FIS
FinTech
SeniorDataEngineer(AI/ML)
Neural analysis suggests this role is
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“Senior Data Engineer (AI/ML) at FIS. Skills: Databricks, Azure, AI/ML, Data Engineering. building scalable data platforms. delivering AI/ML solutions”
What You'll Achieve.
delivering business-driven insights
Industry & Context.
problem-solving
What They're Looking For.
Must Have
Data Engineering and AI/ML experience, Databricks, Python, SQL, Spark, Azure cloud services, CI/CD, Docker, Kubernetes, MLOps practices
Nice to Have
TensorFlow, PyTorch, Scikit-learn
What You'll Do.
building scalable data platforms
delivering AI/ML solutions
end-to-end solution delivery
driving cloud architecture
collaborating with stakeholders
delivering business-driven insights
Design and build scalable data pipelines
Develop and deploy AI/ML models across the full lifecycle
Architect cloud-native solutions on Azure
and Infrastructure as Code
Integrate ML solutions using APIs and microservices
Ensure system reliability through monitoring and observability
How You'll Work.
Team & Collaboration
mentoring teams; collaborating with stakeholders; working in agile environments
Full Job Description
**_Senior Data Engineer(AI/ML)_** Are you curious, motivated, and forward-thinking? At FIS you’ll have the opportunity to work on some of the most challenging and relevant issues in financial services and technology. Our talented people empower us, and we believe in being part of a team that is open, collaborative, entrepreneurial, passionate and above all fun. ** _About the Role :_** Senior Data Engineer / AI-ML Lead role focused on building scalable data platforms and delivering AI/ML solutions using Databricks and Azure. Responsible for end-to-end solution delivery, from data engineering to model deployment, while driving cloud architecture, performance, and reliability. The role also involves mentoring teams and collaborating with stakeholders to deliver business-driven insights. **_What you will be doing :_** * Design and build scalable data pipelines using Databricks (Spark, Delta Lake) * Develop and deploy AI/ML models across the full lifecycle * Architect cloud-native solutions on Azure (Databricks, ADLS, Azure ML) * Implement CI/CD, automation, and Infrastructure as Code * Integrate ML solutions using APIs and microservices * Ensure system reliability through monitoring and observability * Collaborate with stakeholders and mentor team members _**What you bring :**_ * 6 to 9 years of experience in Data Engineering and AI/ML * Strong expertise in Databricks, Python, SQL, Spark * Hands-on experience with Azure cloud services * Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn) * Knowledge of CI/CD, Docker, Kubernetes, and MLOps practices * Strong analytical, problem-solving, and leadership skills * Experience in mentoring teams and working in agile environments ** _What we offer you:_** * An exciting opportunity be a part of World’s Leading FinTech Product MNC * To be a part of vibrant team and to build up a career on core banking/payments domain * A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities * A
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