Bayt.com
https://bayt.page.link/v1TUmrkCw1dqRip19
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Job Description

Job Summary

  • The Machine Learning Analyst is responsible for developing and implementing machine learning models to analyze and interpret complex data sets. The role collaborates with cross-functional teams to identify business needs, design algorithms, and extract valuable insight from data. The role may also be involved in data pre-processing, feature engineering, and model evaluation to ensure the effectiveness of machine learning solutions.

Job Responsibilities 1

  • Build and optimize web applications from the front end to the back end.
  • Integrate user-facing elements using server-side logic and connecting the application with the cloud infrastructure.
  • Design and implement databases to store and retrieve data efficiently.
  • Optimize database performance and ensure data integrity.
  • Develop data pipelines for ETL (Extract, Transform, Load) processes.
  • Design, develop, and implement machine learning models to solve specific business problems using algorithms suitable for the task.
  • Identify and select relevant features or variables that contribute to the performance of machine learning models.
  • Analyze and understand large data sets to identify patterns, trends, and insights relevant to business goals.
  • Clean and prepare raw data for analysis, ensuring data quality and handling missing and inconsistent information.
  • Integrate and process data from various sources to support business needs.
  • Implement security measures for cloud-based solutions, including access controls, encryption, and compliance with industry standards. Monitor and optimize the performance of cloud-based applications and infrastructure.

Job Responsibilities 2

Identify and address bottlenecks to ensure optimal system performance.

Collaborate with cross-functional teams, including other developers, data scientists, and system administrators.

Communicate technical concepts effectively to non-technical stakeholders.

Adhere to agile development methodologies and participate in sprint planning, reviews, and retrospectives.

Develop and maintain database architectures using MSSQL.

Collaborate with stakeholders to gather and comprehend business requirements for data collection and analysis.

Perform data validation to ensure accuracy, completeness, and consistency of data.

Analyze data sets, generate insights, and create reports using Power BI or similar tools.

Skills

Additional Responsibilities 3

Job Knowledge & Skills

Knowledge in data Engineering and Data Science to manage databases, analyze data, and implement ETL processes.

Should possess a strong understanding of MSSQL, Python programming, Power BI, database management, and data collection methodologies from business requirement.

ERP knowledge preferably SAP functional skills are a requirement to be successful in this role.

Job Experience

Minimum 8 year(s) working experience, 5 year(s) relevant working experience, 2 year (s) GCC is a plus

Competencies

Accountability

Build High-Performing Teams

Provide Direction

Collaboration

Data Visualization L3

IT Standards and Procedures L3

Leadership

Machine Learning Algorithms L3

Machine Learning L3

Machine Learning Trends And Techniques L3

Quality

Resilience

Education

Master's degree in any related field

Bachelor's Degree in COMPUTER RELATED FIELD or Material Management

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Power International Holding
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Power International Holding (PIH) is a diversified business conglomerate, grouped into 5 main sectors: General Contracting, Agro-Food Industries, Real Estate Development, Lifestyle (Hospitality, Entertainment & Catering) and General Services. To ensure the sustainability and success of each businesses within the various sectors, we are committed to providing every entity with the tools and resources together with the central functional support to enable development and growth. We work in specialization, to ensure that each business strives to achieve the organization’s objectives and goals. Grouping is done through focus and trade excellence of organization leaders who proactively work together in multi-disciplinary groups, ensuring that each business thrives and flourishes.

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