54 AI & Emerging Technologies jobs in Qatar

About Us

Mathspace is on a mission to transform mathematics education. We believe that every student can learn and grow in mathematics with the right support—and we're building the most intelligent, adaptive platform to make that possible.

For over a decade, we've pioneered interactive, feedback-driven math learning experiences used by hundreds of thousands of students and teachers globally. But we're just getting started.

The future of math education is one where AI helps every learner receive personalized, real-time guidance—just like a tutor would. And we're building it.

We're a passionate, mission-driven team that blends deep educational insight with cutting-edge technology. At Mathspace, your work directly impacts how the next generation learns.

About The Role

As an AI Product Engineer at Mathspace, you'll lead the development of intelligent learning experiences powered by large language models (LLMs) and other forms of generative AI. From concept to production, you'll build novel product features that help students get timely hints, conversational feedback, and human-like math support—at scale.

You'll join a cross-functional product squad of engineers, designers, educators, and product managers, and work across the stack to explore what's possible at the intersection of pedagogy and AI. You'll evaluate models, design prompts and evaluation frameworks, and help us ship polished experiences to classrooms around the world.

We're still in the early days of our AI journey, and you'll be a key contributor in shaping our strategy, systems, and culture around building with LLMs.

What You'll Be Doing

• Designing and building AI-powered learning experiences that integrate LLMs into Mathspace's student and teacher-facing apps.
• Prototyping, testing, and deploying LLM-based features, such as math-specific feedback, adaptive hints, automated question generation, and teacher co-pilot tools.
• Working across the stack using React, TypeScript, Python and GraphQL.
• Experimenting with prompting, RAG, vector search, and fine-tuning strategies to optimize for student learning outcomes.
• Collaborating with our curriculum and pedagogy teams to ensure our AI experiences are pedagogically sound and aligned with our educational values.
• Contributing to our AI infra and LLMOps processes, including evaluation pipelines, prompt versioning, and observability tools.
• Thinking creatively and critically about what LLMs should and shouldn't do in an educational context—and designing safeguards accordingly.
  
  

• 5+ years of industry experience in product-focused full stack or backend engineering.
• Proficiency in our stack: React/TypeScript, Python, GraphQL.
• Hands-on experience building and deploying LLM-powered applications in production.
• Familiarity with tools and concepts like RAG, prompt engineering, evaluation frameworks, and LLMOps best practices.
• A strong sense of product intuition and user empathy, especially in educational contexts.
• Excellent communication and collaboration skills. You'll be working cross-functionally with teams across pedagogy, design, and engineering.
• A desire to move fast, learn continuously, and build things that really matter for students and teachers
  
  

• Mission-driven work: Help reimagine math education for students and teachers everywhere.
• Meaningful scale: Your work will reach hundreds of thousands of learners across Australia, the US, and beyond.
• Small team, big impact: We're a lean, high-trust team where individual ownership matters.
• Flexible work: We support remote work with some timezone overlap with Sydney. Our HQ is near Central Station.
• Support for growth: We offer a yearly stipend for training and professional development.
• Do good beyond product: We partner with pledge1percent.org and offer 2.5 paid volunteer days annually.
• Competitive salary and equipment: Including a MacBook Pro and any peripherals you need to do your best work

time left to apply End Date: August 29, 2025 (2 days left to apply)

job requisition id 2023617

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus’ academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university’s main campus.

Minimum Qualifications

Education:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field is required.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments .

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

For a comprehensive overview of the benefits available, explore our Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization! Apply today!

Location

Job Function

We are hiring AI Engineer in our Qatar campus.

The AI Engineer will serve as a core member of the Computing Services team, responsible for designing, developing, supporting, and deploying AI-driven solutions that advance the campus’ academic, research, and administrative missions. This role combines strong technical expertise with excellent communication, documentation, and training skills. The AI Engineer will also lead training initiatives to foster AI adoption and promote the responsible, ethical, and innovative use of AI technologies across the campus community.

Key Responsibilities

AI Development, Support & Deployment (50%)

Serve as a primary support resource for the AI service catalog by addressing inquiries, troubleshooting issues, and ensuring timely resolution in collaboration with technical teams.

Maintain, support, and continuously improve existing AI tools and services used by faculty, staff, and students.

Design and implement AI solutions using Python and standard frameworks such as scikit-learn, PyTorch, and TensorFlow.

Develop and deploy AI services that integrate with both on-premise and cloud infrastructure.

Leverage experience with AI/ML solutions in Azure, AWS, or Google Cloud environments to support scalable deployments.

Partner with IT security and data governance teams to ensure AI solutions comply with institutional standards, research data policies (e.g., FERPA), and ethical AI guidelines

Training, Stakeholder Engagement & Documentation (30%)

Design and deliver engaging AI workshops tailored to faculty, staff, and students to build AI literacy, awareness, and practical application skills.

Create clear and actionable training materials, guides, and documentation that empower campus stakeholders to co-develop and utilize AI solutions.

Maintain a comprehensive, user-friendly repository of AI architectures, workflows, project documentation, and educational resources.

Research, Innovation & Technology Evaluation (10%)

Stay up to date on emerging AI trends, frameworks, and cloud services, particularly those relevant to higher education and academic research.

Evaluate and recommend new tools, platforms, and frameworks to support instructional innovation, research computing, and operational effectiveness.

Identify and explore new AI use cases on campus; contribute to ideation pipelines, pilot initiatives, and early-stage implementations.

Collaboration (10%)

Work closely with faculty, researchers, staff, and students to understand institutional needs and co-design AI-powered solutions.

Cultivate and maintain strong relationships with key stakeholders, vendors, and colleagues across departments and the university’s main campus.

Minimum Qualifications

Education:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field is required.

Master’s degree preferred.

Experience:

3–5 years of hands-on experience in AI/ML engineering, software development, or cloud-based solution delivery.

Proficiency in Python and libraries such as NumPy, Pandas, scikit-learn, TensorFlow, or PyTorch.

Experience deploying AI/ML solutions in Azure, AWS, or Google Cloud environments .

Skills & Competencies:

Strong ability to communicate technical concepts clearly to both technical and non-technical audiences.

Excellent presentation, documentation, and training facilitation skills.

Joining the CMU team opens the door to an array of exceptional benefits.

Benefits eligible employees enjoy a wide array of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental death and disability insurance.

Additional perks include a free Pittsburgh Regional Transit bus pass, access to our Family Concierge Team to help navigate childcare needs, fitness center access , and much more!

For a comprehensive overview of the benefits available, explore our Benefits page .

At Carnegie Mellon, we value the whole package when extending offers of employment. Beyond credentials, we evaluate the role and responsibilities, your valuable work experience, and the knowledge gained through education and training. We appreciate your unique skills and the perspective you bring. Your journey with us is about more than just a job; it’s about finding the perfect fit for your professional growth and personal aspirations.

Are you interested in an exciting opportunity with an exceptional organization! Apply today!

Location

Job Function

Position Type

Full Time/Part time

Pay Basis

More Information:

• Please visit “Why Carnegie Mellon ” to learn more about becoming part of an institution inspiring innovations that change the world.

• Click here to view a listing of employee benefits

• Carnegie Mellon University is an Equal Opportunity Employer/Disability/Veteran .

• Statement of Assurance

Management Consultant (Data, AI & Analytics)

Whether you are starting out as a Junior, growing as a Senior, or ready to lead as an Engagement Manager, we are hiring across all levels.

Artefact is a new generation of data service providers, specialising in data consulting and data-driven digital marketing. It is dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

The backbone of our consulting missions, today our Data consulting team has more than 400 consultants covering all Artefact's offers (and more): data marketing, data governance, strategy consulting, product owner…

What will you be doing?

• Involved in managing projects across Data, AI & Analytics, ensuring end-to-end execution and timely delivery.
• Break down and structure complex client challenges into clear, actionable solutions.
• Create compelling client proposals, business development materials, and presentation decks.
• Bridge the gap between technical and business teams by translating complex data and technical concepts into clear business insights.
• Contribute to the expansion of our data consulting practice

What are we looking for?

• You must have prior management consultancy experience, ideally within Strategy Consulting or Data Consulting.
• Graduated from a Business school or an Engineering Program
• We are looking for profiles with a dual focus on “business” and “data”
• You will already understand digital technologies (Tracking, Machine Learning, RTB, Big Data, Platform as a Service, etc).

Innovation : We have a passion for creating impactful projects and believe innovation can come from anyone.

Action: We make things rather than telling people how to make them.

Collaboration : We believe in bringing talented people together, winning together, and in learning from each other.

About the role:

Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data & Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.

Key responsibilities

• Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data & Al strategy (over a 3–5-year timeframe) to support the MATAR business strategy and growth plans.
• Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.
• Ensure that the Business Intelligence/Data Analytics & Al platform complies with approved Data & Al strategy and governance model.
• Collaborate with senior stakeholders to drive innovation in Data & Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.
• Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.
• Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.
• Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.
• Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.
• Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.
• Collaborate with cross-functional teams to support identification and the development of data & Al-based solutions and to integrate them into existing systems and processes.
• Plan and oversee the implementation of monitoring and reporting on the performance of data & Al solutions, making recommendations for improvement as necessary.
• Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.
• Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.
• Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.
• Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.
• Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.
• Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.
• Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.
• Ensure compliance with MATAR IT Service Management (ISO 2000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).
• Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.
• Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR
• Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.
• Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.
• Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.
• Lead the development of annual and rolling budgets related to Data & Al.
• Perform other department duties related to his/her position as directed by the Head of the Department.
• Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.
• To build and lead a skilled and talented team for providing Data & Al capabilities to MATAR in line with corporate objectives and values.

About you:

• Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.
• Experience in data management, performing data analytics & developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.
• Solid understanding of enterprise data analytics, data science & Al.
• Good understanding of Data Governance best practices.
• Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.
• Experience with deep learning frameworks such as Keras and Tensorflow.
• Good understanding of Software Development Life Cycle and Software Quality Assurance processes.
• Systems Implementation or Development leadership.
• Project management certification or demonstrable experience.
• Relationship Management.

We are Qatar Insurance Company (QIC), the leading insurance provider in the GCC. With a history dating back to 1964, we have established ourselves as a pioneer in the insurance industry, offering innovative solutions to meet the diverse needs of individuals and businesses.

Our vision is to make QIC group the first Digital Ecosystem in the region by combining insurance and non-insurance services on a single platform. Through our digital platforms, such as qic.online and the QIC app, we empower customers to manage their needs anytime and anywhere.

Our employees have been featured in Forbes 30 under 30, teach at online universities, serve on program committees of major IT conferences, and have previously worked at Yandex, Tinkoff, Avito, Ozon, and other leading tech companies.

We are looking for an experienced AI/ML Engineer to join our team and help design, build, and scale intelligent systems that power real business solutions. You will work across LLMs, Computer Vision, Speech AI, and AI Infrastructure, embedding advanced AI into core business processes and client-facing products.

• Build chatbots, RAG systems, and automated document processing pipelines involving LLM development.
• Implement OCR for insurance documents, damage assessment from photos, and identity verification using Computer Vision techniques.
• Develop transcription, voice analytics, and multilingual support solutions in Speech AI.
• Deploy and monitor AI models, and integrate them with cloud AI services as part of AI Infrastructure.
• Embed AI into business workflows, create AI APIs, and design user-friendly AI-powered experiences for products.

• At least 3 years of experience in AI/ML engineering with a focus on production systems.
• Strong Python skills (advanced) and experience with FastAPI/Flask for API development.
• Hands-on experience with LLM tools such as OpenAI API, LangChain, Hugging Face Transformers.
• Proficiency in deep learning frameworks like PyTorch or TensorFlow for fine-tuning models.
• Experience with Docker & Kubernetes for containerization and orchestration of AI applications.

Core AI/ML Competencies

• Prompt Engineering: designing effective prompts for LLMs.
• Fine-tuning: adapting pre-trained models to specific business tasks.
• Retrieval-Augmented Generation (RAG): working with vector databases and embeddings.
• Computer Vision Pipelines: from preprocessing to inference.
• Multimodal AI: building solutions that combine text and images.

• Long-term service agreement with QIC.
• A diverse remote team working from 25 different countries.
• Monthly salary paid in US dollars via SWIFT bank transfer.
• Full-time remote work, Sunday to Thursday, 5 days per week.
• Vacation policy aligned with Qatar holidays, including 20 workdays of vacation and 10 sick days.
• Biannual performance reviews with potential raises in March and September.
• Potential opportunity for Qatar ID and relocation to Doha, Qatar.

Quality healthcare with up to $1,500 dental coverage, regardless of your location.

• Language classes to improve communication skills in English, Arabic, or other languages.
• Mental health support services, including Yasno, with 70% coverage, plus 3 mental health days annually.
• Guidance on local and international tax regulations.
• $600/year support for further courses and internal workshops.
• Join our QIC running club for motivation, coaching, and marathon support.
• Salary payouts in USD, EUR, or AED, based on your preference.
• Extra paid leave, including vacation days, sick leave, and bonus days for longevity.

We are open to adopting new stacks and technologies to build market-leading solutions.

Develop a comprehensive 5-year Data and Al strategy for MATAR. Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth for operational and executive management of MATAR. Lead cross-functional teams to drive development and implementation of Data & Al based solutions to drive business growth, improve customer experiences, and optimize operational efficiency. Define and manage the budgets and the IT work programme for requirements analysis, design specifications, development, procurement, implementation and maintenance for assigned systems.

Key responsibilities

• Define, propose and seek concurrence from senior MATAR stakeholders to establish an appropriate and cost-effective Data & Al strategy (over a 3–5-year timeframe) to support the MATAR business strategy and growth plans.
• Develop a 5 year road map and propose adequate 3 year rolling budgets by both business and IT to fulfil the agreed strategy.
• Ensure that the Business Intelligence/Data Analytics & Al platform complies with approved Data & Al strategy and governance model.
• Collaborate with senior stakeholders to drive innovation in Data & Al technologies to drive business growth, efficiency, improved customer experiences and data-driven decision making across the organization.
• Manage all outsourced / hosted IT services for assigned business areas, ensuring that service providers meet agreed service levels, the solutions are periodically benchmarked against competitive solutions in terms of functionality, technology, and cost, and future application strategy is aligned to strategic objectives of MATAR.
• Work cross functionally with IT Security and Data Protection teams to embed data governance processes and monitoring to ensure data quality, privacy, and security.
• Oversee the collection, analysis, and interpretation of data to identify insights that inform business decisions and drive organizational growth.
• Accountable for the implementation of data quality assurance processes that ensures data is accurate, complete, and reliable.
• Ensure that the organization's data architecture and infrastructure are scalable, flexible, and secure.
• Collaborate with cross-functional teams to support identification and the development of data & Al-based solutions and to integrate them into existing systems and processes.
• Plan and oversee the implementation of monitoring and reporting on the performance of data & Al solutions, making recommendations for improvement as necessary.
• Enable and support the business' management to develop and seek approval for business cases/CMC by providing reliable and optimal cost estimates and advising on technology and implementation risks.
• Accountable to establish a consolidated work program portfolio and plan ensuring key attributes such as business priority are maintained, based on inputs from solutions strategy, approved budgets, and high-level planning output from individual projects.
• Engage and influence Executive and Senior management to ensure portfolio delivery aligns with agreed business objectives.
• Own and ensure delivery of all agreed solutions, projects, and services in a timely and cost-effective manner.
• Ensure that a consolidated work program portfolio and plan is established and maintained along with key attributes such as business priority, based on inputs from solutions strategy, approved budgets, and high- level planning output from individual projects.
• Establish and facilitate optimal project governance and decision-making structures, such as Steering Committee and Working Groups, to ensure smooth, efficient, and risk-managed program delivery.
• Develop change management strategies and approaches to ensure transformational programs can be delivered effectively and business adoption is achieved.
• Ensure compliance with MATAR IT Service Management (ISO 2000 framework) and Information Security Management System (ISO 27001 framework) and support/achieve its applicable/assigned Key Performance Indicators (KPls).
• Enable smooth business operations by ensuring high availability of the systems through appropriate design and architecture; and comply with IT availability and business continuity management processes and standards.
• Accountable for management of assigned portfolio and reporting the status at regular intervals to ensure alignment with strategic objectives of MATAR
• Ensure issues related to projects/programs/change initiatives being managed are identified and necessary corrective actions are monitored until closure with minimum impact to business.
• Accountable for the collection and reporting on portfolio KPls often through the deployment of business management processes and systems.
• Accountable for management and execution of contracts for assigned portfolio of IT systems and hosted services.
• Lead the development of annual and rolling budgets related to Data & Al.
• Perform other department duties related to his/her position as directed by the Head of the Department.
• Ensure that all projects and project teams comply with IT project governance framework and standards from process, deliverables and reporting perspective.
• To build and lead a skilled and talented team for providing Data & Al capabilities to MATAR in line with corporate objectives and values.

About you:

• Bachelor's Degree or Equivalent with Minimum 10 years of job- related experience.
• Experience in data management, performing data analytics & developing Al applications in a fast-paced complex environment such as financial services, retail or aviation.
• Solid understanding of enterprise data analytics, data science & Al.
• Good understanding of Data Governance best practices.
• Strong track record in innovation using emerging technologies such as Digital Twin, loT, Computer Vison, Machine Learning and Al.
• Experience with deep learning frameworks such as Keras and Tensorflow.
• Good understanding of Software Development Life Cycle and Software Quality Assurance processes.
• Systems Implementation or Development leadership.
• Project management certification or demonstrable experience.
• Relationship Management.

About Qatar Airways Group
Our story started with four aircraft. Today, we deliver excellence across 12 different businesses coming together as one. We’ve grown fast, broken records and set trends that others follow. We don’t slow down by the fear of failure. Instead, we dare to achieve what’s never been done before.

So whether you’re creating a unique experience for our customers or innovating behind the scenes, every person contributes to our proud story. A story of spectacular growth and determination. Now is the time to bring your best ideas and passion to a place where your ambition will know no boundaries, and be part of a truly global community.

The AI Ops Engineer manages thedeployment, monitoring, and maintenance of AI models. This role involvesensuring the reliability, scalability, and performance of AI systems,collaborating with cross-functional teams to optimize AI operations, and troubleshootingissues as they arise.

• Deploy,monitor, and maintain AI models and systems to ensure optimal performance andreliability.
• Implementand manage CI/CD pipelines for the continuous integration and delivery of AImodels.
• Collaboratewith data scientists, AI engineers, and other stakeholders to understand modelrequirements and ensure successful deployment.
• Monitorthe performance of AI models and systems, identifying and resolving issuespromptly.
• Developand maintain automated monitoring and alerting systems to ensure the health andperformance of AI systems.
• OptimizeAI models and infrastructure for scalability and efficiency
• Ensurecompliance with data governance, security, and regulatory standards in AIoperations.
• Documentdeployment procedures, monitoring processes, and maintenance activities.
• Stayupdated with the latest advancements in AI operations and infrastructuretechnologies.
• Providetechnical support and guidance to junior team members.
• Participatein project planning and contribute to the development of project timelines anddeliverables.
• Performother duties relevant to the job as assigned by the Sr. AI Ops Engineer orsenior management.

• Bachelor’sdegree in Computer Science, Information Technology, or a related field
• Relevantcertifications (e.g., AWS Certified DevOps Engineer, Google Cloud ProfessionalDevOps Engineer) are preferred
• Minimumof 3 years of experience in AI operations, DevOps, or related fields
• Experiencein managing the deployment and maintenance of AI models
• Strongprogramming skills in languages such as Python
• Proficiency in AI and machinelearning frameworks (e.g., TensorFlow, PyTorch)
• Experience with CI/CD tools (e.g.,Jenkins, GitLab CI)
• Excellent problem-solving andtroubleshooting skills
• Strongcommunication and interpersonal skills
• In-depthknowledge of AI operations and infrastructure management
• Familiarity with cloud platforms(e.g., AWS, Azure, Google Cloud) and their AI services
• Understandingof data governance, security, and regulatory standards
• Ability tomanage multiple tasks and prioritize effectively
• Strong attention to detail andcommitment to delivering high-quality work
• Abilityto work independently and as part of a team
• Programminglanguages (e.g., Python)
• AI and machine learning frameworks(e.g., TensorFlow, PyTorch)
• CI/CD tools (e.g., Jenkins, GitLabCI)
• Monitoring and logging tools (e.g.,Prometheus, ELK Stack)
• Collaborationand communication tools (e.g., Slack, Microsoft Teams)
  

The AI/ML Engineer develops andimplements AI/ML models and solutions to drive business innovation andefficiency. This role involves developing and validating machine learningmodels, deep learning algorithms, and statistical analyses, collaborating withcross-functional teams, and ensuring the quality and impact of AI/ML solutions.

• Develop and implement AI/ML projects,including the design and development of models and algorithms.
• Collaborate with stakeholders to understandbusiness requirements and translate them into AI/ML solutions.
• Develop and validate machine learningmodels, deep learning algorithms, and statistical analyses.
• Ensure the accuracy, quality, and relevanceof AI/ML outputs.
• Stay updated with the latest advancementsin AI/ML technologies and best practices, applying them to enhance solutions.
• Provide support and guidance to other teammembers as needed.
• Ensure compliance with data governance,security, and regulatory standards in all AI/ML activities.
• Prepare and present AI/ML reports anddocumentation to senior management and stakeholders.
• Participate in project planning andcontribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job asassigned by the Sr. AI/ML Engineer or senior management.
  

• Bachelor’s degree in AI/ML Engineering,Computer Science, or a related field
• Relevant certifications (e.g., Google CloudProfessional Machine Learning Engineer, AWS Certified Machine Learning –Specialty) are preferred
• Preferred 1 year of experience in AI/MLengineering or related fields.
• Strong programming skills in languages suchas Python, R, or Java
• Proficiency in AI/ML tools and frameworks(e.g., TensorFlow, PyTorch)
• Excellent problem-solving and analyticalskills
• Strong communication and interpersonalskills
• Attention to detail and commitment toquality
• In-depth understanding of AI/ML principles,machine learning algorithms, and statistical analysis
• Familiarity with AI/ML model deployment andmonitoring
• Knowledge of data governance, security, andregulatory standards
• Ability to manage multiple tasks andprioritize effectively
• Strong attention to detail and commitmentto delivering high-quality work
• Ability to work independently and as partof a team
• Programming languages (e.g., Python, R,Java)
• AI/ML tools and frameworks (e.g.,TensorFlow, PyTorch)
• Data visualization tools (e.g., Tableau,Power BI)
• Collaboration and communication tools(e.g., Slack, Microsoft Teams)
• Data management systems (e.g., SQL, NoSQLdatabases)

The Sr. AI Ops Engineer manages the deployment, monitoring, and maintenance of AI models and systems. This role involves ensuring the reliability, scalability, and performance of AI systems, collaborating with cross-functional teams to optimize AI operations, and troubleshooting issues as they arise.

• Deploy, monitor, and maintain AI models and systems to ensure optimal performance and reliability.
• Implement and manage CI/CD pipelines for the continuous integration and delivery of AI models.
• Collaborate with data scientists, AI engineers, and other stakeholders to understand model requirements and ensure successful deployment.
• Monitor the performance of AI models and systems, identifying and resolving issues promptly.
• Develop and maintain automated monitoring and alerting systems to ensure the health and performance of AI systems.
• Optimize AI models and infrastructure for scalability and efficiency.
• Ensure compliance with data governance, security, and regulatory standards in AI operations.
• Document deployment procedures, monitoring processes, and maintenance activities.
• Stay updated with the latest advancements in AI operations and infrastructure technologies.
• Provide technical support and guidance to AI Ops engineers and other team members.
• Participate in project planning and contribute to the development of project timelines and deliverables.
• Perform other duties relevant to the job as assigned by the Principal AI Ops Engineer or senior management.

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• Relevant certifications (e.g., AWS Certified DevOps Engineer, Google Cloud Professional DevOps Engineer) are preferred.
• Minimum of 5 years of experience in AI operations, DevOps, or related fields.
• Experience in managing the deployment and maintenance of AI models.
• Strong programming skills in languages such as Python and Java.
• Proficiency in AI and machine learning frameworks (e.g., TensorFlow, PyTorch).
• Experience with CI/CD tools (e.g., Jenkins, GitLab CI).
• Excellent problem-solving and troubleshooting skills.
• Strong communication and interpersonal skills.
• In-depth knowledge of AI operations and infrastructure management.
• Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI services.
• Understanding of data governance, security, and regulatory standards.
• Ability to manage multiple tasks and prioritize effectively.
• Strong attention to detail and commitment to delivering high-quality work.
• Ability to work independently and as part of a team.