What are the responsibilities and job description for the Senior Lead Machine Learning Engineer position at Haystack?
Join a leading financial services company at the forefront of technology innovation, dedicated to revolutionising banking through advanced data and machine learning. This organisation is committed to building cutting-edge solutions that impact millions of customers, offering a dynamic environment for growth and innovation.
The Role
The Role
- Design, build, and deliver ML models and components to solve real-world business problems.
- Influence ML infrastructure decisions with deep understanding of ML modeling techniques.
- Solve complex problems by developing and validating ML models and automating deployments.
- Collaborate within an Agile team to develop state-of-the-art big data and ML applications.
- Retrain, maintain, and monitor models in production environments.
- Leverage and build cloud-based architectures to deliver optimized ML models at scale.
- Bachelor's Degree.
- At least 8 years of experience in data-intensive solutions using distributed computing.
- At least 4 years of programming experience with Python, Scala, or Java.
- At least 3 years of experience building, scaling, and optimizing ML systems.
- At least 2 years of experience leading teams developing ML solutions.
- Experience with public cloud platforms such as AWS, Azure, or Google Cloud Platform is a plus.
- Opportunity to work on challenging and impactful machine learning projects.
- Continuous learning and application of the latest innovations in ML engineering.
- Collaborative and cross-functional Agile team environment.
- Competitive salary and comprehensive benefits package.
Salary : $229,900 - $262,400