Engineer I

• The Ideal candidate will be responsible for Designing, Developing and maintaining machine learning development pipelines.
• Adopt emerging standards and review processes while promoting best practices and consistent framework usage and review processes with our AIML Goverance team
• Serving as a core member of an agile team that drives user story analysis and elaboration, designs and develops responsive web applications using the best engineering practices.
• You will closely work with data analysts and other partners to ensure development of robust models and machine learning applications.
• You will be Building and optimize reports for analytical and business purposes.
• Monitor and solve data engineering issues to ensure smooth operation.
• Implementing data quality checks and validation process to ensure the accuracy, completeness, and consistency of data.
• Implementing data governance policies , access controls , and security measures to protect critical data and ensure compliance.
• Developing deep understanding of integrations with other systems and platforms within the supported domains.
• Bring a culture of innovation, ideas, and continuous improvement.
• Challenging the status quo, demonstrating risk taking, and implementing creative ideas
• Manage your own time, and work well both independently and as part of a team.
• Work with Product Owners to define requirements for new features and plan increments of work.

Preferred Qualifications

• Machine Learning and Data Analytics skills - Good knowledge of machine learning methods. Understanding of data analysis tools e.g. PowerBI and Tableau.
• Demonstrated experience of developing and defending Machine Learning, AI, or statistical models
• BS or MS degree in computer science, computer engineering, data science or other technical subject area or equivalent 5+ years of work experience
• Hands-on experience with SQL, including schema design, query optimization and performance tuning.
• Experience with distributed computing frameworks like Hadoop, Hive, Spark for processing large scale data sets.
• Proficiency in any of the programming language python, pyspark for building data pipeline and automation scripts.
• Understanding of cloud computing and exposure to any cloud GCP,AWS or Azure.
• knowledge of CICD, GIT commands and deployment process.
• Understanding of AI tools.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex data issues and optimize data processing workflows
• Excellent communication and collaboration skills.