568 - Machine Learning Engineer (GenAI - AWS)

Position Description

As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.

Duties and Responsibilities:

• Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.

• Automate machine learning pipelines and monitor and optimize machine learning solutions.

• Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.

• Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.

• Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.

• Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.

• Write efficient and well-organized software to ship products in an iterative, continual-release environment.

• Contribute to and promote good software engineering practices across the team.

• Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.

• Actively contribute to and re-use community best practices.

• Monitor, debug, track, and resolve production issues.

• Work with project managers to ensure that projects proceed on time and on budget.

• Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact.

• Complete other responsibilities as assigned.

Basic Qualifications

Minimum of seven years’ post-secondary education or relevant work experience

Other Required Qualifications:

• Minimum of seven years’ post-secondary education or relevant work experience

• Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.

• Minimum of five years’ software development experience with Python and SQL.

• Minimum of three years’ experience in developing and deploying machine learning systems into production in a cloud environment.

• Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.

• Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).

• Knowledge of data pipeline and workflow management tools.

• Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.

Other Preferred Qualifications:

• Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.

• Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.

• Relevant working experience with Docker and Kubernetes.