Qureos Mentor

Inception

<div>
 
 Overview
 
 
 
 As a Lead DevSecOps Engineer at Inception, you will be responsible for integrating security practices into the DevOps lifecycle to ensure our AI products are secure, reliable, and compliant. Your role is crucial in bridging the gap between development, security, and operations, fostering a culture of security-first mindset while maintaining high efficiency and automation. You will collaborate with various teams to implement security measures, automate processes, and ensure the seamless deployment of AI solutions. You are expert in development lifecycle with focus on safe secure release of product codes and lead the team, project, product to excellence. You are constant self-learner with Ai agentic automation skilled to constantly contribute for efficiency.
 
 
 Inception, a G42 company, is the region&rsquo;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 &ndash; 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
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Lead a product, project, people practicing industry best practices in GenAi product build.
 </li>
 <li>
 Integrate security practices into the DevOps lifecycle, ensuring that security is a core component of the development, deployment, and operational processes.
 </li>
 <li>
 Design, implement, and maintain CI/CD pipelines that incorporate automated security testing and compliance checks.
 </li>
 <li>
 Collaborate with development, operations, and security teams to identify and address security vulnerabilities and risks.
 </li>
 <li>
 Implement and manage infrastructure as code (IaC) to ensure consistent and secure infrastructure deployment.
 </li>
 <li>
 Develop and maintain automation scripts and tools to streamline security processes and enhance efficiency.
 </li>
 <li>
 Monitor and analyze system performance, security events, and logs to detect and respond to security incidents promptly.
 </li>
 <li>
 Conduct regular security assessments, audits, and penetration testing to ensure the integrity and security of AI solutions.
 </li>
 <li>
 Stay updated with the latest security threats, vulnerabilities, and best practices, incorporating them into the DevSecOps processes.
 </li>
 <li>
 Provide guidance and training to development and operations teams on security best practices and tools.
 </li>
 <li>
 Ensure compliance with industry standards and regulatory requirements, implementing necessary controls and documentation.
 </li>
 <li>
 Foster a culture of continuous improvement and security-first mindset within the engineering and operations teams.
 </li>
 <li>
 Ensure the alignment of DevSecOps goals with the company's strategic objectives, driving the secure and efficient delivery of AI products.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Programming and Scripting Languages: Proficiency in Python, Bash, PowerShell, or Ruby for automation and scripting.
 </li>
 <li>
 CI/CD Tools: Experience with continuous integration and continuous deployment tools such as GitHub,Jenkins, GitLab CI/CD, CircleCI, or Travis CI.
 </li>
 <li>
 Configuration Management: Knowledge of configuration management tools like Ansible, Puppet, or Chef.
 </li>
 <li>
 Containerization and Orchestration: Proficiency in Docker and Kubernetes for managing containerized applications.
 </li>
 <li>
 Cloud Platforms: Familiarity with cloud services such as AWS, Microsoft Azure, and Google Cloud Platform (GCP).
 </li>
 <li>
 Security Tools: Experience with security tools and practices including vulnerability scanners (e.g., Nessus, Qualys), SIEM systems, and compliance frameworks.
 </li>
 <li>
 Infrastructure as Code (IaC): Proficiency in IaC tools like Terraform/Bicep or AWS CloudFormation.
 </li>
 <li>
 Monitoring and Logging: Knowledge of monitoring and logging tools such as Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), or Splunk.
 </li>
 <li>
 Version Control: Proficiency in Git and platforms like GitHub or GitLab for version control and collaboration.
 </li>
 <li>
 Networking: Understanding of networking concepts, protocols, and security measures.
 </li>
 <li>
 Proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 
 
 </li>
 </ul>
 
 Skills And Attributes For Success
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Cybersecurity, Engineering, or a related field.
 </li>
 <li>
 Extensive experience in DevSecOps, cybersecurity, or a related field.
 
 
 </li>
 </ul>
 
 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 &amp; 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.
 
</div>

Lead Engineer - DevSecOps

<div>
 
 Overview
 
 
 
 As the Infrastructure Architect at Inception, you will play a pivotal role in architecting, developing, and optimizing infrastructure for Inception&rsquo;s advanced AI platforms. With a robust background in cloud and on-premises infrastructure design, you&rsquo;ll focus on ensuring the scalability, security, and high performance of our AI systems. Collaborating closely with engineering and operations teams, you&rsquo;ll work to enhance the infrastructure that supports AI workloads, with an emphasis on cloud optimization, networking, and storage.
 
 
 Inception, a G42 company, is the region&rsquo;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 &ndash; 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
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Architect Infrastructure Solutions: Design and develop scalable, secure, and highly available infrastructure that supports Inception&rsquo;s AI platforms and applications.
 </li>
 <li>
 Cloud &amp; On-Premises Architecture: Develop cloud-based and on-premises infrastructure to meet AI/ML workload requirements for performance, scalability, and security.
 </li>
 <li>
 Collaboration with Key Teams: Work closely with engineering, DevOps, and product teams to optimize infrastructure for AI training, inference, and data processing.
 </li>
 <li>
 High Availability &amp; Disaster Recovery: Build high availability and disaster recovery solutions to ensure the resilience of critical AI platforms.
 </li>
 <li>
 Networking Architecture: Design and implement robust networking solutions for secure and reliable connectivity across AI systems.
 </li>
 <li>
 Automation &amp; Infrastructure as Code: Champion the use of automation and IaC, leveraging tools like Terraform, Ansible, and Kubernetes for streamlined infrastructure deployment and management.
 </li>
 <li>
 Cloud Efficiency &amp; Cost Management: Implement best practices for cloud resource efficiency and cost-effectiveness while maintaining stringent security standards.
 </li>
 <li>
 Technology Evaluation &amp; Integration: Continuously assess and integrate new technologies to enhance infrastructure capabilities in storage, networking, and cloud-native services.
 </li>
 <li>
 Compliance &amp; Security: Ensure infrastructure adheres to regulatory and security requirements, focusing on data privacy, encryption, and access control.
 </li>
 <li>
 Technical Guidance: Provide mentorship and technical leadership to the infrastructure team, promoting best practices in infrastructure quality and efficiency.
 </li>
 <li>
 Industry Trends &amp; Innovation: Stay current on industry advancements and drive infrastructure innovation to support evolving AI and technology trends.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Qualifications &amp; Requirements:
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 
 
 </li>
 </ul>
 
 To qualify for the role you must have
 
 
 
 <ul>
 <li>
 Experience: Minimum of 12 years in infrastructure architecture, cloud platforms, or systems engineering, with extensive experience in large-scale, mission-critical environments.
 </li>
 <li>
 Proven Cloud Expertise: Solid track record in architecting and managing infrastructures (AWS, Azure, GCP) for AI/ML workloads with a focus on scalability and resilience.
 </li>
 <li>
 Technical Proficiency: Expertise in cloud computing, networking, and storage, and experience with IaC tools like Terraform, Ansible, or CloudFormation.
 </li>
 <li>
 Containerization &amp; Orchestration: Proficient in Docker and Kubernetes, with experience deploying and managing AI/ML workloads.
 </li>
 <li>
 Networking &amp; Security Knowledge: Advanced understanding of networking protocols, VPNs, firewalls, and security best practices for hybrid and cloud environments.
 </li>
 <li>
 Storage Systems: Familiarity with storage solutions for AI/ML applications, including distributed storage and high-performance computing architectures.
 </li>
 <li>
 Resilience Strategies: Strong background in designing disaster recovery, business continuity, and high-availability plans.
 </li>
 <li>
 Cross-Functional Collaboration: Ability to work with DevOps, software engineering, and security teams to align infrastructure goals.
 </li>
 <li>
 Be proficient in integrating AI agents and Experience leveraging AI-assisted orchestration and autonomous agents to streamline infrastructure management, automate security compliance, and drive operational excellence.
 </li>
 </ul>
</div>

Infrastructure Architect

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 6 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 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 &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 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.
</div>

Applied Scientist

<div>
 
 Overview
 
 
 
 As a Business Analyst, you will be instrumental in ensuring that Inception&rsquo;s AI solutions meet the operational and strategic needs of our clients. This role requires strong analytical skills, client-focused problem-solving abilities, and expertise in understanding and translating client requirements into actionable insights for cross-functional teams. Working closely with customer success and delivery teams, you will support the Director - Customer Success in optimizing solution delivery, enhancing client satisfaction, and improving overall service quality.
 
 
 
 About Inception
 
 
 
 Inception, a G42 company, is the region&rsquo;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 &ndash; 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.
 
 
 
 Responsibilities
 
 
 
 
 Client Requirements Gathering &amp; Analysis
 
 
 
 <ul>
 <li>
 Collaborate with clients to understand their business goals, challenges, and requirements, ensuring solutions are aligned with their strategic objectives.
 </li>
 <li>
 Conduct in-depth business analysis to translate client needs into technical requirements, workflows, and specifications for development and delivery teams.
 </li>
 <li>
 Document and maintain a detailed record of client requirements, use cases, and deliverables, providing clarity and direction throughout the solution lifecycle.
 
 
 </li>
 </ul>
 
 Data Analysis &amp; Insights Generation
 
 
 
 <ul>
 <li>
 Analyze client and operational data to identify trends, performance gaps, and opportunities for improvement, supporting data-driven decision-making.
 </li>
 <li>
 Generate actionable insights from data analysis to recommend enhancements in delivery processes and client engagement practices.
 </li>
 <li>
 Develop reports, dashboards, and visualizations to communicate key findings and progress updates to internal stakeholders and clients.
 
 
 </li>
 </ul>
 
 Process Improvement &amp; Optimization
 
 
 
 <ul>
 <li>
 Identify areas for process improvement within the delivery organization, proposing and implementing changes to enhance efficiency, quality, and client satisfaction.
 </li>
 <li>
 Collaborate with cross-functional teams to streamline delivery processes, enabling scalability and consistency in client experiences.
 </li>
 <li>
 Support the Director - Customer Success in implementing best practices for project management, documentation, and communication.
 
 
 </li>
 </ul>
 
 Cross-functional Collaboration &amp; Stakeholder Management
 
 
 
 <ul>
 <li>
 Act as a liaison between client-facing and technical teams, ensuring clear communication and alignment on client requirements and delivery timelines.
 </li>
 <li>
 Work closely with product, engineering, and customer success teams to ensure smooth delivery and continuous improvement of solutions.
 </li>
 <li>
 Assist in coordinating workshops, training sessions, and regular client meetings, gathering feedback and documenting outcomes for continuous improvement.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Skills and attributes for success
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Finance, Computer Science, or a related field; advanced degree or certification in business analysis is a plus.
 </li>
 <li>
 3+ years of experience as a business analyst or in a similar role within a delivery-focused or technology-driven environment.
 </li>
 <li>
 Strong analytical and problem-solving skills, with a proven track record of translating client requirements into actionable insights.
 </li>
 <li>
 Excellent written and verbal communication skills, with the ability to effectively collaborate with both technical and non-technical stakeholders.
 </li>
 <li>
 Proficiency in data analysis and visualization tools (e.g., Excel, Tableau, Power BI) and familiarity with project management tools (e.g., Jira, Asana).
 </li>
 <li>
 Knowledge of AI, machine learning, or SaaS products is a plus, as well as experience in the financial or technology sectors.
 
 
 </li>
 </ul>
 
 Additional Preferences
 
 
 
 <ul>
 <li>
 Consultancy background
 </li>
 <li>
 Goovernment experience in the region
 </li>
 <li>
 ERP / Finance transformation / Procurement / Human Capital also would be an additional bonus
 
 
 </li>
 </ul>
 
 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 &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 
 
 Work-Life:
 
 
 A hybrid work policy to strike the perfect balance between office and home.
 
 
 
 
 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.
 
</div>

Business Analyst

<div>
 
 Overview
 
 
 
 Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42&rsquo;s new age AI-driven products &amp; solutions from conceptualization, planning &amp; prototyping all the way to testing &amp; delivery.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 You will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 
 Qualifications
 
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 10 years of experience in developing AI algorithms for various modalities.
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 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 &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 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.
</div>

Principal Applied Scientist

<div>
 
 Overview
 
 
 
 Inception is seeking a highly proficient and accomplished Sr. Applied Scientist, with a proven track record, to develop efficient deep-learning and generative AI algorithms and conceive innovative AI-centric models. This role offers a unique opportunity to work closely with our product development teams, applying emerging technologies across a diverse range of applications.
 
 
 The opportunity
 
 
 Join a fast-paced, future-driven company and become part of a dynamic, forward-thinking team with the most extensive AI service repository and a mission to establish itself as the premier AI Platform-as-a-Service for businesses and developers alike.
 
 
 Inception is the UAE&rsquo;s national-scale enabler in AI Research and Development. Partnering with Microsoft's AI SaaS, we offer domain-specific Agentic AI Orchestrator platforms utilizing reasoning agents for precise and cost-effective services. Our focus includes AI incubation, IP creation, applied AI R&amp;D, and AI investment products. By creating models tailored to specific domains and languages, we ensure superior accuracy and efficiency. Collaborating with top universities and industry giants to drive significant advancements in AI technology within the region.
 
 
 
 Responsibilities
 
 
 
 Your key responsibilities
 
 
 In the Sr. Applied Scientist role you will play a crucial part in pioneering research and development across various facets of AI, including but not limited to computer vision, natural language processing, and audio signal processing. Your work will involve the creation and optimization of cutting-edge AI algorithms and deep learning models, contributing to advancements in areas such as semantic understanding, multidimensional data interpretation, and human-machine interactions. Furthermore, your innovative efforts will be applied to a spectrum of practical use cases, serving pivotal industries such as finance, oil and gas, environmental science, and healthcare, thereby driving forward the frontier of impactful AI solutions in real-world scenarios.
 
 
 <ul>
 <li>
 Engage in the design, analysis and optimization of foundational and applied research to power the state-of-the-art AI algorithms and model capabilities at Inception. This will involve staying well-informed of emerging trends, understanding and manipulating complex datasets, and conceptualizing models that are both innovative and applicable to real-world scenarios.
 </li>
 <li>
 Work on comprehensive solutions that integrate various modalities, including text, audio, and visual data, enhancing the AI's ability to understand and interpret human interaction in a more nuanced manner.
 </li>
 <li>
 Collaborate with researchers and engineers across teams at Inception for the design, development, and continual improvement of AI algorithms, ensuring the implementations of such algorithms are optimized for efficiency, reliability, and scalability.
 </li>
 <li>
 Work alongside product development teams to integrate new algorithms and models into broader product offerings, and conduct proofs of concept (POC) as per client needs, ensuring that these innovations translate into tangible benefits for users and stakeholders.
 </li>
 <li>
 Propose scenarios where AI techniques could improve the efficiency of the customer&rsquo;s business.
 </li>
 <li>
 Provide pre-sales and post-sales technical support to the business development team.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 Skills and attributes for success
 
 
 The criteria for your success would include cost savings achieved, number of use cases investigated &amp; datasets mined, number of innovations/POCs deployed, number of existing processes optimized, and customer NPS.
 
 
 To qualify, you must have
 
 
 <ul>
 <li>
 M.Sc. or Ph.D. degree in computer science, engineering, or AI-related field. Specialization in Computer Vision, Natural Language Processing or Speech and Audio are highly desirable.
 </li>
 <li>
 Minimum 8 years of experience in developing AI algorithms for various modalities
 </li>
 <li>
 Track record of conducting high-level research, preferably evidenced by publications in peer-reviewed journals or a history of product-driven research and development.
 
 
 </li>
 </ul>
 Ideally, you&rsquo;ll also need
 
 
 <ul>
 <li>
 A highly curious and inquisitive approach to problem-solving
 </li>
 <li>
 In-depth knowledge of the latest developments in AI and machine learning
 </li>
 <li>
 Excellent communication skills
 
 
 </li>
 </ul>
 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 &amp; growth opportunities via structured training programs and innovative, high-tech projects.
 
 
 Work-Life: A hybrid work policy to strike the perfect balance between office and home.
 
 
 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.
</div>

Senior Applied Scientist

Join Inception and explore 6   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.