Qureos Mentor

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 Technical Product Manager is a strategic leader responsible for defining and delivering the next generation of AI and Machine Learning platforms at ADCB. This role sits at the intersection of Data Science, Engineering, and Business, transforming the Bank&rsquo;s Generative AI strategy into scalable, secure, and high-impact products. You will own the product roadmap and agile execution for squads focused on LLMs, agentic systems, and enterprise ML platforms. Success in this role requires a deep technical understanding of AI evaluation and observability combined with the commercial acumen to drive ROI and continuous improvement across the Bank&rsquo;s digital and operational value streams.
As the Technical Product Owner, your responsibilities will include;<ul><li>
Translating the enterprise Generative AI strategy into actionable technical roadmaps, backlogs, and engineering-ready capabilities.</li><li>
Acting as the Product Owner for AI squads, facilitating sprint planning, backlog refinement in Jira, and removing blockers to maintain high delivery velocity.</li><li>
Defining and implementing robust frameworks for evaluating LLMs and agentic workflows, ensuring AI outputs are transparent, explainable, and high-performing.</li><li>
Leading the end-to-end AI product lifecycle, from rapid prototyping and feasibility assessment to production monitoring and iterative improvement.</li><li>
Serving as the primary liaison between technical squads and business units, narrating complex AI capabilities as compelling business value propositions.</li><li>
Ensuring all AI products align with ADCB&rsquo;s ethical principles, compliance standards, and enterprise-grade security requirements.</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 you to have:<ul><li>
A minimum of 7 years in Product Management, specifically focused on AI, digital platforms, or enterprise-scale technology solutions.</li><li>
A Bachelor&rsquo;s degree in Business, Computer Science, or Information Systems. A Master&rsquo;s degree or specialized certification in AI Strategy is highly preferred.</li><li>
Experience leading cross-functional squads to deliver successful AI/ML products from concept to production.</li><li>
A strong understanding of Generative AI concepts, including RAG (Retrieval Augmented Generation), LLMs, agentic systems, and RLHF.</li><li>
Expert-level experience in managing complex backlogs, prioritizing features based on business impact, and facilitating Agile ceremonies.</li><li>
Knowledge of evaluation frameworks for AI models and the ability to define KPIs that measure both technical performance and business ROI.</li><li>
Familiarity with the modern AI stack (e.g., Azure OpenAI, LangChain, Pinecone) and agile management tools like Jira.</li><li>
Ability to balance rapid experimentation and prototyping with the requirements of a highly regulated banking environment.</li></ul> 
It would be beneficial if you also have:<ul><li>
Qualifications including; CSPO (Certified Scrum Product Owner), SAFe POPM, or equivalent agile certifications.</li><li>
Excellent presentation skills with the ability to influence senior leadership through clear product visions.</li><li>
A proactive approach to identifying emerging AI trends and assessing their applicability to banking use cases.</li><li>
Active contribution to an internal AI Community of Practice to foster knowledge sharing and innovation across the Bank.</li><li>
Ability to perform product-market fit analysis to ensure AI solutions solve real user friction points.</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>

Technical Product Owner

<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 Technical Business Analyst acts as the critical bridge between business objectives and technical AI execution. This role is responsible for driving the successful delivery of AI-powered solutions by translating complex business needs into actionable technical requirements and system specifications. You will ensure that every AI initiative is aligned with ethical, regulatory, and performance standards while supporting the end-to-end lifecycle&mdash;from initial elicitation and feasibility testing with Data Scientists to User Acceptance Testing (UAT) and change management. Your goal is to ensure AI tools are not only technically sound but also practically integrated into banking workflows to drive measurable business value.
Your responsibilities as the Technical Business Analyst include:<ul><li>
Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputs.</li><li>
Partnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goals.</li><li>
Defining AI-specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairness.</li><li>
Developing tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitations.</li><li>
Identifying high-impact opportunities for AI-driven automation and predictive analytics within existing banking processes.</li><li>
Acting as an &quot;analytics translator,&quot; communicating complex requirements between business units and IT while ensuring traceability throughout the project lifecycle.</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 you to have:<ul><li>
A Bachelor&rsquo;s Degree in Computing, Engineering, Commerce, or Business Administration.</li><li>
A minimum of 5 years of experience in professional business analysis.</li><li>
A proven track record of supporting AI/ML project lifecycles, specifically in requirement documentation and UAT support.</li><li>
Experience navigating regulatory compliance and data governance within a financial services environment.</li><li>
Proven ability to convert vague business needs into precise technical metrics and performance benchmarks for AI systems.</li><li>
Experience in model validation techniques and a strong understanding of how to detect anomalies or bias in AI behavior.</li><li>
Expertise in maintaining detailed audit trails, versioning, and decision logic documentation for AI models.</li><li>
Deep understanding of data privacy regulations, ethical AI principles, and internal governance frameworks.</li><li>
Skilled in analyzing complex workflows to find automation &quot;hotspots&quot; suitable for AI intervention.</li><li>
Strong experience in stakeholder management and excellent presentation and communication skills.
</li></ul>What we'd like you to have:<ul><li>
Proven ability to explain &quot;black box&quot; AI concepts to non-technical users in a way that builds trust and promotes responsible usage.</li><li>
Familiarity with improving business analysis processes to support rapid, iterative AI development cycles.</li><li>
Ability to uncover &quot;hidden&quot; business needs that stakeholders may not yet realize can be solved by AI.</li><li>
A proactive mindset regarding the monitoring of AI model behavior for ethical concerns or performance drift.</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>

Technical Business Analyst

<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 Senior Technical AI Business Analyst acts as the critical bridge between business objectives and technical AI execution. This role is responsible for driving the successful delivery of AI-powered solutions by translating complex business needs into actionable technical requirements and system specifications. You will ensure that every AI initiative is aligned with ethical, regulatory, and performance standards while supporting the end-to-end lifecycle&mdash;from initial elicitation and feasibility testing with Data Scientists to User Acceptance Testing (UAT) and change management. Your goal is to ensure AI tools are not only technically sound but also practically integrated into banking workflows to drive measurable business value.
Your responsibilities as the Senior Technical AI Business Analyst include:<ul><li>
Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputs.</li><li>
Partnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goals.</li><li>
Defining AI-specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairness.</li><li>
Developing tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitations.</li><li>
Identifying high-impact opportunities for AI-driven automation and predictive analytics within existing banking processes.</li><li>
Acting as an &quot;analytics translator,&quot; communicating complex requirements between business units and IT while ensuring traceability throughout the project lifecycle.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</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 you to have:<ul><li>
A Bachelor&rsquo;s Degree in Computing, Engineering, Commerce, or Business Administration.</li><li>
A minimum of 5 years of experience in professional business analysis.</li><li>
A proven track record of supporting AI/ML project lifecycles, specifically in requirement documentation and UAT support.</li><li>
Experience navigating regulatory compliance and data governance within a financial services environment.</li><li>
Proven ability to convert vague business needs into precise technical metrics and performance benchmarks for AI systems.</li><li>
Experience in model validation techniques and a strong understanding of how to detect anomalies or bias in AI behavior.</li><li>
Expertise in maintaining detailed audit trails, versioning, and decision logic documentation for AI models.</li><li>
Deep understanding of data privacy regulations, ethical AI principles, and internal governance frameworks.</li><li>
Skilled in analyzing complex workflows to find automation &quot;hotspots&quot; suitable for AI intervention.</li><li>
Strong experience in stakeholder management and excellent presentation and communication skills.
</li></ul>What we'd like you to have:<ul><li>
Proven ability to explain &quot;black box&quot; AI concepts to non-technical users in a way that builds trust and promotes responsible usage.</li><li>
Familiarity with improving business analysis processes to support rapid, iterative AI development cycles.</li><li>
Ability to uncover &quot;hidden&quot; business needs that stakeholders may not yet realize can be solved by AI.</li><li>
A proactive mindset regarding the monitoring of AI model behavior for ethical concerns or performance drift.</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>

Senior Technical AI Business Analyst

<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 Senior Business Analyst acts as the critical bridge between business objectives and technical AI execution. This role is responsible for driving the successful delivery of AI-powered solutions by translating complex business needs into actionable technical requirements and system specifications. You will ensure that every AI initiative is aligned with ethical, regulatory, and performance standards while supporting the end-to-end lifecycle&mdash;from initial elicitation and feasibility testing with Data Scientists to User Acceptance Testing (UAT) and change management. Your goal is to ensure AI tools are not only technically sound but also practically integrated into banking workflows to drive measurable business value.
Your responsibilities as the Senior Business Analyst include:<ul><li>
Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputs.</li><li>
Partnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goals.</li><li>
Defining AI-specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairness.</li><li>
Developing tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitations.</li><li>
Identifying high-impact opportunities for AI-driven automation and predictive analytics within existing banking processes.</li><li>
Acting as an &quot;analytics translator,&quot; communicating complex requirements between business units and IT while ensuring traceability throughout the project lifecycle.</li><li>
Supporting, Coaching and Mentoring more junior members of the team, when required</li><li>
Additional responsibilities on occasion, on management request</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 you to have:<ul><li>
A Bachelor&rsquo;s Degree in Computing, Engineering, Commerce, or Business Administration.</li><li>
A minimum of 5 years of experience in professional business analysis.</li><li>
A proven track record of supporting AI/ML project lifecycles, specifically in requirement documentation and UAT support.</li><li>
Experience navigating regulatory compliance and data governance within a financial services environment.</li><li>
Proven ability to convert vague business needs into precise technical metrics and performance benchmarks for AI systems.</li><li>
Experience in model validation techniques and a strong understanding of how to detect anomalies or bias in AI behavior.</li><li>
Expertise in maintaining detailed audit trails, versioning, and decision logic documentation for AI models.</li><li>
Deep understanding of data privacy regulations, ethical AI principles, and internal governance frameworks.</li><li>
Skilled in analysing complex workflows to find automation &quot;hotspots&quot; suitable for AI intervention.</li><li>
Strong experience in stakeholder management and excellent presentation and communication skills.
</li></ul>What we'd like you to have:<ul><li>
Proven ability to explain &quot;black box&quot; AI concepts to non-technical users in a way that builds trust and promotes responsible usage.</li><li>
Familiarity with improving business analysis processes to support rapid, iterative AI development cycles.</li><li>
Ability to uncover &quot;hidden&quot; business needs that stakeholders may not yet realize can be solved by AI.</li><li>
A proactive mindset regarding the monitoring of AI model behavior for ethical concerns or performance drift.</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>

Senior Business Analyst

<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 QA &amp; Application Testing &amp; Automation Engineer is responsible for the quality, resilience, and performance of the Bank&rsquo;s digital and core operational platforms. This role goes beyond traditional testing, focusing on the end-to-end validation of next-generation AI systems, mobile applications, and enterprise services. By building sophisticated automated frameworks and continuous testing pipelines, you will ensure that every release&mdash;from Conversational AI agents to core banking microservices&mdash;meets the highest standards of security, scalability, and reliability. You will act as a quality gatekeeper, collaborating across engineering and cybersecurity teams to accelerate deployment without compromising the Bank's integrity.
Your responsibilities within this role include:
<ul><li>Validate next-gen AI platforms (voice and chat) for accuracy, stability, latency, and safety; ensure AI-driven enterprise search avoids hallucinations.</li><li>
Build and maintain reusable automation frameworks for web, mobile, and API integrations using Python, Selenium, or Playwright.</li><li>
Validate RAG (Retrieval-Augmented Generation) pipelines, vector search quality, and grounding accuracy to ensure data retrieval performance.</li><li>
Implement automated quality checks for MLOps, including drift detection, retraining validation, and model registry integrity.</li><li>
Conduct scenario-based testing for operational AI agents (KYC, Risk, Compliance) and validate high availability and disaster recovery protocols.</li><li>
Integrate automated quality gates into CI/CD pipelines to ensure continuous validation within containerized (Docker/Kubernetes) environments.</li><li>
Verify that all AI engineering aligns with guardrails for fairness, security, explainability, and regulatory requirements.</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 
We need you to have:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, or a related quantitative field. A Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
A minimum 5+ years in QA and Automation, preferably within a large-scale digital bank or a major digital transformation project.</li><li>
Proven experience deploying AI/ML QA solutions at an enterprise scale, specifically in banking or financial services.</li><li>
Deep knowledge of software testing methodologies (Functional, Regression, Security, and Non-functional).</li><li>
Proficiency in Python for test automation and expertise with tools like PyTest, Selenium, Playwright, and Postman.</li><li>
Hands-on experience testing LLM response quality, prompt stability, and agentic orchestration workflows.</li><li>
Strong experience validating pipelines and storage services across Azure (AI Foundry) and AWS (SageMaker).</li><li>
Proficiency in load and stress testing using tools like JMeter or Locust.</li><li>
Expertise in SQL and NoSQL test validation (Postgres, MongoDB, Cassandra) and data platform integrity.</li></ul>
It would be beneficial if you also have:<ul><li>
The ability to evaluate and integrate emerging AI testing tools such as LangChain, CrewAI, or Bedrock.</li><li>
Experience at acting as an &quot;analytics translator&quot; between technical teams and business stakeholders regarding quality risks.</li><li>
An understanding of cybersecurity principles in the context of AI safety and prompt injection prevention.</li><li>
A proven ability to work within fast-paced squads to remove blockers and manage dependencies.</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>

QA & Application Testing & Automation 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 Platform SRE and Reliability Engineer is responsible for ensuring the absolute quality, resilience, and performance of the Bank&rsquo;s next-generation AI and digital platforms. This role focuses on the high-stakes intersection of Site Reliability Engineering (SRE) and AI Quality Assurance, designing automated frameworks to validate everything from Conversational AI agents and RAG pipelines to core banking microservices. By implementing robust continuous testing pipelines and reliability governance, you will guarantee that the Bank&rsquo;s AI-driven experiences remain secure, scalable, and deterministically accurate under real-world conditions.
As the Platform SRE &amp; Reliability Engineer, your responsibilities include:<ul><li>
Building reusable automation frameworks to test the accuracy, stability, latency, and safety of Conversational AI platforms (voice and chat) and LLM-based agents.</li><li>
Validating multi-agent orchestration, human-in-the-loop escalation logic, and the integrity of RAG pipelines and vector search results.</li><li>
Testing AI/ML platform components for scaling behavior, failover resilience, high availability, and disaster recovery.</li><li>
Integrating automated test pipelines into CI/CD workflows for MLOps, focusing on drift detection, retraining validation, and model registry integrity.</li><li>
Verifying AI/ML pipelines on Azure AI Foundry and AWS SageMaker, ensuring data integrity across storage services (S3/Blobs) and serverless functions.</li><li>
Conducting load testing for AI services and ensure engineering guardrails for fairness, explainability, and regulatory compliance are enforced.</li><li>
Acting as a bridge between engineering and business, translating complex technical reliability requirements into actionable quality narratives.</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 
To be successful in this role, we need you to have:<ul><li>
A Bachelor&rsquo;s degree in Computer Science, AI, Software Engineering, or a related quantitative field. A Master&rsquo;s degree in AI/ML is highly preferred.</li><li>
5+ years in QA, Application Testing, or Reliability Engineering, ideally for a large-scale brand or digital-only bank.</li><li>
Proven track record in deploying AI/ML QA solutions at an enterprise scale within the financial services sector.</li><li>
Experience testing distributed architectures, microservices, and large-scale data platforms (Vector DBs, Data Lakes).</li><li>
Expertise in Python-based automation frameworks and tools such as Selenium, Playwright, PyTest, JMeter, and Locust.</li><li>
A deep understanding of LLM evaluation frameworks, prompt stability testing, and hallucination avoidance validation.</li><li>
Hands-on experience testing and validating services across both Azure and AWS cloud environments.</li><li>
Strong SQL/NoSQL validation skills (Postgres, MongoDB) and experience testing REST, GraphQL, and FastAPI integrations.</li><li>
Be proficient in testing within Docker and Kubernetes (EKS/AKS) environments.</li></ul> 
It would be beneficial if you also had:<ul><li>
An ability to evaluate and adopt emerging QA tools for AI frameworks like LangChain, CrewAI, and Bedrock.</li><li>
An understanding of cutting-edge quality trends, including multimodal QA and RLHF (Reinforcement Learning from Human Feedback) output evaluation.</li><li>
A proactive approach to identifying edge cases in AI agents that could impact banking compliance or customer experience.</li><li>
A strong ability to coordinate with different functional teams to implement models and monitor outcomes.</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>

Platform SRE and Reliability 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

Join Deeplight and explore 16   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.