Data Scientist Jobs

About the role As a Data Scientist, you will play a key role in transforming complex data into actionable insights that drive business value for our clients. Working within a global delivery model, you will collaborate closely with engineering teams and stakeholders to design, build, and deploy advanced analytics and machine learning solutions. This is an exciting opportunity to work with cutting-edge technologies in a collaborative, fast-paced environment, contributing to high-impact projects across multiple industries. Key responsibilities * Analyse and interpret large, complex datasets from multiple sources * Apply data mining, machine learning, and statistical techniques to solve business problems * Design and build predictive models and algorithms * Identify valuable data sources and automate data collection processes * Pre-process structured and unstructured data for analysis * Discover patterns, trends, and insights to support decision-making * Develop and present insights using data visualisation tools * Collaborate with client and internal engineering teams to integrate models into applications * Recommend data-driven solutions and strategies to business challenges Essential experience & skills * Proven experience in a Data Scientist or similar role * Strong knowledge of machine learning algorithms and techniques * Proficiency in Python or R * Experience with data science libraries/tools (e.g. NumPy, Weka, MatLab) * Experience with data visualisation tools and query languages * Experience working with NoSQL databases (MongoDB, Cassandra, HBase) * Strong experience handling structured and unstructured data. Core Competencies * Strong analytical and statistical problem-solving skills * Solid foundation in mathematics and statistics * Ability to translate complex data into business insights * Excellent communication skills, with the ability to engage stakeholders at all levels * Critical thinking and a proactive, solution-oriented mindset * Collaborative team player with strong interpersonal skills

Job Purpose As a Research Scientist specializing in Computer Vision your role will be crucial in advancing cutting-edge computer vision technologies and contributing to the development of intelligent systems. You will be responsible for a wide range of tasks encompassing research, development, and implementation of Computer Vision solutions, with a particular emphasis on Python coding, machine learning techniques, and deep learning methodologies. Key Responsibilities Lead the research of technology for improving efficiency in Computer Vision models while performing target capabilities or supporting many capabilities, such as novel architectures and improved pre-training. Design and implement Computer Vision algorithms for model training and prediction, leverage ML infrastructure, and contribute to model optimization and data processing, using Pytorch or other frameworks. Integrate and improve Computer Vision algorithms to work with other models such as LLMs Identify defined problems/gaps in existing technology and engage other Research teams, stakeholders and leaders to expand efficient Computer Vision technology. Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. Write up results in design documents, technical reports, and papers for publication. Represent MBZUAI at industry conferences and events, showcasing the institution’s cutting-edge HPC and deep learning capabilities and establishing MBZUAI as a global leader in AI research and innovation. Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives. Academic Qualifications Minimum: Master’s in Computer Science, a related technical field, or equivalent practical experience. Preferred: PhD or equivalent research experience in Computer Vision experience. Minimum Professional Experience Experience with state-of-the-art Gen AI techniques and models (e.g., LLMs, Multi-Modal, Large Vision Models) or with Gen AI-related concepts (e.g., language modeling, computer vision). Knowledge of algorithms, including one or more of the following: imaging, computer vision, computer graphics, or parallel computation. Experience with software development in one or more programming languages (e.g. Python, C++), and with data structures/algorithms. Excellent problem-solving and troubleshooting skills to address complex technical challenges. Effective communication and collaboration skills to work with cross functional teams. Ability to effectively navigate ambiguity. Preferred Professional Experience Knowledge of modern deep learning techniques and Generative AI for photography. Experience leading research efforts and influencing other researchers. Experience with efficiency, modularity or related topics for LLMs. Experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Experience with design and optimization of algorithms in performance constrained environments (e.g., mobile). Experience in innovative research, contributing to research communities including publishing in forums (e.g., ACL, EMNLP, NAACL, EACL, COLING, ICLR, AAAI, NeurIPS).

Job Description About The Company AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem. Overview AIQ is looking for a Senior Full Stack Developer to join its digital and AI solutions team, building next-generation applications that support the transformation of oil and gas operations. The role involves developing scalable, cloud-native full-stack systems that integrate advanced AI capabilities into real-world industrial use cases. You will work across backend and frontend technologies to deliver high-performance applications, while collaborating closely with AI engineers, data scientists, and domain experts to translate complex requirements into robust, production-ready solutions. Responsibilities • Design, develop, and maintain scalable full-stack applications supporting AI-driven solutions for oil & gas operations. • Build robust backend services and APIs using modern frameworks (e.g., Python/FastAPI, Node.js) following microservices and event-driven architecture. • Develop responsive and performant frontend applications using modern JavaScript frameworks (React, Angular, or equivalent). • Integrate AI/ML services and models (developed by data science teams) into production-grade applications. • Work with large-scale structured and unstructured data through APIs, data services, and integration layers. • Collaborate closely with AI engineers, data scientists, and domain experts to translate requirements into scalable digital products. • Design and implement cloud-native solutions using AWS, Azure, or GCP, including containerized deployments (Docker, Kubernetes). • Ensure application performance, scalability, security, and reliability across distributed systems. • Contribute to system design, architecture discussions, and engineering best practices. • Participate in CI/CD automation, DevOps workflows, and continuous improvement of delivery pipelines. • Support integration with industrial systems and data sources (e.g., IoT, SCADA, enterprise platforms). Qualifications • Bachelor’s degree in Computer Science, Engineering, or related field (Master’s preferred). • 5–8 years of experience in full-stack software development. • Strong experience in backend development using Python (FastAPI, Flask, or similar) and/or Node.js. • Proven experience building frontend applications using React, Angular, or similar SPA frameworks with TypeScript. • Solid understanding of microservices architecture, RESTful APIs, and distributed systems design. • Experience working with relational and NoSQL databases (PostgreSQL, MongoDB, etc.). • Hands-on experience with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). • Experience with CI/CD pipelines, Git-based workflows, and modern DevOps practices. • Familiarity with integrating AI/ML services or data-driven APIs into applications (consuming—not building models). • Understanding of event-driven architecture and messaging systems (e.g., Kafka, RabbitMQ). • Strong problem-solving skills with ability to work independently in agile environments. • Experience in oil & gas, energy, or industrial digitalization environments is a strong advantage. What Working At AIQ Offers Culture: Encouraging initiative, work in an environment that is fast-paced and varied, surrounded by talented peers from around the wor

About the Role Our Data Science team solves complex problems with smart, practical solutions. Data Scientists and Analysts work directly with product teams to uncover insights, guide decisions, and improve how customers experience Revolut. They do this by delivering smart, scalable solutions that move the business forward. We’re looking for Data Scientists to help us shape the future of financial services. It’s a challenging task, but you’ll be part of a strong and supportive team. You’ll be collaborating with experienced professionals in Product, Design, Data Science, and Engineering on impactful projects that drive our company’s growth. Up to shape what's next in finance? Let's get in touch. What You’ll Be Doing Improving existing algorithms Building new PoCs Delivering data-driven solutions to enhance product performance Researching and developing PoCs into scalable data products Collaborating with product owners, engineers and data scientists to continually solve complex data problems What You'll Need Experience building and leading a data science team within a scaling organisation Bachelor's/Master's/PhD in STEM (Mathematics, Computer Science, Engineering) Solid knowledge of data science tools including Python, SQL and production frameworks Demonstrated knowledge of probability and statistics fundamentals The ability to think strategically and diagnose problems accurately Experience productionising research into scalable solutions Excellent communication and collaboration skills to partner with Product Owners and senior stakeholders Nice to have Advanced degree in a quantitative discipline (e.g., Masters or PhD) Experience with additional programming languages such as Java, Scala or C++ Experience working in anti-fraud functions Experience working at a large-scale global tech company Participation in Olympiad competitions in Physics, Mathematics, Economics or Programming at school or university level #J-18808-Ljbffr

​ Discover the opportunity We are hiring a Director of Enterprise Applications and Digital Platforms to join a prominent research entity based in Abu Dhabi. Our client is a hub for leading scientists, engineers, and researchers from across the globe, focusing on turning complex roadblocks into pioneering prototypes that move society forward. This senior leadership role is responsible for driving integrated business solutions across the organization. You will focus on optimizing processes, enhancing operational efficiency, and spearheading a comprehensive digital transformation program. ​ Discover the role As the Director of Enterprise Applications and Digital Platforms, you will lead the strategy, design, and execution of technology solutions aligned with overarching organizational goals. You will champion the introduction of intelligent automation, manage cross functional workflows, and shape the enterprise data roadmap. This position requires a strategic thinker who can bridge the gap between complex research requirements and enterprise grade technology infrastructure. ​ Discover the responsibilities • Lead the digital transformation program to introduce intelligent automation and drive productivity. • Translate business, research, and operational challenges into analytics driven and intelligence enabled solutions. • Contribute to the enterprise data roadmap, ensuring alignment with digital transformation priorities. • Lead the design and delivery of analytics solutions including predictive analytics and executive dashboards. • Deploy advanced intelligence powered solutions including generative use cases, intelligent assistants, and decision support tools. • Oversee the implementation and continuous enhancement of enterprise grade CRM and ERP platforms. • Develop and manage relationships with internal stakeholders and external partners to ensure successful project delivery. • Perform cost benefit analysis, total cost of ownership evaluations, and make buy recommendations on digital solutions. • Manage budgets, timelines, and resources for large scale digital initiatives. • Mentor a team of technology professionals, fostering a culture of collaboration and continuous improvement. ​ Discover the requirements • Bachelor degree in business, information systems, or a related field, with a master degree preferred. • Ten or more years of experience in business solutions, process improvement, or technology leadership roles. • Proven track record of successfully leading large scale integrated system implementations. • Strong experience with enterprise platforms such as SAP S4HANA, MS Dynamics365, Salesforce, Ariba, or Oracle Fusion Extensive experience in data analysis and visualization using business intelligence platforms including SAP Analytics Cloud and MS Power BI Familiarity with popular artificial intelligence ecosystems and models including OpenAI, Anthropic, and Google Gemini Deep understanding of business process modeling, system integration, and data management. • Exceptional communication and stakeholder management skills with experience driving change across complex environments. ​

Wynn Al Marjan Island seeks a Data Scientist to join their Database Marketing team. The role involves building and optimizing predictive models for marketing campaigns, preparing datasets, and performing ad hoc analyses to support campaign decisions.The ideal candidate holds a Master’s or Bachelor’s degree in Data Science or a related field, with over 2 years of experience. Proficiency in Python and SQL is essential, alongside a solid understanding of Machine Learning techniques and statistical concepts. #J-18808-Ljbffr

About AIQ AIQ is a joint venture between ADNOC and Group 42, focused on developing artificial intelligence technologies for the oil and gas industry in the United Arab Emirates. AIQ develops and commercializes AI products and applications, providing end-to-end solutions by leveraging its data, cloud, and talent to reduce costs and generate revenue for clients. AIQ fosters an innovative and entrepreneurial spirit, providing opportunities to work with massive datasets, an AI infrastructure powered by the latest NVIDIA GPU cloud computing platform, and access to limitless computing, storage, and network resources. Responsibilities • Develop next generation AI-enabled software products for oil & gas clients. • Translate business objectives into actionable analyses and insights. • Formalize Oil & Gas problems into AI problems. • Contribute to the solution design, in collaboration with other data scientists, engineers and SMEs. • Perform data preparation: Extract, clean, audit and preprocess data for analysis. • Conduct Data QC: Analyze quality of data produced and proactively develop solutions to data quality issues. • Contribute to the creation of large-scale labeled databases leveraging our annotation team. • Develop data-driven algorithms and prototypes for classification, regression, anomaly detection, failure prediction and optimization. • Evaluate proposed AI solutions with respect to the project objectives. • Keep up to date with the latest technology trends. • Apply state-of-the-art AI techniques to improve existing solutions. • Deploy and maintain AI models in production. • Help prepare and visualize interim and final results of analyses. • Communicate ideas, plans, and results, effectively via oral presentations and written reports. Educational Requirements • Master’s degree or Ph.D. in Computer Science, Applied Mathematics, Statistics, or any AI-related field. • Western education is mandatory. Requirements • Very strong mathematical and analytical skills. • Results-driven and proactive personality. • Excellent communication skills. • Ability to build AI models and to find impactful and actionable recommendations based on the model. • Ability to manage ambiguity, take initiative, and hit the ground running. Experience • 3+ years of experience demonstrating depth and breadth in state-of-the-art machine-learning, deep-learning, computer-vision, natural language processing, signal processing, or other AI technologies. • Relevant experience in industry or academia. • Demonstrated experience in developing core AI algorithms in industry or for real-world problems. • Demonstrated relevant experience in implementing robust and scalable industrial AI solutions. • Experience in the oil & gas exploration & production company or oil field services company (e.g., ExxonMobil, Chevron, Total, Shell, BP, Schlumberger, Halliburton, Baker Hughes) is a plus. Key Skills • Strong background in applied mathematics, algorithms and coding. • Proficient in statistics, machine-learning or deep-learning. • Strong background in AI application to computer-vision, NLP or signal-processing problems. • Proficient in at least one development language (e.g., Python), one data analysis library (e.g., Pandas) and either a deep-learning framework (e.g., Pytorch, Tensorflow) or a machine-learning library (e.g., Scikit-learn). • Theoretical and at least practical knowledge of popular machine-learning algorithms (PCA, Support Vector Machines, RandomForest, XGBoost, etc.) or deep-learning networks (RNNs, LSTMs, CNNs, shallow networks, GANs, Transformers, etc.). • Hands-on with useful development tools (PyCharm, Jupyter, Docker, Git, etc). • Excellent communication, verbal and written skills.

# Data Scientist, Etihad AirwaysData ScientistUnited Arab Emirates, Abu DhabiApril 27, 2026Full TimeApply Now### Job DescriptionThe Data Scientist at Etihad Airways uses advanced statistical methods together with machine learning techniques to improve airline operations. The role requires analysis of complex datasets, development of predictive models, and process optimization to achieve efficiency gains and improved reliability and customer experience, while the team works together with other departments to create innovative solutions that result in measurable operational improvements.**Job ID**: NA**Date Posted**: NA**Expiration Date:** NA**Apply:** Click Here**Main Duties*** Data examination to discover insights and find practical solutions from their analysis of extensive complex data sets.* Predictive models and operational algorithms which they implement to solve aviation industry challenges.* Continuously refine and optimize machine learning models for improved accuracy, scalability, and automation.* Collaborate with cross-functional teams to co-create AI-driven solutions delivering measurable business value.* Communicate findings, insights, and recommendations effectively to both technical and non-technical stakeholders.**Essential Qualifications*** Bachelor’s degree or higher degree in Data Science Computer Science Aviation Engineering meets essential educational requirements for this position.* Possess 5 to 7 years of experience working as a Data Scientist or in a related position with a preference for candidates who have aviation industry experience.* Demonstrates programming proficiency in Python and R and Java while showing expertise in data analysis libraries such as pandas and numpy and scikit-learn.* Demonstrates a solid grasp of machine learning algorithms which includes regression and classification and clustering and neural networks.* Demonstrates proficiency in data visualization tools which include Tableau and Power BI and matplotlib while exhibiting strong problem-solving abilities.**Preferred Qualifications*** Expertise in aviation operations together with specific knowledge about challenges and opportunities present in the aviation industry.* Experience using machine learning to solve actual business operational issues.* Demonstrates exceptional focus on tasks while being able to function both as an independent worker and as part of a team.* Possesses excellent communication abilities together with strong interpersonal skills which enable him to work effectively with different teams.* Demonstrates capacity to create new solutions by maintaining knowledge about current developments in data science and artificial intelligence.## Job Overview* Date Posted April 27, 2026* Location United Arab Emirates, Abu Dhabi* Expiration date May 27, 2026* Gender Both* Qualification Bachelor Degree #J-18808-Ljbffr

Description 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. DeepLight AI is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. Based in the UAE, we partner with organizations across diverse sectors—with a deep-rooted expertise in financial services and banking—to bridge the gap between complex data and actionable business strategy. At DeepLight, we don't believe in "off-the-shelf" fixes. We deliver tailored AI solutions designed to integrate seamlessly into existing enterprise architectures, ensuring that innovation is both scalable and secure. From building robust data foundations to deploying sophisticated AI platforms, we empower our clients to lead in an increasingly automated world. The senior manager – AI security product owner is a senior delivery position within DeepLight consultancy, embedded directly within a major banking client. This role functions as the strategic owner of the AI security product lifecycle, defining the roadmap, feature requirements, and delivery schedules for tools and frameworks designed to protect the bank’s AI/ML ecosystem. Serving as the primary interface between technical security squads and business units, this position requires a balance of Agile product management expertise, technical AI security knowledge, and the professional diplomacy necessary to align senior stakeholders within a Tier 1 financial institution. Your responsibilities in this role include: • Defining, maintaining, and executing the long-term vision and product roadmap for the bank's AI security tools, platforms, and capabilities. • Translating complex AI security requirements into functional user stories, maintaining a prioritized product backlog that balances technical debt with business utility. • Leading cross-functional engineering and data science squads through Agile sprints, ensuring clear definition of done and timely delivery of features. • Coordinating closely with senior business leaders, risk officers, and technical engineering leads to ensure product features meet commercial objectives and security requirements. • Driving the internal onboarding and adoption of AI security products across the bank's broader development, data science, and security teams. • Representing DeepLight on the ground by modelling exceptional delivery standards, technical integrity, and proactive problem-solving for the client. Coaching and management Senior leaders at DeepLight AI are responsible for delivering results and developing people. Utilizing coaching skills to encourage and support growth whilst balancing the requirement for excellence in results. Coaching • Growing future leaders through mentorship and feedback. • Empowering your teams to think independently and learn continuously. • Fostering a culture of curiosity, reflection, and resilience. Management • Aligning strategy with execution and ensuring delivery excellence. • Setting clear goals and objectives, driving accountability, and supporting performance. • Leading with transparency, integrity, and trust. 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 "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. Requirements For this role, we need you to have: • A minimum of 6 years in technical product management or delivery lead roles, with a focus on cybersecurity, data platforms, or AI/ML tools. • Practical experience operating within a regulated banking environment, ensuring product delivery complies with institutional risk and security standards. • Prior experience in a client-facing professional services or consultancy capacity, managing project delivery and client expectations. • Documented experience working directly alongside security engineers, data scientists, and enterprise architects to ship software. • Proven capability to manage software or platform products through the full lifecycle from conception to operational hand-off. • Foundational understanding of the tools and methodologies used to secure AI pipelines, large language models (LLMs), and cloud data environments. • Be a master of Agile, Scrum, or Kanban methodologies, including experience with enterprise planning tools (e.g., Jira, Azure DevOps). • The ability to manage conflicting priorities from senior stakeholders, transforming ambiguous requests into clear technical deliverables. • Capacity to articulate the technical and business value of security initiatives to both engineering teams and non-technical business leaders. It would also be great if you have: • Agile/Scrum certifications (e.g., CSPO, PMI-ACP, SAFe POPM) or relevant security/cloud credentials. • A conceptual understanding of MLOps pipelines, containerization (Docker, Kubernetes), and cloud infrastructure (AWS/Azure). • Understanding of modern security principles like Zero Trust and defense-in-depth as they apply to data and model architectures. Benefits The benefits you'll enjoy as part of this role include: • Competitive salary • Comprehensive personal health insurance • Visa sponsorship for the successful individual • Professional development and certification support • Subscription reimbursement relating to your role • Opportunity to work on cutting-edge AI projects • Monthly employee incentive program • Career advancement opportunities in a rapidly growing AI company 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.

Inception, a G42 company, is the region’s leading innovator of AI-powered domain-specific as well as industry-agnostic products, built on a rich heritage of research and development. Within the G42 ecosystem, Inception functions as the core intelligence layer – transforming data and compute infrastructure into real-world, applied AI solutions. Beyond its commercial endeavors, Inception is committed to creating positive societal impact. For more information, please visit www.inceptionai.ai Overview: Inception is seeking an accomplished Director of R&D in Applied AI, with a proven track record of directing multi-program applied research portfolios, to lead our applied AI research function. This role offers the rare opportunity to set the technical direction across multiple flagship programs in parallel — including a foundation language model family and multi-agent and agentic systems research— while providing oversight to high-stakes client delivery tracks that bring those research outputs into production. Responsibilities: In the Director of R&D role you will own the active applied research portfolio of the function, set its technical direction, and represent it at executive and Board level. You will direct concurrent flagship programs in foundation language models and multi-agent systems, while overseeing client delivery tracks that productize those research outputs. You will be the named technical arbiter on release, IP and prioritization decisions, and the senior point of contact for our most strategic external partners. o Own the active R&D portfolio end-to-end — research roadmap, milestones, resource allocation and quarterly reviews. o Direct the foundation language model program end-to-end — pre-training, post-training (instruction tuning, alignment), evaluation (language quality, multilingual performance, and safety posture), and release. o Provide oversight to high-stakes client and delivery tracks and run regular reviews with R&D team covering progress, blockers, and re-allocation decisions across active programs. o Represent Inception R&D in CEO-, group-executive- and Board-level forums, with the ability to make impactful presentations. o Own the most strategic external partnerships academic research partners, frontier-model labs, the hyperscaler partnership cadence, sister-organization safety teams, and evaluation and red-teaming vendors — and lead joint workstreams to closure. o Lead a team of applied scientists and senior applied scientists through technical mentorship, performance and growth, hiring, and defining team shape and talent strategy. o Set and enforce R&D quality standards across projects and teams. Qualifications: The criteria for your success would include the maturity of the R&D portfolio you direct, foundation-model releases shipped under your sign-off, the health and growth of the Applied Science team, the depth of strategic partnerships sustained, and the readiness of research outputs for executive and Board consumption. To qualify, you must have o M.Sc. or Ph.D. degree in Computer Science, Engineering, or an AI-related field. Specialization in NLP, large language models, or applied ML is highly desirable. o Minimum 10 years of experience in AI / ML, with at least 4 years in a technical leadership or director-level role directing multiple concurrent research programs. o Demonstrated ownership of at least one production foundation-model release end-to-end. o Strong publication record in major NLP / ML venues, or an equivalent product-driven research and IP-filing track record. o Production experience with Arabic or other lower-resource-language NLP at scale. o Experience deploying AI Models into regulated or government contexts, including content moderation and policy-aligned guardrails. o Hands-on familiarity with agentic-AI architectures — planning, tool use, multi-agent simulation. o Excellent written and verbal communication. What We Look For If you are a performance-driven, inquisitive mind with the agility to adapt to ambiguity, you will fit right in. You should be eager to explore opportunities to build meaningful collaborations with stakeholders and aspire to create unique customer-centric solutions. Bias for action and a passion to conquer new frontiers in the AI space is at the heart of the Inception community. What Working At Inception Offers Culture: An open, diverse and inclusive environment with a global vision that encourages personal growth and focuses on ground-breaking, industry-first innovations. Career: Outstanding learning, development & growth opportunities via structured training programs and innovative, high-tech projects. Rewards: A competitive remuneration package with a host of perks including healthcare, education support, leave benefits and more. If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.