16 AI Research jobs in Qatar

Research Assistant- IoT and AI for Livestock Monitoring and Management

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Research Assistant- IoT and AI for Livestock Monitoring and Management

Join to apply for the Research Assistant- IoT and AI for Livestock Monitoring and Management role at University of Doha for Science & Technology

Overview

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.

Overview

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.

With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance students’ skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

The Applied Research, Innovation and Economic Development Directorate of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in Qatari Market.

Responsibilities

Responsibilities

• Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform.
• Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud.
• Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage.
• Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management.
• Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making.
• Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations.
• Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration.
• Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system.
  
  

Qualifications

Qualifications and Skills: Essential:

• Bachelor, Master or P.hD degree in Electrical Engineering, Computer Science, Data Science, or a related field.
• Knowledge of IoT systems, sensor integration, and data processing pipelines.
• Proficiency in AI/ML tools and techniques, especially in predictive modeling.
• Familiarity with livestock farming or agricultural technologies.
• Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms).
• Strong analytical and problem-solving skills.
  
  

Preferred:

• Experience in collaborating with multidisciplinary teams and industry partners.
• Knowledge of environmental metrics and greenhouse gas monitoring.
  
  

Competencies:

• Excellent communication and organizational skills.
• Ability to work independently and as part of a team.
• Strong commitment to research ethics and quality.
• Attention to detail and a proactive approach to problem-solving

Seniority level

• Seniority level Entry level

Employment type

• Employment type Temporary

Job function

• Job function Research, Analyst, and Information Technology
• Industries Higher Education

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Teaching Assistant / Education Support Specialist Associate Professor/ Assistant Professor- Chemical Engineering Postdoctoral Researcher – Groundwater Modelling & Machine Learning Lead/ Staff Data Scientist (Bangkok based, relocation provided) Faculty of Mechanical Engineering (Maintenance Engineering-Associate Professor /Assistant Professor) Associate Professor/ Assistant Professor- Construction Engineering Lead DS (Data Scientist) Bangkok based, Relocation provided Lead Data Science (Bangkok based, Relocation provided) Research Assistant Professor (Working Title - Engineering Assistant Professor) Robotics and Autonomous Systems - Mechanical Engineering Program

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Overview

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally. With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance students’ skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality. The Applied Research, Innovation and Economic Development Directorate of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in the Qatari Market. Responsibilities

Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform. Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud. Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage. Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management. Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making. Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations. Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration. Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system. Qualifications

Essential:

Bachelor, Master or Ph.D. degree in Electrical Engineering, Computer Science, Data Science, or a related field. Knowledge of IoT systems, sensor integration, and data processing pipelines. Proficiency in AI/ML tools and techniques, especially in predictive modeling. Familiarity with livestock farming or agricultural technologies. Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms). Strong analytical and problem-solving skills. Preferred:

Experience in collaborating with multidisciplinary teams and industry partners. Knowledge of environmental metrics and greenhouse gas monitoring. Competencies:

Excellent communication and organizational skills. Ability to work independently and as part of a team. Strong commitment to research ethics and quality. Attention to detail and a proactive approach to problem-solving.

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Research Assistant- IoT and AI for Livestock Monitoring and Management

Join to apply for the

Research Assistant- IoT and AI for Livestock Monitoring and Management

role at

University of Doha for Science & Technology Continue with Google Continue with Google Research Assistant- IoT and AI for Livestock Monitoring and Management

Join to apply for the

Research Assistant- IoT and AI for Livestock Monitoring and Management

role at

University of Doha for Science & Technology Overview

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally. Overview

University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.

With more than 700 staff and over 8,000 students, UDST is the destination of choice for applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences that incorporate innovative learning technologies. Our aim is to enhance students’ skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

The Applied Research, Innovation and Economic Development Directorate of UDST invites applications for the position of Research Assistant- IoT and AI to work on project Q-Cattle, an integrated AI and IoT framework for sustainable livestock management to increase the efficiency of milk and meat production in Qatari Market.

Responsibilities

Responsibilities

Develop, test, and integrate IoT-based sensor systems for monitoring livestock health, behavior, and environmental impact into a unified platform. Support the creation, refinement, and deployment of AI-driven predictive models on embedded systems such as ESP32 and Raspberry Pi to collect, process, and send data to the cloud. Monitor real-time data acquisition processes, ensuring data quality, integrity, and seamless synchronization with cloud storage. Design, implement, and test a comprehensive dashboard for intuitive data visualization, real-time notifications, and actionable insights for livestock management. Analyze historical and real-time data using advanced processing techniques to extract meaningful insights and enable proactive decision-making. Draft high-quality research outputs, including Q1 and Q2 journal papers, white papers, book chapters, and technical documentation, showcasing methodologies, findings, and innovations. Develop and optimize software and algorithms eligible for copyright and patent protection, focusing on AI models, data analysis tools, and system integration. Collaborate with industry partners and stakeholders to implement IoT and AI-driven solutions, conduct farm-based assessments, and evaluate real-world applications of the system.

Qualifications

Qualifications and Skills:

Essential:

Bachelor, Master or P.hD degree in Electrical Engineering, Computer Science, Data Science, or a related field. Knowledge of IoT systems, sensor integration, and data processing pipelines. Proficiency in AI/ML tools and techniques, especially in predictive modeling. Familiarity with livestock farming or agricultural technologies. Experience in data visualization and dashboard development (e.g., Power BI, Tableau, or custom platforms). Strong analytical and problem-solving skills.

Preferred:

Experience in collaborating with multidisciplinary teams and industry partners. Knowledge of environmental metrics and greenhouse gas monitoring.

Competencies:

Excellent communication and organizational skills. Ability to work independently and as part of a team. Strong commitment to research ethics and quality. Attention to detail and a proactive approach to problem-solving

Seniority level

Seniority level Entry level Employment type

Employment type Temporary Job function

Job function Research, Analyst, and Information Technology Industries Higher Education Referrals increase your chances of interviewing at University of Doha for Science & Technology by 2x Sign in to set job alerts for “Research Assistant” roles.

Continue with Google Continue with Google Continue with Google Continue with Google Teaching Assistant / Education Support Specialist

Associate Professor/ Assistant Professor- Chemical Engineering

Postdoctoral Researcher – Groundwater Modelling & Machine Learning

Lead/ Staff Data Scientist (Bangkok based, relocation provided)

Faculty of Mechanical Engineering (Maintenance Engineering-Associate Professor /Assistant Professor)

Associate Professor/ Assistant Professor- Construction Engineering

Lead DS (Data Scientist) Bangkok based, Relocation provided

Lead Data Science (Bangkok based, Relocation provided)

Research Assistant Professor (Working Title - Engineering Assistant Professor) Robotics and Autonomous Systems - Mechanical Engineering Program

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Job Objectives

Develop and implement advanced predictive models to optimize customer experiences and other business outcomes Analyze large and complex datasets to extract actionable insights and drive business decisions Interpret results and provide actionable insights to guide real-time decision-making within the business context Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases

Job Responsibilities

Predictive Modeling and Deployment

Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand Utilize predictive modeling to optimize customer experiences and other business outcomes Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency

Data Preparation and Analysis

Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated

Model Deployment and Interpretation

Deploy models into production environments and monitor their performance over time Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems Interpret results, develop insights within the business context, and provide guidance on risks and limitations

Development & Documentation

Write the code as per agreed software design rules to keep it aligned with the rest of the code base Code the final implementation that the generated code is referring to Follow company software data protection and security guidelines in developing software Accurately estimate the time needed to complete an assigned task Identify possible causes of issues or problems Think through and recommend solutions when raising issues around code, requirements, etc Write technical design documentation that fully defines all application code Maintain detailed knowledge of iHorizons products and services Understand the business impact for labs outcomes

Collaboration & Team Guidance

Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders Collaborate with other teams to perform code reviews and oversee proper deployment for new releases Actively mentor and support mid-level and junior developers in their professional growth Provide guidance on best practices in machine learning, code reviews, and project design Foster an inclusive and collaborative environment that encourages continuous learning and development within the team Oversee interactions with vendors and third-party service providers, including collaborating on the design and implementation of technical architectures, and acting as a point of contact for resolving technical issues. Maintain clear communication with internal stakeholders regarding vendor-related activities, updates, and issues to facilitate smooth collaboration and decision-making processes

Job Requirements

Educational Qualification

Bachelor's degree in data science, statistics, and computer science is a MUST

Previous Work Experience

3-4+ Years of experience in data science or machine learning Must have strong experience in at least one of the following areas: Vision models NLP models (Experience in Arabic NLP is a huge plus)

Skills And Abilities

Proficient in python, TensorFlow, keras and pytorch Good experience in: SQL and non-relational databases Data analytics reports generation ML model development deployment

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Job Summary

You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies.

You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains.

Reporting Structure

• This job reports to the Manager – AI.

Job Objectives

• Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

• Analyze large and complex datasets to extract actionable insights and drive business decisions.

• Interpret results and provide actionable insights to guide real-time decision-making within the business context.

• Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities

Predictive Modeling and Deployment

• Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

• Utilize predictive modeling to optimize customer experiences and other business outcomes.

• Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis

• Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

• Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

• Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation

• Deploy models into production environments and monitor their performance over time.

• Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

• Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation

• Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

• Code the final implementation that the generated code is referring to.

• Follow company software data protection and security guidelines in developing software.

• Accurately estimate the time needed to complete an assigned task.

• Identify possible causes of issues or problems.

• Think through and recommend solutions when raising issues around code, requirements, etc.

• Write technical design documentation that fully defines all application code.

• Maintain detailed knowledge of iHorizons products and services.

• Understand the business impact for labs outcomes.

Collaboration & Team Guidance

• Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

• Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

• Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

• Actively mentor and support mid-level and junior developers in their professional growth.

• Provide guidance on best practices in machine learning, code reviews, and project design.

• Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

• Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements

Educational Qualification

• Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience

• 6+ Years of experience in data science or machine learning.

• Must have strong experience in at least one of the following areas:

• Vision models

• NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities

• Proficient in python, TensorFlow, keras and pytorch.

• Good experience in:

• SQL and non-relational databases.

• Data analytics reports generation.

• ML model development deployment.

About iHorizons

iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies.

We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

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Job Summary You will be responsible for end-to-end data science cycles, encompassing designing, training, implementing, evaluating, and monitoring machine learning models, and will also design and implement highly scalable tools and algorithms based on state-of-the-art Machine Learning and Deep Learning methodologies. You will work across the ML stack, from researching models, working with large datasets, training, and tuning existing models to creating new models, deploying them at scale, analyzing results, and presenting findings to stakeholders across tech and business domains. Reporting Structure This job reports to the Manager – AI.

Job Objectives Develop and implement advanced predictive models to optimize customer experiences and other business outcomes.

Analyze large and complex datasets to extract actionable insights and drive business decisions.

Interpret results and provide actionable insights to guide real-time decision-making within the business context.

Collaborate with cross-functional teams to ensure proper deployment and integration of ML models for new releases.

Job Responsibilities Predictive Modeling and Deployment Develop and implement advanced predictive models to forecast key business metrics such as sales, customer churn, or product demand.

Utilize predictive modeling to optimize customer experiences and other business outcomes.

Execute machine learning models, algorithms, and statistical techniques to analyze historical data and ensure scalability and efficiency.

Data Preparation and Analysis Develop and use advanced software programs, algorithms, and query techniques to cleanse, integrate, and evaluate datasets for model inputs.

Analyze large and complex datasets to extract actionable insights and identify trends and patterns that can drive business decisions.

Identify manual human processes, understand user behaviors, and analyze use cases that can be augmented or automated.

Model Deployment and Interpretation Deploy models into production environments and monitor their performance over time.

Apply statistical, mathematical, and predictive modeling techniques to build, maintain, and improve real-time decision systems.

Interpret results, develop insights within the business context, and provide guidance on risks and limitations.

Development & Documentation Write the code as per agreed software design rules to keep it aligned with the rest of the code base.

Code the final implementation that the generated code is referring to.

Follow company software data protection and security guidelines in developing software.

Accurately estimate the time needed to complete an assigned task.

Identify possible causes of issues or problems.

Think through and recommend solutions when raising issues around code, requirements, etc.

Write technical design documentation that fully defines all application code.

Maintain detailed knowledge of iHorizons products and services.

Understand the business impact for labs outcomes.

Collaboration & Team Guidance Stay updated on the latest research, learn new applications, tools, and technologies in the fields of data science and machine learning through intensive and focused effort.

Collaborate with technical and non-technical business partners to develop analytical dashboards describing ML algorithm findings to stakeholders.

Collaborate with other teams to perform code reviews and oversee proper deployment for new releases.

Actively mentor and support mid-level and junior developers in their professional growth.

Provide guidance on best practices in machine learning, code reviews, and project design.

Conduct regular knowledge-sharing sessions, workshops, and one-on-one coaching to enhance the technical skills and problem-solving abilities of less experienced team members.

Foster an inclusive and collaborative environment that encourages continuous learning and development within the team.

Job Requirements Educational Qualification Bachelor's degree in data science, statistics, and computer science is a MUST.

Previous Work Experience 6+ Years of experience in data science or machine learning.

Must have strong experience in at least one of the following areas:

Vision models

NLP models (Experience in Arabic NLP is a huge plus)

Skills and Abilities Proficient in python, TensorFlow, keras and pytorch.

Good experience in:

SQL and non-relational databases.

Data analytics reports generation.

ML model development deployment.

About iHorizons iHorizons is a leading provider of business solutions and technology services in the Arab World. Headquartered in Doha, Qatar, we work with prominent clients to support their digital service migration journeys. The ultimate outcomes are radically improved customer experiences and increased operational efficiencies. We are a forward-looking organization, always enhancing our methodologies and adopting new technologies so that we would serve our customers better and improve our position in the market. We have an outstanding culture, and we provide unique opportunities for career growth to all our staff.

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Oryx Universal College in partnership with Liverpool John Moores University | Full time

Artifical Intelligence & Machine Learning Engineer

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

• Design, train, evaluate, and deploy machine learning and deep learning models
  
• Build and maintain scalable AI solutions for real-time or batch processing systems.
  
• Optimise model performance, including accuracy, latency, and resource consumption.
  
• Collaborate with data engineers and analysts to source, clean, and transform data.
  
• Apply advanced statistical and data mining techniques to extract meaningful patterns.
  
• Stay updated with the latest advancements in AI and ML technologies.
  
• Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.
  
• Systems Integration
  
• Develop APIs and services to integrate AI solutions into existing platforms or applications.
  
• Collaborate with software engineers and DevOps teams to ensure production-level stability.
  
• Work closely with academic and operational teams to understand business needs and translate them into technical solutions.
  
• Prepare documentation, reports, and presentation materials to communicate findings and methodologies.
  

Requirements Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

#J-18808-Ljbffr

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action. Key Responsibilities:

Model Development & Deployment

Design, train, evaluate, and deploy machine learning and deep learning models. Build and maintain scalable AI solutions for real-time or batch processing systems. Optimize model performance, including accuracy, latency, and resource consumption.

Data Engineering & Processing

Collaborate with data engineers and analysts to source, clean, and transform data. Apply advanced statistical and data mining techniques to extract meaningful patterns.

Research & Innovation

Stay updated with the latest advancements in AI and ML technologies. Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.

Systems Integration

Develop APIs and services to integrate AI solutions into existing platforms or applications. Collaborate with software engineers and DevOps teams to ensure production-level stability.

Collaboration & Communication

Work closely with academic and operational teams to understand business needs and translate them into technical solutions. Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

Requirements

Required Qualifications:

Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred). Minimum 3 years of hands-on experience in AI/ML engineering or data science roles. Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras). Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision. Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerized environments (Docker, Kubernetes). Desirable Skills:

Knowledge of MLOps tools and CI/CD pipelines for ML projects. Familiarity with big data platforms (e.g., Spark, Hadoop). Experience with academic or educational systems (LMS, AI in education) is a plus. Demonstrated contributions to open-source projects, research publications, or hackathons.

#J-18808-Ljbffr

Oryx Universal College in partnership with Liverpool John Moores University | Full time Artifical Intelligence & Machine Learning Engineer

We are seeking a highly skilled and innovative Artificial Intelligence and Machine Learning Engineer to join our team. The ideal candidate will be responsible for designing, developing, and deploying AI and ML models that drive impactful solutions across various domains, including education, data analytics, automation, and smart systems. You will work alongside interdisciplinary teams to integrate cutting-edge technologies into practical applications, transforming data into intelligent action.

Key Responsibilities:

Design, train, evaluate, and deploy machine learning and deep learning models

Build and maintain scalable AI solutions for real-time or batch processing systems.

Optimise model performance, including accuracy, latency, and resource consumption.

Collaborate with data engineers and analysts to source, clean, and transform data.

Apply advanced statistical and data mining techniques to extract meaningful patterns.

Stay updated with the latest advancements in AI and ML technologies.

Prototype innovative solutions, contribute to research publications, and recommend adoption of new frameworks.

Systems Integration

Develop APIs and services to integrate AI solutions into existing platforms or applications.

Collaborate with software engineers and DevOps teams to ensure production-level stability.

Work closely with academic and operational teams to understand business needs and translate them into technical solutions.

Prepare documentation, reports, and presentation materials to communicate findings and methodologies.

Requirements

Required Qualifications: Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field (Master’s or PhD preferred).

Minimum 3 years of hands-on experience in AI/ML engineering or data science roles.

Proficient in Python and common ML libraries (e.g., TensorFlow, PyTorch, scikit-learn, Keras).

Strong understanding of machine learning algorithms, neural networks, natural language processing (NLP), and computer vision.

Experience in model deployment using cloud platforms (e.g., AWS, Azure, GCP) or containerised environments (Docker, Kubernetes).

Knowledge of MLOps tools and CI/CD pipelines for ML projects.

Familiarity with big data platforms (e.g., Spark, Hadoop).

Experience with academic or educational systems (LMS, AI in education) is a plus.

Demonstrated contributions to open-source projects, research publications, or hackathons.

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