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viewsoft

<div><div><div>Location: Abu Dhabi, United Arab Emirates</div></div><div><div>
Clearance Required: Top Secret (active)</div></div></div>
 <div><div>We are seeking a highly skilled and experienced Senior Data Scientist to join our team in Abu Dhabi, UAE. In this role, you will lead data-driven initiatives to provide actionable insights and support mission-critical operations. Working in a dynamic, fast-paced environment, you will apply advanced analytics, machine learning, and AI techniques to solve complex challenges within the defense and security sectors.
Key Responsibilities:<ul><li>
Lead the design, development, and implementation of advanced data models, algorithms, and machine learning solutions to support strategic objectives.</li><li>
Analyze large datasets to identify trends, patterns, and insights to drive decision-making. 
Collaborate with cross-functional teams, including engineers, analysts, and stakeholders, to define and solve high-priority problems.</li><li>
Develop and optimize predictive models, natural language processing (NLP) algorithms, and other machine learning frameworks.</li><li>
Perform data wrangling, cleaning, and preprocessing to ensure the highest quality data for analysis.</li><li>
Communicate complex technical findings to non-technical stakeholders, providing clear, actionable insights.</li><li>
Maintain and develop best practices for data science workflows and tools.</li><li>
Mentor junior data scientists and provide leadership on advanced analytics techniques.</li></ul> 
Qualifications:
Required:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Mathematics, Data Science, or a related field (Master&rsquo;s or PhD preferred).</li><li>
8+ years of experience in data science, machine learning, or a related field.</li><li>
Strong expertise in statistical modeling, data mining, and machine learning algorithms.</li><li>
Proficiency in programming languages such as Python, R, and SQL.</li><li>
Experience with machine learning frameworks and libraries (e.g., TensorFlow, Keras, PyTorch, Scikit-learn).</li><li>
Expertise in big data technologies and platforms (e.g., Hadoop, Spark, AWS, Azure).</li><li>
Experience working with complex datasets, including unstructured data (text, images, etc.).</li><li>
Excellent problem-solving and analytical skills. 
Strong verbal and written communication skills, with the ability to present complex findings to senior leadership.</li><li>
Active Top Secret security clearance required</li></ul> 
Preferred:<ul><li>
Experience with defense, intelligence, or security-related projects.</li><li>
Familiarity with cloud-based platforms and distributed computing environments.</li><li>
Advanced certifications or training in machine learning, AI, or data science.</li><li>
Experience working in an Agile environment or leading teams in collaborative settings.</li></ul></div></div>

Senior Data Scientist

Moreton Capital Partners

<div><h3 class="jobSectionHeader">Quant Developer &ndash; Systematic Commodities Hedge Fund</h3>
Moreton Capital Partners is seeking a talented Quant Developer to join our team at the ground floor of an ambitious build. We are launching live trading across global commodity futures, supported by an investment process rooted in machine learning. 
 
This is a unique opportunity to work directly with the global team, owning infrastructure that takes research ideas to production in a fast-moving, real capital environment.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Build and maintain data pipelines ingesting futures, options, and alternative datasets (from price data from Bloomberg and vendor feeds to unstructured data).</li>
<li>Improve backtesting framework (event-driven simulations, realistic slippage/costs, walk-forward validation, portfolio performance analysis).</li>
<li>Support research tooling: feature libraries, experiment tracking, artefact storage.</li>
<li>Machine learning cloud and local execution and optimization setup.</li>
<li>Productionize signals into the live trading stack with CI/CD, monitoring, and version control.</li>
<li>Develop dashboards and alerting for data quality, latency, and model drift.</li>
<li>Collaborate with researchers to translate hypotheses into robust, testable experiments, as well as enhance proposed process computationally.</li>
</ul>
Requirements<ul><li>
Fluency in Python and SQL; clean, testable code is a must.</li></ul><ul>
<li>Experience with data engineering (Airflow, Snowflake, pandas, polars workflows).</li>
<li>Prior exposure to systematic trading, backtesting, or market data pipelines.</li>
<li>Familiarity with cloud environments (AWS), containers (Docker), and CI/CD.</li>
<li>Self-starter with the ability to work autonomously in a lean, high-ownership environment.</li>
<li>Bachelors in CS/Comp-Eng or computationally heavy subject matter, and ideally, a minor in Finance.</li>
</ul>Bonus points for:<ul>
<li>Commodities or macro markets exposure.</li>
<li>Systematic medium term investment exposure.</li>
<li>Experience with ML Ops tools (MLflow, Weights &amp; Biases), feature stores, or model monitoring.</li>
<li>Front-end skills (TypeScript/React) to help build researcher dashboards.</li>
</ul>Benefits<ul>
<li>
Impact from day one: You&rsquo;ll be building mission-critical infrastructure for a fund that begins live trading this year for large institutional investors.</li>
<li>Direct exposure: Work alongside the CIO and senior researchers, with a direct line to decision-making.</li>
<li>Learning curve: Deep exposure to commodity markets, ML research workflows, and institutional-grade trading systems.</li>
<li>Growth trajectory: Clear path to increased scope and compensation as the fund scales with institutional AUM.</li>
<li>Attractive compensation: Highly competitive base salary and annual bonus that scales as the business grows.</li>
<li>Positive, inclusive and encouraging work environment.</li></ul></div>

Quant Developer - Systematic Commodities Hedge Fund

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The Artificial Intelligence (AI) Engineer is a specialist role focused on the engineering, deployment, and scaling of advanced AI systems to drive the Bank&rsquo;s digital and operational transformation. This position is responsible for building the robust technical foundations required for enterprise-grade applications, including Conversational AI agents, operations automation, and Generative AI initiatives. By developing high-performance pipelines and reusable components, you will ensure that AI products are reliable, compliant, and capable of delivering next-generation experiences for both customers and employees.
As the AI Engineer with Deeplight, your responsibilities will include:<ul>
<li>
Building and scaling next-generation Conversational AI platforms (voice and chat) using LLM-based agents and multi-agent orchestration frameworks.</li>
<li>Developing automation agents for critical banking functions such as KYC, compliance, risk monitoring, and customer service.</li>
<li>Implementing Retrieval-Augmented Generation (RAG) pipelines utilizing vector databases and knowledge graphs to power enterprise search.</li>
<li>Model Optimization: Design and refine prompts to optimize LLM performance and apply advanced parameter-efficient fine-tuning techniques.</li>
<li>Operationalizing embedding models and custom ML solutions by building APIs, SDKs, and CI/CD pipelines with automated retraining and drift management.</li>
<li>Establishing engineering standards for model fairness, security, explainability, and disaster recovery to ensure operational resilience.</li>
<li>Acting as an analytics translator, identifying opportunities for leveraging data to solve complex business problems across functional teams.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
What we need from you:<ul><li><ul>
<li>
Bachelor&rsquo;s degree in a quantitative field (Computer Science, AI, Software Engineering, or Mathematics); a Master&rsquo;s degree in AI/ML is highly preferred.</li>
<li>5+ years in AI/ML engineering or large-scale digital product engineering, ideally within a major digital transformation or digital-only bank project.</li>
<li>Proven experience deploying large-scale AI/ML solutions within a regulated environment (Banking or Financial Services preferred).</li>
<li>Hands-on experience with MLOps tools (MLflow, CI/CD) and data visualization platforms (Tableau, Power BI)</li>
<li>Expert-level programming in Python specifically for ML/AI engineering and Generative AI applications.</li>
<li>Deep knowledge of transformer models, multimodal architectures, and agentic AI systems (multi-agent frameworks/human-in-the-loop).</li>
<li>Expertise in vector databases (Pinecone, Weaviate, Milvus), knowledge graphs, and both SQL/NoSQL systems (Postgres, MongoDB).</li>
<li>Proficiency in Azure AI Foundry or AWS SageMaker, including serverless deployments (Lambda/Azure Functions) and containerization (Docker, Kubernetes).</li>
<li>Deep understanding of LLM evaluation metrics and observability frameworks for monitoring agentic workflows.</li></ul></li></ul> 
It would also be beneficial if you have experience of the following:<ul>
<li>
Ability to quickly build and test AI prototypes while maintaining a focus on enterprise-grade security and compliance.</li>
<li>Active engagement in the AI community with a track record of evaluating emerging tools like LangChain, CrewAI, and Bedrock.</li>
<li>Exceptional communication skills to bridge the gap between technical requirements and business objectives for non-technical stakeholders.</li>
<li>Deep understanding of emerging trends such as Reinforcement Learning from Human Feedback (RLHF) and multimodal AI.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul>
<li>
Competitive salary.</li>
<li>Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Career advancement opportunities in a rapidly growing AI company.</li>
</ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AI Engineer

ICEYE

<div>Role highlights: 
<ul>
<li>
Role: Forward Deployed AI Engineer</li>
<li>Department: Forward Deployed Engineering</li>
<li>Location: Finland, Sweden, Netherlands, Poland, UAE, Germany (Must be based in-country)</li>
<li>Reports to: VP, Forward Deployed Engineering</li>
<li>Working type: Hybrid (On-site at customer locations 30-50% of time)</li>
<li>Must be eligible and able to attain relevant national and NATO security clearances at the highest level.</li>
</ul>
The Mission of the Forward Deployed AI Engineer
In this role, you'll be the hands-on AI builder defense and intelligence customers rely on. You&rsquo;ll deploy ICEYE&rsquo;s intelligence platform into secure (often air-gapped) environments and rapidly ship AI-powered workflows on top of it&mdash;everything from Docker-based deployments to RAG systems fusing SAR imagery with intelligence reports. This is a ship-code-daily role: turning raw satellite data into mission-critical tools analysts use to protect nations.
Who are we?
ICEYE delivers space-based intelligence, surveillance, and reconnaissance (ISR) capabilities to governments and allied nations. This includes sovereign and turnkey ISR missions leveraging ICEYE's world-leading synthetic aperture radar (SAR) satellite technology, as well as access to data from the world's largest SAR satellite constellation. These capabilities enable partners to detect and respond to critical changes anywhere on Earth with unprecedented speed and accuracy &ndash; day or night and in any weather, supported by ultra high-resolution imagery and high-frequency revisits.
As a trusted partner for defense, intelligence, security, and maritime domain awareness, ICEYE's near real-time data creates a tactical advantage for mission-critical operations. ICEYE operates internationally with offices in Finland, Poland, Spain, Japan, the UAE, Greece, Germany, and the US. The company has more than 900 employees, inspired by the shared vision of improving life on Earth by becoming the global source of truth in Earth Observation
Day to day responsibilities:
Platform Deployment &amp; Integration<ul>
<li>
Deploy ICEYE's intelligence platform into customer secure environments (on-premise, air-gapped networks, classified data centers).</li>
<li>Build and maintain containerized applications (Docker) and manage deployments in customer Kubernetes clusters.</li>
<li>Develop APIs and data pipelines connecting ICEYE systems to customer C4ISR infrastructure and intelligence tools.</li>
Troubleshoot deployment issues in disconnected environments without external internet access. 
<li>
</li>
</ul>AI Solution Development &amp; Customization<ul>
<li>
Build Retrieval-Augmented Generation (RAG) systems that combine ICEYE SAR data with customer intelligence documents for context-aware analysis.</li>
<li>Develop AI agents and workflows using frameworks like LangChain, LangGraph, or similar tools to automate analytical tasks.</li>
<li>Implement prompt engineering strategies and conversational AI interfaces that enable analysts to query satellite data using natural language.</li>
<li>Create Model Context Protocol (MCP) integrations connecting AI systems with customer data sources.</li>
</ul>
Data Fusion &amp; Intelligence Workflows<ul>
<li>
Build data fusion pipelines combining SAR imagery with additional intelligence sources (AIS, RF signals, optical imagery, SIGINT).</li>
<li>Develop automated workflows that correlate and cross-reference information across different data modalities.</li>
<li>Create lightweight tools, dashboards, and alerting systems tailored to customer operational needs.</li>
</ul>
Customer Engagement &amp; Rapid Prototyping<ul>
<li>
Work embedded with intelligence analysts, data scientists, and military operators to understand mission-critical problems.</li>
<li>Rapidly prototype AI-powered solutions (code first, polish later) that address immediate operational requirements.</li>
<li>Conduct hands-on training sessions on platform capabilities and AI workflow usage.</li>
<li>Gather customer feedback and translate it into technical requirements for ICEYE's product and engineering teams.</li>
</ul>
Requirements
Must have skills:<ul>
<li>
3+ years hands-on software engineering building and deploying production systems.
</li><li>Strong Python programming skills (required) plus one of: Go, TypeScript, or Rust.
</li><li>Hands-on experience with LLMs, prompt engineering, and RAG systems.
</li><li>Working knowledge of agent frameworks (LangChain, LangGraph, pydantic-ai) and vector databases.
</li><li>Experience with Docker and deploying in secure / isolated / air-gapped environments.
</li><li>Practical experience with APIs, data pipelines, and integrating systems in production,</li>
<li>Familiarity with Linux and basic Kubernetes operations.
</li><li>Builder mindset: ship fast, iterate with feedback, and prioritize working solutions over perfect architecture.</li>
<li>Strong communication + customer engagement, able to work embedded with intelligence analysts / military operators.
</li><li>Strong spoken and written English, able to explain technical concepts to non-technical stakeholders.
</li>Willingness to travel 40&ndash;60% to customer sites within the region. 
<li>
 
</li></ul>Nice to have skills:<ul>
<li>
Experience in defense, intelligence, or government operational environments.
</li><li>Deploying to on-prem data centers and/or air-gapped networks.
</li><li>Familiarity with geospatial data, satellite imagery, or remote sensing.
</li><li>Experience with MCP integrations, multi-agent systems, or agentic workflows.
</li><li>Deeper Kubernetes, IaC (Terraform/Ansible), and/or offline CI/CD.
</li><li>Understanding of intelligence analysis workflows and defense/government requirements.
</li><li>Experience with data fusion, multi-source intelligence integration, or GIS tools (ArcGIS, QGIS).
</li><li>Background in solution engineering, technical consulting, or customer success.
</li><li>Experience in defense tech (e.g., Palantir, Anduril, Scale AI, similar startups).</li>
</ul>
Application process<ul>
<li>
Talent Acquisition Interview</li>
<li>Hiring Manager Interview</li>
<li>Technical Interview (onsite or virtual), including a Technical Challenge</li>
<li>Hiring Team Interview</li>
<li>Offer Decision</li>
</ul>
Benefits
How We Work (Our Values)
Make the impossible possible: We set ambitious goals and stay calm under pressure. We bring grit, optimism, and ownership when things get hard, and we keep moving until we find a way.<ul>
<li>
Be curious: Go deep, ask questions, listen carefully, and think critically. Understand the &ldquo;why&rdquo; behind decisions.</li>
<li>See the big picture: Stay close to what&rsquo;s happening across the company so you can make better decisions. Consider how your work affects others.</li>
<li>Drive effective teamwork: Create psychological safety, invite different perspectives, and build inclusive teams. There are no bad questions.</li>
<li>Act as one team: We win together. We match tasks to the right owner and stay agile as priorities shift.</li>
<li>Have fun: What we do matters&mdash;and it should be enjoyable. Celebrate progress, take pride in results, and share the wins. 
</li>
</ul>Benefits:
Our benefits are designed to support your health and wellbeing&mdash;at work and beyond. We keep improving them based on employee feedback, and offerings vary by location. Talent Acquisition will confirm what applies for this role and location during the process.
Our commitment to Diversity, Equity and Inclusion
We want ICEYE to be a place where people can be themselves and do great work. Different backgrounds and perspectives make us stronger, which is why we work to create an environment where people feel included, respected, and able to speak up. Whatever your background, we want you to bring your authentic self to the table.
We&rsquo;re committed to fair, inclusive hiring and equal opportunity. Everyone is welcome to apply. If you need any adjustments or support during the recruitment process, tell us&mdash;we&rsquo;ll do our best to help.
Apply now to start your ICEYE journey, and help us continue to make the impossible possible together. Read more about ICEYE and working with us at iceye.com</div>

Forward Deployed AI Engineer

New York University Abu Dhabi

<div>
 The Prof. Sunil Kumar&rsquo;s Research Group in the Division of Engineering, New York University Abu Dhabi, seeks to recruit a junior research scientist to develop AI-enabled healthcare applications.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Develop and fine-tune computer-vision models, instance segmentation, and retrieval-based estimation from images and text metadata.
 </li>
 <li>
 Build and evaluate monocular depth pipelines and implement multimodal retrieval with re-rankers for robust profile selection.
 </li>
 <li>
 Design and train advanced AI models for digital twin: 3D model learning, prediction models from imaging and molecular data, model-based simulation coupling, and uncertainty-aware outputs for lab/clinical validation.
 </li>
 <li>
 Work with 3D datasets, time-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes.
 </li>
 <li>
 Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training.
 </li>
 <li>
 Plan, run and analyze pilot studies (SME pilots and lab validation); participate in data collection, annotation and lab assay coordination.
 </li>
 <li>
 Write up results and contribute to publications, technical reports and presentations for academic and non-academic stakeholders.
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in computer science, electrical/computer engineering, applied mathematics, computational biology, bioengineering, or a closely related discipline.
 </li>
 <li>
 Solid experience training and evaluating AI models.
 </li>
 <li>
 Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
 </li>
 <li>
 Experience with dataset curation, annotation workflows, FAISS/embedding retrieval, LLM-based parsing, RAG-style pipeline, and GPU/HPC training.
 </li>
 <li>
 Familiarity with 3D data processing or willingness to learn quickly.
 </li>
 <li>
 Publications, thesis work, or demonstrable projects in computer vision, multi-modal ML, digital twins or biomedical ML.
 </li>
 <li>
 Familiarity with uncertainty quantification and model explainability methods.
 </li>
 <li>
 Strong software engineering practices: Git, reproducible experiments, modular code, deploying models in cloud (AWS/GCP) and containerized services (Docker, Kubernetes).
 </li>
 <li>
 Good written and verbal communication skills and ability to work collaboratively across interdisciplinary teams.
 
 
 </li>
 </ul>
 For consideration, applicants need to submit a cover letter, curriculum vitae with full publication list statement of research interests, transcript and three letters of reference, all in PDF format. If you have any questions, please email Prof. Prabodh Panindre at prabodh@nyu.edu.
 
 
 The terms of employment are very competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the position is filled. Please visit our website at https://nyuad.nyu.edu/en/about/careers/postdoctoral-and-research.html for instructions and information on how to apply.
 
 
 
 About NYU Abu Dhabi
 
 
 
 https://nyuad.nyu.edu/en/
 
 
 NYU Abu Dhabi is the first comprehensive liberal arts and research campus in the Middle East to be operated abroad by a major American research university. Times Higher Education ranks NYU among the top 30 universities in the world, making NYU Abu Dhabi the highest-ranked university in the UAE and MENA region. NYU Abu Dhabi has integrated a highly selective undergraduate curriculum across the disciplines with a world center for advanced research and scholarship. The university enables its students in the sciences, engineering, social sciences, humanities, and arts to succeed in an increasingly interdependent world and advance cooperation and progress on humanity&rsquo;s shared challenges. NYU Abu Dhabi&rsquo;s high-achieving students have come from over 120 countries and speak over 100 languages. Together, NYU's campuses in New York, Abu Dhabi, and Shanghai form the backbone of a unique global university, giving faculty and students opportunities to experience varied learning environments and immersion in other cultures at one or more of the numerous study-abroad sites NYU maintains on six continents.
 
 
 NYUAD is committed to upholding a culture of non-discrimination, anti-harassment, dignity, and mutual respect; providing equal access and opportunity; and fostering academic excellence in learning, research, and teaching.
 
 
 UAE Nationals are encouraged to apply.
 
 
 
 Equal Employment Opportunity Statement
 
 
 
 
 For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr
 
 
 
 NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. All interested persons are encouraged to apply for vacant positions at all levels.
 
 
 
 Sustainability Statement
 
 
 
 NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability
</div>

Junior Research Scientist in the Division of Engineering - Drs. Sunil Kumar and Prabodh Panindre

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
The ML Ops and DevOps Engineer is a specialised technical role focused on bridging the gap between AI development and production-grade operations. You will design, deploy, and manage scalable AI solutions primarily across AWS and Azure environments, integrating Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps). By leveraging containerization, automated CI/CD pipelines, and robust data engineering, you will ensure that the Bank&rsquo;s AI-driven applications&mdash;including Generative AI and LLM agents&mdash;are secure, efficient, compliant, and highly available.
Your responsibilities as the MLOps and DevOps Engineer include:<ul>
<li>
Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via Terraform.</li>
<li>Create and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub Actions.</li>
<li>Deploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML Endpoints.</li>
<li>Implement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearch.</li>
<li>Integrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflows.</li>
<li>Design robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache Spark.</li>
<li>Enforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standards.</li>
<li>Supervise team activities and contribute to change initiatives in line with the Bank&rsquo;s continuous improvement standards.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people. 
 
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight. 
 
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills. 
 
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders. 
 
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Requirements
What we need from you:<ul>
<li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative field.</li>
<li>A minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworks.</li>
<li>Proficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure Purview.</li>
<li>Deep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystems.</li>
<li>Mastery of Terraform for multi-cloud resource automation.</li>
<li>Proven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoring.</li>
<li>Expertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS).</li>
<li>Strong understanding of secure networking (WAF, NSGs) and secret management.</li>
</ul>
It would be beneficial if you also have: 
<ul>
<li>
Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferred.</li>
<li>Ability to seamlessly manage workloads that span across both AWS and Azure.</li>
<li>Skill in communicating complex technical infrastructure requirements to non-technical business stakeholders.</li>
<li>Adaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflows.</li>
<li>Proactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocity.</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul>
<li>
Competitive salary.</li>
<li>Visa Sponsorship for the successful individual.
</li><li>Comprehensive health insurance for the successful individual.
</li><li>Professional development and certification support.</li>
<li>Opportunity to work on cutting-edge AI projects.</li>
<li>Career advancement opportunities in a rapidly growing AI company.</li>
</ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

ML Ops and DevOps Engineer

Gear Up Technology

*Hiring: AI Python Developer*We are looking for an *AI Python Developer* to work on AI-powered applications and integrations.*What You&rsquo;ll Do** Build AI features using *Python** Work with *LLMs, RAG, embeddings, and vector databases** Develop and integrate *FAST APIs** Connect AI systems with *Flutter mobile apps** Optimize AI responses, performance, and cost* Work with cloud services and databases*What We&rsquo;re Looking For** Strong experience in *Python** Hands-on with *AI/LLMs* and AI APIs* Experience with *RAG, embeddings, semantic search** API development experience* Basic understanding of *Flutter integration** Good problem-solving skills* Confidence*Nice to Have** Voice AI, speech-to-text / text-to-speech* Flutter ExperienceFull-time / ContractJob Type: Full-time

Python Developer

Explore 507+ Machine learning engineer in Abu Dhabi this February. Find roles across top companies and apply now to boost your career.