- 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 - Positive 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.

📌 Engineer I (Gurugram)
🏢 American Express
📍 Gurugram