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data analyst & visualization specialist Jobs in Dubai

data analyst & visualization specialist

data platform engineer

BlackStone eIT

<div>BlackStone eIT is looking for a skilled Data Platform Engineer to join our dynamic team. You will be responsible for designing, building, and maintaining scalable data platforms that support the company&rsquo;s data processing and analytics needs.
In this role, you will collaborate with data engineers, analysts, and other stakeholders to develop efficient data pipelines, ensure data quality, and contribute to the overall data infrastructure architecture. This is a fantastic opportunity to advance your career by working with cutting-edge technologies and helping shape BlackStone eIT&rsquo;s data capabilities.
Key Responsibilities
Required Skills &amp; Technologies<ul><li>Python &mdash; async data pipelines, background jobs, scripting</li><li>PostgreSQL &mdash; schema design, migrations (Alembic), query optimization</li><li>Azure Data Lake Storage + Synapse Analytics</li><li>dbt &mdash; transformation, testing, documentation</li><li>Apache Airflow or Azure Data Factory</li><li>Data quality frameworks (Great Expectations, dbt tests, or custom)</li><li>Observability &mdash; structured logging, alerting, Azure Monitor or Prometheus/Grafana</li><li>Microsoft Graph API &mdash; SharePoint, M365 data extraction</li><li>Redis &mdash; queue management, caching</li><li>Docker &mdash; containerized pipeline jobs</li><li>SQL &mdash; advanced analytical queries, window functions, performance tuning</li></ul><ul><li>
Develop and maintain data pipelines for ingestion, processing, and storage of large datasets</li><li>
Implement ETL/ELT processes to transform raw data into usable formats</li><li>
Collaborate with cross-functional teams to understand data requirements and deliver solutions</li><li>
Ensure data quality, consistency, and reliability across platforms</li><li>
Optimize database performance and monitor platform health</li><li>
Assist in the design and implementation of data governance and security measures</li><li>
Document data infrastructure and processes for operational clarity</li></ul> 

Requirements 
<ul>
<li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related field</li>
<li>3+ years of experience in data engineering or data platform development</li>
<li>Proficiency in SQL and experience with relational databases like PostgreSQL or MySQL</li>
<li>Familiarity with data pipeline and ETL tools such as Apache Airflow, Azure Data Factory, or similar</li>
<li>Experience with cloud platforms (AWS, Azure, or Google Cloud)</li>
<li>Knowledge of Python or another programming/scripting language for data processing</li>
<li>Understanding of data security, governance, and quality best practices</li>
<li>Strong analytical and problem-solving skills</li>
<li>Good communication skills and ability to work effectively in a team environment</li> 
</ul> 
 
Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

Data Platform Engineer

ByteDance

<div>
 
 Responsibilities
 
 
 
 Team Introduction
 
 
 The mission of the CSS data team is to empower the Corporate Service System Business with data. We support our businesses in achieving their missions by building high quality real-time and offline data warehouses, creating various forms of efficient and data-friendly data assets, and exploring and implementing business oriented data solutions. We provide stable and reliable data capabilities for daily operations, analyses, decision-making of the Workplace Service System.
 
 
 As a data engineer in the CSS data team, you will have the opportunity to build, optimize and grow one of the largest data platforms in the world. You'll have the opportunity to gain hands-on experience on all kinds of systems in the data platform ecosystem.If you're looking for a challenging ground to push your limits, this is the team for you!
 
 
 We are looking for talented individuals to join our team in 2026. As a graduate, you will get opportunities to pursue bold ideas, tackle complex challenges, and unlock limitless growth. Launch your career where inspiration is infinite at ByteDance.
 
 
 Successful candidates must be able to commit to an onboarding date by end of year 2026. Please state your availability and graduation date clearly in your resume.
 
 
 Candidates can apply to a maximum of two positions and will be considered for jobs in the order you apply. The application limit is applicable to ByteDance and its affiliates' jobs globally. Applications will be reviewed on a rolling basis. We encourage you to apply as early as possible.
 
 
 Online Assessment
 
 
 Candidates who pass resume screening will be invited to participate in ByteDance 's technical online assessment.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build data transformations efficiently and reliably for different purposes (e.g. reporting, growth analysis, multi-dimensional analysis).
 </li>
 <li>
 Design and implement reliable, scalable, robust and extensible big data systems that support core products and business.
 </li>
 <li>
 Establish solid design and best engineering practice for engineers as well as non-technical people.
 
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Minimum Qualification(s):
 
 
 <ul>
 <li>
 Completing or have recently completed a Bachelor&rsquo;s degree in in Software Development, Computer Science, Computer Engineering, or a related technical discipline.
 </li>
 <li>
 Proficient in Java/Python, and have solid programming skills(e.g. algorithms and data structures).
 </li>
 <li>
 Familiar with Big Data technologies (Hadoop, M/R, Hive, Spark, Flink etc.).
 </li>
 <li>
 Good communication and teamwork skills to clearly communicate technical concepts with other teammates.
 
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Experience with performing data analysis, data ingestion and data integration.
 </li>
 <li>
 Experience with ETL(Extraction, Transformation &amp; Loading) and architecting data systems.
 </li>
 <li>
 Experience with schema design, data modeling and SQL queries.
 
 
 
 </li>
 </ul>
 By submitting an application for this role, you accept and agree to our global applicant privacy policy, which may be accessed here: https://jobs.bytedance.com/en/legal/privacy
 
 
 Job Information
 
 
 
 About Us
 
 
 
 Founded in 2012, ByteDance's mission is to inspire creativity and enrich life. With a suite of more than a dozen products, including TikTok, Lemon8, CapCut and Pico as well as platforms specific to the China market, including Toutiao, Douyin, and Xigua, ByteDance has made it easier and more fun for people to connect with, consume, and create content.
 
 
 Why Join ByteDance
 
 
 Inspiring creativity is at the core of ByteDance's mission. Our innovative products are built to help people authentically express themselves, discover and connect &ndash; and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and enrich life - a mission we work towards every day.
 
 
 As ByteDancers, we strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our Company, and our users. When we create and grow together, the possibilities are limitless. Join us.
 
 
 Diversity &amp; Inclusion
 
 
 ByteDance is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At ByteDance, our mission is to inspire creativity and enrich life. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
 
 
</div>

Data Engineer Graduate (Corporate Information System) - 2026 Start (BS/MS)

Revolut

<div>About Revolut
People deserve more from their money. More visibility, more control, and more freedom. Since 2015, Revolut has been on a mission to deliver just that. Our powerhouse of products &mdash; including spending, saving, investing, exchanging, travelling, and more &mdash; help our 70+ million customers get more from their money every day.
As we continue our lightning-fast growth,&zwnj; 2 things are essential to our success: our people and our culture. In recognition of our outstanding employee experience, we've been certified as a Great Place to Work&trade;. So far, we have 13,000+ people working around the world, from our offices and remotely, to help us achieve our mission. And we're looking for more brilliant people. People who love building great products, redefining success, and turning the complexity of a chaotic world into the simplicity of a beautiful solution.
About the role
Our Technology team builds the systems and experiences that keep Revolut moving. From the infrastructure behind our innovative app to the features used by millions of people around the world, they bring sharp thinking, speed, and a focus on meaningful impact to everything they do.
We're looking for a Data Engineer to provide the infrastructure and tools that power insight generation and decision-making for everyone at Revolut, from entry-level analysts to C-level executives. You'll use your exceptional building and collaboration skills to uphold our data-centric culture.
Up to shape what's next in finance? Let's get in touch.
What you&rsquo;ll be doing<ul><li>
Designing, building, and maintaining efficient and reliable data platforms, streamlining end-to-end processes and automating workflows</li><li>
Partnering with cross-functional teams (Product, Engineering, Data Science) to build and enhance a seamless data platform, translating abstract concepts into practical solutions</li><li>
Establishing and enforcing data standards, maintaining comprehensive documentation, and managing a company-wide data registry</li><li>
Training and supporting users, and communicating platform updates and insights through various channels (dashboards, bots, etc.)</li><li>
Planning and executing organisation-wide platform changes, ensuring consistent best practices for coding, testing, deployment, and maintenance</li><li>
Leveraging data to guide all aspects of engineering work, ensuring insight-driven outcomes</li></ul>
What you'll need<ul><li>
A bachelor's or master's degree in computer science or related field, or equivalent practical experience</li><li>
Proficiency in Python, SQL, and Unix Shell scripting</li><li>
Experience implementing agile software development best practices, including TDD, refactoring, CI/CD, and XP</li><li>
Demonstrated experience in custom ETL design, implementation, and maintenance, along with workflow orchestration using tools like Airflow</li><li>
Expertise in distributed data processing and query engines (e.g., Trino, Spark, Snowflake, BigQuery)</li></ul>
Nice to have<ul><li>
Experience building large-scale infrastructure applications and writing maintainable code in multiple programming languages</li><li>
Expertise in cloud (GCP, AWS), containerisation, and infrastructure as code (Docker, Kubernetes, Terraform)</li><li>
An understanding of modern data architecture with experience implementing data mesh principles</li><li>
Familiarity with notebook-based data science workflows and proficiency in using monitoring and logging tools (NewRelic, Grafana, Prometheus, ELK)</li></ul>
Compensation range<ul><li>
Krakow: PLN36,000 - PLN40,000 gross monthly*</li><li>
Vilnius: &euro;7,200 - &euro;8,000 gross monthly*</li><li>
Poland: PLN36,000 - PLN40,000 gross monthly*</li><li>
Lithuania: &euro;7,200 - &euro;8,000 gross monthly*</li><li>
Other locations: Compensation will be discussed during the interview process</li><li>Final compensation will be determined based on the candidate's qualifications, skills, and previous experience</li></ul>
Building a global financial super app isn&rsquo;t enough. Our Revoluters are a priority, and that&rsquo;s why in 2021 we launched our inaugural D&amp;I Framework, designed to help us thrive and grow everyday. We're not just doing this because it's the right thing to do. We&rsquo;re doing it because we know that seeking out diverse talent and creating an inclusive workplace is the way to create exceptional, innovative products and services for our customers. That&rsquo;s why we encourage applications from people with diverse backgrounds and experiences to join this multicultural, hard-working team.
Important notice for candidates:
Job scams are on the rise. Please keep these guidelines in mind when applying for any open roles.<ul><li>Only apply through official Revolut channels. We don&rsquo;t use any third-party services or platforms for our recruitment.</li><li>Always double-check the emails you receive. Make sure all communications are being done through official Revolut emails, with an @revolut.com domain.</li></ul>
We won't ask for payment or personal financial information during the hiring process. If anyone does ask you for this, it&rsquo;s a scam. Report it immediately.
By submitting this application, I confirm that all the information given by me in this application for employment and any additional documents attached hereto are true to the best of my knowledge and that I have not wilfully suppressed any material fact. I confirm I have disclosed if applicable any previous employment with Revolut. I accept that if any of the information given by me in this application is in any way false or incorrect, my application may be rejected, any offer of employment may be withdrawn or my employment with Revolut may be terminated summarily or I may be dismissed. By submitting this application, I agree that my personal data will be processed in accordance with Revolut's Candidate Privacy Notice
Notice: This is a remote position based in Turkey.</div>

Software Engineer (Data)

<div>BlackStone eIT is seeking a talented and pragmatic AI Engineer (Applied) to join our dynamic team. In this role, you will focus on applying artificial intelligence techniques to solve real-world problems and deliver impactful solutions that drive business value. You will collaborate closely with product teams, data scientists, and software engineers to deploy AI models into production environments and continuously improve their performance.
The ideal candidate has hands-on experience with end-to-end AI system development and a strong focus on practical applications and scalability. You will work on diverse projects that require innovative AI solutions, from natural language processing to computer vision and predictive analytics.<ul><li>Data classification automation: implementing automated classification to remediate current failures, embedding classification into data pipelines alongside the Governance Lead</li><li>Operational AI agents: building production agents on top of the agentic platform &mdash; going beyond the sample agents the external partner delivers into real operational workflows</li><li>Agentic platform data contracts: defining what data the platform needs, in what format, with what quality guarantees &mdash; working with the Principal AI Engineer</li><li>AI service implementation: FastAPI service around LLM APIs with versioned prompt templates</li><li>Classification and briefing prompts: structured prompts returning validated JSON with tags, confidence levels, source attribution</li><li>Prompt versioning: templates in configuration, editable without code changes</li><li>Observability: every LLM call logged with input hash, model version, output, latency, token count</li><li>Fallback logic: graceful degradation when LLM APIs are unavailable</li><li>Quality evaluation: running precision/recall evaluations against human reviewer samples, reporting results, iterating prompts</li></ul> 
Requirements 
<ul><li>
5+ years of experience applying AI and machine learning techniques in a production environment.</li><li>
Strong proficiency in programming languages such as Python and familiarity with AI/ML frameworks like TensorFlow, PyTorch, or Scikit-learn.</li><li>
Experience with deploying and maintaining AI models at scale.</li><li>
Good understanding of data preprocessing, feature engineering, and model evaluation.</li><li>
Background in statistics, mathematics, or computer science.</li><li>
Ability to collaborate effectively with cross-functional teams and translate business needs into applied AI solutions.</li><li>
Excellent problem-solving skills and a practical, solution-oriented mindset.</li><li>
Experience with cloud platforms (AWS, GCP, Azure) and MLOps practices is a plus.</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in a relevant field such as Computer Science, Data Science, or AI.</li><li><ul><li>LLM APIs (Claude, GPT-4, open-weight models) &mdash; structured output, JSON mode, system prompts</li><li>Prompt engineering for classification &mdash; zero-shot and few-shot</li><li>Python &mdash; async API calls, retry logic, exponential backoff</li><li>LLM evaluation &mdash; precision/recall, human-AI agreement scoring</li><li>Structured output &mdash; JSON schema enforcement, Pydantic validation</li><li>Open-weight / sovereign model APIs (Falcon, Llama, or equivalent)</li><li>Token budgeting and context window management</li><li>AI observability &mdash; output quality monitoring, anomaly detection</li><li>FastAPI and Docker</li></ul></li></ul> 

Benefits 
<ul>
<li>Paid Time Off</li>
<li>Performance Bonus</li>
<li>Training &amp; Development</li></ul></div>

AI Engineer (Applied)

Delivery Hero

<div>Company 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. We're 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 
About the Role
We&rsquo;re looking for a Data Engineer who&rsquo;s passionate about building reliable, scalable, and cost-efficient data systems. You&rsquo;ll work with a modern stack, Kafka, Google Cloud Platform (GCP), AWS, to design and maintain the pipelines that power analytics, machine learning, and product insights.
Ideal role for someone with solid foundational skills in data engineering who&rsquo;s ready to deepen their expertise, take ownership of workflows, and collaborate across teams.
If you don&rsquo;t know every tool in our stack yet, that&rsquo;s okay. We value curiosity, problem-solving, and a willingness to learn just as much as existing technical skills.
What's On Your Plate?<ul><li>
Design, build, and maintain data pipelines and workflows for batch and streaming use cases.</li><li>
Work with Kafka to manage real-time data ingestion and event-driven architectures.</li><li>
Leverage GCP and AWS services for storage, processing, and orchestration (e.g., BigQuery, Dataflow, S3, Lambda).</li><li>
Orchestrate workflows using tools like Airflow or similar schedulers.</li><li>
Ensure data quality and reliability through monitoring, alerting, and automated validation.</li><li>
Collaborate with analysts, data scientists, and product teams to understand requirements and deliver data solutions that drive business impact.</li><li>
Optimize for cost and performance across cloud environments.</li><li>
Participate in code reviews, documentation, and knowledge sharing to raise the bar for the team.</li></ul> 

Our Tech Stack<ul><li>
Data Ingestion &amp; Streaming: Apache Kafka, Kafka Connect</li><li>
Cloud Platforms: Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Storage), AWS (S3, Lambda, Glue)</li><li>
Workflow Orchestration: Apache Airflow</li><li>
Programming Languages: Python, SQL, (bonus: Java/Scala)</li><li>
Infrastructure &amp; DevOps: Terraform, CI/CD pipelines, Docker</li><li>
Monitoring &amp; Observability: Grafana, Prometheus, Cloud-native tools</li></ul> 
Qualifications 
What Did We Order?
What We&rsquo;re Looking For<ul><li>
Experience (1-3 years) in data engineering, software engineering, or a related field.</li><li>
Proficiency in SQL and at least one programming language (Python preferred).</li><li>
Understanding of data modeling, ETL/ELT concepts, and cloud-based data warehouses.</li><li>
Familiarity with streaming platforms (Kafka, Kinesis, or similar).</li><li>
Comfort working in cloud environments (GCP, AWS, or Azure).</li><li>
Strong communication skills, able to explain technical concepts to non-technical audiences.</li><li>
Growth mindset, eager to learn, adapt, and take on new challenges. 
</li></ul>Nice-to-Have (But Not Required and willing to learn)<ul><li>
Experience with infrastructure-as-code (Terraform, CloudFormation).</li><li>
Exposure to containerization (Docker, Kubernetes).</li><li>
Knowledge of data governance, security, and compliance best practices.</li></ul> 
Additional Information 
Why You&rsquo;ll Love Working Here<ul><li>
Impact: Your work will directly influence how data powers decisions across the company.</li><li>
Learning culture: We invest in your growth &mdash; from mentorship to training budgets.</li><li>
Modern stack: Work with cutting-edge tools and cloud platforms.</li><li>
Collaboration: Partner with talented engineers, analysts, and product managers.</li><li>
Flexibility: We care about outcomes, not where you work from.</li></ul>
Our Hiring Philosophy
We know that a great data engineer isn&rsquo;t defined by checking every box. If you&rsquo;re excited about data engineering, have a solid foundation, and are eager to grow, we want to hear from you.</div>

Data Engineer II

LanceSoft Middle East

<div>
 
 
 Position: Cloud &amp; Virtualization Engineer
 
 
 
 
 Duration: 2 yr ext.
 
 
 
 
 Job Location: Dubai(Onsite)
 
 
 
 
 Job Summary
 
 
 <ul>
 <li>
 The Azure &amp; OpenShift Cloud Engineer will be responsible for the design, deployment, administration, and optimization of DHA&rsquo;s Microsoft Azure cloud services and OpenShift container platform. The role ensures availability, scalability, security, compliance, and operational excellence of the cloud and container ecosystem while following ITIL-aligned managed services processes.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years&rsquo; experience in enterprise cloud / infrastructure engineering.
 </li>
 </ul>
 
 
 Strong hands-on expertise in:
 
 
 <ul>
 <li>
 Microsoft Azure administration
 </li>
 <li>
 OpenShift platform operations
 </li>
 </ul>
 
 
 Strong understanding of:
 
 
 <ul>
 <li>
 Azure networking, identity, governance, backup/DR
 </li>
 <li>
 container orchestration and platform operations
 </li>
 </ul>
 
 
 Experience with automation and scripting:
 
 
 <ul>
 <li>
 PowerShell, Bash, Python, Terraform
 </li>
 </ul>
 
 
 Monitoring and troubleshooting skills using:
 
 
 <ul>
 <li>
 Azure Monitor / Log Analytics
 </li>
 <li>
 Prometheus / Grafana
 </li>
 <li>
 Strong analytical troubleshooting and RCA skills.
 </li>
 <li>
 Experience working in managed services / SLA-based operations.
 </li>
 <li>
 Good communication and documentation skills.
 </li>
 </ul>
 
 
 
 
 
 Preferred Certifications
 
 
 <ul>
 <li>
 Azure: AZ-104, AZ-305.
 </li>
 <li>
 AWS: AWS Certified Solutions Architect &ndash; Associate / Professional
 </li>
 <li>
 OpenShift / Containers: Red Hat OpenShift Administration, CKA.
 </li>
 <li>
 VMware: VCP-DCV, VCAP-DCV (Optional)
 </li>
 <li>
 ITIL: ITIL 4 Foundation
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.
 </li>
 <li>
 Equivalent practical experience may be considered.
 </li>
 </ul>
</div>

Cloud & Virtualization Engineer

noon

<div>
 
 
 About noon
 
 
 
 We&rsquo;re building an ecosystem of digital products and services that power everyday life across the Middle East&mdash;fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we&rsquo;re looking for a (add title) who can help us move even faster.
 
 
 noon&rsquo;s mission: Every door, every day.
 
 
 
 
 
 
 About the role
 
 
 
 As an AI
 
 Engineer
 
 (Conversational AI and GenAI Engineer), you will technically lead and own end-to-end customer-facing conversational AI agents that power noon&rsquo;s customer support experience. Your focus will be on building reliable, context-aware AI agents that solve real customer problems at scale, minimize customer wait times, and materially amplify the effectiveness of noon&rsquo;s customer support.
 
 
 
 
 
 You will collaborate closely with product and operations teams to improve how AI agents understand context, retrieve information, and respond accurately&mdash;while knowing when to hand off to human agents. Beyond a single chatbot, you will help evolve a reusable GenAI platform that can be extended across other noon marketplaces and use cases. In this role, you are expected to understand how the LLMs work, how to use them safely, and how to design production systems around their strengths and limitations in a cost effective way at scale.
 
 
 
 
 
 
 What you&rsquo;ll do
 
 
 
 Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.
 
 
 
 
 <ul>
 <li>
 Lead the design, build from scratch, and own the end-to-end customer-facing AI agent, starting with chat-based support and evolving toward voice-enabled AI for use cases such as orders, refunds, delivery, warranty, payments, and product queries.
 </li>
 <li>
 Design and implement context-aware conversational flows using LLMs, with a focus on accuracy and user experience.
 </li>
 <li>
 Build and optimize Retrieval-Augmented Generation (RAG) pipelines using FAQs, policies, and historical support data.
 </li>
 <li>
 Integrate AI agents with customer support tools and internal e-commerce systems.
 </li>
 <li>
 Monitor, evaluate, and continuously improve AI performance in production by building CI/CD pipelines with evals.
 </li>
 <li>
 Contribute to turning the conversational chatbot platform into a scalable, cost efficient, reusable, framework for other noon marketplaces.
 </li>
 </ul>
 
 
 
 
 
 What we&rsquo;re looking for
 
 
 <ul>
 <li>
 5+ years of professional software development experience, building and operating backend or platform systems in production.
 </li>
 <li>
 2+ years of hands-on experience working with conversational AI or GenAI systems in production used by real users.
 </li>
 <li>
 Clear understanding of how LLMs work, including prompt design, context management, and known limitations.
 </li>
 <li>
 Strong programming skills in Python and experience building backend services.
 </li>
 <li>
 Hands-on experience using frameworks such as LangChain, LangGraph, MCP or similar tools.
 </li>
 <li>
 Experience integrating AI systems with APIs, databases, and production services.
 </li>
 <li>
 A product-focused mindset with end-to-end ownership of customer-facing AI systems, including responsibility for production reliability, correctness, cost effectiveness and continuous improvement.
 </li>
 </ul>
 
 
 
 
 
 Nice to have
 
 
 <ul>
 <li>
 Experience with customer support or agent-assist platforms.
 </li>
 <li>
 Familiarity with vector databases and semantic search.
 </li>
 <li>
 Hands-on ML/NLP experience used at large scale in production systems.
 </li>
 <li>
 Background in e-commerce or marketplace platforms.
 </li>
 <li>
 Experience evaluating LLM outputs, improving response quality over time, and making informed trade-offs to optimize cost and performance at scale.
 </li>
 </ul>
 
 
 
 
 
 Who will excel?
 
 
 <ul>
 <li>
 We&rsquo;re looking for people with high standards, who understand that hard work matters.
 </li>
 <li>
 You need to be relentlessly resourceful and operate with a deep bias for action.
 </li>
 <li>
 We need people with the courage to be fiercely original.
 </li>
 <li>
 noon is not for everyone; readiness to adapt, pivot, and learn is essential.
 </li>
 </ul>
 
 
</div>

Software Development Engineer 3 (conversational AI)

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