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ai data 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

YO IT Consulting

<div>
 
 Job Title:
 
 AI/ML Engineer
 
 
 
 Job Type:
 
 Full-Time
 
 
 
 Job Summary
 
 
 
 Join our team as a AI/ML Engineer and play a pivotal role in driving mission-critical government initiatives while also contributing to proprietary AI infrastructure, you&rsquo;ll harness advanced large language models (LLMs), retrieval-augmented generation (RAG), and multi-agent orchestration to deliver secure, scalable, and impactful machine learning systems. You&rsquo;ll work closely with cross-functional experts, leveraging frontier AI platforms and the latest in agentic AI tooling.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, implement, and optimize AI/ML models particularly leveraging LLMs, RAG, and prompt engineering for production grade applications.
 </li>
 <li>
 Develop and orchestrate multi-agent systems using frameworks such as LangGraph and LangChain.
 </li>
 <li>
 Integrate and deploy solutions on secure cloud environments, including AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, and AWS Bedrock.
 </li>
 <li>
 Build robust data pipelines, manage ETL processes, and develop metadata catalogs and ontologies to ensure high-quality data for AI training and inference.
 </li>
 <li>
 Create and maintain REST APIs and SDK integrations to facilitate seamless data and model interactions.
 </li>
 <li>
 Collaborate with product, security, and engineering teams to ensure best-in-class delivery, following secure coding and DevOps best practices (CI/CD).
 </li>
 <li>
 Document technical decisions and communicate complex concepts clearly to both technical and non-technical stakeholders.
 
 
 </li>
 </ul>
 
 Required Skills And Qualifications
 
 
 
 <ul>
 <li>
 Proficiency in Python for AI/ML development, including experience with REST APIs and SDK integration.
 </li>
 <li>
 Hands-on experience with LLMs, RAG systems, and prompt engineering in production environments.
 </li>
 <li>
 Familiarity with multi-agent orchestration, tool use, and frameworks like LangGraph and LangChain.
 </li>
 <li>
 Deep understanding of cloud AI services (AWS GovCloud, Google GovCloud, Azure IL5+, Vertex AI, AWS Bedrock).
 </li>
 <li>
 Background in building and maintaining data pipelines, ontologies, metadata catalogs, and ETL processes.
 </li>
 <li>
 Strong grasp of secure coding and modern DevOps practices (CI/CD pipelines).
 </li>
 <li>
 Exceptional written and verbal communication skills for effective collaboration and documentation.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with AI/agentic platforms, such as Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, or Grok Enterprise.
 </li>
 <li>
 Knowledge of metadata catalog platforms (MCP) and advanced API development techniques.
 </li>
 <li>
 Prior exposure to government or highly regulated cloud environments and compliance standards.
 </li>
 </ul>
</div>

AI/ML Engineer - Remote

BlackStone eIT

<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)

Scale AI

<div>
 Scale&rsquo;s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of:
 
 
 <ul>
 <li>
 Creating custom AI applications that will impact millions of citizens
 </li>
 <li>
 Generating high-quality training data for custom LLMs
 </li>
 <li>
 Upskilling and advisory services to spread the impact of AI
 
 
 </li>
 </ul>
 As a Full Stack Software Engineer (Forward Deployed), you&rsquo;ll collaborate directly with public sector counterparts to quickly build full-stack, AI applications, to solve their most pressing challenges and achieve meaningful impact for citizens.
 
 
 At Scale, we&rsquo;re not just building AI solutions&mdash;we&rsquo;re enabling the public sector to transform their operations and better serve citizens through cutting-edge technology. If you&rsquo;re ready to shape the future of AI in the public sector and be a founding member of our team, we&rsquo;d love to hear from you.
 
 
 You will:
 
 
 <ul>
 <li>
 Partner with public sector clients to scope, collect feedback and implement solutions for complex problems, including spending up to two weeks per month in client offices for feedback and delivery.
 </li>
 <li>
 Architect production-grade applications that integrate AI models with full-stack frameworks, managing everything from interactive UIs to backend APIs and systems.
 </li>
 <li>
 Deploy and manage infrastructure within cloud environments, ensuring the highest levels of system integrity, security, scalability, and long-term reliability.
 </li>
 <li>
 Contribute to core platform features designed to be reused across diverse international client use cases.
 </li>
 <li>
 Partner with design, product, and data teams to build robust applications aligned with the broader technical architecture.
 
 
 </li>
 </ul>
 Ideally you&rsquo;d have:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or a related quantitative field
 </li>
 <li>
 5+ years of post-graduation, full-stack engineering experience with demonstrated proficiency in React (required), TypeScript, Next.js, Python, Node.js, PostgreSQL or MongoDB plus hands-on experience with Docker, Kubernetes, and Azure/AWS/GCP.
 </li>
 <li>
 Proven ability to architect scalable, production-grade applications with a strong handle on cloud environments and infrastructure health.
 </li>
 <li>
 Experience working directly within customer infrastructure to deploy, maintain, and troubleshoot complex, end-to-end solutions.
 </li>
 <li>
 A self-starting approach with the technical maturity to navigate ambiguous requirements and deliver reliable software.
 </li>
 <li>
 Driven async communication methodologies to reduce communication frictions
 
 
 </li>
 </ul>
 Nice to haves:
 
 
 <ul>
 <li>
 Proficient in Arabic
 </li>
 <li>
 Past experience working in a forward deployed engineer / dedicated customer engineer role
 </li>
 <li>
 Experience working cross functionally with operations
 </li>
 <li>
 Experience building solutions with LLMs and a deep understanding of the overall Gen AI landscape
 
 
 </li>
 </ul>
 
 
 PLEASE NOTE:
 
 
 
 Our policy requires a 90-day waiting period before reconsidering candidates for the same role. This allows us to ensure a fair and thorough evaluation of all applicants.
 
 
 
 
 About Us:
 
 
 
 
 At Scale, our mission is to develop reliable AI systems for the world's most important decisions. Our products provide the high-quality data and full-stack technologies that power the world's leading models, and help enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Cisco, DLA Piper, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. We are expanding our team to accelerate the development of AI applications.
 
 
 
 
 We believe that everyone should be able to bring their whole selves to work, which is why we are proud to be an inclusive and equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability status, gender identity or Veteran status.
 
 
 
 
 We are committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at accommodations@scale.com. Please see the United States Department of Labor's
 
 
 Know Your Rights poster
 
 
 for additional information.
 
 
 
 
 We comply with the United States Department of Labor's
 
 
 Pay Transparency provision
 
 
 .
 
 
 
 
 
 PLEASE NOTE:
 
 We collect, retain and use personal data for our professional business purposes, including notifying you of job opportunities that may be of interest and sharing with our affiliates. We limit the personal data we collect to that which we believe is appropriate and necessary to manage applicants&rsquo; needs, provide our services, and comply with applicable laws. Any information we collect in connection with your application will be treated in accordance with our internal policies and programs designed to protect personal data. Please see our privacy policy for additional information.
 
</div>

Senior Full-Stack Software Engineer, (Forward Deployed), GPS

oryxsearch.io

<div>
 
 
 Forward Deployed Engineer - High Profile AI Scale-Up
 
 
 
 
 
 
 
 About the Company
 
 
 
 
 
 
 We are working with a high profile, AI Scale-Up focused on building advanced AI-driven software for enterprise environments. The approach centres on developing highly customised solutions that integrate deeply with client data, workflows, and operational processes.
 
 
 Rather than offering off-the-shelf products, the team delivers tailored systems designed to drive measurable improvements in efficiency, decision-making, and overall performance. The work sits at the intersection of software engineering, data, and real-world business impact.
 
 
 
 
 
 
 The Role - Forward Deployed Engineer
 
 
 
 
 
 
 This is a high-impact, customer-facing engineering role focused on solving complex business challenges through AI-powered software. You will work directly with stakeholders to understand problems, design solutions, and deploy production-grade applications. The role involves full ownership across the lifecycle from initial discovery and scoping to implementation and continuous iteration. This position goes beyond traditional engineering. You will play a key role in shaping how organizations operate by embedding technology into core workflows and decision-making processes.
 
 
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 
 <ul>
 <li>
 Partner closely with customers to identify and define high-priority business problems
 </li>
 <li>
 Design and build custom applications leveraging enterprise data (structured and unstructured)
 </li>
 <li>
 Develop and deploy workflows that are actively used by operational teams and leadership
 </li>
 <li>
 Iterate quickly, delivering solutions that drive measurable outcomes
 </li>
 <li>
 Take end-to-end ownership of projects, from concept through to production and optimization
 </li>
 <li>
 Collaborate across technical and non-technical teams to ensure successful delivery
 </li>
 <li>
 Operate in a flexible, language-agnostic environment where technology choices are driven by problem requirements rather than fixed stacks
 </li>
 </ul>
 
 
 
 
 
 What We&rsquo;re Looking For
 
 
 
 
 
 <ul>
 <li>
 Customer Obsession with a drive to solve real-world problems and deliver tangible impact
 </li>
 <li>
 Excellent analytical and problem-solving skills, with the ability to break down complex challenges
 </li>
 <li>
 Proficiency in Python and/or TypeScript
 </li>
 <li>
 Experience building and deploying applications using large datasets
 </li>
 <li>
 Demonstrated ability to deliver meaningful business outcomes through software or data solutions
 </li>
 <li>
 High level of ownership and ability to work autonomously
 </li>
 <li>
 Strong communication and collaboration skills across diverse stakeholders
 </li>
 <li>
 Willingness to travel for client engagements
 </li>
 <li>
 Comfortable working in a hybrid, in-person environment across global teams
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 
 
 
 <ul>
 <li>
 Degree in Computer Science or a related discipline from a Tier 1 academic group
 </li>
 <li>
 Experience with production machine learning or LLM-based systems
 </li>
 <li>
 Exposure to enterprise data platforms or similar tools
 </li>
 <li>
 Frontend development experience (e.g., React)
 </li>
 <li>
 Familiarity with distributed computing frameworks (e.g., Spark)
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s on Offer
 
 
 
 
 
 <ul>
 <li>
 Competitive compensation package, including equity
 </li>
 <li>
 Comprehensive benefits
 </li>
 <li>
 Hybrid working model
 </li>
 <li>
 Opportunity to build products and systems from the ground up (0&rarr;1)
 </li>
 <li>
 High ownership within a small, high-performing team
 </li>
 <li>
 Exposure to complex, high-value enterprise challenges
 </li>
 </ul>
 
 
</div>

Forward Deployed Engineer - High Profile AI Scale-Up

Dell Technologies

<div>Our field sales professionals rely on proactive technical support during the sales process &ndash; and our expert Systems Engineering team always steps up to the mark. We lead the development and implementation of complex and specialized products, applications, services and solutions. From delivering sales presentations and product demonstrations, to developing detailed installation or system integration plans, we ensure customers get the innovative, relevant, interoperable solutions they need.
Join us to do the best work of your career and make a profound social impact as a Senior Systems Engineer on our Systems Engineering Team in Dubai, United Arab Emirates.<div> 
What you&rsquo;ll achieve 
As a Senior Systems Engineer, you will provide pre-sales technical support to our field sales teams, helping to define the overall Dell Technologies solution for our customers using the full range of company products and services. 
 
You will: 
<ul><li>Build and lead relationships for highly sophisticated customer accounts</li><li>Conduct customer needs analysis and anticipate requirements beyond existing solution&rsquo;s scope</li><li>Prepare detailed product specifications to enable the sale of our products and solutions, and deliver impact presentations at customer facilities</li><li>Verify operability of sophisticated product and service configurations within the customer&rsquo;s environment</li><li>Perform advanced systems integration and provide technical expertise to design and implement the solution</li></ul> 

Take the first step towards your dream career 
Every Dell Technologies team member brings something unique to the table. Here&rsquo;s what we are looking for with this role:</div> 
Technical Skills<ul><li>Hands-on experience with at least one major cloud data platform (e.g., Snowflake, Databricks, BigQuery, Redshift, Cloudera, Synapse, or similar).</li><li>Strong understanding of data warehousing, data lakes/lakehouse, and ETL/ELT concepts (staging, modeling, performance tuning, cost/perf tradeoffs).</li><li>Data engineering and integration including unstructured data processing (PDFs, logs, images, text) and transformation into structured/vectorized formats</li><li>Strong SQL skills for analytical queries, performance tuning, and data modeling (star/snowflake schemas, dimensional modeling, partitioning, clustering).</li><li>Unstructured data &amp; AI/RAG: Understanding of vector databases (e.g., Elasticsearch, Milvus, pgvector), embedding models, and RAG architectures. Familiarity with document processing pipelines, chunking strategies, and semantic search patterns.</li><li>Familiarity with data pipeline and orchestration tools (e.g., Airflow, dbt, Spark, Kafka, cloud-native ETL tools) and batch vs. streaming patterns.</li><li>Understanding of data governance (catalog, lineage, security, RBAC, masking, compliance requirements like GDPR/CCPA).</li><li>Analytics, BI, and data science</li><li>Ability to design and explain analytics solutions end-to-end: from raw data to dashboards and predictive models.</li><li>Working knowledge of BI tools (e.g., Tableau, Power BI, Looker, Qlik) and how to connect, model, and optimize for self-service analytics.</li><li>Familiarity with data science and ML workflows (feature engineering, experimentation, model training/deployment, RAG pipeline development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a conceptual level).</li></ul>
Consulting Skills<ul><li>Skilled at asking the right questions to uncover technical requirements, constraints, and business drivers.</li><li>Can translate ambiguous business problems into clear data and analytics use cases.</li><li>Storytelling &amp; communication</li><li>Excellent at translating complex technical topics into clear, business-oriented narratives for both technical and non-technical audiences.</li><li>Comfortable presenting to large groups and senior stakeholders (CIO/CDO, Heads of Data/Analytics).</li><li>Demo &amp; POC excellence</li><li>Able to build and deliver compelling demonstrations that tell a story around customer data and use cases, not just features.</li><li>Can structure and run POCs with clear success criteria, timelines, and executive readouts to accelerate technical win.</li><li>Competitive positioning</li><li>Understands the broader data &amp; AI ecosystem and can articulate differentiation versus other data warehouses, data lake/lakehouse platforms, and analytics tools.</li></ul>
5+ years in a customer-facing technical role such as Sales Engineer, Solutions Architect, Data Engineer, Analytics Consultant, or Data Scientist with strong commercial exposure.
Proven experience architecting and delivering data management, analytics, or data science solutions in one or more of the following areas:<ul><li>Cloud data warehouse or lakehouse migrations</li><li>Enterprise BI modernization/self-service analytics</li><li>GenAI and RAG implementations for enterprise knowledge management, intelligent document processing, or customer-facing AI applications</li><li>Real-time or streaming analytics</li><li>Advanced analytics / data science enablement</li><li>Hands-on experience with at least one major public cloud (AWS, Azure, or GCP) and one or more leading data platforms (e.g., Snowflake, Databricks, Cloudera, BigQuery, Redshift, Synapse).</li></ul> 
Who we are<div>
We believe that each of us has the power to make an impact. That&rsquo;s why we put our team members at the center of everything we do. If you&rsquo;re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we&rsquo;re looking for you. 
 
Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. 
 
Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here<div>
(opens in new window)</div>
.</div>
Job ID:R288077</div>

Senior Systems Engineer, UDS Data Management - Dubai

Marcura

<div>
 
 The Managed Port Calls team requires a
 
 Staff AI Engineer to drive AI innovation across our Marcura platform.
 
 This role exists to architect and deliver AI-powered features that enhance operational efficiency, predictive capabilities, and decision-making for stakeholders.
 
 
 The role is
 
 hands-on execution&mdash;building production-grade AI systems, mentoring engineers on AI/ML
 
 best practices, and selecting appropriate technologies and frameworks. Working closely with product, backend, and data teams, you'll embed intelligence throughout the platform while ensuring our AI solutions are scalable, reliable, and deliver measurable business value.
 
 
 Sample use cases that the role will require to build and manage:
 
 <ul>
 <li>
 Convert manual processes to fully automated processes
 </li>
 <li>
 Partially automate processes when full automation is not achievable
 </li>
 <li>
 Help improve efficiency for both operations team and customers
 </li>
 <li>
 Reduce the amount of manual (especially repetitive) work mainly for operations team
 </li>
 <li>
 Predict answers to questions based on an existing historical knowledge base
 </li>
 <li>
 Predict costs based on historical knowledge
 </li>
 <li>
 Chat bot style task automation
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's Degree in Information Technology, Data Science, Machine Learning/AI, Computer Science or other relevant fields
 </li>
 </ul>
 <ul>
 <li>
 Minimum of
 
 8 years of experience in relevant fields including data science and AI
 
 
 </li>
 </ul>
 
 
 Machine Learning &amp; AI:
 
 
 <li>
 Experience with
 
 LLMs and building AI agents using frameworks like LangChain, LangGraph, and LangSmith
 
 </li>
 <li>
 Hands-on experience with prompt engineering, RAG (Retrieval-Augmented Generation), and LLM orchestration
 </li>
 <li>
 Knowledge of AI agent design patterns: reasoning, planning, tool use, and memory management
 </li>
 <li>
 Proven experience designing, training, and deploying ML models in production environments
 </li>
 <li>
 Understanding of ML fundamentals and MLOps practices: model versioning, monitoring, CI/CD pipelines
 </li>
 <li>
 Proficiency in machine learning algorithms and frameworks (e.g., TensorFlow, PyTorch).
 </li>
 
 
 Programming:
 
 
 <li>
 Strong
 
 coding skills in languages such as Python,
 
 </li>
 <li>
 Good to have programming experience in Java,
 </li>
 <li>
 Familiarity with data manipulation and analysis libraries (e.g., Pandas, NumPy).
 </li>
 
 
 Cloud Computing:
 
 
 <li>
 Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) for deploying AI models. [Azure is the preference]
 </li>
 
 
 Software Development:
 
 
 <li>
 Understanding of software development life cycle (SDLC) and agile methodologies.
 </li>
 <li>
 Experience with version control systems (e.g., Git).
 </li>
 
 
 Data Analysis:
 
 
 <li>
 Ability to analyze and interpret complex datasets.
 </li>
 
 
 Problem-Solving:
 
 
 <li>
 Strong analytical thinking to identify and solve operational inefficiencies.
 </li>
 <li>
 Ability to design and implement AI-driven solutions.
 </li>
 
 
 Communication:
 
 
 <li>
 Ability to explain complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Strong written and verbal communication skills.
 </li>
 
 
 Collaboration:
 
 
 <li>
 Experience working in cross-functional teams.
 </li>
 <li>
 Ability to collaborate with other developers, data scientists, and business analysts.
 
 
 </li>
 
 Benefits
 
 
 
 <ul>
 <li>
 
 Competitive Salary and Bonus
 
 : We reward your expertise and contributions.
 </li>
 <li>
 
 Inclusive Onboarding Experience
 
 : Our onboarding program is designed to set you up for success right from day one.
 </li>
 <li>
 
 Marcura Wellness Zone
 
 : We value your work-life balance and well-being.
 </li>
 <li>
 
 Global Opportunities
 
 : Be part of an ambitious, expanding company with a local touch.
 </li>
 <li>
 
 Diverse, Supportive Work Culture
 
 : We're committed to inclusion, diversity, and a sense of belonging for all team members.
 </li>
 </ul>
</div>

Generative AI Solutions Engineer

Explore 1656+ Ai data engineer in Dubai this April. Find roles across top companies and apply now to boost your career.