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EY GDS – Data and Analytics (D&A) – Senior – ML Engineer

As part of our EY-GDS D&A (Data and Analytics) team, we help our clients solve complex business challenges with the help of data and technology. We dive deep into data to extract the greatest value and discover opportunities in key business and functions like Banking, Insurance, Manufacturing, Healthcare, Retail, Manufacturing and Auto, Supply Chain, and Finance.

The opportunity

We’re looking for candidates with strong technology and data understanding in ML Operations space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team.

Your key responsibilities

• Develop standardized practices for developing and deploying Machine Learning models, including LLMs in Azure and other cloud environment.
• Interact with senior client technology leaders, understand their business goals, create, architect, propose, develop, and deliver technology solutions.
• Define and develop client specific best practices around model management, model monitoring and model governance.
• Recommend design alternatives for data pipeline and ML pipeline development.
• Design and optimize model codes for faster execution.

Skills and attributes for success

• 3-7 years of applied Machine Learning experience with operationalization skills
• Strong experience in designing and building RESTAPIs with Python (e.g., Flask, FastAPI)
• Extensive experience building and maintaining CI/CD/CT pipelines. 
• Hands-on programming experience in Python
• Understanding of ML and Gen AI – E2E Lifecycle
• Hands on experience with containerization and orchestration tools and concepts
• Hands-on Experience in at least one of the ML Ops tools like ML Flow or Kubeflow or ZenML or BentoML
• Hands-on experience in model monitoring, validation using cloud native or open-source tools.
• Experience in deployment of ML models in Azure or similar cloud platforms or on-prem using cloud native tools or open source.
• Experience in handling big data and building ML pipeline.
• Understanding of data engineering practices (Good to have)
• Experience with BI, and data analytics databases (Good to have)
• Experience in converting business problems/challenges to technical solutions considering security, performance, scalability etc.

To qualify for the role, you must have.

• Be a computer science graduate or equivalent with > 2 years of industry experience.
• Have working experience in an Agile base delivery methodology.
• Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution.
• Excellent communicator (written and verbal formal and informal).
• Ability to multi-task under pressure and work independently with minimal supervision.
• Strong verbal and written communication skills.
• Must be a team player and enjoy working in a cooperative and collaborative team environment.
• Adaptable to new technologies and standards.
• Participate in all aspects of solution delivery life cycle including analysis, design, development, testing, production deployment, and support.

Ideally, you’ll also have

• Client management skills
• Solutioning skills

What we look for

• People with technical experience and enthusiasm to learn new things in this fast-moving environment.

What working at EY offers

At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.

You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around
• 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 | 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.