Machine Learning Engineer

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 frameworkUnderstanding 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 learningUnderstanding on Generative AI and prompt engineeringModel 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 LearningDeep Learning Basics: RNN, LSTMs, Transformer Architecture, BERT, GPT, RobertaGenerative AI Prompt engineering: Defining & working on prompts, Fine Tuning LLMs, RAGLang Chain: Chain, Prompts, Agents, Vector stores, Document loadersDeploying ML Model on Cloud: Model end point deployment, Docker, Understanding REST APIs, Bit bucketCloud 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 , matplotlibAdded bonus if you have:Experience Working in the financial industry.What we offer youAn opportunity to make your mark in a world leading global FintechA flexible hybrid environment with a broad spectrum of opportunitiesA competitive salary package with medical and personal insurances and employee shareholding

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