Amex GBT is seeking an AI/ML Solutions Engineer based in Gurgaon, India, to develop and implement innovative AI strategies in a collaborative and inclusive workplace. The ideal candidate should possess expertise in MLOps, big data solutions, and machine learning, with strong communication skills and a growth-oriented mindset.
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Job Summary
Develop end-to-end Data Science and Machine Learning solutions to support business imperatives.
Scan and capitalize on new products, platforms, processes, and algorithms which can bolster traveler, supplier, travel manager, travel consultant experience.
Flexible benefits are tailored to each country and start the day you do.
Matching Summary
Match Score: 85
Amex GBT is seeking an AI/ML Solutions Engineer based in Gurgaon, India, to develop and implement innovative AI strategies in a collaborative and inclusive workplace. The ideal candidate should possess expertise in MLOps, big data solutions, and machine learning, with strong communication skills and a growth-oriented mindset.
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Skills & Requirements
Must-have
MLOPs and Big data solutions
Python, Machine Learning, Cloud platforms
Gen AI, Hive, CI/CD pipelines
Docker containerization and Kubernetes
Analyzing large amounts of data
Nice-to-have
Growth-oriented, lean-startup attitude
Collaborating and influencing senior leaders
Passionate to develop, teach, learn, operationalize
Strong sense of ownership
Citizen decision science development
Key Requirements
Expertise with MLOPs
Subject matter knowledge in statistics, analytics, big data, data science, machine learning, deep learning, cloud and full stack technologies
Hands-on experience analyzing large amounts of data
Expertise in MLOPs, Python, Machine Learning, Cloud platforms(AWS/Azure/GCP), Gen AI, Hive, CI/CD pipelines (GitHub Actions, Jenkins, GitLab), Docker containerization for Flutter apps and Kubernetes mobile app deployment
Degree or equivalent experience in statistics, computer science, mathematics, operations research, economics, engineering or information science
Strong portfolio of GitHub, Kaggle, IP contributions