Machine Learning (ML) Engineer (Research / Statistical) – Arlington, Virginia (On-Site) – Excellent Salary + Extremely Competitive Package

Machine Learning (ML) Engineer (Research / Statistical) – Arlington, Virginia (On-Site) – Excellent Salary + Extremely Competitive Package

This company who act as the legal, tax, regulatory, and business news subsidiary for one of the US’s leading financial services powerhouses are currently seeking Machine Learning (ML) Engineers to join their team of dedicated professionals

This is an excellent opportunity for an experienced Machine Learning (ML) Engineer to take that next step into a challenging position with a world-renowned organisation.

About the Company:

They have an instantly recognisable household-name organisation backing them.

This company with routes tracing back to nearly 100 years ago, they have an excellent reputation in the legal, tax, regulatory space.

With over 1000 employees, they are one of the most established companies in their space in their region.

The company have a lot of corporate responsibility and are actively involved in several, very important charitable ventures.

About the Machine Learning (ML) Engineer Vacancy:

They are looking for a senior Machine Learning (ML) Engineer who will innovate and deliver valuable AI and ML solutions for their customers.

Responsible for the design, development, integration, delivery, and support of complex ML solutions, this individual must be a self-directed professional.

In addition to a depth of ML and AI knowledge they must possess excellent communication, leadership, and influencing abilities with a demonstrated ability to guide technical direction across multiple teams.

Responsibilities:

1. Architect, design and develop machine learning prediction models to address business challenges, adhering to INDG best practices with integration of AWS services.
2. Collaborate with domain experts and product managers to understand business needs and map business problems to ML solutions
3. Learn groundbreaking research in advanced ML topics to solve complex problems quickly.
4. Act as the principal point-of-contact for ML projects and provide technical guidance and mentoring to junior team members.
5. Design and guide feature design and implementation of features for the entire team and deliver solutions for cross-team initiatives.
6. Use metrics to make data-driven decisions.
7. Write and maintain production-quality code.
8. Participate in special projects and perform other duties as assigned.

Ideal Requirements for the Machine Learning (ML) Engineer Vacancy:

1. Master’s or PhD in Computer Science, Engineering, Mathematics, Machine Learning, similar field of study or equivalent work experience.
2. Several years of software development experience and/or commensurate skills building commercial and ML applications.
3. Several years’ experience and/or commensurate skills with an object-oriented programming language such as Java or Python, ML/AI frameworks, libraries, data structures and data modelling techniques.
4. Extensive experience in all phases of machine learning application lifecycles from problem mapping and scoping to data gathering and preparation to optimizing model performance.