Senior Machine Learning Engineer to Advanced Analytics & AI – AparConsultancyServices

Senior Machine Learning Engineer to Advanced Analytics & AI 723 views

Python 3-5 Years Essential
Machine Learning 10+ Years Essential
Spark 3-5 Years Essential

For our client we are looking for a Senior Machine Learning Engineer to Advanced Analytics & AI , within AA Product Flow

Work tasks:
• Collaborate with Data Scientists and help them test and scale new algorithms through pilots and later industrialize your solutions at scale to the comprehensive fashion network of H&M
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and maintain the connection to UI and front-end developers
• You can leverage an understanding of software architecture and software design patterns to write scalable, maintainable, well-designed and future-proof code
• Architect, develop and maintain the framework for analytical pipeline
• Help drive optimization, testing and tooling 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 H&M

Technical Competences:
• 5+ years’ work life machine learning experience (in advanced analytics environments)
• You have been involved in feature engineering and in prototyping machine learning applications that have been deployed to production
• You have experience in working with high volume heterogeneous data, and are knowledgeable about data storage and modelling techniques
• Experience from building large-scale data infrastructures, including, but not limited to, containerization and cluster management / consolidation
• You have experience from agile environments, team collaboration, data-driven development, reliable and responsible experimentation.
• Able to handle detailed analysis, work independently and in a structured way

• Experience with languages like Python, R on a daily basis
• Familiar with common machine learning toolboxes (Pandas, Scikit-learn).
• Practical Experience with big data and Spark; building, tuning and optimizing end-to-end pipelines in Spark

Qualifying requirements:
• You have a degree within software engineering or similar field (e.g. computer science and programming), and a strong will to continuously develop your engineering skillset
• Experience from deploying and maintaining Hadoop
• Experience in Devops (Familiarity with Git, Jenkins, Docker, ansible etc)
• Familiarity with ETL, data quality, database modeling and data warehousing principles
• Experience from Continuous Integration and Continuous Delivery (CI/CD) is meriting

Personal Competences :
• Great communication skills
• Team player
• Business minded

Language skills:
English required, Swedish Preferred

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