intelligence engineer

Hepsiburada (NASDAQ: HEPS)

<div>
 
 At Hepsiburada, we are driven by our mission to improve people's lives by developing innovative products and services. Prioritizing customer satisfaction, we offer over 280 million products across more than 30 categories. Through our marketplace model, we bring together over 100,000 businesses. With T&uuml;rkiye&rsquo;s and the region's largest Smart Operations Center, industry-leading R&amp;D initiatives, and innovative solutions, we contribute significantly to the growth of the e-commerce ecosystem. For the past two years, we have proudly held the title of Turkey's most recommended e-commerce platform.
 
 
 
 
 
 Through our innovative services like HepsiJET, Hepsipay, HepsiLojistik, HepsiAd, and Hepsiburada Global, we create value for all our stakeholders. Committed to harnessing technology for social benefit, our &ldquo;Technology Empowerment for Women Entrepreneurs&rdquo; program has connected thousands of women entrepreneurs with e-commerce, supporting their growth. Our goal is to leverage digitalization and e-commerce to enable greater economic participation.
 
 
 
 
 
 With 25 years of experience driven by innovation and entrepreneurship, we proudly continue our journey as &ldquo;T&uuml;rkiye&rsquo;s Hepsiburada&rdquo; and the first and only Turkish company listed on NASDAQ, the world's leading technology exchange.
 
 
 
 
 
 For our colleagues, we offer a work environment that supports creating together and adding more meaning to our work. As a team full of opportunities, we are happy to develop, produce and succeed together.
 
 
 
 
 
 If you want to be part of a team that creates value for everyone and makes life easier through innovative products and services&mdash;and contribute to exciting success stories&mdash;the future starts here.
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 
 <ul>
 <li>
 Developing, analyzing and maintaining the dashboards which are produced in BI Platforms,
 </li>
 <li>
 Ensuring BI Platforms &amp; Decision-making Systems serve continuously and produce consistent reports,
 </li>
 <li>
 Execution of relevant test and maintenance stages in all BI processes,
 </li>
 <li>
 Meeting the problems and new development requests coming to the unit within the scope of business intelligence,
 </li>
 <li>
 Contribute to the performance and architecture management of the BI reporting tool used.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Qualifications:
 
 
 
 
 
 <ul>
 <li>
 B.S. degree preferably in Computer Science, Industrial Engineering, MIS, Mathematics, or related fields,
 </li>
 <li>
 At least 3 years of experience in Business Intelligence tools; such as QlikSense, QlikSense SAAS, QlikView vs.
 </li>
 <li>
 Knowledge of Data Modeling, Data Warehousing and ETL processes,
 </li>
 <li>
 Knowledge of Cloud platforms, such as Google Cloud Platform,
 </li>
 <li>
 Knowledge of Data Governance principles and approach,
 </li>
 <li>
 Seeing reporting not only as an interface that shows the past but also as an analytical and forward-looking tool.
 </li>
 </ul>
 
 
 
 
 
 
 
 https://medium.com/hepsiburadatech
 
 
 https://stackshare.io/hepsiburada
 
 
 
 
 
 
 Bu ilan sebebiyle yapaca&gbreve;&inodot;n&inodot;z ba&scedil;vurular arac&inodot;l&inodot;&gbreve;&inodot;yla toplanacak ki&scedil;isel verileriniz veri sorumlusu D-Market Elektronik Hizmetler ve Ticaret A.&Scedil; (&ldquo;Hepsiburada&rdquo;) taraf&inodot;ndan 6698 say&inodot;l&inodot; Ki&scedil;isel Verilerin Korunmas&inodot; Kanunu (&ldquo;KVKK&rdquo;) ve ilgili mevzuat kapsam&inodot;nda i&scedil; ba&scedil;vuru s&uuml;re&ccedil;lerinin y&uuml;r&uuml;t&uuml;lmesi amac&inodot;yla otomatik yollarla i&scedil;lenecektir.Ayd&inodot;nlatma Metni&rsquo;ne https://www.hepsiburada.com/kisisel-verilerin-korunmasi linkinden ula&scedil;abilirsiniz.
 
 
</div>

Business Intelligence Engineer

ARPU PLUS

Key Responsibilities:<ul><li>AI Solution Design and Development:</li><li>Designing, developing, and deploying complex AI/ML models and systems.</li><li>Selecting and implementing appropriate algorithms and frameworks.</li><li>Building scalable and efficient AI pipelines.</li><li>Model Training and Evaluation:</li><li>Training and fine-tuning machine learning models using large datasets.</li><li>Evaluating model performance and optimizing for accuracy and efficiency.</li><li>Implementing model monitoring and retraining strategies.</li><li>Software Development and Integration:</li><li>Integrating AI models into existing software systems.</li><li>Developing APIs and other interfaces for AI services.</li><li>Writing clean, efficient, and well-documented code.</li><li>Research and Innovation:</li><li>Staying up-to-date with the latest AI research and trends.</li><li>Exploring and evaluating new AI technologies and techniques.</li><li>Contributing to research and development efforts.</li><li>Leadership and Collaboration:</li><li>Leading and mentoring junior AI engineers.</li><li>Collaborating with cross-functional teams, including data scientists, software engineers, and product managers.</li><li>Communicating complex technical concepts to non-technical stakeholders.</li><li>Solution Architecture:</li><li>Designing the architecture of AI powered solutions, insuring scalability, and reliability.</li></ul>RequirementsRequired Skills and Qualifications:<ul><li>Education:</li><li>A bachelor's or master's degree in computer science, artificial intelligence, machine learning, or a related field.</li><li>Experience:</li><li>Significant experience in AI/ML development, typically 5+ years.</li><li>Proven track record of deploying AI solutions in production environments.</li><li>Experience with deep learning frameworks (TensorFlow, PyTorch, etc.).</li><li>Experience with cloud platforms (AWS, Azure, GCP).</li><li>Technical Skills:</li><li>Proficiency in programming languages such as Python, Java, or C++.</li><li>Strong understanding of machine learning algorithms and deep learning techniques.</li><li>Experience with natural language processing (NLP), computer vision, or other AI subfields.</li><li>Knowledge of data engineering principles and practices.</li><li>Familiarity with containerization and orchestration tools (Docker, Kubernetes).</li><li>Soft Skills:</li><li>Strong problem-solving and analytical skills.</li><li>Excellent communication and collaboration skills.</li><li>Ability to work independently and as part of a team.</li><li>Leadership qualities.</li></ul>Job Type: Full-time

Artificial Intelligence Engineer

Latinx in AI (LXAI)

<div>
 Huawei Telekom&uuml;nikasyon D&inodot;&scedil; Ticaret
 
 
 Full-time
 
 
 On-site
 
 
 &Idot;stanbul, &Idot;stanbul, Turkey
 
 
 Technology
 
 
 
 Description
 
 
 
 <ul>
 <li>
 Label data consisting of images, videos, texts,
 </li>
 <li>
 Own the data annotation pipeline, ensuring quality of data annotation for the entire
 </li>
 <li>
 team,
 </li>
 <li>
 Meet individual deadlines for completing data labeling tasks,
 </li>
 <li>
 Quality control and occasional checks on labels completed,
 </li>
 <li>
 Work in-sync with Research Leaders to meet daily and weekly goals.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Hands-on experience with cleaning and analyzing large scale data,
 </li>
 <li>
 Being detail-oriented and patient,
 </li>
 <li>
 Ability to work independently as an individual contributor,
 </li>
 <li>
 Team player and ability to work collaboratively with a team of contributors,
 </li>
 <li>
 Must be reliable, have good initiative, committed and quality-focused,
 </li>
 <li>
 Proficiency in standard software (Word, Excel, etc.),
 </li>
 <li>
 Basic English written and oral skills.
 </li>
 <li>
 1-2 years of experience in data annotation is preferable
 </li>
 </ul>
</div>

Travelfika

3 to 5 years of experience as a AI DeveloperStrong programming skills in Python; experience withJavaScript or other languages is a plus.Solid understanding of machine learning fundamentals anddata pipelines.Hands-on experience using APIs from OpenAI, Google Cloud,Azure, or similar platforms.Ability to work independently and collaboratively in a fastpacedenvironment.<ul><li>Bonus Skills:</li></ul>Experience working with LLMs (Large Language Models).Exposure to prompt engineering or generative AI.Background in data science or statistics.Job Types: Full-time, PermanentPay: &#8377;30,086.00 - &#8377;70,535.31 per monthBenefits:<ul><li>Health insurance</li><li>Life insurance</li><li>Provident Fund</li></ul>Application Question(s):<ul><li>Are you ready to start immediately?</li></ul>Language:<ul><li>English (Required)</li></ul>Shift availability:<ul><li>Night Shift (Required)</li></ul>Work Location: In person

Penny Software

About Penny SoftwarePenny is a fast-growing procurement and technology company headquartered in Riyadh with operations across Saudi Arabia and Bahrain. Our mission is to build the best possible source-to-pay platform, allowing organizations worldwide to find suppliers, issue tenders, and manage responses faster, cheaper, and more efficiently than ever before.Role Summary:This is a high-impact senior role that sits at the intersection of Engineering, Data, and Product. You will steer Penny&rsquo;s entire approach to Machine Learning and AI, identifying opportunities to deliver measurable customer value and building the scalable solutions to realize it. Your work will directly impact thousands of procurement professionals across the MENA region.If successful, this role has the potential to develop into a Team Leadership position as we expand our dedicated AI/ML team. What You'll Do: Core ResponsibilitiesYou will be at the forefront of integrating AI and ML into procurement workflows, focusing on building intelligent solutions that solve real-world customer problems.1. AI/ML Development &amp; Deployment<ul><li>Design and implement production-ready AI/ML models that enhance core procurement processes, from supplier matching to risk assessment.</li><li>Develop solutions utilizing the latestLarge Language Model (LLM) and deep learning techniques to create tangible customer value.</li><li>Architect and implement Retrieval-Augmented Generation (RAG) systems to provide accurate, contextual, and grounded responses to user queries.</li><li>Create robust algorithms for advanced pattern recognition and process automation within complex procurement workflows.</li></ul>2. Technical Leadership &amp; MLOps<ul><li>Ensure all AI solutions are scalable, secure, and maintainable within our existing micro-service architecture.</li><li>Conduct rigorous A/B testing and performance optimization, ensuring the model's performance meets business requirements.</li><li>Provide technical guidance and mentorship on AI/ML best practices to other engineers at Penny.</li><li>Own the solution life cycle from concept and data preparation through to final deployment and monitoring.</li></ul>3. Cross-Functional Collaboration<ul><li>Partner closely with Product teams to identify the highest-value opportunities for AI-driven improvements.</li><li>Collaborate with Data teams to ensure high-quality training data, feature engineering, and labeling processes.</li><li>Work with UX teams to translate complex models into intuitive, AI-powered user experiences.</li></ul>What You Need to Succeed<ul><li>Experience: 4+ years of hands-on experience in AI/ML development, specifically deploying and managing models in production environments.</li><li>ML Proficiency: A strong track record and clear understanding of a range of ML techniques beyond simple prompting, including model fine-tuning and deployment.</li><li>Production Impact: Proven ability to solve complex business problems using AI/ML, demonstrating:</li><li>A clear understanding of problem-solution fit.</li><li>Rigorous evaluation of solution effectiveness.</li><li>Measurable business impact of your implementations.</li><li>Technical Foundation: Strong understanding of data processing, model evaluation techniques, and building high-performance, distributed systems.</li></ul>Desired Qualifications (Pluses)<ul><li>Experience setting up and managingMLOps best practices and tooling.</li><li>Hands-on experience with cloud platforms(Google Cloud, AWS, or Azure) and their native AI services.</li><li>Experience withArabic language application of AI and ML.</li><li>Knowledge of procurement, supply chain, or enterprise SaaS software domain.</li></ul>Job Type: Full-time

Amazon.com

<div><h2 class="jobSectionHeader">DESCRIPTION</h2><div>
SCOT AIM team is seeking an exceptional Business Intelligence Engineer to join our innovative Inventory automation analytics team. This pioneering role will be instrumental in building and scaling analytics solutions that drive critical business decisions across inventory management, supply chain optimization and channel performance. You will work closely with Scientists, Product Managers, other Business Intelligence Engineers, and Supply Chain Managers to build scalable, high insight - high impact products and own improvements to business outcomes within your area, enabling WW and local solutions for retail 
 
Key job responsibilities 
Work with Product Managers to understand customer behaviors, spot system defects, and benchmark our ability to serve our customers, improving a wide range of internal products that impact selection decisions both nationally and regionally. 
<ul><li>Design and develop end-to-end analytics solutions to monitor and optimize supply chain metrics, including and not limited to availability, placement, inventory efficiency and capacity planning &amp; management at various business hierarchies.</li><li>Create interactive dashboards and automated reporting systems to enable deep-dive analysis of inventory performance across multiple dimensions (ASIN/GL/Sub-category/LOB/Brand level).</li><li>Build predictive models for seasonal demand forecasting and inventory planning, supporting critical business events and promotions.</li><li>Create scalable solutions for tracking deal inventory readiness for small events and channel share management.</li><li>Partner with category &amp; business stakeholders to identify opportunities for process automation and innovation.</li></ul> 
A day in the life 
<ul><li>Pioneering new analytical approaches and establishing best practices.</li><li>Building solutions from the ground up with significant autonomy.</li><li>Driving innovation in supply chain analytics through automation and advanced analytics.</li><li>Making a direct impact on business performance through data-driven decision making.</li></ul> 
About the team 
Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, Amazon&rsquo;s Supply Chain Optimization Technology (SCOT) organization is for you. At SCOT, we solve deep technical problems and build innovative solutions in a fast-paced environment working with smart &amp; passionate team members. (Learn more about SCOT: http://bit.ly/amazon-scot)</div><h2 class="jobSectionHeader">
BASIC QUALIFICATIONS</h2><ul><li>3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience</li><li>Experience with data visualization using Tableau, Quicksight, or similar tools</li><li>Experience with data modeling, warehousing and building ETL pipelines</li><li>Experience in Statistical Analysis packages such as R, SAS and Matlab</li><li>Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling</li></ul><h2 class="jobSectionHeader">
PREFERRED QUALIFICATIONS</h2><ul><li>Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift</li><li>Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets</li><li>Experience working directly with business stakeholders to translate between data and business needs</li></ul> 
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.</div>

Business Intelligence Engineer, SCOT AIM

Centene

<div>You could be the one who changes everything for our 28 million members by using technology to improve health outcomes around the world. As a diversified, national organization, Centene's technology professionals have access to competitive benefits including a fresh perspective on workplace flexibility. 
Position Purpose: Creates complex Enterprise-class data assets that provide business insight and aid business decision-making. Assets will include (but are not limited to) reports, visualizations, dashboards, and data extracts. Produces complex reports and performs meaningful quantitative or qualitative analyses addressing impactful business issues or questions. Combines these reports with subject-matter expertise to deliver coherent, insightful takeaways comprehensive read-outs, and advice/recommendations grounded in what our data is telling us.<ul><li>
Develops complex BI solution architecture that accurately translates business requirements to technology solutions and ensures the design will meet business requirements throughout the lifecycle of a change</li>
<li>Participates in and implements day-to-day activities related to defining architecture, establishing infrastructure, and implementing standards used to create frameworks/patterns for delivering business intelligence solutions</li>
<li>Conducts complex business analysis activities to enable technology solutions that adequately fulfill strategic business needs and objectives</li>
<li>Delivers complex project setups, analysis, data flows, designs (wireframes/mock-up), etc., for and in partnership with customers</li>
<li>Helps lead the execution of long-term strategic goals for business intelligence development in conjunction with end users, management, customers, and other stakeholders</li>
<li>Conducts extensive research and makes recommendations on business intelligence products, services, and standards in support of procurement and development efforts</li>
<li>Performs and oversees complex programming, quality assurance reviews, documentation, system deployment, training, and project setup/support</li>
<li>Provides timely and appropriate communication to business owners, stakeholders, and users on issue status and resolution</li>
<li>Develops, maintains, and implements the business intelligence architecture as a core asset at Centene</li>
<li>Collaborates with end users to identify needs and opportunities for improved data management, process efficiency with respect to data and delivery</li>
<li>Collaborates with both Enterprise Architecture (EA) and EDAS Solutions Architecture on the solution/service design to ensure it conforms to enterprise architectural standards and future roadmaps</li><li>
Performs other duties as assigned</li>
<li>Complies with all policies and standards</li></ul>
Education/Experience: A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science) and Requires 4 &ndash; 6 years of related experience. 
 
Or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. 
 
Technical Skills:<ul><li>
One or more of the following skills are desired.</li><li>
Experience with one or more of the following Business Intelligence; Data Analysis; Microsoft Azure; SAS (Software); SQL (Programming Language); Statistical Analysis Systems (SAS); Tableau (Business Intelligence Software)</li><li>
Experience with Data Modeling; Python (Programming Language); Quality Assurance; SQL (Programming Language)</li><li>
Experience with one or more of the following Analytical Techniques; Business Analysis; Quantitative Analysis; Risk Analysis; Root Cause Analysis; Statistical Process Controls</li><li>
Knowledge of Microsoft Visio; User Flows; Workflows</li></ul> 
Soft Skills:<ul><li>
Intermediate - Seeks to acquire knowledge in area of specialty</li><li>
Intermediate - Ability to identify basic problems and procedural irregularities, collect data, establish facts, and draw valid conclusions</li><li>
Intermediate - Ability to work independently</li><li>
Intermediate - Demonstrated analytical skills</li><li>
Intermediate - Demonstrated project management skills</li><li>
Intermediate - Demonstrates a high level of accuracy, even under pressure</li><li>
Intermediate - Demonstrates excellent judgment and decision making skills</li></ul>
Pay Range: $85,300.00 - $158,100.00 per year
Centene offers a comprehensive benefits package including: competitive pay, health insurance, 401K and stock purchase plans, tuition reimbursement, paid time off plus holidays, and a flexible approach to work with remote, hybrid, field or office work schedules. Actual pay will be adjusted based on an individual's skills, experience, education, and other job-related factors permitted by law, including full-time or part-time status. Total compensation may also include additional forms of incentives. Benefits may be subject to program eligibility.
Centene is an equal opportunity employer that is committed to diversity, and values the ways in which we are different. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other characteristic protected by applicable law. 
Qualified applicants with arrest or conviction records will be considered in accordance with the LA County Ordinance and the California Fair Chance Act</div>

Senior Business Intelligence Engineer

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