Qureos Mentor

CodeNinja

<div>About the Company 
CodeNinja is a global technology and AI firm with 10+ years in the industry, helping enterprises modernize systems and embed AI into their workflows. We work across enterprise software, financial services, defense, health, logistics, and more, with 240+ clients across 15 countries. We partner with organizations to deliver AI infrastructure, dedicated engineering teams, and forward-deployed engineers who work directly inside client environments to own outcomes.
About the role
We are hiring an Senior AI QA Automation Engineer an experienced quality engineer who owns feature-level test strategy and automation for AI-enabled products. In this role, you will design and maintain automated tests and AI evaluation suites, integrate quality signals into CI/CD pipelines, and partner with Scrum teams to prevent defects and deliver reliable AI capabilities.
Key Responsibilities<ul><li>
Own test strategy and execution for assigned AI features across unit, API, UI, and end-to-end layers, aligned to Definition of Done and release criteria.
</li><li>Create and maintain automated AI evaluation suites (including golden datasets, scoring, and regression baselines) covering key user journeys and failure modes.
</li><li>Validate prompt, retrieval, and orchestration changes using repeatable test harnesses and defined acceptance thresholds.
</li><li>Build and extend automation frameworks, reusable utilities, and improve test stability, speed, and signal-to-noise.
</li><li>Integrate automated tests and AI evaluations into CI/CD, triage pipeline failures, and reduce flaky tests.
</li><li>Partner with engineers to improve testability (contracts, logging, observability) and drive shift-left quality practices.
</li><li>Analyze defects and AI output issues, perform root cause analysis, and implement regression coverage to prevent recurrence.
</li><li>Provide guidance to junior SDETs on automation, test design, and AI validation patterns; communicate quality risks to stakeholders.
</li><li>Support production readiness by validating guardrails, monitoring signals, and performance requirements for AI features.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science/Engineering (or equivalent practical experience).
</li><li>4+ years of experience in SDET / QA automation / quality engineering with strong hands-on automation and test design skills.
</li><li>Proficiency in at least one programming language (e.g., Python, C#, Java) and SQL, with the ability to debug services and tests.
</li><li>Experience building and maintaining automated tests (API/UI and/or data/ETL) and working in CI/CD pipelines.
</li><li>Experience testing AI-enabled systems or demonstrated applied AI fluency (prompt/RAG changes, evaluation basics, common failure modes).
</li><li>Experience working in Agile/Scrum teams and collaborating effectively with Engineering and Product.
</li><li>Preferred: Experience with LLM evaluation techniques (golden sets, rubric-based grading, automated scoring, review workflows).
</li><li>Preferred: Familiarity with AI safety and guardrail testing (grounding, PII handling, injection risks).
</li><li>Preferred: Experience with cloud tooling, containers, observability, and release automation.</li></ul>
Why Join Us<ul><li>
Build quality systems for real-world AI-enabled products, including LLM evaluations and reliability guardrails.
</li><li>Own feature-level quality end-to-end: from test strategy to CI/CD quality gates to production readiness.
</li><li>Work with strong cross-functional teams across Engineering, Product, and AI stakeholders in an Agile environment.
</li><li>Grow in modern quality engineering practices: observability, automation frameworks, shift-left testing, and AI evaluation patterns.</li></ul>
Disclaimer: CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, &amp; performance. Female and minorities are strongly encouraged and preferred to apply for the role 
Benefits 
<ul><li><ul><li>
Provident Fund (PF)</li></ul></li><li><ul><li>
Medical Insurance (Pakistan): Coverage includes spouse and parents up to the age of 80.</li><li>
Life Insurance</li></ul></li><li><ul><li>
Performance-Based Increment</li></ul></li><li><ul><li>
32 Paid Leaves (Annual)</li></ul></li><li><ul><li>
Easy Loan Facility</li></ul></li><li><ul><li>
Company-Sponsored Trips</li></ul></li><li><ul><li>
Gym Passport Membership (Access To 250+ Gyms)</li></ul></li></ul></div>

Senior AI QA Automation Engineer

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Overview
We are seeking a Senior Data Scientist with 4+ years of experience to design, develop, and deploy advanced machine learning and forecasting solutions for high-impact business use cases. This role requires strong expertise in predictive analytics, time-series forecasting, statistical modeling, and the ability to translate complex business problems into scalable data-driven solutions.
You will play a key role in building robust, interpretable, and production-ready models that support forecasting, optimization, risk analysis, and strategic decision-making across multiple domains. 
Requirements 
 
Machine Learning &amp; Forecasting<ul><li>
Design, develop, and deploy machine learning models for forecasting, prediction, and optimization use cases.</li><li>
Build and evaluate time-series forecasting solutions using statistical and machine learning approaches.</li><li>
Perform feature engineering including lag variables, rolling statistics, trend decomposition, seasonality analysis, and exogenous variable integration.</li><li>
Develop and benchmark models using techniques such as ARIMA, SARIMA, Prophet, XGBoost, Random Forest, Gradient Boosting, and Neural Networks.</li><li>
Conduct model validation, backtesting, and performance monitoring using appropriate evaluation metrics.</li></ul>
Data Science &amp; Analytics<ul><li>
Analyze large and complex datasets to identify trends, anomalies, and business opportunities.</li><li>
Perform exploratory data analysis (EDA) and statistical investigations.</li><li>
Design experiments and evaluate model performance using sound statistical methodologies.</li><li>
Build business-focused insights and recommendations from analytical findings.</li></ul>
Production &amp; Deployment<ul><li>
Collaborate with engineering teams to deploy machine learning solutions into production environments.</li><li>
Build scalable data pipelines and automated workflows.</li><li>
Implement model monitoring, drift detection, retraining strategies, and version control.</li><li>
Develop dashboards and reporting solutions using tools such as Power BI, Tableau, or Streamlit.</li></ul>
Collaboration &amp; Leadership<ul><li>
Partner with business, product, and engineering stakeholders to define data-driven solutions.</li><li>
Communicate technical findings to both technical and non-technical audiences.</li><li>
Mentor junior team members and contribute to data science best practices.</li><li>
Participate in architecture discussions and support project delivery initiatives.</li></ul>
Requirements<ul><li>
4+ years of hands-on experience in Data Science, Machine Learning, or Predictive Analytics.</li><li>
Strong experience with time-series forecasting and predictive modeling.</li><li>
Proficiency in Python and libraries such as Pandas, NumPy, Scikit-learn, and XGBoost.</li><li>
Experience with forecasting techniques such as ARIMA, SARIMA, Prophet, or similar methods.</li><li>
Strong understanding of statistics, hypothesis testing, feature engineering, and model evaluation.</li><li>
Experience with model validation, cross-validation, and performance metrics (MAPE, MAE, RMSE).</li><li>
Experience working with SQL and large-scale datasets.</li><li>
Familiarity with data pipelines, experimentation frameworks, and analytical environments such as Jupyter or Databricks.</li><li>
Strong communication skills with the ability to present technical insights to business stakeholders.</li><li>
Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. 
</li></ul>
Preferred/Advance Skills<ul><li><ul><li>
Experience in multi-entity and multi-currency financial forecasting environments.
</li><li>Familiarity with cloud ML platforms (AWS SageMaker, Azure ML, GCP AI).
</li><li>Experience implementing CI/CD and MLOps frameworks.
</li><li>Exposure to probabilistic forecasting and Bayesian modeling approaches.
</li><li>Knowledge of financial regulations, treasury workflows, and corporate finance processes.</li></ul></li></ul>
Why Join Us<ul><li>
Work on high-impact financial forecasting problems that directly influence strategic decision-making.
</li><li>Lead cutting-edge machine learning initiatives in a mission-critical environment.
</li><li>Collaborate with cross-functional leadership across finance, risk, and engineering.
</li><li>Opportunity to architect scalable ML systems from research to enterprise production.
</li><li>Be part of a culture that values innovation, ownership, and technical excellence.
</li></ul>Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Scientist

<div>About the Company
Aligned with Saudi Arabia&rsquo;s Vision 2030, we harness the Kingdom&rsquo;s rapidly developing talent and technological advancements to support economic diversification and drive industry transformation through cutting-edge AI, computer vision, and automation. Our solutions are strategically designed to empower startups and enterprises with a competitive edge by leveraging local talent and infrastructure, advancing the region&rsquo;s human capital development. Through ethical innovation and transparency-focused partnerships, we actively contribute to the Kingdom&rsquo;s ambitious objectives, championing a high-tech, sustainable future.
About the Role
We are seeking an experienced Agile Coach to drive Agile transformation across teams and departments. The ideal candidate will coach leaders, Scrum Masters, Product Owners, and cross-functional teams to improve Agile maturity, delivery effectiveness, collaboration, and continuous improvement. This role requires a strong understanding of Agile frameworks, organizational change management, and leadership coaching.
Key Responsibilities<ul><li>
Coach and mentor teams, Scrum Masters, Product Owners, and leaders on Agile principles and practices.
</li><li>Drive Agile adoption and continuous improvement across multiple teams.
</li><li>Facilitate Agile ceremonies, workshops, and retrospectives.
</li><li>Identify and remove organizational and team-level impediments.
</li><li>Support teams in improving planning, delivery, collaboration, and predictability.
</li><li>Partner with leadership to align Agile practices with business objectives.
</li><li>Assess Agile maturity and recommend improvement initiatives.
</li><li>Develop and deliver Agile training and coaching programs.
</li><li>Promote a culture of transparency, accountability, and continuous learning.
</li><li>Track Agile metrics and use data to drive process improvements.</li></ul> 

Requirements 
<ul><li>
Bachelor's degree in Computer Science, Business Administration, Engineering, or a related field.
</li><li>6+ years of experience in Agile environments, including coaching, Scrum Master, Delivery Management, or related roles.
</li><li>Proven experience leading Agile transformations across multiple teams or departments.
</li><li>Deep understanding of Agile frameworks such as Scrum, Kanban, Lean, XP, SAFe, LeSS, or Scrum@Scale.
</li><li>Strong facilitation, mentoring, and stakeholder management skills.
</li><li>Experience coaching both technical and non-technical teams.
</li><li>Excellent communication and interpersonal skills.
</li><li>Ability to influence leadership and drive organizational change.</li></ul>
Why Join Us<ul><li>
Work directly with leading FinTech partners and Open Banking programs in the region.</li><li>
Gain hands-on experience with advanced API gateway tools like IBM API Connect and DataPower.</li><li>
Be part of high-impact integration and onboarding initiatives shaping the financial ecosystem.</li><li>
Collaborate with cross-functional teams across Product, Security, Operations, and Engineering.</li><li>
Grow your career in FinTech integrations, technical onboarding, and Open Banking architecture roles.</li></ul>
Disclaimer 
CodeNinja is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, and performance. Female and minorities are strongly encouraged and preferred to apply for the role.</div>

Agile Coach

Join CodeNinja and explore 3   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.

CodeNinja

About Company

Senior AI QA Automation Engineer

Data Scientist

Agile Coach