Description:
Jobs for Humanity is collaborating with FIS Global to build an inclusive and just employment ecosystem. We support individuals coming from all walks of life.
Company Name: FIS Global
Position Type : Full time
Type Of Hire : Experienced (relevant combo of work and education)
Travel Percentage : 0%
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 a 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. You will have at least 3 years of experience in Machine Learning & ML OPS and proven experience in deploying models on Azure Cloud. A Master's in Data Science or Machine Learning & experience in the Fintech Capital market space is an added advantage.
What you will be doing:
- Participating in Daily Scrum for developing Machine learning solutions. Working in Agile development framework.
- Understanding the business problems and working with various business & technical stakeholders.
- Doing exploratory Data analysis and understanding metadata.
- Creating and reviewing ML Models.
- Understanding Supervised Learning, Unsupervised Learning, and Reinforcement learning.
- Understanding Generative AI and prompt engineering.
- Model fine-tuning.
- Partnering with Data Engineers, ML engineers, developers, and business teams to test your models in production.
- Building and maintaining operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.
- Administering and troubleshooting Linux-based, Dockerized, Kubernetes-orchestrated systems.
- Maintaining/Supporting the solution post development.
What You Will Need:
- Experience with 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 Azure Services: Chat GPT 3.5 Turbo, Azure AI Search, Azure Content Safety, Cosmos DB, Blob storage, Data Bricks, Azure Kubernetes services, 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; familiar with Python Libraries like SCIKIT Learn, Tensorflow, Keras, PyTorch, scikit-learn, seaborn, matplotlib.
Added bonus if you have:
- Experience Working in the financial industry.
What we offer you:
- An opportunity to make your mark in a world-leading global Fintech.
- A flexible hybrid environment with a broad spectrum of opportunities.
- A competitive salary package with medical and personal insurances and employee shareholding.
Privacy Statement
FIS is committed to protecting the privacy and security of all personal information that we
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