Senior Engineer Big Data & AI/ML

 Published Date: April 5, 2021

Employer:	Professional Recruitment
Job Title:	Senior Engineer Big Data & AI/ML
Location:	Riyadh, Saudi Arabia
Job Type:	Unspecified
Category:	Information Technology
Description:	JOB PURPOSE: To work in collaboration with business and O&M on creating value from data, solving complex problems by turning vast amounts of data into business insights through advanced analytics, modeling, and machine learning. Implement and industrialize machine learning models into production by utilizing state of the art tools/algorithms and methodologies following DevOps and a test-driven development process, bridge the gap between insight and actions. Develop scalable and production-ready Advanced Analytics and AI software and products. Believes in a non-hierarchical culture of collaboration, transparency, safety, and trust with a focus on value creation, growth and serving end-users with full ownership and accountability. JOB RESPONSIBILITIES:Big Data Specialist Develop an understanding of business obstacles, objectives and create solutions based on advanced analytics and draw implications for model development Combine, explore and draw insights from large and complex data assets obtained from different parts of the business. Design and build explorative, predictive- or prescriptive models, utilizing optimization, simulation, and machine learning techniques Prototype and pilot new solutions and be a part of the aim of ‘productizing and industrializing’ those valuable solutions that can have an impact at a global scale Guides and coaches other chapter colleagues to help solve data/technical problems at an operational level, and in methodologies to help improve development processes Identifies and interprets trends and patterns in complex data sets to enable the business to make data-driven decisions Advocate data-driven decision making through for example experimentation and other quantitative analysis Design advanced analytics solutions together with business stakeholders and product/analytics teams to maximize impact; function as the link and catalyst Pressure-test algorithms from a business logic perspective and develop value proofs/ business cases Support in analysis and verification of model output and work with data scientists to improve the accuracy of the model Analyze data using the latest web analytics and business intelligence techniques Develop industrialization process to rollout by ensuring real-time data collection across the portfolio Implement tools (e.g., Power BI or web-analysis dashboards) that help data consumers to extract, analyze, and visualize data faster and better through data pipeline Design, develop and build real-time data pipelines from a variety of sources (streaming data, APIs, data warehouse, messages etc.) Leverage the understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof software Manage existing pipelines and create new pipelines from a variety of sources (relational, XML, etc.) Actively apply best practices within CI/CD Propose and implement solutions for data pipeline stabilization and data quality checks Coordination with other teams to design optimal patterns for data ingest and egress, as well as lead and coordinate data quality initiatives and troubleshooting Ensure best practices are followed across architecture, codebase, and configuration Machine Learning & Artificial Intelligence:   Test and scale new algorithms through pilots and later industrialize the solutions at scale to the comprehensive fashion network of the Group Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service to provide an e2e solution Leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code Design, develop and maintain the framework for analytical pipeline Develop common components to address pain points in machine learning project, like model lifecycle management, feature store and data quality evaluation Provide input and help implement framework and tools to improve data quality Work in cross-functional agile teams of highly skilled software/machine learning engineers, data scientists, designers, product managers and others to build the AI ecosystem within the Group Deliver on time, demonstrating strong commitment to delivering on the team mission and agreed backlog
Qualifications:	QUALIFICATIONS, EXPERIENCE, & SKILLS: Minimum Qualifications:University degree in IT or Computer ScienceMinimum Experience:12-15 years total experience in the Data Science field including at least 3-5 years as AI/ML EngineerJob-Specific Skills: Ability to transform proof of concept machine learning models into scalable solutions Ability to translate business requirements into analytical requirements Ability to apply software development best practices into machine learning projects, including unit tests, DevOps integration, release management, test-driven development, etc. Ability to automate development process of machine learning project by leverage state of art tools and technology like container, continuous integration, and delivery, orchestration tools, etc. Familiar with at least one of the major cloud solutions, preferably Azure. Able to recommend and select the right services available in the cloud to address a technical problem Good understanding and experience with software design principle and design pattern Good understanding of Agile and Scrum methodology, keep team focus on delivering business value Ability to understand business needs and meet through suitable solutions/products; Outstanding knowledge of IT hardware and software systems; Strong analytical, organizational, and communication skills Understanding of using numerical, statistical, and analytical methods to apply to data processing Ability to Extract and present valuable information from data Ability to Understand business requirements and generate insights Ability to Build mathematical models, validate and work with them Ability to establish priorities with clear goals and responsibilities to achieve a high level of performance. Ability to Evaluate different options proactively and ability to solve problems in an innovative way. Develop new solutions or combine existing methods to create new approaches. Advise the business in the best solution from both a business and maintainability perspective
Education:	Bachelor's degree / higher diploma
Experience:	Min: 12
Salary:	Unspecified
Contact:	Apply

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