Data Science Engineer

EY; Hyderabad, Bengaluru, Delhi; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

EY Hyderabad invites a senior ML/AI engineer to apply machine learning techniques delivering actionable insights. You will own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on both structured and unstructured data.

Collaborate with business users, mentor teammates, and design Generative AI-enabled solutions such as AI agents and APIs, integrating with Azure OpenAI platforms.

Qualifications

• 5+ years of overall experience in Machine Learning and AI
• 3+ years hands-on ML/AI experience
• Expert proficiency in Python and related data skills

Responsibilities

• Apply machine learning techniques to deliver actionable insights
• Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
• Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models
• Apply standard statistical methods, simulation models and statistical programming as needed
• Collaborate with business users and analysts to translate requirements into AI/ML solutions and present outcomes
• Manage stakeholders and mentor team members in ML/AI practices
• Design and implement Generative AI-enabled solutions such as AI agents, APIs, and intelligent interfaces, integrating with enterprise GenAI platforms (Azure OpenAI / Azure AI Foundry)
• Hands-on experience in LLM fine tuning and optimization, including parameter efficient tuning and evaluation of model quality, latency, and cost in production environments
• Strong expertise in production-grade prompt and GenAI system design, including prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns for scalable enterprise deployments

Skills

ML/AI techniques

Python

LLM technologies

Generative AI

Model deployment

NLP/NLG

Education

Master's in Statistics/Mathematics

Bachelors/Masters in Science/Engineering/MCA

Tools

Azure OpenAI

Job description

Your key responsibilities

• Apply machine learning techniques to deliver actionable insights
• Own end-to-end model development in Python, including data exploration, feature engineering, training, validation, and scoring on structured and unstructured data
• Design and build systems that mine massive datasets and structure/ engineer it to be usable for machine learning models and to apply AI/Machine Learning technology to solve real-world problems
• Apply standard statistical methods, simulation models and statistical programming as needed
• Collaborate closely with business users and analysts to translate requirements into AI/ML solutions and present outcomes clearly
• Manage stakeholders and mentor team members in Machine Learning, AI, and best practices
• Design and implement Generative AIenabled solutions such as AI agents, APIs, and intelligent interfaces, integrating with enterprise GenAI platforms (Azure OpenAI / Azure AI Foundry)
• Hands-on experience in LLM fine tuning and optimization, including parameter efficient tuning techniques and systematic evaluation of model quality, latency, and cost in production environments
• Strong expertise in production grade prompt and GenAI system design, including prompt templating, chaining, RAG pipelines, guardrails, and reliability patterns for scalable enterprise deployments

Skills and attributes for success

• An overall experience of 5 + years of which 3+ years of hands-on work experience in Machine Learning and Artificial Intelligence
• Strong hands-on experience with ML/AI techniques including regression, decision trees, random forests, classification, clustering, NLP/NLG, deep learning, neural networks, and ARIMA
• Proven experience delivering end-to-end ML projects from development to production
• Expert proficiency in Python, with strong programming, algorithmic, and database skills
• Strong understanding of Generative AI and LLM technologies, including prompt engineering and enterprise LLM integration

To qualify for the role, you must have

• Master’s degree in Statistics/Mathematics from a reputed college OR Bachelors / Master’s degree in Science/ Engineering / MCA.
• Hands-on involvement across the design, development, testing, and deployment of AI/ML solutions
• Tax application experience