Machine Learning Engineer at Agility Partners

The Machine Learning Engineer will play a pivotal role in developing and enhancing a cutting-edge AWS-based machine learning platform for a prominent financial services organization. This position focuses on implementing machine learning solutions that empower data scientists and ML engineers, facilitating innovative analytics and predictive modeling across the business. In this role, you will engage in day-to-day tasks such as designing and deploying machine learning models, collaborating with data engineers to optimize data pipelines, and leveraging cloud infrastructure on AWS. Your technical expertise in Python, Automation, and ML Operations will be vital as you work on software development and ensure the reliability of machine learning applications. You will also be involved in data science projects that drive business decisions and create value. As part of a dynamic team, you will have opportunities to grow your skills in data science and cloud technologies while collaborating with experts from various domains. The role allows for professional development through hands-on experience and exposure to innovative projects that shape the future of financial services. This role is unique as it combines both the technical aspects of machine learning with the strategic needs of the financial sector, offering a chance to make a significant impact in a fast-paced environment.

Design and implement machine learning models to enhance financial services solutions. Build robust data pipelines utilizing cloud infrastructure for seamless data engineering. Lead cross-functional teams to integrate ML operations into existing software development processes. Architect scalable AWS solutions to support high-volume data processing and analytics. Drive automation initiatives to optimize machine learning workflows and reduce manual intervention. Develop and maintain Python scripts for data analysis and model evaluation. Collaborate with stakeholders to identify business requirements and translate them into technical specifications.

Competitive salary package with comprehensive health insurance benefits. Flexible health plans that cater to your individual needs and family. Generous paid time off policy to promote work-life balance and well-being. Remote work options available to accommodate diverse lifestyles and preferences. Opportunities for professional development through training and certifications. Access to conferences and workshops to enhance your skills in AI/ML. Inclusive company culture that values diversity and innovation. Fun office perks such as team-building events and wellness programs.