5 Data Architect jobs in Qatar
Big Data engineer
Posted 3 days ago
Job Viewed
Job Description
Experience : 4-6yrs
Job description :
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
- Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
- Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements:
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
- Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
Big Data engineer
Posted 9 days ago
Job Viewed
Job Description
4-6yrs
Job description :
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities:
Collaborate with cross-functional teams such as Data Scientists, Product Partners, and Partner Team Developers to identify opportunities for Big Data, Query (Spark, Hive SQL, BigQuery, SQL) tuning opportunities that can be solved using machine learning and generative AI.
Write clean, high-performance, high-quality, maintainable code.
Create backend applications using Python, Docker, Google Cloud & in-house ML frameworks to orchestrate end-to-end applications.
Design and develop Big Data Engineering Solutions & generative AI Applications ensuring scalability, efficiency, and maintainability of such solutions.
Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
Requirements:
Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
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Big Data engineer /AI-ML
Posted today
Job Viewed
Job Description
Experience : 5+yrs
Job DescriptionWe seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities- Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
- Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
- Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
Big Data engineer /AI-ML
Posted 1 day ago
Job Viewed
Job Description
Overview
Experience : 5+yrs
Job DescriptionWe seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations.
Responsibilities- Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI.
- Write clean, high-performance, high-quality, maintainable code.
- Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications
- Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions.
- Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs.
- Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications.
- Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications.
- Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications.
- Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
Big Data engineer /AI-ML
Posted 1 day ago
Job Viewed
Job Description
Experience :
5+yrs Job Description
We seek a talented Data Engineer with AI & ML knowledge to join our team. As a Data Engineer or MLOps Engineer, your primary responsibility will be to develop & integrate ML solutions that focus on technology improvements. Specifically, you will be working on projects involving leveraging AI/ML for Data Management Efficiencies & Query Optimizations. Responsibilities
Collaborate with cross-functional teams such as Data Scientists, Product Partners and Partner Team Developers to identify opportunities for Big Data, Query ( Spark, Hive SQL, BigQuery, SQL ) tuning opportunities that can be solved using machine learning and generative AI. Write clean, high-performance, high-quality, maintainable code. Create backend applications using Python, docker, Google Cloud & in-house ML frameworks to orchestrate end to end applications Design and develop Big Data Engineering Solutions & generative AI Applications for above ensuring scalability, efficiency, and maintainability of such solutions. Implement prompt engineering techniques to fine-tune and enhance LLMs for better performance and application-specific needs. Stay abreast of the latest advancements in the field of Generative AI Application Development and actively contribute to the research and development of new Generative AI Applications. Qualifications / Requirements
Proven experience working as a Big Data & MLOps Engineer, with a focus on Python, Google Cloud, Spark, Spark SQL, BigQuery, and Generative AI Applications. Deep understanding and experience in tuning Dataproc, BigQuery, and Spark Applications. Solid knowledge of software engineering best practices, including version control systems (e.g., Git), code reviews, and testing methodologies.
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