Jobs at Deeplight AI

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's AI-driven applications—including Generative AI and LLM agents—are secure, efficient, compliant, and highly available.Your responsibilities as the MLOps and DevOps Engineer include:Design and deploy scalable AI infrastructure using GitHub Actions, EKS, ECS, and AWS Lambda; automate all resource provisioning via TerraformCreate and manage end-to-end CI/CD pipelines for model deployment, versioning, and lifecycle management using Azure DevOps and GitHub ActionsDeploy machine learning and large language models via Amazon SageMaker, EKS, and Azure ML EndpointsImplement comprehensive monitoring for model performance and drift using Amazon CloudWatch, SageMaker Model Monitor, and OpenSearchIntegrate advanced services including Azure OpenAI, Azure Cognitive Services, and AWS Rekognition into enterprise workflowsDesign robust data pipelines and real-time ingestion streams using AWS Glue, Amazon Redshift, Athena, and Apache SparkEnforce cloud security through AWS WAF, Azure Key Vault, and RBAC, ensuring all deployments meet GDPR and ISO compliance standardsSupervise team activities and contribute to change initiatives in line with the Bank's continuous improvement standardsAs 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 "why" behind your technical decisions, and effectively "selling" 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.RequirementsWhat we need from you:A Bachelor's degree in Computer Science, AI, Software Engineering, Statistics, Mathematics, or a related quantitative fieldA minimum of 5 years in designing and deploying AI solutions in cloud environments, specifically within MLOps/LLMOps frameworksProficiency with GitHub Actions, Spark, Redshift, MongoDB, and Azure PurviewDeep hands-on expertise in AWS (SageMaker, EKS, S3) and Azure (OpenAI, Cognitive Services) ecosystemsMastery of Terraform for multi-cloud resource automationProven experience in both MLOps (standard ML) and LLMOps (Large Language Models), focusing on fine-tuning, orchestration, and monitoringExpertise in managing container images via ECR/ACR and deploying via Kubernetes (EKS/AKS)Strong understanding of secure networking (WAF, NSGs) and secret managementIt would be beneficial if you also have:Azure and/or AWS certifications (e.g., AWS Certified Machine Learning - Specialty or Azure AI Engineer Associate) are highly preferredAbility to seamlessly manage workloads that span across both AWS and AzureSkill in communicating complex technical infrastructure requirements to non-technical business stakeholdersAdaptability in troubleshooting model drift and performance bottlenecks in real-time agentic workflowsProactive identification of new tools (e.g., Vector DBs, orchestration frameworks) to improve deployment velocityBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis 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. Show more Show less

DeepLight AI is a specialist consultancy implementing intelligent enterprise systems, with deep expertise in financial services and banking. We are seeking a Generative AI Engineer to join our team, focusing on turning advanced research into high-impact, production-ready enterprise solutions.You won't just train models; you will design, build, and own the entire lifecycle of AI systems that leverage Large Language Models (LLMs), RAG, and Multimodal AI to solve our clients' most complex problems.The Challenge: Owning the LLM Production PipelineThis role demands a unique combination of applied machine learning, data engineering, and scalable software delivery, operating entirely within a robust MLOps/LLMOps framework .🛠️ What You Will Be Doing (Key Responsibilities):Design & Deliver GenAI Solutions: Leading the implementation of LLM-based applications, including custom chatbots, advanced summarization services, and creative co-pilotsModel Optimization & Steering: Applying cutting-edge techniques like fine-tuning, LoRA/PEFT, and RLHF to optimize model performance and ensure factual accuracyRAG System Architecture: Architecting and building high-performance Retrieval-Augmented Generation (RAG) pipelines, managing the full lifecycle of embeddings and context-aware retrievalProduction Code: Writing robust, deployment-ready software in Python and TypeScript, delivering clean, modular codeMLOps Automation: Implementing full LLMOps/MLOps using Docker, Kubernetes, and Terraform to automate CI/CD, deployment, and versioning across major cloud platforms (AWS/GCP/Azure)Data Grounding: Ensuring model intelligence is fresh and reliable by connecting to Airflow, dbt, and Kafka pipelinesGovernance & Safety: Embedding responsible AI practices, including hallucination control, bias mitigation, and auditability, into every deployed systemRequirementsDeep knowledge of transformers, diffusion models, and advanced prompt engineeringProven expertise in embeddings, vector databases, and designing context-aware retrieval pipelinesProficiency in Python, REST APIs, containerization, CI/CD, and model versioningProficiency in Python and TypeScript; core ML development using PyTorch, TensorFlow, and the Hugging Face ecosystemExpertise with LangChain, LlamaIndex, and APIs from OpenAI/AnthropicUse of MLflow and Weights & Biases for experiment tracking and versioning, leveraging platforms like Vertex AI or SageMakerMastery of Docker, Kubernetes, and Terraform for scalable deployment across major clouds (AWS, GCP, Azure)Familiarity with Airflow, dbt, Postgres, and Kafka for data ingestion and transformationExperience & Qualifications3-7 years in AI/ML, with a critical 1-3 years hands-on with LLMs or production GenAI applicationsProven delivery of production-grade GenAI tools in agile, rapid-iteration environmentsBSc/MSc in Computer Science, Data Science, or a related technical fieldExperience with model evaluation, data privacy, and bias mitigationHands-on experience with ChromaDB, Pinecone, Weaviate, and FAISS for retrieval and embedding managementBenefitsBenefits & Growth Opportunities: Competitive salary Comprehensive health insurance Ongoing professional development Opportunity to work on cutting-edge AI projects Flexible working arrangements Career advancement opportunities in a rapidly growing AI companyThis 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.Please note: If you fail to meet the required criteria in the screening questions, your application will not be progressed Show more Show less

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—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:Facilitation of workshops and interviews to gather and document business requirements, translating them into clear AI specifications for data inputs and model outputsPartnering with Data Scientists and ML Engineers to validate the feasibility of AI use cases and ensure alignment with strategic business goalsDefining AI-specific test strategies, including model validation, bias detection, and performance benchmarking to ensure accuracy and fairnessDeveloping tailored training materials and user manuals to help staff understand AI confidence scores, outputs, and system limitationsIdentifying high-impact opportunities for AI-driven automation and predictive analytics within existing banking processesActing as an "analytics translator," communicating complex requirements between business units and IT while ensuring traceability throughout the project lifecycleAs 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 "why" behind your technical decisions, and effectively "selling" 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.RequirementsWhat we need you to have:A Bachelor's Degree in Computing, Engineering, Commerce, or Business AdministrationA minimum of 5 years of experience in professional business analysisA proven track record of supporting AI/ML project lifecycles, specifically in requirement documentation and UAT supportExperience navigating regulatory compliance and data governance within a financial services environmentProven ability to convert vague business needs into precise technical metrics and performance benchmarks for AI systemsExperience in model validation techniques and a strong understanding of how to detect anomalies or bias in AI behaviorExpertise in maintaining detailed audit trails, versioning, and decision logic documentation for AI modelsDeep understanding of data privacy regulations, ethical AI principles, and internal governance frameworksSkilled in analyzing complex workflows to find automation "hotspots" suitable for AI interventionStrong experience in stakeholder management and excellent presentation and communication skills. What we'd like you to have:Proven ability to explain "black box" AI concepts to non-technical users in a way that builds trust and promotes responsible usageFamiliarity with improving business analysis processes to support rapid, iterative AI development cyclesAbility to uncover "hidden" business needs that stakeholders may not yet realize can be solved by AIA proactive mindset regarding the monitoring of AI model behavior for ethical concerns or performance driftBenefitsBenefits & Growth Opportunities:Competitive salaryVisa Sponsorship for the successful individual. Comprehensive health insurance for the successful individual. Professional development and certification supportOpportunity to work on cutting-edge AI projectsCareer advancement opportunities in a rapidly growing AI companyThis 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. Show more Show less