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.