Machine Learning Engineer
vor 2 Monaten
This is a Machine Learning Engineer role with one of the leading companies in AU right now 🔥 -- FIS -- with an amazing team. They are continuing to grow rapidly. This is the chance to join right as the 🚀 takes off.
More About the Role at FIS 🧐🧐
**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 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:** - Participating 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. - Creating and reviewing ML Models. - Understanding on Supervised Learning, Unsupervised Learning and Reinforcement learning - Understanding on 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
🚨🚨 If you don’t think you're a perfect fit, you should still sign up to Hatch and create a profile, we'll match you to other roles that suit your profile.
Hatch exists to level the playing field for people as they discover a career that’s right for them. We model this in our hiring process for our partners like FIS.
✅ Applying here is the first step in the hiring process for this role at FIS.
We do not discriminate on the basis of gender identity, sexual orientation, cultural identity, disability, age, or any other non-merit factors. To put it simply, Hatch is for everyone.
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