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 Data Engineer is responsible for designing, implementing, and optimising data pipelines and infrastructure to support our cutting-edge AI systems. The Data Engineer collaborates closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains.
Responsibilities of the role: 
<ul><li>
Design, build, and optimise scalable data solutions, primarily utilising the Lakehouse architecture to unify data warehousing and data lake capabilities. Advise stakeholders on the strategic choice between Data Warehouse, Data Lake, and Lakehouse architectures based on specific business needs, cost, and latency requirements.</li><li>
Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds.</li><li>
Implement standards and tooling to ensure ACID properties, schema evolution, and high data quality within the Lakehouse environment. Implement robust data governance frameworks (security, privacy, integrity, compliance, auditing).</li><li>
Continuously optimize data storage, compute resources, and query performance across the data platform to reduce costs and improve latency for both BI and ML workloads, leveraging techniques such as indexing, partitioning, and parallel processing.</li><li>
Develop and maintain CI/CD pipelines to automate the entire machine learning lifecycle, from data validation and model training to deployment and infrastructure provisioning.</li><li>
Deploy, manage, and scale machine learning models into production environments, utilizing MLOps principles for reliable and repeatable operations.</li><li>
Establish and manage monitoring systems to track model performance metrics, detect data drift (changes in input data), and model decay (degradation in prediction accuracy).</li><li>
Ensure rigorous version control and tracking for all components: code, datasets, and trained model artifacts (using tools like MLflow or similar).</li><li>
Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing.</li></ul>
Requirements<ul>
<li>
 Proven practical experience in designing, building, and optimising solutions using Data Lakehouse architectures (e.g., Databricks, Delta Lake).
</li><li>Strong hands-on experience with managing data ingestion, schema enforcement, ACID properties, and utilizing big data technologies/frameworks like Spark and Kafka.</li>
<li>Expertise in data modeling, ETL/ELT processes, and data warehousing concepts. Proficiency in SQL and scripting languages (e.g., Python, Scala).</li>
<li>Demonstrated practical experience implementing MLOps pipelines for production systems. This includes a solid understanding and implementation experience with MLOps principles: automation, governance, and monitoring of ML models throughout the entire lifecycle.</li>
<li>Experience with CI/CD tools, containerization/orchestration technologies (e.g., Docker, Kubernetes), model serving frameworks (e.g., TensorFlow Serving, Sagemaker), and experiment tracking (e.g., MLflow).</li>
<li>Experience with production monitoring tools to detect data drift or model decay.</li>
<li>Strong hands-on experience with major cloud platforms (e.g., AWS, Azure, GCP) and familiarity with DevOps practices.</li>
<li>Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights.</li>
<li>Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation and continuous learning</li>
</ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</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.</div>

Data 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 Core Banking Project Manager is responsible for overseeing core banking projects from inception to deployment.
The role is responsible for the full lifecycle of the project, using hybrid methodologies, and must ensure delivery is aligned with strategic business goals of the organisation. The role works closely with cross-functional teams to deliver high-impact transformation projects The role combines strong technical understanding with exceptional project management skills and business acumen and requires deep domain and technical awareness to successfully navigate the system's complexity.. The Core banking PM role is centered on managing the implementation, transformation, or upgrade of the bank's central IT systems, which are critical to all operations.
As the Core Banking Project Manager, your responsibilities will include;
<ul><li>Developing and managing comprehensive project plans, defining scope, objectives, deliverables, and milestones. This includes setting deadlines, managing the budget, and ensuring effective resource allocation.</li><li>
Proactively identifying potential risks and issues (RAID - Risks, Assumptions, Issues, Dependencies) specific to the banking domain (e.g., data loss, security breaches, compliance failure) and prepare detailed mitigation strategies.</li><li>
Managing communication and expectations across a diverse, complex stakeholder group, including:</li><li>
Executive Sponsors and Bank Management</li><li>
Business Analysts and End Users</li><li>
IT Teams, Architects, and Technical Leads</li><li>
External Vendors
</li><li>Monitoring and reporting project status, risks, and performance metrics to management. Ensure comprehensive documentation is maintained for auditability and governance.</li><li>
Regulatory Compliance: ensuring the project design and implementation (including data integrity, security, and process flows) adhere strictly to local and international financial regulations (e.g., AML, KYC, FATCA, Basel III).
</li><li>Coordinating the complex process of data migration, ensuring data integrity and zero information loss during the transition.</li><li>
Establish clear migration pathways and contingency plans to prevent service disruptions.</li><li>
Manage the interfaces and system integration with surrounding applications (e.g., wealth management, loan systems, digital channels).</li><li>
Manage the relationship and contracts with the Core Banking System vendor, tracking their tasks, deliverables, and commitment to the project's success.</li><li>
An understanding of the banking IT world, system design, databases (SQL), and API management (REST, SOAP) to effectively liaise with technical leads and investigate system logs or queries when necessary.</li></ul>
Requirements
As the Core Banking Project Manager, we need you to be;<ul><li>
Proficient in project management methodologies like Agile, Scrum, PMP, or PRINCE II.</li><li>
Significant demonstrable experience working within financial services</li></ul>
As well as having;<ul><li>
Experience managing large teams through Change.</li><li>
Experience preventing data mapping errors and maintaining data quality across historical and customer data.</li><li>
Significant demonstrable experience managing and controlling changes to the project's scope, as mid-project changes can severely impact budget and timelines.</li><li>
Strong leadership to guide cross-functional teams (IT, Legal, Operations, Business) and clear, frequent communication to senior stakeholders.</li><li>
A solid knowledge of banking products, processes, and the strategic rationale for the core banking change.</li><li>
The ability to identify bottlenecks, troubleshoot issues in a high-stakes environment, and make quick, informed decisions to maintain business continuity.</li><li>
Knowledge and understanding of how core banking transactions are performed</li><li>
Understanding and experience of working within the SDLC framework</li></ul>
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</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.</div>

Core Banking Project Manager

About the Role We're looking for an experienced and personable GenAI Solutions Architect to join our growing AI delivery team. You'll design and build large language model (LLM) systems that move beyond experimentation and into real-world production - powering search, summarisation, knowledge assistants, and automation for enterprise clients. This is a hands-on, execution-focused role that requires strong stakeholder management skills. You'll work closely with product managers, engineers, and AI specialists to ship scalable solutions. You won't be buried in research or building theoretical models; you'll be deploying actual systems that users rely on every day. Requirements What You'll Do <ul> <li>Architect end-to-end GenAI systems, including prompt chaining, memory strategies, token budgeting, and embedding pipelines</li> <li>Design and optimize RAG (Retrieval-Augmented Generation) workflows using tools like LangChain, LlamaIndex, and vector databases (FAISS, Pinecone, Qdrant). Experience with Graph RAG architectures and proficiency in Node.js required.</li> <li>Evaluate tradeoffs between zero-shot prompting, fine-tuning, LoRA / QLoRA, and hybrid approaches, aligning solutions with user goals and constraints</li> <li>Integrate LLMs and APIs (OpenAI, Anthropic, Cohere, Hugging Face) into real-time products and services with latency, scalability, and observability in mind</li> <li>Collaborate with cross-functional teams-translating complex GenAI architectures into stable, maintainable features that support product delivery</li> <li>Write and review technical design documents and remain actively involved in implementation decisions</li> <li>Deploy to production with industry best practices around version control, API lifecycle management, and monitoring (e.g., hallucination detection, prompt drift)</li> </ul> What You'll Bring <ul> <li>Proven background in Machine Learning</li> <li>Proven experience building and deploying GenAI-powered applications, in enterprise or regulated environments</li> <li>Deep understanding of LLMs, vector search, embeddings, and GenAI design patterns (e.g. RAG, prompt injection protection, tool use with agents)</li> <li>Proficiency in Python and fluency with frameworks and libraries like LangChain, Transformers, Hugging Face, and OpenAI SDKs</li> <li>Experience with vector databases such as FAISS, Qdrant, or Pinecone</li> <li>Familiarity with cloud infrastructure (AWS, GCP, or Azure) and core MLOps concepts (CI / CD, monitoring, containerization)</li> <li>Proven experience supporting and/or delivering AI / ML Products</li> <li>A commercial and delivery mindset- you know how to balance speed, quality, and feasibility in fast-moving projects</li> </ul> Nice to Have <ul> <li>Experience building multi-tenant GenAI platforms</li> <li>Exposure to enterprise-grade AI governance and security standards</li> <li>Familiarity with multi-modal architectures (e.g., text + image or audio)</li> <li>Knowledge of cost-optimization strategies for LLM inference and token usage</li> </ul> This Role Is Not For <ul> <li>ML researchers focused on academic model development without delivery / product experience</li> <li>Data scientists unfamiliar with vector search, LLM prompt engineering, or system architecture</li> <li>Engineers who haven't shipped GenAI products into production environments</li> </ul> Benefits & Growth Opportunities <ul> <li>Competitive salary and performance bonuses</li> <li>Comprehensive health insurance</li> <li>Professional development and certification support</li> <li>Opportunity to work on cutting-edge AI projects</li> <li>International exposure and travel opportunities</li> <li>Flexible working arrangements</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.

GenAI Solutions Architect

Join Deeplight and explore 4   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.

Deeplight

ABOUT_COMPANY

Data Engineer

Data Engineer

Core Banking Project Manager

GenAI Solutions Architect