Senior MLOps engineer, (GCS)

What is the opportunity?

The exponential growth of our global digital landscape has resulted in a rapidly increasing threat surface. In tandem, threat actors are attacking with increasing scale, sophistication and automation. Traditional solutions, mostly based on signatures and predetermined rules, are therefore incapable of handling complex threat scenarios. Moreover, they lack the required scalability, contextual information and sufficient transparency into events and activities, which are essential for carrying out an effective investigation. To overcome these challenges, the JSOC program at the RBC takes an alternative approach by leveraging advanced Machine Learning techniques and big data technologies to model and predict the behavior of clients, users and/or devices from the data, hence delivering Proactive Threat Detection and Response.

What will you do?

• Responsible for the development, deployment and maintenance of scalable production ML pipelines using enterprise offered MLOps tools. Also work with business partners and stakeholders to understand existing data pipeline, processes, technology, operating procedure etc.
• Develop, test, automate and Integrate ML model with downstream business applications leveraging big data, GPU, cloud and other enterprise supported applications.
• Work with business stakeholders, internal and external QA to ensure that the final product is of the highest quality and is able to meet pre-defined business objects.
• Collaborate with business IT team, application developers and data engineers to deploy a scalable batch/real-time model to production, perform end to end integration testing.
• Contribute to successful completion of projects by identifying risks and developing/recommending mitigation strategies. Collaborate with data scientist, product owners to optimize, test, deploy and integration of ML/Analytics products with existing business applications.
• Support the development of a proactive approach to threat detection and/or misuse identification.
• Participate in the creation of detailed plans and accurate estimates towards the development, testing, and implementation of proactive threat detection capabilities.
• Design and architect scalable and efficient machine learning systems and services that integrate with existing infrastructure, focusing on automation, scalability, and reliability
• Responsible for creating and designing end-to-end machine learning pipelines, ensuring seamless data flow from data collection to model deployment

What do you need to succeed?

Must-have:

• A background in Computer Science, Computational Science, Mathematics, or a related field.
• Solid knowledge of general Machine Learning concepts both in theory and application and experience with advanced topics like Deep Learning, LLM, etc.
• Ability to work across the full stack and move fluidly between programming languages and MLOps technologies.
• Experience developing CI/CD pipeline for AI/ML models, deploying, and supporting models in production.
• Proficient in Python programming and Unix Scripting, with extensive experience in PySpark for large-scale data processing and PyTorch for building and deploying deep learning models.
• Experience with big data processing technologies like Spark and relational database like MSSQL.
• Knowledge of training/deploying models on High-Performance Computing and GPU machines.
• Experience with data preprocessing, image processing, hyperparameter optimization, code optimization feature importance analysis, transfer learning, and anomaly/outlier detection.

Nice-to-have:

• Knowledge of network and information security. 
• Ability to develop statistical tests and run controlled trials.
• Experience with visualization technologies (e.g.: Matplotlib, Python DASH, etc).
• knowledge of orchestration tools such as Airflow
• Experience with Github for version control
• Experience in AWS (e.g. S3, Lambda, EC2, SageMaker).
• NLP Experience.

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work, to take on progressively greater accountabilities and to building close relationships with clients
• Access to a variety of job opportunities across business and geographies

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Job Skills

Amazon Elastic Compute Cloud (Amazon EC2), Amazon S3, Amazon Sagemaker, Apache Airflow, Apache Hadoop, Applied Machine Learning, AWS Architecture, AWS Lambda, CI/CD, Data Visualization, Deep Learning Algorithms, Git, Large Language Models (LLMs), Machine Learning Operations, Machine Learning Techniques, Natural Language Processing (NLP), PySpark, PyTorch

Additional Job Details

330 FRONT ST W:TORONTO

TORONTO

Canada

37.5

Full time

TECHNOLOGY AND OPERATIONS

Regular

Salaried

2024-08-09

2024-08-30