Cloud-Based MLOps Engineer

3 days ago

Sydney, New South Wales, Australia FIS Full time
About the Role:
FIS is seeking an experienced and dynamic MLOps engineer to join our team. As a subject matter expert in developing Cloud-Based solutions, you will have at least 3 years of experience in Machine Learning & ML OPS and proven experience in deploying models on Azure Cloud.

Key Responsibilities:
• Participate in daily scrums for developing Machine Learning solutions, working in an Agile development framework
• Understand business problems and collaborate with various stakeholders
• Perform exploratory data analysis and understand metadata
• Create and review ML Models
• Develop expertise in Supervised Learning, Unsupervised Learning, and Reinforcement Learning
• Stay up-to-date with Generative AI and prompt engineering
• Fine-tune models and work with Data Engineers, ML engineers, developers, and business teams to test models in production

Requirements:
• 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: Define and work on prompts, fine-tune LLMs, RAG
• Lang Chain: Chain, Prompts, Agents, Vector stores, Document loaders
• Deploying ML Models on Cloud: Model endpoint deployment, Docker, understanding REST APIs, Bitbucket
• Cloud Azure Services: Chat GPT 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

What We Offer:
An opportunity to make your mark in a world-leading global Fintech company,
A flexible hybrid environment with a broad spectrum of opportunities,
A competitive salary package with medical and personal insurances and employee shareholding.

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