Machine Learning Analyst
At a glance
Mid-level Machine Learning Engineering role at Power International Holding. Qatar.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build machine learning models for business problems, choosing useful variables and checking how well the models perform
- Clean and combine data from different sources, then build ETL pipelines and validate data quality
- Analyze large datasets for business patterns and create reports with Power BI or similar tools
- Develop web applications, databases and cloud solutions, including performance and security work
- Work with developers, data scientists, system administrators and stakeholders to define needs and explain findings
What you bring
- At least eight years of work experience, including five years in relevant roles
- A master's degree in a related field or a bachelor's degree in a computer-related field or material management
- Strong skills in MSSQL, Python, Power BI, database management and business data collection
- ERP knowledge, preferably SAP, is required for success in the role
Who this fits
This role suits someone combining machine learning and data analysis with web application, database and cloud work. GCC experience is a plus.
From the employer
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.
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
Build High-Performing TeamsProvide DirectionAgilityAI FluencyData Visualization L3IT Standards and Procedures L3Leadership_321977503Machine Learning Algorithms L3Machine Learning L3Machine Learning Trends And Techniques L3Quality_321977507ResilienceEducation
Master's degree in any related fieldBachelor's Degree in COMPUTER RELATED FIELD or Material Management
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