Frontend Engineer

• You will be responsible to develop large and complex web applications architecture, composed of components, standards that govern which how data is represented, arranged, integrated and used by users, including the design, build and documents to address business requirements
• You will be responsible Create sound project plans with the business by engaging with multidisciplinary teams, and by identifying, managing and mitigating risk
• You will be responsible to develop relationships across the business to understand data requirements, applies deep technical knowledge of data management to solve business problems in areas where solutions may not currently exist, necessitating new solutions / ways of working / technologies and proactively articulating these to the business
• Provides innovative and practical designs for the design and integration of new data architecture for the enterprise, applying advanced technical capabilities
• Building reusable components and front-end libraries for future use.
• Guide others in resolving complex issues in data architecture and solves complex, escalated aspects of a project
• Translating designs and wireframes into high quality code.
• Monitors the progress and the quality of the project.
• Reviews and develops due diligence to confirm the developed solution complies with architectural design
• Maintaining software through product lifecycle including design, development, verification, and bug fixes.
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers.

Senior React Developer

Manager

• Lead end-to-end workstreams with US and global teams to deliver large-scale transformation programs for Life Sciences clients
• Contribute your sector expertise and consulting skills to help design PMO/EPMO/Transformation Office capabilities
• Strengthen program and portfolio delivery, and enable data-driven decision-making
• Engage in strategic conversations with clients, helping to identify opportunities for EY to add value and contribute to business development

Manager – PMO Lifescience

Machine Learning Engineer

• Design, build, and maintain end-to-end MLOps and LLMOps pipelines covering experimentation, training, deployment, monitoring, and retraining.
• Operationalize ML and LLM models for production environments with high availability and scalability.
• Implement best practices for model versioning, artifact management, and reproducibility.
• Develop and maintain CI/CD/CT pipelines for ML and GenAI workloads.
• Automate model packaging, deployment, validation, and rollback processes.
• Enable scalable and secure model serving for batch and real-time use cases.
• Monitor model performance, data drift, and model drift in production environments.
• Collaborate with cross-functional teams including Data Engineering, Data Science, Platform Engineering, and Cyber/Compliance teams.

Senior AI MLOps Engineer

AI Engineer

• We are seeking a dynamic Senior consultant to join our AI & Data Consulting team, focused on driving data-driven transformations.
• You will work closely with C-suite leaders, operating partners, and portfolio company executives to help them leverage Agentic AI, analytics, and data-driven platforms to unlock value, accelerate digital transformation, and create competitive advantage.
• Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.
• Assess whether data is clean, secure, well‑structured, and ready for AI i.e.: AI-readiness evaluation (quality, lineage, security, architecture).

Senior Agentic AI Engineer

• We are seeking a dynamic Manager to join our AI & Data Tech Consulting team, focused on driving data-driven transformations.
• Partner with Operating Partners and leadership teams to define and execute Agentic AI, GenAI, and analytics-driven strategies.
• Develop and deploy AI implementation playbooks, frameworks, and accelerators that drive tangible value creation.
• Assess technology cost optimization, data monetization, and digital transformation opportunities across portfolio companies.
• Manage and mentor cross-functional teams across consulting, product development, and data engineering.
• Foster collaboration between AI product teams, analytics experts, and sector specialists to deliver integrated solutions.

AIA Agentic AI Engineer – Manager

Security Operations

• Operational support using SIEM solutions (Sentinel), EDR ( Defender)
• Specialized in second level incident validation and more detailed investigation
• Performs incident coordination and communication with client to ensure effective containment, eradication, and recovery
• SIEM support activities which includes adhoc reporting and basic troubleshooting
• Advise customers on best practices and use cases on how to use this solution to achieve customer end state requirements.
• Provide near real-time analysis, investigating, reporting, remediation, coordinating and tracking of security-related activities for customer

Senior SecOps – Sentinel

Artificial Intelligence

• Design and implement AI/Gen AI applications, systems, and infrastructure across major clouds (Azure, AWS and GCP)
• Collaborate with data engineers & build AI/ML models.
• Collaborate with clients & stakeholders to translate business and functional requirements into robust, scalable, operable solutions.
• Participate in architectural decisions, contribute to the development of architectures for industry-wide use cases, and design architectures for AI/ML and Generative AI
• Set the standards for engineering best practices.
• Identify opportunities where generative AI can provide value and solve business problems.
• Responsible for creating POCs and POVs across horizontals and industry use cases.
• Write high-quality, efficient, testable code in Python and other languages.
• Stay up to date with the latest AI trends and evaluate state-of-the-art AI technologies/framework to drive innovation.
• Facilitate design and architecture workshops and mentor AI engineers in coding best practices and problem-solving.

Senior Consultant – Gen AI

• Demonstrated proficiency in managing income-tax compliance and reporting processes.
• Strong understanding of income tax regulations and frameworks, facilitating compliance and tax strategy.
• Experience in data analysis and interpretation, leveraging insights to enhance income-tax strategies and informed decision-making.
• Proven ability to deliver high-quality consulting services while effectively managing time and meeting tight deadlines.

Senior Consultant – Global Compliance & Reporting

• Managing income-tax compliance and reporting processes
• Delivering high-quality consulting services
• Leveraging insights to enhance income-tax strategies
• Collaborating with multiple client departments

Senior Consultant – Tax, Global Compliance & Reporting

• Proficient in conducting thorough income-tax compliance analysis to ensure adherence to local and international regulations
• Experienced in preparing and reviewing various tax returns and reports to maintain accuracy and compliance
• Knowledgeable in utilizing income-tax software and tools to streamline reporting processes and enhance efficiency
• Ability to interpret tax legislation and provide insights on the implications for clients' tax positions
• Demonstrated expertise in delivering high-quality consulting services in a fast-paced environment to meet client needs

Consultant, Tax, Global Compliance & Reporting

Operations

• Oversee the delivery of services to clients, ensuring that they meet quality standards and are delivered on time and within budget.
• Build and maintain strong relationships with clients, understanding their needs and ensuring satisfaction with services provided.
• Lead and manage a team of service delivery professionals, providing guidance, support, and performance management.
• Identify opportunities for process improvements and implement best practices to enhance service delivery efficiency and effectiveness.
• Monitor service delivery metrics and prepare reports for senior management, highlighting performance against KPIs and areas for improvement.
• Identify potential risks in service delivery and develop mitigation strategies to minimize impact on clients and the organization.
• Work closely with other departments, such as sales, operations, and IT, to ensure seamless service delivery and client satisfaction.
• Reviews SOW and suggests changes to the engagement manager
• Manage incoming tickets triage & SLAs
• Accountable for adherence to Infosec requirements
• Accountable for DR/BCP Readiness
• Ownership of adherence – in line with agreed SOW, in line with security policies, cost & schedule
• Plans for training of staff on new technologies & new staff members
• Ensure that scope and business needs of project meet the budget
• Monitor customer satisfaction metrics on a regular basis, ensuring that client expectations are met
• Analyse trends, Facilitate and work with the project team on creating solutions to improve customer satisfaction
• Respond to out of hours support – planned & adhoc
• Responsible for decision-making, optimizing processes, resource management, and overseeing team management as needed for task execution.
• Accountable for allocating personnel, supervising team members, assigning tasks, ensuring that the team has the necessary tools and support to succeed in their roles and optimizing and evaluating their performance to meet organizational goals.

Senior TechOps SDM

• Build and design architecture for Syniti SAP Advanced Data Migration and Management
• Prepare Technical Specification documents
• Analyze ETL issues and provide solutions
• Collaborate with clients to gather requirements
• Lead data migration team
• Ensure end-to-end implementation in SAP environments

Senior SAP Syniti ADMM

Backend Engineer

• Design and implement scalable AI and cloud-based solutions using Python, AWS services, and PostgreSQL.
• Engage with product owners, business analysts, and global stakeholders to translate requirements into technical solutions.
• Communicate complex technical concepts clearly to non-technical stakeholders.
• Lead code reviews, testing strategies, and deployment activities ensuring high-quality delivery.
• Develop and maintain pharmaceutical forecasting models leveraging analytics, historical data, and cross-functional inputs.
• Collaborate with global teams to deliver insights, analytical presentations, and decision-support materials.
• Perform business analysis, modeling, and automation using SQL, and Python.
• Provide strategic guidance on assumptions, risks, and optimization opportunities in forecasting and AI workflows.

DE, Python, AI, GDS

• Lead and manage the Test Automation team, providing guidance and mentorship to ensure high-quality deliverables.
• Develop and implement a comprehensive test automation strategy aligned with the company’s goals and objectives.
• Cultivate and develop client relationships to enhance engagement and foster long-term partnerships.
• Identify opportunities for business growth by providing innovative solutions
• Collaborate with cross-functional teams, including development, product management, and operations, to integrate automated testing into the software development lifecycle.
• Oversee the design, development, and maintenance of automated test scripts and frameworks.
• Evaluate and select appropriate testing tools and technologies to enhance automation capabilities.
• Monitor and report on testing progress, results, and quality metrics to stakeholders.
• Drive continuous improvement initiatives to enhance testing processes and methodologies.
• Play an architect role in designing scalable and efficient automation frameworks.

Automation Testing Manager

Financial Planning and Analysis

• Partner with Global Service Lines, Clients and Industries, Growth and Innovation, and Investments Finance leaders to drive a cohesive and efficient approach to strategic analytics, insights and executive presentations related to business performance, integrated planning and forecasting
• Model projections and analyze monthly performance, forward-looking indicators, offering recommendations for business actions, delivering insights that drive decision-making, and presenting key findings to the Finance leadership teams
• Proactively identify analyses to enhance performance insights (e.g., pipeline coverage, profitability, staffing levels, investments, expense controls, and cash collections) and suggest course correcting actions.
• Analyze and present complex financial data in clear and engaging format.
• Develop impactful presentations and communications for executive audiences
• Champion the adoption of automation, AI, and advanced analytics to drive innovation in financial reporting and insights.