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ai engineer

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

<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 Backend Engineer is a pivotal role within the Technology Services group, designed to drive digital transformation and innovation in banking. You will be responsible for developing scalable, AI-powered applications and Generative AI (GenAI) solutions that enhance core banking processes and customer digital journeys. By integrating advanced analytics, conversational AI, and cloud-native architectures, you will build secure, modular systems that bridge the gap between complex data requirements and strategic business outcomes. This role requires a blend of technical mastery in modern frameworks and a deep understanding of banking operations to deliver high-impact enterprise platforms.
As the Backend Engineer, your responsibilities will include:<ul>
<li>
Application Development: Design, build, and deploy full-stack, AI-powered web applications using microservices and RESTful APIs.</li>
<li>GenAI Integration: Implement Generative AI engineering principles, including Retrieval-Augmented Generation (RAG) and agentic workflows, into enterprise-grade digital platforms.</li>
<li>Architecture &amp; Design: Create modular, scalable architectures and establish documentation standards and reusable templates for AI projects.</li>
<li>Data Engineering: Design and implement robust data pipelines, pre-processing workflows, and governance frameworks to handle large, complex datasets.</li>
<li>DevOps &amp; Deployment: Manage containerization (Docker) and CI/CD pipelines to ensure automated, secure, and scalable deployments.</li>
<li>Collaboration: Act as an &quot;analytics translator&quot; between business units and IT, coordinating with UI/UX teams, Data Scientists, and AI Engineers to align technical builds with business growth.</li>
<li>Compliance &amp; Standards: Adhere to all organizational policies, service standards, and procedural instructions to ensure consistent, high-quality delivery.</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
The key requirements for this role are:<ul>
<li>
Proficiency in back-end frameworks (FastAPI, Flask, or Node.js) and front-end frameworks (React.js, Angular, or Vue.js).</li>
<li>Strong grasp of GenAI engineering, LLM integration (Azure OpenAI), and RAG workflows.</li>
<li>Hands-on experience with Azure or AWS ecosystems, including serverless deployments (Azure Functions/AWS Lambda) and cloud storage (S3, Blobs).</li>
<li>Advanced coding skills in Python and JavaScript/TypeScript.</li>
<li>Expert-level knowledge of Docker, container registries (ACR), and CI/CD automation.</li>
</ul>
You should also have the following:<ul>
<li>
A Bachelor&rsquo;s degree in a quantitative field such as Computer Science, Software Engineering, or a related discipline.</li>
<li>A minimum of 5+ years in professional software development.</li>
<li>Proven track record in building scalable, secure web applications and integrating AI models within a cloud-native environment (Azure preferred).</li>
<li>Advanced knowledge of banking operations, terminologies, and financial services products.</li>
</ul>
It would be preferable if you also have:<ul>
<li>
The ability to analyse complex banking products and services to drive innovation and decision-making.</li>
<li>Proven ability to translate complex technical/data requirements for non-technical internal stakeholders.</li>
<li>The capacity to manage and motivate team members to contribute to change initiatives and continuous improvement.</li>
<li>The ability to work effectively in an ad-hoc, fast-paced environment across different functional teams.</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>

Backend Engineer

<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

10Pearls

<div>Company Overview
10Pearls is an end-to-end digital technology services partner helping businesses utilize technology as a competitive advantage. We help our customers digitalize their existing business, build innovative new products, and augment their existing teams with high-performance team members. Our broad expertise in product management, user experience/design, cloud architecture, software development, data insights and intelligence, cybersecurity, emerging tech, and quality assurance ensures that we are delivering solutions that address business needs. 10Pearls is proud to have a diverse clientele including large enterprises, SMBs, and high-growth startups. We work with clients across industries, including healthcare/life sciences, education, energy, communications/media, financial services, and hi-tech. Our many long-term, successful partnerships are built upon trust, integrity, and successful delivery and execution.
Role
As an AI Architect in the oil and gas sector, you will design, implement, and oversee AI systems that enhance operational efficiency, optimize production, and drive innovation. Your role focuses on defining the architecture for AI and machine learning solutions, ensuring scalability, reliability, and alignment with business objectives.
Responsibilities<ul><li>
Define the AI strategy and architecture to address business needs across exploration, production, and operational domains.</li><li>
Develop roadmaps for integrating AI into existing systems, focusing on scalability and long-term sustainability.</li><li>
Identify and prioritize AI use cases, such as predictive maintenance, reservoir modelling, and supply chain optimization.</li><li>
Design end-to-end architectures for machine learning pipelines, including data ingestion, model development, training, and deployment.</li><li>
Implement MLOps best practices for continuous integration, deployment, and monitoring of AI models.</li><li>
Implement AI explainability frameworks such as SHAP, LIME, and Explainable AI (XAI) to enhance transparency.</li><li>
Develop human-in-the-loop (HITL) AI systems for critical decision support in exploration and production.</li><li>
Design AI models with bias detection and fairness auditing mechanisms.</li><li>
Automate cloud-based AI model provisioning using infrastructure as code (IaC) principles.</li><li>
Select appropriate frameworks, libraries, and tools (e.g., TensorFlow, PyTorch, Scikit-learn) for AI development.</li><li>
Build scalable solutions using cloud platforms like AWS, Azure, or Google Cloud, leveraging tools such as Kubernetes and Docker for containerization.</li><li>
Establish data standards, pipelines, and governance policies to ensure high-quality input for AI models.</li><li>
Implement monitoring systems to track performance, retrain models as necessary, and maintain accuracy over time.</li><li>
Develop strategies to address bias, fairness, and ethical considerations in AI systems.</li><li>
Design AI solutions that integrate seamlessly with existing oil and gas technologies, such as SCADA systems, IoT sensors, and geophysical modelling tools.</li><li>
Develop AI models tailored to specific oil and gas applications, such as seismic data analysis, drilling optimisation, and production forecasting.</li><li>
Enable real-time analytics and decision support through edge computing and AI-enabled IoT systems.</li><li>
Stay current with the latest advancements in AI and recommend technologies that align with business objectives.</li><li>
Collaborate with data scientists, engineers, and business leaders to align technical solutions with operational goals.</li><li>
Guide teams in best practices for AI development, deployment, and maintenance.</li><li>
Ensure all AI systems comply with industry regulations and data privacy standards.</li><li>
Implement robust cybersecurity measures to protect sensitive data and AI systems from threats.</li><li>
Document architectures, workflows, and operational guidelines for transparency and compliance audits.</li></ul>
Requirements<ul><li>
Knowledge of deep learning, natural language processing, computer vision, and reinforcement learning techniques.</li><li>
Expertise in AWS, Azure, or Google Cloud for deploying AI solutions.</li><li>
Strong ability to work with multidisciplinary teams, including engineers, data scientists, and business stakeholders.</li><li>
Excellent ability to translate complex technical concepts into actionable business strategies.</li><li>
Design AI solutions to reduce downtime, optimise drilling accuracy, and improve production yields.</li><li>
Leverage tools such as Kubeflow, MLflow, and SageMaker Pipelines for end-to-end ML lifecycle management.</li><li>
Implement predictive analytics to prevent equipment failures and optimise resource allocation.</li><li>
Enable advanced applications like digital twins, automated geophysical analysis, and AI-driven reservoir modelling.</li><li>
Familiarity with data processing frameworks (e.g., Apache Spark, Hadoop).</li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, or a related field (PhD preferred).</li><li>
8+ years of experience in AI/ML development, with at least 3 years in an architecture or leadership role.</li><li>
Strong understanding of oil and gas industry workflows and challenges.</li><li>
Expertise in AI/ML frameworks and big data technologies.</li><li>
Practical experience with a statistical programming language (e.g., Python, R) and applied machine learning techniques for AI model development.</li></ul>
EH8cPOOutM</div>

AI Architect

SteerAI

<div>
 
 
 About SteerAI
 
 
 
 SteerAI is an autonomous mobility technology company powered by VentureOne, the commercialization arm of the Advanced Technology Research Council. SteerAI&rsquo;s advanced AI-powered autonomy stack, developed by the Technology Innovation Institute, empowers the logistics and defense industries by turning industrial vehicles into autonomous powerhouses that can handle complex off-road missions, transforming operations and protecting organizations' most important assets: their workforce.
 
 
 
 
 
 
 Role Overview
 
 
 
 
 
 
 As a Senior Decision-making Engineer with expertise in intelligent state management systems that blend advanced machine learning with proven decision logic, you will be at the forefront of developing and integrating advanced algorithms and autonomous systems. Your role centers on designing high-level mission management frameworks enhanced by deep neural networks acting as state checkers and policy decision units. Collaboration with interdisciplinary teams is key to integrating decision-making systems across various vehicle types and applications, focusing on robust, reliable performance.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 <ul>
 <li>
 Design, implement, and optimize the current software architecture of the autonomous stack with a focus on hybrid decision-making systems. The goal is to exploit data-driven learning for complex scenario handling while maintaining a rule-based structure for safety and interpretability.
 </li>
 <li>
 Develop a comprehensive, behavior-based decision-making framework for diverse autonomous ground vehicles.
 </li>
 <li>
 Design, implement, and optimize the deliberation system to ensure adaptability and efficiency across different vehicle dynamics and applications.
 </li>
 <li>
 Develop unit and functional test cases for the autonomous stack. (code coverage, memory management, integration with the CI/CD pipeline)
 </li>
 <li>
 Conduct thorough evaluations of the autonomous vehicle&rsquo;s decision-making architecture, comparing classical methods and deep learning-based methods for performance, safety, and reliability.
 </li>
 <li>
 Collaborate across functions for seamless integration of decision-making modules with vehicle systems.
 </li>
 <li>
 Produce extensive technical documentation and support internal teams and third-party understanding and adoption.
 </li>
 <li>
 Work in projects utilizing C++, Python and various ROS components.
 </li>
 <li>
 Conduct field tests with the platforms as part of the development pipeline
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 
 
 <ul>
 <li>
 Proven experience in decision-making algorithms for autonomous ground robots.
 </li>
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 In-depth knowledge of utility-based decision-making, behavior trees, state machines, and planning languages like PDDL.
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 In-depth understanding of various decision-making paradigms - from classical utility-based and rule-based systems to modern learning-based methods.
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 Practical experience with multi-vehicle systems, ground robots, and autonomous vehicle challenges.
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 Excellent problem-solving, creativity, and attention to detail.
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 Outstanding communication and teamwork skills, capable of leading in interdisciplinary settings.
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 Continuous learning commitment, staying up to date on the newest advances in autonomous driving and it&rsquo;s related technologies.
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 Expertise in C++ debugging tools like gdb, valgrind etc. and profilers like gperftools.
 </li>
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 Experience with ground robotics projects involving Linux, docker, ROS2, git, and agile tools like Jira.
 </li>
 <li>
 Bachelor&rsquo;s, Master&rsquo;s, or PhD in Robotics, Computer Science, Engineering, or related field.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 What We Offer
 
 
 
 We provide a competitive, tax-free salary and a comprehensive benefits package in a collaborative, innovative, and inclusive work environment.
 
 
 Our benefits include an education allowance, free on-site meals, annual flight allowance, health coverage, relocation support (if applicable), and access to well-being activities such as sports and recreational events.
 
 
 Join us to drive innovation and shape the future of technology!
 
</div>

Senior Decision-Making Engineer

First Abu Dhabi Bank (FAB)

<div>
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Oversee the full development process, from initial design through deployment and maintenance
 </li>
 <li>
 Architect and implement scalable, secure, and reliable AI/ ML powered software solutions that can handle increasing load and complexity
 </li>
 <li>
 Promote coding standards, CI/CD workflows, and other software development best practices to deliver high-quality, maintainable code
 </li>
 <li>
 Work closely with product managers, data scientists/AI Eng., and other stakeholders to clarify requirements, set priorities, and align on deliverables
 </li>
 <li>
 Define and maintain the engineering roadmap, balancing new feature development with technical debt and platform improvements
 </li>
 <li>
 Establish and maintain clear, comprehensive technical documentation while driving best practices in engineering
 
 
 </li>
 </ul>
 
 Qualifications &amp; Experience
 
 
 
 <ul>
 <li>
 7-10 years of experience in software development and engineering complex applications
 </li>
 <li>
 Experience developing and deploying AI/ ML powered solutions
 </li>
 <li>
 Strong proficiency in Python and at least one other language (e.g., Golang, Rust, Java, etc.) and related frameworks
 </li>
 <li>
 Familiarity with cloud computing platforms (AWS, Azure, Google Cloud) and container orchestration (Kubernetes, Docker)
 </li>
 <li>
 Strong foundation in algorithms, data structures, and system design
 </li>
 <li>
 Deep understanding of modern software engineering practices (e.g., DevOps, CI/CD, microservices)
 </li>
 <li>
 Hands-on experience with data pipelines, ETL processes, data warehouses, and related tools (Spark, Airflow, etc.)
 </li>
 <li>
 Educational qualifications: Bachelor&rsquo;s/Master&rsquo;s degree in Computer Science, Engineering, or related field
 </li>
 </ul>
</div>

Software Engineering Manager

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