project engineer

electrical engineer

mechanical engineer

mep engineer

planning engineer

machine learning engineer

MultiBank Group

<div>Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.
Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US $35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.
Role Overview
We are seeking an experienced AI Data Engineer to design, develop, and deploy innovative data and machine learning solutions that drive customer engagement, retention, and lifetime value (LTV). This role will focus on building scalable data pipelines, predictive models, and GenAI-powered applications that enable more personalised trading experiences and support data-driven decision-making across the business.
Key Responsibilities<ul><li>
Collaborate with the wider marketing department to build meaningful datasets and a centralised data warehouse that will be used for reporting across numerous teams, focused on customer retention and LTV.</li><li>
Develop and own machine learning solutions that specialise in customer personalisation to increase engagement and coordinate with marketing teams towards their strategy and execution across multiple channels, especially around predictive modelling, churn prediction and customer segmentation.</li><li>
Explore the capabilities of Gen AI to develop new apps for our traders that make trading easier and more personalised based on their preferences.</li><li>
Maintain a commercial acumen and find opportunities where technology can be used to increase customer engagement or automate internal tasks.</li></ul>
Qualifications &amp; Requirements<ul><li>
Strong expertise in SQL, comfortable with raw data and multiple high-volume datasets such as customer journey, marketing performance or product behaviour.</li><li>
Comfortable creating pipelines and automations with Python to connect multiple endpoints and APIs such as first party databases, marketing platforms or other data collection platforms.</li><li>
Expertise in using Python todeploy machine learning solutions end to end, especially around predictive modelling and customer segmentation.</li><li>
Previous experience in finding customer insights through data analysis, communicating it to different stakeholders and strategizing on how to increase customer engagement and LTV.</li><li>
Capable of creating applications using LLMs that summarise high volumes of data and knowledge of the latest Gen AI use cases.</li><li>
Previous exposure to ETL tools (e.g., dbt, AWS Glue) and cloud environments (preferably AWS, SageMaker).</li><li>
Strong communication skills with the ability to present complex data insights to non-technical stakeholders and support business strategy.</li></ul>
Why Join Us?<ul><li>
Work with an industry-leading global financial institution.</li><li>
Competitive salary and comprehensive employee benefits.</li><li>
Opportunities for professional growth and career advancement.</li><li>
Collaborative, inclusive, and dynamic work environment.</li><li>
Commitment to innovation and professional excellence.</li></ul>
Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.
MultiBank Group combines prime liquidity, cutting-edge technology, and first-class service to deliver advanced trading platforms to clients worldwide.
Our mission is to provide exceptional products and services to our clients &mdash; and we continue to invest heavily in technology and regulation to benefit our customers and the financial industry as a whole.
As the most heavily regulated financial derivatives group, MultiBank Group maintains an unblemished regulatory record with all its regulators.
Positions available across our 25+ global offices &mdash; Dubai, Hong Kong, Singapore, London, Sydney, and more. Learn more: www.multibankgroup.com
MultiBank Group is an equal opportunity employer committed to diversity and inclusion. By submitting your application, you agree that your personal data will be processed in accordance with our Privacy Policy.</div>

AI Data Engineer

Printerpix

<div><div>About Printerpix: 
</div><div>
Printerpix is a fast-growing e-commerce innovator, revolutionizing the online photo printing and personalized gifting sector. We believe in celebrating life's milestones and everyday joys, from custom photo blankets to cherished photobooks. As we rapidly expand into new marketing channels and global markets, our team is growing exponentially. This is your chance to join a dynamic, results-driven organization where your contributions directly impact millions of customers worldwide, offering unparalleled opportunities to take on significant responsibility and accelerate your career trajectory.</div><div> 

Role Summary: 
</div><div>
As our Mid-Level AI Agent Systems Engineer, you will be instrumental in designing, building, and deploying autonomous AI agents that transform our e-commerce operations. This isn't about wrapping LLM APIs; you'll be engineering intelligent systems that execute complex workflows, becoming true AI teammates within Printerpix, directly impacting customer experience and operational efficiency.</div><div> 

What You'll Build: 
</div><div>
You'll be at the forefront of architecting and deploying production-grade AI agents that operate across our e-commerce platforms, internal tools, and customer touchpoints. This includes, but is not limited to: 
</div><ul><li>
Autonomous E-commerce Workflows: Developing agents that manage personalized product recommendations, automate order processing, handle complex customer service inquiries beyond simple chatbots, and orchestrate dynamic marketing campaigns.</li><li>
Internal Operational Automation: Building agents that streamline supply chain logistics, optimize inventory management, and automate content creation or design variations for our personalized products.</li><li>
Intelligent Data Agents: Crafting systems that interact with various databases and APIs to gather, analyze, and act upon insights, providing real-time intelligence for business decisions.</li><li>
Production-Grade Agentic Systems: Focusing on agent autonomy, reliability, and security, ensuring these agents can perform sophisticated, multi-step tasks across diverse enterprise systems and external APIs.</li></ul><div> 

Your First 90 Days:</div><ul><li>
Week 1: Immerse yourself in Printerpix's core e-commerce platform and existing data infrastructure. Meet the broader engineering, marketing, and operations teams to understand key pain points and opportunities for AI agent intervention. Set up your development environment.</li><li>
Month 1: Identify a high-impact internal workflow that can be partially or fully automated by an AI agent. You'll design the architecture for this pilot agent, demonstrating an initial proof-of-concept. Begin collaborating with stakeholders to refine requirements and integrate initial data sources.</li><li>
Month 3: Deploy your first production-grade internal AI agent, demonstrating measurable improvements (e.g., reduced manual effort, improved response times, increased data accuracy). Present your findings to leadership and outline the roadmap for scaling this agent and initiating development on a customer-facing agent.</li></ul><div> 

What We're Looking For:</div><ul><li>
Professional Experience: 2-5 years of hands-on experience in software engineering, machine learning, or AI systems development, with a specific focus on agentic systems or complex AI integrations.</li><li>
Python Proficiency: Expert-level proficiency in Python, utilized for building robust, scalable AI agent systems, orchestrating complex workflows, and developing efficient data pipelines.</li><li>
LLM Architectures &amp; Prompt Engineering: Deep theoretical and practical understanding of Large Language Model (LLM) architectures. Proven ability to apply advanced prompt engineering techniques, including few-shot learning, chain-of-thought prompting, and self-correction mechanisms, to maximize agent performance and reliability.</li><li>
System Design &amp; Distributed Systems: Demonstrated capability to design, architect, and implement end-to-end agentic systems, ensuring high availability, fault tolerance, and scalability in a distributed environment, handling thousands of concurrent interactions.</li><li>
Machine Learning Fundamentals: Solid grasp of core machine learning principles, enabling you to integrate custom ML models, fine-tune existing ones, and evaluate agent performance effectively.</li><li>
RESTful APIs: Strong experience in designing, building, and consuming RESTful APIs, facilitating seamless integration of AI agents with our e-commerce platforms, internal services, and third-party tools.</li><li>
AWS Expertise: Hands-on experience with key AWS services (e.g., EC2, Lambda, S3, RDS, EKS, SageMaker) for deploying, monitoring, and managing secure, high-performance AI agent infrastructure.</li><li>
Agent Orchestration Frameworks: Practical expertise with AI orchestration frameworks like LangChain (or similar, such as LlamaIndex or CrewAI) for constructing and managing complex, multi-step agentic workflows and tooling.</li><li>
Retrieval Augmented Generation (RAG): Proven experience implementing and optimizing RAG pipelines to ground AI agents with proprietary e-commerce data, ensuring accurate, context-aware, and up-to-date responses.</li><li>
FastAPI Development: Proficient in developing high-performance, asynchronous API services using FastAPI to serve agent endpoints and integrate with front-end applications or other microservices.</li></ul><div> 

Nice-to-Have:</div><ul><li>
MLOps Practices: Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow) for managing the complete lifecycle of AI agents, from experimentation to production deployment and monitoring.</li><li>
Vector Databases: Experience with vector databases (e.g., Pinecone, Weaviate, Milvus) for efficient semantic search and retrieval in RAG architectures.</li><li>
Container Orchestration: Experience with Kubernetes for orchestrating and managing containerized AI agent deployments at scale.</li><li>
Streaming Platforms: Exposure to real-time data streaming platforms like Kafka for building event-driven agent architectures and processing high volumes of data.</li><li>
Reinforcement Learning: Understanding of reinforcement learning concepts or their application in optimizing agent behavior and decision-making over time.</li></ul><div> 

Why This Role:</div><div> 
This is a unique opportunity for a Mid-Level AI Agent Systems Engineer to define and build the future of AI within a rapidly expanding e-commerce brand. You won't be a cog in a large machine; you'll be a foundational engineer shaping how AI agents are architected, orchestrated, and trusted across our global operations, impacting millions of customers. You'll gain unparalleled ownership, directly influencing technology choices and strategic direction for AI at Printerpix. The scope for rapid career acceleration into senior leadership and the chance to build a truly impactful portfolio of agentic systems from the ground up far exceeds typical mid-level roles. If you're looking to move beyond theoretical AI to deploying real-world agents that drive tangible business outcomes, this is your chance to shine.</div></div>

AI Agent Systems Engineer - Mid Level

TALENTMATE

<div>
 
 Job Description
 
 
 
 Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.
 
 
 We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.
 
 
 Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. Were all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.
 
 
 
 
 
 Job Description
 
 
 
 
 
 As the leading delivery company in the region, we have a great responsibility and opportunity to impact the lives of millions of customers, restaurant partners, and riders. To realize our potential, we need to advance our platform to become much more intelligent in how it understands and serves our users.
 
 
 As a data scientist on the algorithms track, your mission will be to improve the quality of the decisions made across product and business via relevant, reliable, and actionable data through building machine learning models at scale. You will own a particular domain across product and business and will work closely with the corresponding product and business managers as part of a talented team of data scientists and data engineers. You will own the entire data value chain, including logging, data modeling, analysis, reporting, and experimentation.
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Leveraging ambiguous business problems as opportunities to drive objective criteria using data.
 </li>
 <li>
 Solving complex business problems using the simplest most appropriate Algorithms to deliver business value.
 </li>
 <li>
 Designing and implementing effective and impactful machine learning systems in production.
 </li>
 <li>
 Developing a deep understanding of the product experiences and business processes that make up your area of focus.
 </li>
 <li>
 Developing a deep familiarity with the source data and its generating systems through documentation, interacting with the engineering teams, and systematic data profiling.
 </li>
 <li>
 Contributing heavily to the design and maintenance of the data models that allow us to measure performance and comprehend performance drivers for your area of focus.
 </li>
 <li>
 Working closely with product and business teams to identify important questions that can be answered effectively with data.
 </li>
 <li>
 Delivering well-formed, relevant, reliable, and actionable insights and recommendations to support data-driven decision-making through deep analysis and automated reports.
 </li>
 <li>
 Designing, planning, and analyzing experiments (A/B and multivariate tests).
 </li>
 <li>
 Supporting product and business managers with KPI design and goal setting.
 </li>
 <li>
 Mentoring other data scientists in their growth journeys.
 </li>
 <li>
 Contributing to improving our ways of work, our tooling, and our internal training programs.
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 
 
 Technical Experience
 
 
 
 
 <ul>
 <li>
 Experience in machine learning, deep learning, recommendation/personalization systems, pattern recognition, data mining and artificial intelligence.
 </li>
 <li>
 Deep knowledge and experience in ML algorithms and frameworks (e.g. Scikit-learn, XGBoost, LightGBM, CatBoost, SVMs, Keras, TensorFlow, PyTorch ...).
 </li>
 <li>
 Excellent SQL.
 </li>
 <li>
 Competence with reproducible data analysis using Python or R.
 </li>
 <li>
 Familiarity with data modeling and dimensional design.
 </li>
 <li>
 Strong command over the entire data lifecycle including; problem formulation, data auditing, rigorous analysis, interpretation, recommendations, and presentation.
 </li>
 <li>
 Familiarity with different types of analysis including; descriptive, exploratory, inferential, causal, and predictive analysis.
 </li>
 <li>
 Deep understanding of the various experiment design and analysis workflows and the corresponding statistical techniques.
 </li>
 <li>
 Familiarity with product data (impressions, events, ..) and product health measurement (conversion, engagement, retention, ..).
 </li>
 <li>
 Familiarity with BigQuery and the Google Cloud Platform is a plus.
 </li>
 <li>
 Data engineering and data pipeline development experience (e.g. via Airflow)
 
 
 </li>
 </ul>
 
 
 Qualifications
 
 
 
 
 <ul>
 <li>
 Bachelors degree in engineering, computer science, technology, or similar fields. A postgraduate degree is a plus but not required.
 </li>
 <li>
 6+ years of experience working in data science, machine learning, and Gen AI.
 </li>
 <li>
 Experience doing data science in an online consumer product setting is a plus.
 </li>
 <li>
 A good problem solver with a &lsquo;figure it out&rsquo; growth mindset.
 </li>
 <li>
 An excellent collaborator.
 </li>
 <li>
 An excellent communicator.
 </li>
 <li>
 A strong sense of ownership and accountability.
 </li>
 <li>
 A &lsquo;keep it simple&rsquo; approach to #makeithappen.
 
 
 </li>
 </ul>
 Job Details
 
 
 Role Level: Mid-Level Work Type: Full-Time Country: United Arab Emirates City: Dubai Company Website: http://www.talabat.com Job Function: Information Technology (IT) Company Industry/
 
 
 Sector: IT Services and IT Consulting and Software Development
 
 
 What We Offer
 
 
 
 About The Company
 
 
 
 Searching, interviewing and hiring are all part of the professional life. The TALENTMATE Portal idea is to fill and help professionals doing one of them by bringing together the requisites under One Roof. Whether you're hunting for your Next Job Opportunity or Looking for Potential Employers, we're here to lend you a Helping Hand.
 
 
 Report
 
 
 Disclaimer: talentmate.com is only a platform to bring jobseekers &amp; employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@talentmate.com.
</div>

Staff Data Scientist Algorithms ML

Dataiku

<div>
 Dataiku is the Platform for AI Success, the enterprise orchestration layer for building, deploying, and governing AI. In a single environment, teams design and operate analytics, machine learning, and AI agents with the transparency, collaboration, and control enterprises require. Sitting above data platforms, cloud infrastructure, and AI services, Dataiku connects the full enterprise AI stack &mdash; empowering organizations to run AI across multi-vendor environments with centralized governance.
 
 
 The world&rsquo;s leading companies rely on Dataiku to operationalize AI and run it as a true business performance engine delivering measurable value. For more, visit the Dataiku blog, LinkedIn, X, and YouTube.
 
 
 The role of a Data Scientist at Dataiku is quite unique. Our Data Scientists not only code up solutions to real-world problems, but also participate in client-facing endeavours throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.
 
 
 Just as non-technical skills are important, so too are technical skills. Our Data Scientists work on the Dataiku platform every day. Aside from the visual tools, our team primarily uses Python and SQL, with occasional work in other languages (e.g., R, PySpark, JavaScript). An ideal candidate is excited to learn complex new technologies and modelling techniques while being able to explain their work to other data scientists and clients.
 
 
 
 In This Role, You'll Help The Team
 
 
 
 <ul>
 <li>
 Co-develop production-level data science projects with our customers
 </li>
 <li>
 Analyse and investigate various kinds of data and machine learning applications across industries and use cases
 </li>
 <li>
 Help users discover and master the Dataiku platform, via user trainings, office hours, and ongoing consultative support
 </li>
 <li>
 Provide data science expertise both to customers and internally to Dataiku&rsquo;s sales and marketing teams
 </li>
 <li>
 Develop custom Python-based &ldquo;plugins&rdquo; in collaboration with Solutions, R&amp;D, and Product teams, to enhance Dataiku&rsquo;s functionality
 
 
 </li>
 </ul>
 
 You might be a good fit for the role if you have:
 
 
 
 <ul>
 <li>
 English - fluent, Arabics - fluent/native will be a big plus
 </li>
 <li>
 Curiosity and a desire to learn new topics and skills
 </li>
 <li>
 Empathy for others and an eagerness to share your knowledge and expertise with your colleagues, Dataiku&rsquo;s customers, and the general public
 </li>
 <li>
 The ability to clearly explain complex topics to technical as well as non-technical audiences
 </li>
 <li>
 2 - 10 years of experience with Python and SQL
 </li>
 <li>
 2 - 10 years of experience with building ML models and using ML tools (e.g., sklearn)
 </li>
 <li>
 Familiarity with data visualisation in Python and R
 </li>
 <li>
 Understanding of underlying data systems such as Cloud architectures, Hadoop, or SQL
 
 
 </li>
 </ul>
 
 Technical Skills That May Help You In The Role
 
 
 
 <ul>
 <li>
 Experience with Consulting and/or Customer-facing Data Science roles
 </li>
 <li>
 Experience with Data Engineering or MLOps
 </li>
 <li>
 Experience developing WebApps in JavaScript, RShiny, or Dash
 </li>
 <li>
 Experience building APIs
 </li>
 <li>
 Experience using enterprise data science tools
 </li>
 <li>
 Passion for teaching or public speaking
 
 
 </li>
 </ul>
 
 What are you waiting for!
 
 
 
 At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you&rsquo;d like to learn even more about working here, you can visit our Dataiku LinkedIn page.
 
 
 
 Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at:
 
 reasonable-accommodations@dataiku.com
 
 
 
 Protect yourself from fraudulent recruitment activity
 
 
 
 
 Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity here.
 
 
 
</div>

Senior Data Scientist

Snowflake

<div><div>At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don&rsquo;t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset &mdash; who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
Position Overview: We are seeking an exceptional individual to join our team as an AI/ML Specialist looking after the META region in the Applied Field Engineering team. The ideal candidate will combine deep technical expertise with outstanding interpersonal skills to drive sales and innovation, align technical solutions with customer needs, and foster collaboration across teams. This position demands a thought leader who is equally comfortable discussing technical architectures and shaping strategic decisions.<div>
KEY RESPONSIBILITIES:</div><ul><li>
Solution Selling:<ul><li>
The role will be aligned to the sales engineering organisation, and hence the successful candidate should be skilled in technical sales.</li></ul></li><li>
Strategic Leadership:<ul><li>
Act as a trusted advisor to customers and internal stakeholders, guiding them on how our solutions align with their business goals.</li><li>
Support the adoption of features, best practices and technologies in the broader Snowflake ecosystem to maintain a competitive edge.</li></ul></li><li>
Technical Expertise:<ul><li>
Influence the design and implementation of complex AI/ML solutions, ensuring scalability, performance, and security.</li><li>
Provide hands-on technical guidance to AI/ML teams during critical projects.</li><li>
Stay updated on industry advancements, identifying opportunities to integrate cutting-edge technologies into our offerings.</li></ul></li><li>
Customer Engagement:<ul><li>
Deliver compelling technical presentations, workshops, and demonstrations to customers and partners.</li><li>
Troubleshoot and resolve customer challenges, leveraging a deep understanding of their workloads.</li></ul></li><li>
Team Collaboration:<ul><li>
Collaborate with product teams, fostering a culture of innovation, learning, and excellence.</li><li>
Team up with sales, marketing, and the wider snowflake team as well as GSIs, CSPs and ISVs to ensure alignment on customer objectives.</li><li>
Contribute to thought leadership through blog posts, white papers, quickstarts and industry events.</li></ul></li></ul><div>
TECHNICAL REQUIREMENTS:</div><ul><li>
Essential<ul><li>
Generative AI: Experience or understanding of using LLMs and related technology (e.g. vector dbs, embeddings etc.) for either chat assistants or unstructured data processing. Interest in emerging trends in the field such as Agents</li><li>
Machine Learning: Experience in the standard Python stack including but not limited to pandas, numpy, sklearn, matplotlib, pytorch etc.</li><li>
Programming: Demonstrated ability to code working AI/ML prototypes in Python (and, ideally, Snowpark Python)</li><li>
Solution Design: Demonstrated ability to architect complex, scalable solutions across diverse industries</li></ul></li><li>
Highly Desirable<ul><li>
Snowflake Experience: experience with the Snowflake AI/ML ecosystem</li><li>
Data Engineering: while not strictly part of the role, experience in the adjacent/overlapping discipline is beneficial</li><li>
ML Ops: Experience in ML Ops including feature stores, model registries, observability</li><li>
DevOps and CI/CD: Experience of DevOps practices and CI/CD pipelines</li></ul></li></ul><div>
PERSONAL ATTRIBUTES:</div><ul><li>
Visionary Thinking: Ability to anticipate industry trends and align technical sales strategies accordingly.</li><li>
Exceptional Communication: Skilled at translating complex technical concepts into accessible language for diverse audiences.</li><li>
Customer-Centric: Deeply invested in understanding and addressing customer needs.</li><li>
Collaborative Leadership: Proven ability to inspire, mentor, and unify cross-functional teams.</li><li>
Resilience: Comfortable navigating ambiguity, making tough decisions, and adapting to rapid changes.</li><li>
Integrity and Empathy: Embodying transparency, honesty, and understanding in all professional interactions.</li><li>
Internal Motivation: Demonstrates self-drive, passion, and a proactive approach to achieving goals and continuous improvement.</li></ul>
Why Join Us? This is a rare opportunity to shape the future of our product initiatives while having a meaningful impact on our customers and the industry. If you are a passionate technologist with a strategic mindset and a people-first approach and enjoy selling, we invite you to bring your expertise and vision to our team.
Snowflake is growing fast, and we&rsquo;re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com</div></div>

AI Specialist

<div><div>Printerpix is a rapidly expanding e-commerce leader in online photo printing and personalized gifting. We're growing our team aggressively as we launch into new markets and marketing channels across the globe. This is a unique opportunity to join a high-velocity environment where you'll quickly gain significant responsibility and accelerate your career. At Printerpix, we help people celebrate life's most cherished moments, from custom blankets to personalized photo books, bringing joy through every creation. 
</div><div>
Role Summary:</div><div>
We&rsquo;re looking for an ambitious AI Agent Systems Engineer to join our elite squad of builders. This isn't a role for someone who just wants to write scripts; it&rsquo;s for a foundational expert ready to design and deploy intelligent, autonomous agents that drive real-world e-commerce actions. You&rsquo;ll work in a high-intensity, AI-native environment where shipping fast and building for reliability are the top priorities. 
</div><div>
What You&rsquo;ll Build:</div><ul><li>
As our AI Agent Systems Engineer, you will move beyond simple chat interfaces to build agents that execute:</li><li>
Autonomous E-commerce Workflows: Architect agents that dont just answer questions, but use toolsets to modify orders, resolve complex logistics issues, and interact directly with our core APIs.</li><li>
High-Velocity Marketing Agents: Develop intelligent systems to autonomously manage and optimize digital advertising spend, adjusting bids and creative targeting based on real-time performance.</li><li>
Agentic Personalization: Implement frameworks that reason through customer behavior and real-time event data to suggest deeply personalized gifting experiences.</li><li>
Foundational AI Orchestration: Work with the team to establish robust agentic infrastructure, ensuring multi-step workflows are scalable, observable, and high-performing.</li></ul><div> 

Who You Are:</div><ul><li>
A High-Velocity Python Developer: You write clean, production-grade Python. You aren't just a coder; you're a system designer who understands how AI fits into a larger architecture.</li><li>
Continuous Learner &amp; AI-Native: You are always following new developments in the AI space (models, frameworks, research) to understand how to leverage the latest tech to ship 10x faster. You are likely a power user of Cursor and Claude Code.</li><li>
Agent Architect: You have a strong grasp of frameworks like LangGraph, CrewAI, or LangChain. You understand how to build multi-agent systems that can reason, act, and iterate through complex tasks.</li><li>
Ambitious &amp; Competitive: You want to be surrounded by other young, hungry engineers. You thrive in an environment where your skills are constantly pushed by your peers and the cutting-edge tech you use.</li><li>
Outcome Obsessed: You understand that &quot;demo-grade&quot; isn't enough. You care about prompt engineering, guardrails, and building agents that perform consistently in a production environment.</li></ul><div></div><div> 
The Tech Stack &amp; Tools:</div><ul><li>
Languages: Python (Clean, efficient, scalable).</li><li>
Orchestration: LangGraph, CrewAI, LangChain.</li><li>
Development: Cursor, Claude Code, GitHub Copilot.</li><li>
Deployment: Docker, Railway, Vercel, and modern CI/CD pipelines.</li></ul><div></div><div> 
Why This Role?</div><ul><li>
Elite Peer Group: Join a team of ambitious engineers using the world&rsquo;s most advanced AI tools to solve complex problems. You&rsquo;ll learn as much as you contribute.</li><li>
Total Ownership: From day one, you own your projects. You&rsquo;ll define the strategy and architecture for AI agents that reach millions of customers globally.</li><li>
Accelerated Career Path: This is a &quot;ground floor&quot; opportunity. In a high-growth environment like Printerpix, your impact is visible, rewarded, and directly tied to the company&rsquo;s global expansion.</li></ul></div><div></div>

AI Agent Systems Engineer

Careem

<div>
 
 About the Company
 
 
 
 Careem is building the Everything App for the greater Middle East &mdash; making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people&rsquo;s lives and build an awesome organisation that inspires.
 
 
 Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region&rsquo;s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
 
 
 
 
 We&rsquo;re now entering our next chapter &mdash; one powered by AI. We&rsquo;re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it&rsquo;s streamlining operations, enhancing customer experience, or reimagining internal systems &mdash; we want people who can make Careem work smarter and move faster.
 
 
 
 
 
 
 About the Role
 
 
 
 
 We&rsquo;re looking for senior technical leaders who can architect and scale intelligent systems that architect the "brain" of our dark store operations. As a senior data scientist you won&rsquo;t just be building models, you&rsquo;ll be optimizing the lifecycle of millions of items from the moment they leave a supplier to the moment they reach a customer&rsquo;s doorstep in under 20 minutes. You will tackle the classic "perishable trade-off" ensuring our shelves are always stocked with what customers want, while ruthlessly minimizing wastage and maximizing every square centimetre of our dark store floor space.
 
 
 
 
 What You'll Do
 
 
 
 
 <ul>
 <li>
 Demand Forecasting: Build and deploy high-precision forecasting models to predict hyper-local demand at the SKU-store level.
 </li>
 <li>
 Inventory &amp; Availability: Develop replenishment algorithms that balance In-Stock Availability with the risk of expiry, specifically for high-turnover perishables.
 </li>
 <li>
 Wastage Mitigation: Use ML to identify items at risk of expiring and trigger automated interventions including reduced-to-clear discounting, intra-store replenishment etc.
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 Dynamic Pricing &amp; Discounts: Design and A/B test pricing strategies that move inventory efficiently without eroding margins.
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 Space Management: Optimize dark store space determining which items should be stored where within the dark store to minimize picker travel time and maximize storage density.
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 End-to-End Ownership: Work closely with Product Managers and Supply Chain Operations to turn your models into production-level code that dictates real-world logistics.
 
 
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 What You'll Need
 
 
 
 
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 Academic Background &amp; Experience: 8+ years of experience in Data Science, ideally in E-commerce, Q-commerce, or Supply Chain. A background in Operations Research or Statistics. Hands-on proficiency in Python, Spark and ML frameworks. Experience with real-time inference systems and model monitoring in production. Strong understanding of experimentation, A/B testing, and causal inference. Demonstrated ability to drive architectural decisions across teams.
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 Technical Skills: Professional-grade Python and SQL. Experience with optimization libraries (like Gurobi, CPLEX, or PuLP) and ML frameworks (XGBoost, LightGBM, or PyTorch).
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 Problem Solving: Experience with Stochastic Optimization or Reinforcement Learning for inventory management is highly preferred.
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 Business Intuition: You understand that a 1% reduction in wastage across 100+ stores translates to millions in saved EBITDA.
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 Communication Skills: Excellent communication skills and ability to translate complex modelling trade-offs into business impact.
 
 
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 What We&rsquo;ll Provide You
 
 
 
 
 
 
 We Offer Colleagues The Opportunity To Drive Impact In The Region While They Learn And Grow. As a Full Time Careem Colleague, You Will Be Able To
 
 
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 Work and learn from great minds by joining a community of inspiring colleagues.
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 Put your passion to work in a purposeful organisation dedicated to creating impact in a region with a lot of untapped potential.
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 Explore new opportunities to learn and grow every day.
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 Work 4 days a week in office &amp; 1 day from home, and remotely from any country in the world for 30 days a year with unlimited vacation days per year. (If you are in an individual contributor role in tech, you will have 2 office days a week and 3 to work from home.)
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 Access to healthcare benefits and fitness reimbursements for health activities including gym, health club, and training classes.
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Senior Data Scientist II - Supply Chain

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