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Manager - Machine Learning Ops
EY
Toronto, ON
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At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

The opportunity

We are seeking a Manager – Machine Learning (ML) Ops. We are seeking passionate, entrepreneurial individuals to join us on an exciting journey of evolving our next generation Data Science and Big Data platform and building an expanding set of Managed Data Science Services across multiple industries.

You will help our clients navigate the complex world of modern data science and analytics. We’ll look to you to provide our clients with a unique business perspective on how data science and analytics can transform and improve their entire organization - starting with key business issues they face. This is a high growth, high visibility area with plenty of opportunities to enhance your skillset and build your career.

Your key responsibilities

The role will be responsible for proactively deploying AI and Machine Learning solutions within Client portfolios, along with building, validating, and monitoring advanced descriptive, predictive, and prescriptive machine learning models, including Risk Management, Customer Experience and Journey analytics, Digital Analytics, Customer Segmentation, Customer Acquisition, Churn Management, Next Best Action and many others.

Skills and attributes for success

Combine machine learning systems development and deployment to systematize and simplify the continuous integration and delivery of high-performing ML algorithms in production
Utilize machine learning and statistical techniques to generate scalable ML solutions
Create end-to-end (Data/ML/Dev) Ops pipelines grounded on comprehensive understanding of cloud, AI solution lifecycle, and business problems to make sure ML solutions are delivered predictably and efficiently
Assist the development of ML solution by choosing and utilising the suitable SDLC methodologies, and collecting business requirements that pertinent to ML
Perform best practices continuous integration/continuous delivery as well as version control
Standardize and monitor ML models using leading data science tools and technologies
Support in administering and working within EY code of ethics to tackle matters such as privacy, data ethics, and discrimination
Prototype and showcase client solutions in customer environments
Rationalise model results to both technical and non-technical audiences
Team up with data scientists, data engineers and other key client stakeholders in a quick-paced cross-functional environment
Stay in touch with the new tools/frameworks and relevant industry trends in the field of ML

Knowledge and/or keen interest in topics such as:
Banking products and services and/or investment products and the key risks associated with these
Risk management practices across major risk types such as Credit Risk, Market Risk, Operational Risk, Interest Rate Risk and Liquidity Risk
Risk quantification methods for market risk (e.g. Value-at-Risk, Expected Shortfall) credit risk (e.g. PD, LGD and EAD)
Sustainable finance, including the incorporation of ESG factors into key risk management policies, processes, methodologies, quantitative models and tools
Risk-based business planning and performance measurement
Financial analysis, key performance indicators, and financial accounting
Regulatory requirements in the banking industry
Quantitative & other programming, (e.g. R, Python, SAS, SPSS, SQL) and valuation platforms (e.g. Bloomberg, Reuters, FinCAD or SuperDerivatives)

To qualify for the role, you must have

Firm understanding of the ML lifecycle and concepts
5+ years of experience with implementation and designing (building, containerizing, and deploying to production end to end automated ML and data pipelines) of automated cloud solutions
5+ years of experience with TensorFlow, Keras, Pytorch and other deep learning frameworks
5+ years of experience with version control systems such as Git
Comprehensive experience working in an Agile development environment
Comfortable using Python, R, and other common ML languages
Comfortable working with both structured and unstructured data (SQL, NOSQL)
Production experience with Apache Spark, Hadoop and other Big Data tools
5+ years of hands-on experience with CI/CD for ML, web APIs, and serverless deployment
Understanding of Linux OS and Windows servers
Expertise in Docker, Jenkins, Kubernetes, and other DevOps tools
Exceptional analytical and problem-solving skills
Bachelor's degree or equivalent experience

Ideally, you’ll also have

A certification from AWS / Azure / GCP in Cloud Architecture / DevOps / Engineering / ML.
Comfortable working with Kubeflow or MLflow
Familiarity working with machine learning pipelines (Azure ML)
Understanding of the latest Natural Language Processing or Computer Vision related algorithms

What we look for

We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Data Science and Big Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you.

What EY offer

At EY, our Total Rewards package supports our commitment to creating a leading people culture - built on high-performance teaming - where everyone can achieve their potential and contribute to building a better working world for our people, our clients and our communities. It's one of the many reasons we repeatedly win awards for being a great place to work.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business. In addition, our Total Rewards package allows you decide which benefits are right for you and which ones help you create a solid foundation for your future. Our Total Rewards package includes a comprehensive medical, prescription drug and dental coverage, a defined contribution pension plan, a great vacation policy plus firm paid days that allow you to enjoy longer long weekends throughout the year, statutory holidays and paid personal days (based on province of residence), and a range of exciting programs and benefits designed to support your physical, financial and social well-being. Plus, we offer:

Support and coaching from some of the most engaging colleagues in the industry
Learning opportunities to develop new skills and progress your career
The freedom and flexibility to handle your role in a way that’s right for you

EY Way of Work and your health and safety

EY Way of Work recognizes flexibility in the way we collaborate, innovate and deliver with the ability to work in-person and remotely. To support a healthy and safe in-person working environment, EY has implemented various layers of health and safety controls while working in the office or at client or other locations. A critical component of EY’s workplace safety program includes our COVID-19 vaccination policy which requires all personnel to be fully vaccinated against COVID-19 unless an accommodation based on a reason protected by human rights legislation is provided.

If you can demonstrate that you meet the criteria above, please contact us as soon as possible.

The exceptional EY experience. It’s yours to build.

EY | Building a better working world

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.

Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.

Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
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