33 Data Mining jobs in Qatar
Developer - Machine Learning
Posted 6 days ago
Job Viewed
Job Description
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
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
- 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
- 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
- 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
- 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
Educational Qualification
- Bachelor's degree in data science, statistics, and computer science is a MUST
- 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)
- Proficient in python, TensorFlow, keras and pytorch
- Good experience in:
- SQL and non-relational databases
- Data analytics reports generation
- ML model development deployment
hnbS4cSttS
Developer - Machine Learning
Posted today
Job Viewed
Job Description
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
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
- 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
- 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
- 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
- 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
Educational Qualification
- Bachelor's degree in data science, statistics, and computer science is a MUST
- 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)
- Proficient in python, TensorFlow, keras and pytorch
- Good experience in:
- SQL and non-relational databases
- Data analytics reports generation
- ML model development deployment
hnbS4cSttS #J-18808-Ljbffr
Developer - Machine Learning
Posted 15 days ago
Job Viewed
Job Description
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
Powered by JazzHR
hnbS4cSttS
#J-18808-Ljbffr
Developer - machine learning
Posted today
Job Viewed
Job Description
Job SummaryYou 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 ObjectivesDevelop 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 releasesJob ResponsibilitiesPredictive Modeling and DeploymentDevelop 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 efficiencyData Preparation and AnalysisDevelop 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 automatedModel Deployment and InterpretationDeploy 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 limitationsDevelopment & DocumentationWrite 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 i Horizons products and services
Understand the business impact for labs outcomesCollaboration & Team GuidanceStay 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 processesJob RequirementsEducational QualificationBachelor's degree in data science, statistics, and computer science is a MUSTPrevious Work Experience3-4+ 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 AbilitiesProficient in python, Tensor Flow, keras and pytorch
Good experience in:
SQL and non-relational databases
Data analytics reports generation
ML model development deploymentPowered by Jazz HRhnb S4c Stt S#J-18808-Ljbffr
Senior Developer Machine Learning
Posted 16 days ago
Job Viewed
Job Description
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.
Senior Developer Machine Learning
Posted today
Job Viewed
Job Description
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.
#J-18808-LjbffrSenior Developer Machine Learning
Posted 18 days ago
Job Viewed
Job Description
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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Senior developer machine learning
Posted today
Job Viewed
Job Description
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 i Horizons 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 modelsNLP models (Experience in Arabic NLP is a huge plus)Skills and Abilities
Proficient in python, Tensor Flow, keras and pytorch.Good experience in:SQL and non-relational databases.Data analytics reports generation.ML model development deployment.About i Horizons
i Horizons 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.#J-18808-Ljbffr
Artifical Intelligence & Machine Learning Engineer
Posted 16 days ago
Job Viewed
Job Description
Oryx Universal College in partnership with Liverpool John Moores University Full time
Artifical Intelligence & Machine Learning EngineerWe 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.
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.
Artifical Intelligence & Machine Learning Engineer
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Job Description
Oryx Universal College in partnership with Liverpool John Moores University | Full time
Artifical Intelligence & Machine Learning EngineerWe 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.
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.