Remote Data Engineer (AI/ML)

Description:

• The purpose of the Data Engineer (AI/ML) position is to leverage data across the company to enhance commercial decisions and provide excellent campaign management.
• The role involves researching, building, designing, and automating predictive models along with metrics to track their progress.
• The candidate should possess strong communication and analysis skills and be a team player who can work with minimal supervision.
• Responsibilities include writing clean and maintainable code, understanding business objectives, developing models to achieve them, and finding innovative solutions to complex business problems.
• The role requires evaluating existing models and recommending improvements for better performance efficiency.
• The Data Engineer will be responsible for the quality, accuracy, and interpretation of result sets.

Requirements:

• A Bachelor’s degree or higher in data science, data engineering, business intelligence, business administration, or a similar field with a focus on math and statistics/data engineering is preferred.
• A minimum of 2 years of experience as a data engineer on AI/ML projects using Python, R, or similar technologies is required.
• Strong experience with Microsoft Azure data engineering pipelines, including Azure Data Factory, Azure Data Bricks, ADLS, Azure Event Hub, and Azure SQL DB is essential.
• The candidate must have a strong knowledge of scrum practices and an agile mindset.
• Very strong knowledge of Python (NumPy, Pandas, Scikit-Learn, Keras, Flask) and R is required.
• The candidate should have expertise in designing end-to-end ETL solutions using Microsoft Azure technology.
• Strong knowledge of cloud services (Azure and AWS) and experience with BI/Data Analysis technologies is necessary.
• Experience with big data technologies, Data bricks, Spark, Scala, and/or JSON is preferred.
• The candidate should possess very strong analytical skills, a proactive approach to tasks, and the ability to translate business needs into actionable solutions.

Benefits:

• The company offers a flexible four-day Flexi-Week at full pay, prioritizing mental health and well-being, along with various paid special leaves.
• Employees have the flexibility to work from the office, home, or any other location within Awin locations.
• Support for mental and physical well-being is provided through various initiatives and sports offers.
• Awin Academy offers extensive training to support professional and personal development.
• A monthly allowance is provided to cover part of remote working costs, along with support for setting up a remote workspace.
• A peer-to-peer program allows colleagues to thank and reward each other with vouchers for exceptional support.
• Awin promotes a dynamic, social, and inclusive culture, emphasizing diversity and inclusion in its workforce.