דרושים Gds Ops Wes Leader ב-Ey ב-India, Bengaluru

The ideal candidate should have hands-on experience with, strong skills in, and a solid understanding ofYou’ll work on building scalableand, aligned with.

Key skills required for the role (Primary):

• Expertise in designing and implementing a fully operational solution on Snowflake Data Warehouse using DBT Core / DBT Cloud.
• Experience building Jinja macros, snapshots, and custom materializations.
• Strong understanding of data warehousing concepts, including SCD Type 1 and 2.
• Familiarity with Git for source control and branching strategies.
• Understanding of CI/CD pipelines for data workflows.
• Exposure to Data Mesh architecture and domain-based data ownership.
• Experience with DBT Explorer or similar visualization/documentation tools.
• Familiarity with orchestration tools like Airflow, Amazon MWAA.
• Knowledge of metadata and data governance platforms e.g., dbt Docs.
• experience implementing Data Mesh concepts
• Hands on exposure to ETL using Snowflake native services
• Hands on exposure to SQL & scripting
• Good understanding of Snowflake Internals and integration of Snowflake with other data processing and reporting technologies
• Good to have experience working with AWS services like –S3, MWAA, lambda etc.
• Work experience with banking clients is an added advantage

Your role:

• Design and implement Data Mesh-aligned Data Products using DBT.
• Develop and maintain DBT models: incremental, table, and view.
• Create and manage DBT snapshots for historical tracking.
• Build and manage Jinja macros to promote reusability and maintainability.
• Implement Slowly Changing Dimensions (SCD) Type 1 and Type 2 using DBT.
• Create and maintain custom materializations for advanced use cases.
• Write Python scripts to support data processing, testing, automation, and integration tasks.
• Work extensively with Snowflake for data transformation, optimization, and performance tuning.
• Manage database objects (schemas, tables, stages) and perform performance tuning within Snowflake.
• Use DBT Cloud for job orchestration, testing, and documentation.
• Use Git for version control and follow CI/CD practices for safe deployment.
• Interact and communicate with the onsite teams directly to understand the requirement and determine the optimum solutions
• Provide product and design level functional and technical expertise along with best practices
• Ability to think clearly, plan effectively, organize and develop action plans leading to resolving problems and achieving specific goals

Skills and attributes for success

• Strong communication, presentation and team building skills and experience in producing high quality deliverables.

What we look for

• A Team of people with technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals
• Opportunities to work with EY Advisory practices globally with leading businesses across a range of industries

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

About EY GDS Studio

• EY GDS Studio is an integrated creative and broadcast space designed to function like a corporate newsroom — agile, insight-led, and visually dynamic.
• Equipped for recording, streaming, and live broadcasting, the studio delivers leadership messages, brand storytelling, and thought leadership content to audiences across EY’s global network.
• This is where communication meets production — combining the polish of a newsroom with the creativity of an agency.

Creative & Visual Leadership

• Own the creative direction and art supervision across all studio outputs — recorded, live, and streamed content.
• Design the visual architecture of live broadcasts: on-screen graphics, lower-thirds, transitions, overlays, and branding elements.
• Develop storyboards, mood boards, and design templates that bring complex messages to life visually.
• Shape and maintain the studio’s creative identity to mirror a global newsroom — dynamic, precise, and brand-right.

Studio & Broadcast Design

• Collaborate with production and AV teams to design backdrops, lighting, and stage environments suitable for both live and recorded formats.
• Guide the visual setup for multi-camera shoots, LED wall compositions, and interactive screens.
• Define broadcast graphics standards — framing ratios, color grading, data display, and animation systems.

Live Streaming & Production Direction

• Partner with producers and technical directors during live broadcasts to ensure seamless creative execution.
• Supervise rehearsals, live transitions, and visual cues to maintain visual continuity and composure under time pressure.
• Create brand-consistent visual assets for webcasts, hybrid events, and live-streamed leadership communications.

Innovation & Continuous Evolution

• Introduce newsroom-style innovation: live graphics, data visualizations, and AI-driven video formats.
• Collaborate with tech and comms teams to explore new tools for virtual production, AR, and real-time graphics.
• Anticipate trends in digital broadcasting and corporate storytelling to keep the studio experience cutting-edge.

Team Collaboration & Mentorship

• Mentor designers, editors, and motion artists — fostering excellence in design and live production craft.
• Collaborate closely with communication leads, event producers, and brand teams to ensure unified storytelling.
• Champion high creative standards and message alignment across all studio formats.

Skills and Attributes for Success

• Proven expertise in art direction for live or studio production, preferably in a newsroom, broadcast, or hybrid corporate setup.
• Strong design sensibility with deep understanding of motion graphics, lighting, and set design for live environments.
• Advanced proficiency in Adobe Creative Suite, with familiarity in live graphics tools (e.g., vMix, OBS, Vizrt, Unreal Engine, or similar).
• Strong grasp of camera framing, transitions, and broadcast composition.
• Excellent collaboration and communication skills to bridge creative and technical teams.
• Calm under pressure — able to make real-time creative calls during live sessions.

Experience & Qualification

• 8–12 years of experience in art direction, broadcast design, or live production.
• Experience working with live-streaming and hybrid event setups.
• Bachelor’s degree in Visual Communication, Design, or related field.

What We Offer

At EY GDS, you’ll help pioneer a new era of corporate storytelling — where live conversations, leadership broadcasts, and creative design come together to inform, engage, and inspire.

You’ll work in a high-energy studio that mirrors the pace of a newsroom — where every project challenges you to blend design precision, storytelling power, and live agility.

Your key responsibilities

• Develop, review, and implement Solutions applying AI, Machine Learning, Deep Learning, and develop APIs using Python.
• Having relevant understanding of Big Data and Visualization would be one-upping.
• Lead the development and implementation of Generative AI applications using both open source (Llama, BERT, Dolly etc.) and closed source (Open AI GPT models, MS Azure Cognitive Services, Google’s Palm, Cohere etc.) Large Language Models (LLMS).
• Extensively work with advanced models such as GPT-3.5, GPT 4, Llama, BERT etc, for natural language processing and creative content generation using contextual information.
• Design and optimize solutions leveraging Vector databases for efficient storage and retrieval of contextual data for LLMs.
• Understand Business and Sectors, ability to identify the whitespaces and opportunities for analytics application.
• Work and manage large to mid-size projects, and ensure smooth service delivery on assigned products, engagements and/or geographies.
• Work with project managers to study resource needs and gaps and devise alternative ways forward.
• Provide expert reviews for all projects within the assigned subject.
• Ability to communicate with cross functional/competencies teams.
• Go to Market / Stakeholder Management.

Skills and attributes for success

• Able to work creatively and systematically in a time-limited, problem-solving environment
• Loyal and reliable with high ethical standards
• Flexible, curious and creative, open for new things and able to propose innovative ideas
• Good interpersonal skills
• Team player, open, pleasure to work with and positive in a group dynamic
• Intercultural intelligence and experience of working in more than one country and/or multi-cultural teams with distributed delivery experience
• Ability to manage multiple priorities simultaneously to meet tight deadlines and drive projects to completion with minimal supervision

To qualify for the role, you must have

• Experience of guiding teams on Projects focusing on AI/Data Science and Communicating results to clients
• Familiar in implementing solutions in Azure Cloud Framework
• Excellent Presentation Skills
• 9 - 14 years of relevant work experience in developing and implementing AI, Machine Learning Models- experience of deployment in Azure is preferred
• Experience in application of statistical techniques like Linear and Non-Linear Regression/classification/optimization, Forecasting and Text analytics.
• Familiarity with deep learning and machine learning algorithms and the use of popular AI/ML frameworks
• Minimum 4 years of experience in working with NLG, LLM, DL Techniques
• Relevant understanding of Deep Learning and neural network techniques
• Expertise in implementing applications using open source and proprietary LLM models
• Proficient in using Langchain-type orchestrators or similar Generative AI workflow management tools
• Minimum of 5-8 years of programming in Python
• Experience with the software development life cycle (SDLC) and principles of product development
• Willingness to mentor team members
• Solid thoughtfulness, technical and problem-solving skills
• Excellent written and verbal communication skills

Ideally, you’ll also have

• Ability to think strategically/end-to-end with result-oriented mindset
• Ability to build rapport within the firm and win the trust of clients
• Willingness to travel extensively and to work on client sites / practice office locations

What we look for

• A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment
• An opportunity to be a part of market-prominent, multi-disciplinary team of 3000 + professionals, in the only integrated global transaction business worldwide.
• Opportunities to work with EY SaT practices globally with prominent businesses across a range of industries

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.

Your key responsibilities

• Collect and analyze data related to employee learning and development programs.
• Identify trends, patterns, and insights from the data to inform decision-making.
• Develop and maintain dashboards and reports to visualize learning trends.
• Provide actionable recommendations to improve learning programs and initiatives.
• Collaborate with cross-functional teams to understand learning needs and objectives.
• Present findings and recommendations to stakeholders in a clear and concise manner.
• Ability to work in teams
• Program Management and Project management skills

Skills and attributes for success

• Effective communication skills:
  • Confidently work with stakeholders as a Learning and Development data insights provider
• Agile and Resilient:
  • Ability to work in an agile environment and embrace change with a curious mindset
• Teaming Skills:
  • Effectively work with diverse global teams to identify learning trends and share within the TD team
• Strong Program and Project Management Skills:
  • Ability to manage data analysis and insights related projects end to end

To qualify for the role, you must have

• Bachelor's degree (Preferably in Data Science, Statistics, Business Analytics, or a related field)
• Proven experience as a Data Analyst, preferably in the field of learning and development.
• Strong analytical skills and proficiency in data analysis tools and software.
• Excellent communication skills, both written and verbal.
• Ability to work independently and as part of a team.
• Attention to detail and a passion for continuous improvement.

Preferred skills:

• Experience with data visualization tools such as Tableau or Power BI.
• Knowledge of statistical analysis and predictive modeling.
• Familiarity with learning management systems and e-learning platforms.

Ideally, you’ll also have

• Constant and curious learner
• Collaborative and trusted partner, performing with integrity in all deliverables
• Personal resilience to manage competing priorities
• Responsive and flexibility to changing external and internal environments and business needs

What we look for

• You will get an opportunity to collaborate with diverse stakeholders across the Talent development team.
• We are looking for professionals who demonstrate passion and enthusiasm to learn, listen and collaborate in a fast-changing learning environment.
• You will work as a trusted data advisor and collaborate with Talent development team members to deliver value.

What we offer

EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across multiple locations – Argentina, India, the Philippines, Hungary, Spain, Poland, Mexico 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.

• 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.

Job Description: Senior Data Scientist

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 12 - 14 years of experience in Data Science and Machine Learning, preferably with experience in NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. In this role, you will play a key role in the development and implementation of AI solutions, leveraging your technical expertise. The ideal candidate should have a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in data engineering, DevOps, and MLOps practices will be valuable in this role.

Your technical responsibilities:

• Contribute to the design and implementation of state-of-the-art AI solutions.
• Assist in the development and implementation of AI models and systems, leveraging techniques such as Language Models (LLMs) and generative AI.
• Collaborate with stakeholders to identify business opportunities and define AI project goals.
• Stay updated with the latest advancements in generative AI techniques, such as LLMs, and evaluate their potential applications in solving enterprise challenges.
• Utilize generative AI techniques, such as LLMs, to develop innovative solutions for enterprise industry use cases.
• Integrate with relevant APIs and libraries, such as Azure Open AI GPT models and Hugging Face Transformers, to leverage pre-trained models and enhance generative AI capabilities.
• Implement and optimize end-to-end pipelines for generative AI projects, ensuring seamless data processing and model deployment.
• Utilize vector databases, such as Redis, and NoSQL databases to efficiently handle large-scale generative AI datasets and outputs.
• Implement similarity search algorithms and techniques to enable efficient and accurate retrieval of relevant information from generative AI outputs.
• Collaborate with domain experts, stakeholders, and clients to understand specific business requirements and tailor generative AI solutions accordingly.
• Conduct research and evaluation of advanced AI techniques, including transfer learning, domain adaptation, and model compression, to enhance performance and efficiency.
• Establish evaluation metrics and methodologies to assess the quality, coherence, and relevance of generative AI outputs for enterprise industry use cases.
• Ensure compliance with data privacy, security, and ethical considerations in AI applications.
• Leverage data engineering skills to curate, clean, and preprocess large-scale datasets for generative AI applications.

Requirements:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field. A Ph.D. is a plus.
• Minimum 12-14 years of experience in Data Science and Machine Learning.
• In-depth knowledge of machine learning, deep learning, and generative AI techniques.
• Proficiency in programming languages such as Python, R, and frameworks like TensorFlow or PyTorch.
• Strong understanding of NLP techniques and frameworks such as BERT, GPT, or Transformer models.
• Familiarity with computer vision techniques for image recognition, object detection, or image generation.
• Experience with cloud platforms such as Azure, AWS, or GCP and deploying AI solutions in a cloud environment.
• Expertise in data engineering, including data curation, cleaning, and preprocessing.
• Knowledge of trusted AI practices, ensuring fairness, transparency, and accountability in AI models and systems.
• Strong collaboration with software engineering and operations teams to ensure seamless integration and deployment of AI models.
• Excellent problem-solving and analytical skills, with the ability to translate business requirements into technical solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at various levels.
• Understanding of data privacy, security, and ethical considerations in AI applications.
• Track record of driving innovation and staying updated with the latest AI research and advancements.

Good to Have Skills:

• Apply trusted AI practices to ensure fairness, transparency, and accountability in AI models and systems.
• Utilize optimization tools and techniques, including MIP (Mixed Integer Programming).
• Drive DevOps and MLOps practices, covering continuous integration, deployment, and monitoring of AI models.
• Implement CI/CD pipelines for streamlined model deployment and scaling processes.
• Utilize tools such as Docker, Kubernetes, and Git to build and manage AI pipelines.
• Apply infrastructure as code (IaC) principles, employing tools like Terraform or CloudFormation.
• Implement monitoring and logging tools to ensure AI model performance and reliability.
• Collaborate seamlessly with software engineering and operations teams for efficient AI model integration and deployment.
• Familiarity with DevOps and MLOps practices, including continuous integration, deployment, and monitoring of AI models.

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.

Job Title: Senior Learning Specialist

Department: Talent Development (TD)– Learning Centre of excellence

Key Responsibilities:

• Lead the deployment of learning programs, ensuring they are executed efficiently and in accordance with strategic objectives.
• Facilitate engaging learning sessions, demonstrating a passion for education and the ability to inspire participants.
• Streamline learning processes to improve efficiency and effectiveness, while also managing learner inquiries to optimize their experience.
• Collaborate with Talent Development, business teams, and branding to effectively promote learning programs and highlight success stories.
• Maintain accurate and current program trackers, analyse program effectiveness, and provide detailed reports and insights to leadership.
• Ensure the integrity of learning credentials by collaborating with global teams, staying updated on program changes, and managing related communications.
• Organize and conduct regular meetings with stakeholders to ensure program alignment, share updates, and gather feedback.
• You will be supporting the program leads and overall GDS central TD Learning initiatives with monthly reports and metrics.

Qualifications:

• A minimum of 3-5 years of experience in a senior role with a proven passion for managing learner experiences and facilitating programs.
• Comprehensive knowledge of EY learning platforms, including the Badges and Degrees portals, and the ability to address related concerns effectively.
• Experience in conducting awareness sessions and managing learning programs within your function.
• A creative problem-solver who advocates for learning ethics and possesses strong project management and executes programs
• Excellent interpersonal and communication abilities, capable of working collaboratively with GDS and global stakeholders.
• Resilient and adaptable, with the capacity to manage competing priorities in a dynamic work environment.

Preferred Qualifications:

• Prior experience in Learning and Development, with a track record of successful program management.
• Recognized as a collaborative, trusted partner who performs with integrity and confidence.
• Proactive in task forecasting and execution, with personal resilience in managing competing priorities.

Your key responsibilities

• Data Pipeline Development: Design, develop, and optimize data pipelines for large-scale structured and unstructured datasets.
• Data Handling: Work with SQL for data extraction, transformation, and analysis.
• ETL Workflows: Develop and maintain ETL workflows using PySpark or equivalent technologies.
• Platform Implementation: Implement scalable solutions on Databricks or Snowflake environments.
• Collaboration: Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality data products.
• Data Quality and Compliance: Ensure data quality, reliability, and compliance with regulatory standards.
• Domain-Specific Solutions: Contribute to domain-specific solutions for AML, fraud detection, and risk analytics.

Required Skills:

• SQL and ETL Expertise: Strong hands-on experience in SQL, data handling, and ETL pipelines.
• PySpark Proficiency: Proficiency in PySpark for data processing.
• Modern Data Platforms: Experience with Databricks or Snowflake development.
• Data Warehousing: Solid understanding of data warehousing concepts and data modeling.
• Domain Knowledge: Knowledge of FinCrime, AML / Fraud detection use cases, rules, and data requirements.
• Performance Optimization : Experience with performance optimization and handling large-scale datasets.
• Collaboration : Strong teamwork and communication skills with the ability to work effectively with cross-functional teams.

Preferred Qualifications:

• Cloud Platforms : Familiarity with cloud data platforms (AWS, Azure, GCP).
• CI/CD Practices: Experience with CI/CD practices for data engineering.
• Agile Methodologies : Familiarity with Agile development practices and methodologies.
• Problem-Solving : Strong analytical skills with the ability to troubleshoot and resolve complex issues.

Bachelor’s degree in Computer Science, Information Technology, 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.