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Job Description
- Role Overview:
- Contribute to the design and implementation of state-of-the-art AI solutions.
- Assist in the development and implementation of AI models and systems, utilizing 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 like Azure Open AI GPT models and Hugging Face Transformers to 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 for efficient handling of large-scale generative AI datasets.
- Implement similarity search algorithms to enable efficient retrieval of information from generative AI outputs.
- Collaborate with domain experts, stakeholders, and clients to tailor generative AI solutions based on specific business requirements.
- Conduct research on advanced AI techniques to enhance performance and efficiency.
- Establish evaluation metrics to assess the quality and relevance of generative AI outputs.
- Ensure compliance with data privacy, security, and ethical considerations in AI applications.
- Utilize data engineering skills for data curation, cleaning, and preprocessing for generative AI applications.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Ph.D. is a plus.
- Minimum 3-7 years of experience in Data Science and Machine Learning.
- Proficiency in programming languages like Python, R, and frameworks such as TensorFlow or PyTorch.
- Strong understanding of NLP techniques and frameworks like BERT, GPT, or Transformer models.
- Familiarity with computer vision techniques.
- Experience with cloud platforms like Azure, AWS, or GCP for deploying AI solutions.
- Knowledge of trusted AI practices ensuring fairness, transparency, and accountability.
- Strong collaboration skills with software engineering and operations teams.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Understanding of data privacy, security, and ethical considerations.
You will be a part of the Data and Analytics (D&A) team at EY as a Senior Data Scientist. With a minimum of 3-7 years of experience in Data Science and Machine Learning, you will be involved in developing and implementing AI solutions, particularly focusing on NLP, Generative AI, LLMs, MLOps, Optimization techniques, and AI solution Architecture. Your role will be crucial in leveraging your technical expertise to contribute to cutting-edge AI models and systems.
Responsibilities:
Requirements:
- Track record of innovation and staying updated with AI research and advancements.,
Skills
PythonData PrivacyData ScienceData ProcessingImplementationMachine LearningData ScientistAnalyticsAiProblemsolvingTensorFlowDevOps PracticesData ScienceKubernetesLLMsAWSTrusted AI PracticesMIPData EngineeringNLPDockerGPTTransformer ModelsMLOpsCommunication SkillsMachine LearningGCPFairnessInterpersonal SkillsMixed Integer ProgrammingCloudFormationBERTAI Solution ArchitectureDevOpsAnalytical SkillsLogging ToolsPythonGenerative AIComputer Vision TechniquesPyTorchCloud PlatformsInfrastructure As CodeAI ResearchROptimization ToolsEthical ConsiderationsData PrivacyTransparencyInnovationSecurityTerraformMonitoringAzureOptimization TechniquesAccountabilityCICD PipelinesGitIf a job posting appears fraudulent, asks for payment, contains misleading information, or violates our guidelines, please report it immediately. Our team will review it promptly, Jobaaj does not charge any fee from the applicants.
About Company
EY India Careers 2025 – Overview
Ernst & Young Global Limited (EY) is one of the Big Four professional services organisations, headquartered in London, England, and operating in 150+ countries with a global workforce of ~400,000 professionals.
EY’s roots trace back to 1849 (Harding & Pullein) and 1903 (Ernst & Ernst), with the current global legal entity formed in 1989 through the merger of Ernst & Whinney and Arthur Young.
In India, EY employs ~50,000–55,000 people across offices in Gurugram, Mumbai, Bengaluru, Hyderabad, Chennai, Kolkata, and Pune. The firm operates through four integrated service lines — Assurance, Consulting, Strategy and Transactions, and Tax — helping clients capitalise on opportunities, manage risk, and deliver responsible growth.
EY’s purpose, Building a better working world, guides its work with businesses, governments, and non‑profits to solve complex challenges. The firm is recognised for its investments in AI (via the EY.ai platform), digital transformation, sustainability, and inclusive growth.
Business Model
EY operates as a service‑based B2B professional services firm, generating revenue through assurance, consulting, strategy & transactions, and tax services.
Its model blends:
- Deep sector expertise with technology‑driven solutions
- Global delivery capabilities with India as a strategic hub
- Long‑term client relationships built on trust and recurring engagements
Strategic priorities for EY India include:
- Scaling EY.ai and AI‑enabled services
- Expanding ESG and sustainability consulting
- Strengthening cybersecurity and digital transformation offerings
- Growing Strategy and Transactions advisory in high‑growth sectors
Recent Wins & Recognition
- Launched the EY.ai platform to integrate AI into all service lines globally and in India (https://www.ey.com/en_in/news/2023/ey-launches-ey-ai-platform).
- Advised on a $1.1 billion renewable energy acquisition in India (https://economictimes.indiatimes.com/industry/energy/power/ey-advises-on-renewable-energy-acquisition/articleshow/).
- Recognised as a Leader in Digital Strategy Consulting in the 2025 IDC MarketScape report (https://www.ey.com/en_in/news/2025/ey-named-leader-in-digital-strategy-consulting).
- Partnered with the Government of India on Gati Shakti infrastructure planning (https://www.ey.com/en_in/news/2024/ey-supports-gati-shakti-infrastructure-planning).
- Awarded Best Employer for Women 2025 by Working Mother & Avtar (https://www.ey.com/en_in/news/2025/ey-best-employer-for-women).
Culture & Values
EY’s culture is anchored in its EY Values:
- People who demonstrate integrity, respect, and teaming
- People with energy, enthusiasm, and the courage to lead
- People who build relationships based on doing the right thing
The firm promotes diversity, equity, and inclusion, offers global mobility opportunities, and invests heavily in continuous learning through EY Badges, EY Tech MBA, and leadership programs.
Client‑Facing Businesses
Assurance
What it is – Independent audit and assurance services to enhance trust in financial reporting. Careers in India include:
- Statutory Audit – Auditing financial statements for listed and unlisted companies.
- Financial Accounting Advisory Services (FAAS) – IFRS/Ind AS advisory, reporting, and accounting change support.
- Forensic & Integrity Services – Fraud investigation, dispute resolution, and compliance reviews.
- Climate Change & Sustainability Services (CCaSS) – ESG reporting and assurance.
Consulting
What it is – Advises clients on business transformation, technology, and risk. In India, career opportunities span:
- Business Consulting – Strategy, operations, and supply chain transformation.
- Technology Consulting – ERP, cloud, data analytics, and cybersecurity.
- Risk Consulting – Enterprise risk, internal audit, and regulatory compliance.
- People Advisory Services – Workforce strategy, change management, and HR transformation.
Strategy and Transactions (SaT)
What it is – End‑to‑end deal advisory and capital strategy. India‑based roles cover:
- M&A Advisory – Buy‑side and sell‑side deal advisory.
- Transaction Diligence – Financial, tax, and operational due diligence.
- Valuation, Modelling & Economics – Business valuations and financial modelling.
- Restructuring – Turnaround and insolvency support.
Tax
What it is – Comprehensive tax and regulatory services. In India, career paths include:
- Direct Tax – Corporate and international tax compliance and planning.
- Indirect Tax – GST, customs, and trade advisory.
- Transfer Pricing – Planning, documentation, and dispute resolution.
- Tax Technology & Transformation – Automation and analytics for tax functions.
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