse perspectives while prioritizing product backlogs.</p></li><li><p>
In-depth knowledge of AI capabilities and industry trends, and proactivity in the identification of AI opportunities across different business areas.</p></li><li><p>
Proactive and structured approach to AI product management, coupled with robust execution skills to meet deadlines and deliver results, while understanding the challenges of AI product lifecycle and technical debt management.</p></li><li><p>
Previous exposure to AI accelerators, incubators or rapid experimentation, design thinking, and service design.</p></li><li><p>
Ability to define an operating model for quick identification of business challenges that can be solved by AI, quick development of pilots/MVP, and the lifecycle necessary for the evolution to a high-quality AI software.</p></li><li><p>
Exceptional communication skills to articulate product vision and priorities to both senior stakeholders and team members.</p></li><li><p>
A servant-leader mindset that empowers teams while making informed decisions and managing risks.</p></li><li><p>
The ability to balance short-term gains with long-term strategic ambitions, addressing technical debt while pursuing innovation.</p></li><li><p>
Ability to support AI product adoption and training in business areas after the product goes Live.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Product/Analyst
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

AI Product Manager

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Join the engineering team and help build scalable backend services that power one of the world&rsquo;s leading meal-kit delivery platforms.</p><p></p>
The team is responsible for ensuring that millions of customers around the world can pay seamlessly and securely for their subscriptions.<p></p>
You&rsquo;ll work in a high-scale, event-driven microservices environment focused on <b>supporting and expanding our payment capabilities</b>.<p></p><p>
Right now, our main goal is to <b>implement new payment methods via existing providers</b>, making sure that recurring payments are successful or recovered on time. The scope of work includes extending existing systems, integrating with third-party payment providers, and ensuring that all changes are <b>well-tested, documented, and smoothly integrated</b>.</p>
</div><div><ul><li><p>Design, build, and maintain <b>backend microservices</b> within a <b>high-scale, event-driven</b> environment.</p></li><li><p><b>
Add and maintain payment options</b> for customers through existing providers.</p></li><li><p>
Implement new payment methods and ensure they are technically sound, stable, and fully tested.</p></li><li><p>
Work with <b>AWS, Kubernetes</b>, and <b>CI/CD pipelines</b> to ensure reliable and automated delivery.</p></li><li><p>
Design and maintain REST/gRPC APIs, integrating with Kafka, SNS/SQS, PostgreSQL, and Redi<b>s</b>.</p></li><li><p>
Focus on quality, security, and resilience &mdash; including testing (unit, integration, contract).</p></li><li><p>
Strengthen observability and system reliability through logging, metrics, tracing, and runbooks.</p></li><li><p>
Work in an Agile environment.</p></li><li><p>
Participate in code reviews, share knowledge, and contribute to team growth.</p></li></ul>
</div><div><ul><li><p>5+ years of professional backend development experience.</p></li><li><p>
Strong expertise in <b>Kotlin (and Java)</b>, building <b>scalable microservices, </b>ideally in high-traffic or e-commerce environments.</p></li><li><p>
Hands-on experience with <b>Kubernetes</b>, <b>AWS</b>, and <b>CI/CD pipelines</b>.</p></li><li><p>
Familiarity with event-driven architectures and message brokers (Kafka, SNS/SQS).</p></li><li><p>
Solid understanding of PostgreSQL.</p></li><li><p>
Experience in <b>testing best practices</b> (unit, integration, contract, TDD).</p></li><li><p>
Knowledge of <b>Grafana</b> for monitoring and observability.</p></li><li><p>
Experience with <b>A/B testing frameworks</b> is an advantage.</p></li><li><p>
Excellent English communication skills &ndash; clear, structured, and collaborative.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Kotlin
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Kotlin/Java Engineer

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>This role entails knowledge holding about the event-driven architecture (EDA) platform for standardized integrations and assistance for external teams implementing their end-to-end integrations between multiple systems. Engineering standards and documentation exist for guidance, which the BA will need to navigate well across and contribute to. Applicable area of the integration content - the retail/e-com domain operations as well as ERP (SAP4HANA). Business event modeling (conceptual, logical, and technical) is needed from a business analysis perspective.</p><p>
In this position, you will play several roles at once:</p><ul><li><p>
System Analyst modeling business event structures where field-level analysis of different complexities is required</p></li><li><p>
Business Analyst facilitating high-level business flow analysis and developing/improving processes in the team and across multiple teams</p></li></ul>
</div><div><ul><li><p>Collaborate with multiple teams to clarify business and technical requirements.</p></li><li><p>
Provide guidance on the integration platform and relevant engineering standards.</p></li><li><p>
Facilitate business flow analysis and ensure accurate translation of data exchanges into business events.</p></li><li><p>
Contribute to building and optimizing internal and cross-team processes.</p></li><li><p>
Work with the engineering team to define optimal technical solutions.</p></li><li><p>
Create and maintain Jira tasks for development teams.</p></li><li><p>
Review Avro schema pull requests from both technical and business perspectives.</p></li><li><p>
Support the full development cycle, from pre-analysis and design through UAT and release coordination.</p></li><li><p>
Prepare detailed IDDs, field mappings, and documentation.</p></li><li><p>
Identify corner cases early and help automate them to reduce manual testing.</p></li><li><p>
Take ownership of system quality and adherence to established standards.</p></li></ul>
</div><div><ul><li><p>5+ years of general experience in IT and/or E-commerce, Retail-tech, Logistics</p></li><li><p>
3+ years as a System/Business analyst</p></li><li><p>
Fluent English and excellent communication skills</p></li><li><p>
Strong requirements elicitation skills across multiple stakeholder types</p></li><li><p>
Business flow diagram drawing</p></li><li><p>
Business event schema modeling</p></li><li><p>
Preparing dev tasks, technical design documents, and field mappings</p></li><li><p>
Solid understanding of XML/JSON, APIs, Kafka fundamentals, and databases</p></li><li><p>
Knowledge of SQL and data structures</p></li><li><p>
Confident user of Jira, Confluence, Lucid, Miro, Azure DevOps, and similar tools</p></li><li><p>
Project management experience is an advantage</p></li><li><p>
Ability to efficiently switch between multiple workstreams</p></li></ul><p></p><p><b>
Nice to have:</b></p><ul><li><p>
Hands-on experience with ERP systems</p></li><li><p>
SAP familiarity</p></li><li><p>
Proven track record in implementing an EDA approach</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Product/Analyst
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Business Analyst

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>As a Machine Learning Engineer at the global jewelry company, you will play a key role in developing and deploying machine learning models that drive impactful decisions and elevate customer experiences. You will collaborate closely with a diverse group of data scientists, data engineers, and business leaders to create scalable solutions that optimize our retail operations across the full value chain &ndash; from jewellery design and crafting to supply chain logistics, to in-store/online retail and marketing. We encourage creative problem-solving, continuous learning, and work-life balance in a supportive environment.</p>
</div><div><ul><li><p><b>Model Development:</b> Work in end-to-end analytical products, from exploration and prototyping to productizing and testing, helping to solve complex business problems across the full value chain.</p></li><li><p><b>
Data Pipeline Engineering:</b> Develop and maintain data pipelines to collect, process, and analyze large datasets, ensuring data quality and consistency.</p></li><li><p><b>
Model Deployment:</b> Deploy machine learning models into production environments, ensuring they are scalable, reliable, and easy to maintain.</p></li><li><p><b>
Collaboration:</b> Work closely with cross-functional teams, including data scientists, software engineers, MLOps engineers, product managers, and business stakeholders, to understand business needs and translate them into machine learning solutions.</p></li><li><p><b>
Performance Monitoring:</b> Continuously monitor the performance of deployed models and implement improvements to enhance their accuracy, efficiency, and scalability.</p></li><li><p><b>
Research &amp; Innovation:</b> Stay up-to-date with the latest developments in machine learning and AI, and apply new techniques to improve existing models and processes.</p></li><li><p><b>
Documentation:</b> Maintain clear and comprehensive documentation of models, processes, and systems to facilitate knowledge sharing and collaboration.</p></li></ul>
</div><div><ul><li><p>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Statistics, Applied Mathematics, or a related field.</p></li><li><p>
4-7 years of experience as a Machine Learning Engineer, Data Scientist, or similar role.</p></li><li><p>
Experience in the retail industry or e-commerce is highly desirable.</p></li></ul><p><b>
Technical Skills:</b></p><ul><li><p>
Strong problem-solving abilities, solid background in algorithms and data structures.</p></li><li><p>
Strong proficiency in Python.</p></li><li><p>
Ability to work with machine learning tools (e.g, scikit-learn, TensorFlow, Keras, PyTorch, Spark MLlib).</p></li><li><p>
Experience with big data using Databricks, Snowflake, Apache Spark, or Hadoop.</p></li><li><p>
Proficiency in SQL and experience with relational databases.</p></li><li><p>
System-level architecture understanding, including scaling, MLOps, model/data monitoring, and ensuring a deterministic pipeline.</p></li><li><p>
Familiarity with cloud platforms (e.g., Azure) and containerization technologies (e.g., Docker, Kubernetes).</p></li><li><p>
Experience with version control systems (e.g., Git) and collaborative development tools (e.g., JIRA, Confluence).</p></li></ul><p><b>
Soft Skills:</b></p><ul><li><p>
Strong problem-solving skills with the ability to work independently and collaboratively in a fast-paced environment.</p></li><li><p>
Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.</p></li><li><p>
A proactive attitude and a passion for continuous learning and innovation.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Data Science
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

ML Engineer

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>We are looking for a <b>Senior FullStack Engineer</b> to join a venture-backed startup that is transforming the quick-service industry with a <b>conversational AI assistan</b>t built to handle drive-thru orders with unmatched speed, accuracy, and efficiency. We&rsquo;re seeking a high-energy, mission-driven professional who thrives in fast-paced environments, embraces continuous learning, and is passionate about shaping the future of AI-driven customer experiences in restaurants.</p><p>
You will become part of a US-based company collaborating closely with the client to improve, develop and scale a voice AI assistant for drive-thru ordering. The product is already deployed in real-world scenarios and is positioned for rapid growth.</p><p>
The team&rsquo;s current goals include:</p><ul><li><p>
Boosting automation for the ordering process with a long-term vision of fully eliminating the need for human intervention.</p></li><li><p>
Improving the speed, reliability, and accuracy of the ordering process to deliver a seamless experience for both customers and restaurant staff.</p></li></ul><p>
As part of the core engineering team, you will play a pivotal role in defining the technical architecture, driving innovation, and building a product that is shaping the next generation of restaurant technology.</p>
</div><div><ul><li><p>Design, develop, and deploy core components of the AI-driven platform, ensuring scalability, security, quality and high performance.</p></li><li><p>
Collaborate closely with cross-functional teams to deliver rapid iterations and improvements.</p></li><li><p>
Make strategic technical decisions that define the architecture, tools, and frameworks used across the platform.</p></li><li><p>
Integrate AI and LLM-based technologies into production-ready solutions for real-time user interactions.</p></li><li><p>
Investigate and resolve real-world performance issues, ensuring reliability and exceptional user experience.</p></li><li><p>
Contribute to shaping technical culture and best practices, including mentoring and supporting future engineering hires.</p></li><li><p>
Take part in production support duty during daylight hours (7 AM EST &ndash; midday EST), including incidents monitoring and troubleshooting as needed.</p></li></ul>
</div><div><ul><li><p>Totally 5+ YOE as a FullStalk engineer with the knowledge and experience i designing and implementing scalable, reliable systems.</p></li><li><p><b>
Backend (the main skill):</b> Node.js, PostgreSQL, RESTful APIs. <b>Frontend:</b> HTML, CSS, JavaScript, Typescript, modern frameworks (React, Vue, or similar).</p></li><li><p>
Experience with cloud platforms(Microsoft Azure, AWS), Docker, Kubernetes, CI/CD pipelines.</p></li><li><p>
Building and maintaining automated testing and deployment pipelines.</p></li><li><p>
SQL and database optimization (PostgreSQL preferred)</p></li><li><p>
Ownership mindset and end-to-end project delivery</p></li><li><p>
Startup mentality and ability to work in fast-paced environments</p></li><li><p>
Problem-solving and debugging complex issues</p></li><li><p>
Cross-functional team collaboration</p></li><li><p>
Adaptability and eagerness to learn new technologies</p></li><li><p>
Clear and proactive communication in English</p></li></ul><p>
Nice to have:
</p><ul><li><p>Experience integrating AI/ML systems or APIs (LLMs, conversational AI frameworks).</p></li><li><p>
Python experience would be a huge plus.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>JS, Node.js, React, TypeScript, Vue.js
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior FullStack Engineer (JS)

<div><div><div><div><div><div><div><div><b>OVERVIEW</b></div>
</div><div><div>RESPONSIBILITIES</div>
</div><div><div>REQUIREMENTS</div>
</div></div></div></div><div><div><div><p>Our client is a global jewelry manufacturer undergoing a major transformation, moving from IaaS-based solutions to a modern Azure PaaS data platform. As part of this journey, you will design and implement scalable, reusable, and high-quality data products using technologies such as Data Factory, Data Lake, Synapse, and Databricks. These solutions will enable advanced analytics, reporting, and data-driven decision-making across the organization. By collaborating with product owners, architects, and business stakeholders, you will play a key role in maximizing the value of data and driving measurable commercial impact worldwide.</p>
</div><div><ul><li><p>Design, build, and maintain scalable, efficient, and reusable data pipelines and products on the Azure PaaS data platform.</p></li><li><p>
Collaborate with product owners, architects, and business stakeholders to translate requirements into technical designs and data models.</p></li><li><p>
Enable advanced analytics, reporting, and other data-driven use cases that support commercial initiatives and operational efficiencies.</p></li><li><p>
Ingest, transform, and optimize large, complex data sets while ensuring data quality, reliability, and performance.</p></li><li><p>
Apply DevOps practices, CI/CD pipelines, and coding best practices to ensure robust, production-ready solutions.</p></li><li><p>
Monitor and own the stability of delivered data products, ensuring continuous improvements and measurable business benefits.</p></li><li><p>
Promote a &ldquo;build-once, consume-many&rdquo; approach to maximize reuse and value creation across business verticals.</p></li><li><p>
Contribute to a culture of innovation by following best practices while exploring new ways to push the boundaries of data engineering.</p></li></ul>
</div><div><p><b>Must-Have Skills</b></p><ul><li><p>
5+ years of experience as a Data Engineer with proven expertise in <b>Azure Synapse Analytics</b> and <b>SQL Server</b>.</p></li><li><p>
Advanced proficiency in <b>SQL</b>, covering relational databases, data warehousing, dimensional modeling, and cubes.</p></li><li><p>
Practical experience with <b>Azure Data Factory, Databricks, and PySpark</b>.</p></li><li><p>
Track record of designing, building, and delivering production-ready data products at enterprise scale.</p></li><li><p>
Strong analytical skills and ability to translate business requirements into technical solutions.</p></li><li><p>
Excellent communication skills in English, with the ability to adapt technical details for different audiences.</p></li><li><p>
Experience working in <b>Agile/Scrum</b> teams.</p></li></ul><p><b>
Nice-to-Have Skills</b></p><ul><li><p>
Familiarity with infrastructure tools such as Kubernetes and Helm.</p></li><li><p>
Experience with Kafka.</p></li><li><p>
Experience with DevOps and CI/CD pipelines.</p></li></ul>
</div></div></div><div><div><div><div><p>Location:
</p><div>Istanbul, Turkey
</div></div><div><p>Seniority:
</p><div>Senior
</div></div><div><p>Technologies:
</p><div>Data
</div></div></div></div><div><div><p>Benefits:
</p><ul><li><b>Paid Vacation
</b></li><li><b>Hybrid Work (home/office)
</b></li><li><b>Sick Days
</b></li><li><b>Sport/Insurance Compensation
</b></li><li><b>Holidays Day Off
</b></li><li><b>English Classes
</b></li><li><b>Training Compensation
</b></li><li><b>Transportation compensation</b></li></ul></div></div></div></div></div></div>

Senior Data Engineer

Join Zoolatech and explore 6   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.