About the Company: 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. FIS is a leading Fintech provider with wide range of Products and Services. 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
FIS is seeking an experienced and dynamic MLOps engineer, who will be a subject matter expert in the development of a Cloud Based solution/product. The candidate should have at least 5 years of experience in Machine Learning & ML OPS and proven experience in deploying model on Azure Cloud. Masters is Data Science or Machine learning & experience in Fintech Capital market space is an added advantage.
What you will be doing
- Participate in Daily Scrum for developing Machine learning solution. Working in Agile development framework
- Understanding the business problems and working with various business & Technical stakeholders.
- Doing exploratory Data analysis and understanding meta data.
- Create and review ML Models.
- Understanding on Supervised Learning, Unsupervised Learning and Reinforcement learning
- Understanding on Generative AI and prompt engineering
- Model fine tuning.
- Partner with Data Engineers, ML engineers, developers, and business teams to test your models in production.
- Build and maintain operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.
- Administer and troubleshoot Linux based, Dockerized, Kubernetes-orchestrated systems.
- Maintaining/Supporting the solution post development.
Required Skillsets:
Skills
Description
Time Series forecasting
Models: ARMA, ARIMA, SARIMA, Vector Auto regression, Smoothing, Kalman Filtering,
Anomaly Detection
Isolation forests, SVM, Decision Trees and Ensemble Learning
Deep Learning Basics
RNN, LSTMs, Transformer Architecture, BERT, GPT, Roberta
Generative AI Prompt engineering
Defining & working on prompts, Fine Tuning LLMs, RAG
Lang Chain
Chain, Prompts, Agents, Vector stores, Document loaders
Deploying ML Model on Cloud
Model end point deployment, Docker, Understanding REST APIs, Bit bucket
Cloud Basics Azure
Data Bricks, Azure Kubernetes services, Blob storage, Experience in creating ML pipelines on Azure.
Good Communication Skills
Listening, Comprehending, Speaking.
Understanding of Application Architecture/Microservices
Application Architecture, Microservice based Architecture.
Programming
Python, SQL
Added bonus if you have:
- Experience Working in the financial industry.
What we offer you
- A multifaceted job with a high degree of responsibility and a broad spectrum of opportunities
- A competitive salary and benefits
- A variety of career development tools, resources, and opportunities
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we process in order to provide services to our clients. For specific information on how FIS protects personal information online, please see the Online Privacy Notice.
Sourcing Model
Recruitment at FIS works primarily on a direct sourcing model; a relatively small portion of our hiring is through recruitment agencies. FIS does not accept resumes from recruitment agencies which are not on the preferred supplier list and is not responsible for any related fees for resumes submitted to job postings, our employees, or any other part of our company.
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