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Machine Learning Engineer with financial background

Location: Remote in Europe

About the company

Our client is the go-to AI-based advisor for every leader.
In the complex landscape of global leadership, information overload and time constraints hinder leaders from accessing personalized, relevant insights. Our platform seamlessly transforms data chaos into personalized and actionable insights to empower leaders worldwide. We offer curated AI-powered insights, anytime and anywhere, to radically change the advisory space and deliver unparalleled value.

Our client is looking for a skilled ML Engineer with a keen interest in advising global business leaders to help shape the future of AI technology.

They are specialized financial services advisory and strategic investing platform advising companies for market leadership. Their differentiated offerings and capabilities are designed to help clients and portfolio companies achieve industry leadership and profitable growth.

Position Overview

We’re seeking a dedicated and highly skilled Machine Learning Engineer to join our team. If you have a strong background in finance and are passionate about applying machine learning to solve complex financial problems, we want you. This role involves hands-on work in data ingestion, pipeline development, data storage, and the application of ML models to extract actionable insights and enhance predictive accuracy.

What You’ll Do

 Data Ingestion and Preprocessing: Collaborate on sourcing relevant financial and non-financial data, developing processes to collect, clean, and prepare data for analysis as well as creating robust ingestion processes and pipeline.

 Data Storage and Management: Design scalable data storage solutions, maintaining data integrity and optimizing databases to support ML operations.

 Machine Learning Model Development: Dive into advanced ML techniques to analyze data, identify sentiments, categorize and classify information, and discover patterns.

 Model Optimization: Apply tuning, validation, and regularization to improve model performance, ensuring robustness and reliability.

 Model Deployment: Deploy ML models into production systems, working closely with the team to ensure seamless integration and support the maintenance and monitoring of deployed models to guarantee their ongoing effectiveness.

Who Weʼre Looking For

Why Joining?

Impact: Play a pivotal role in influencing top business leaders with cutting- edge machine learning based insights.

Growth: Be part of a rapidly growing early stage startup where your contributions directly influence the company’s direction and success.

Learning: Continuous learning opportunities in a small close knitted team that moves quickly and stays nimble.

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