EY - GDS Consulting - AIA - Data Scientist -MLOps - Manager

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. 

Career Family   -    AI&D : Data Scientist ML Ops Engineer

Role Type  Full Time

Experience: 6-10+ years

The Opportunity

We are the only professional services organization who has a separate business dedicated exclusively to the financial services marketplace. Join Digital Engineering Team and you will work with multi-disciplinary teams from around the world to deliver a global perspective. Aligned to key industry groups including Asset management, Banking and Capital Markets, Insurance and Private Equity, Health, Government, Power and Utilities, we provide integrated advisory, assurance, tax, and transaction services. Through diverse experiences, world-class learning and individually tailored coaching you will experience ongoing professional development. That’s how we develop outstanding leaders who team to deliver on our promises to all of our stakeholders, and in so doing, play a critical role in building a better working world for our people, for our clients and for our communities. Sound interesting? Well, this is just the beginning. Because whenever you join, however long you stay, the exceptional EY experience lasts a lifetime.

We are seeking a highly skilled ML Ops Engineer (Data Scientist) with strong platform ownership capabilities to support, enhance, and operationalize machine learning solutions in a mining domain environment. This role combines ML engineering, platform operations, and application development, with a focus on deploying scalable ML solutions, enabling decision-support systems, and supporting domain-specific analytics.

Key Responsibilities

ML Ops & Platform Engineering

• Own and manage ML lifecycle workflows using MLflow on AWS.
• Design, deploy, and maintain production-grade ML pipelines.
• Enable model versioning, tracking, and reproducibility.
• Ensure reliability, scalability, and performance of ML platforms.

Application Development & Support

• Develop and maintain applications using:
  • Python / RMS Python
  • Plotly Dash for UI and visualization
• Build interactive dashboards to support decision-making workflows.
• Provide ongoing L2/L3 support and enhancements for deployed ML solutions.

Cloud Engineering (AWS)

• Design and implement solutions leveraging AWS services:

Storage

• S3
• RDS (Aurora PostgreSQL)
• DynamoDB

Compute

• ECS
• Lambda

Workflow Orchestration

• Step Functions
• Ensure efficient integration across cloud components and ML workflows.

Data & Workflow Integration

• Integrate ML models with data pipelines and decision systems.
• Support end-to-end workflows from data ingestion to model deployment and UI consumption.
• Work closely with engineering teams to ensure seamless platform integration.

Monitoring & DevOps (Nice-to-Have)

• Implement and enhance monitoring using:
  • CloudWatch
• Support DevOps practices using:
  • CloudFormation
  • ECR
  • CloudShell
• Contribute to CI/CD pipelines for ML workflows and applications.

Domain-Specific Responsibilities

• Apply mining domain knowledge to:
  • Geological modelling
  • Orebody analysis
  • Decision support systems
• Translate mining workflows into data-driven and ML-enabled solutions.
• Collaborate with domain experts to ensure solutions are practical and impactful.

Required Skills & Qualifications

Technical Skills

• Strong experience in:
  • Python (including RMS Python)
  • Plotly Dash for UI development
  • MLflow (preferably on AWS)
• Hands-on expertise with AWS services:
  • S3, RDS (Aurora PostgreSQL), DynamoDB
  • ECS, Lambda
  • Step Functions

• ML & Engineering Competency
• Experience building and operationalizing machine learning models in production
• Strong understanding of:
  • ML lifecycle management
  • Workflow orchestration
  • Data pipelines and integration

Domain Expertise (Mandatory)

• Proven experience in mining domain, specifically:
  • Geological modelling
  • Orebody understanding
• Strong grasp of:
  • Mining workflows
  • Decision support systems

Core Competencies

• Strong problem-solving and analytical skills
• Ability to manage platform ownership responsibilities
• Excellent collaboration and stakeholder communication skills
• Ability to work in complex, domain-driven environments

Nice to Have

• Experience with DevOps and Infrastructure as Code
• Exposure to monitoring and logging frameworks
• Experience working in large-scale industrial or mining operations
• Familiarity with data governance and operational systems

Education:

Degree: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Data Science, Engineering, Mathematics, or a related field, or equivalent practical experience

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career.

• Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
• Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
• Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
• Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.

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.