We are 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 & MLOps and proven experience in deploying models on Azure Cloud. A Master's degree in Data Science or Machine Learning and experience in the Fintech/Capital Markets space would be advantageous. Please note only citizens and permanent residents will be considered for this role. What You Will Be Doing: Participating in daily Scrum meetings to develop Machine Learning solutions within an Agile framework.
Collaborating with various business and technical stakeholders to understand business problems.
Performing exploratory data analysis and understanding metadata.
Creating, reviewing, and fine-tuning ML models.
Applying knowledge of Supervised, Unsupervised, and Reinforcement Learning.
Understanding Generative AI and prompt engineering.
Working with Data Engineers, ML Engineers, Developers, and business teams to test models in production.
Building and maintaining operational tools for deployment, monitoring, and analysis of Azure infrastructure and systems.
Administering and troubleshooting Dockerized, Kubernetes-orchestrated Linux-based systems.
Maintaining and supporting the solution post-development.
What You Will Need: 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 : RNN, LSTMs, Transformer Architecture, BERT, GPT, RoBERTa.
Generative AI : Prompt engineering, fine-tuning LLMs, RAG.
LangChain : Chains, prompts, agents, vector stores, document loaders.
Cloud Deployment : Model endpoint deployment, Docker, REST APIs, Bitbucket.
Azure Services : Azure AI Search, Cosmos DB, Blob Storage, DataBricks, Azure Kubernetes Services, ChatGPT 3.5 Turbo.
Programming Skills : Python, SQL; experience with libraries such as Scikit-learn, TensorFlow, Keras, PyTorch, Seaborn, and Matplotlib.
Soft Skills : Strong communication skills, both written and verbal, with an understanding of application and microservice-based architecture.
Added Bonus: Experience working in the financial industry.
What We Offer: An opportunity to make an impact in a leading global fintech environment.
A flexible hybrid work environment with a wide range of opportunities.
A competitive salary package with benefits, including medical insurance and employee shareholding.
If you are interested, please make an application and Experis will be in contact.
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