Senior Consultant - Tech Consulting - National - CNS - TC - AI AND DATA - Hyderabad

Requisition Id: 1694248

As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most passionate people in their field to help build a better working world. This starts with a culture that believes in giving you the training, opportunities and creative freedom. At EY, we don't just focus on who you are now, but who you can become. We believe that it’s your career and ‘It’s yours to build’ which means potential here is limitless and we'll provide you with motivating and fulfilling experiences throughout your career to help you on the path to becoming your best professional self.

The opportunity : Senior Consultant-National-Tech Consulting-CNS - TC - AI AND DATA - Hyderabad

National :

National comprises of sector agnostic teams working across industries for a well rounded experience.

CNS - TC - AI AND DATA :

EY Consulting is building a better working world by transforming businesses through the power of people, technology and innovation. Our client-centric approach focuses on driving long-term value for our clients by solving their most strategic problems. EY Consulting is made up of three sub-service lines: Business Consulting (including Performance Improvement and Risk Consulting), Technology Consulting and People Advisory Services. 

In Tech Consulting, we are transforming businesses through the power of people, technology and innovation. It places humans@center, leverages technology@speed and enables innovation@scale.

Your key responsibilities

Technical Excellence

• Job Title: Machine Learning Engineer Overview: We are seeking an experienced Machine Learning Engineer to join our AI/ML Engineering team. You will be responsible for developing and optimizing complex data pipelines, integrating model pipelines, and building scalable AI/ML solutions, including large language models (LLMs). The ideal candidate will possess a robust background in traditional machine learning, deep learning, and significant experience with large datasets and cloud-based AI services. Core Responsibilities:
• Develop and optimize complex data pipelines, applying machine learning engineering principles to enhance efficiency and scalability.
• Integrate and optimize data and model pipelines within production environments, diagnosing data inconsistencies and documenting assumptions.
• Employ experimental methodologies, statistics, and machine learning concepts to create self-running AI systems for predictive modeling.
• Collaborate with data science teams to review model-ready datasets and feature documentation, ensuring completeness and accuracy.
• Perform data discovery and analysis of raw data sources, applying business context to meet model development needs.
• Comfort with exploratory data exploration and tracking data lineage during inception or root cause analysis.
• Engage with internal stakeholders to understand business processes and translate requirements into analytical approaches.
• Write and maintain model monitoring scripts, diagnosing issues and coordinating resolutions based on alerts.
• Serve as a domain expert in machine learning engineering on cross-functional teams for significant initiatives.
• Stay updated with the latest advancements in AI/ML and apply them to real-world challenges.
• Participate in special projects and additional duties as assigned. Qualifications:
• Undergraduate degree or equivalent experience; a graduate degree is preferred.
• Minimum of 5 years of relevant work experience.
• Hands-on experience designing ETL pipelines using AWS services (e.g., Glue, SageMaker, Bedrock).
• Proficiency in programming languages, particularly Python (including PySpark, PySQL) and familiarity with machine learning libraries and frameworks.
• Strong understanding of cloud technologies, including AWS and Azure, and experience with NoSQL and vector databases.
• Familiarity with Feature Store usage, LLMs, GenAI, RAG, Prompt Engineering, and Model Evaluation.

Skills and attributes

To qualify for the role you must have
Qualification

• Bachelor of Technology in Computer Science
• Bachelor of Technology in Mechanical Engineering
• Bachelor of Engineering in Electrical
• Bachelor of Science in Physics
• Bachelor of Computer Applications
• Master of Technology in Civil Engineering
• Master of Engineering in Electronics
• Master of Science in Data Science
• PhD in Computer Science
• PhD in Mechanical Engineering
• PhD in Physics
• PhD in Economics

Experience

• DevOps Engineering (3+ years)
• Data Engineering (4+ years)
• Machine Learning (3+ years)
• Deep Learning (2+ years)
• Cloud Architecture (5+ years)
• Artificial Intelligence (3+ years)
• Natural Language Processing (2+ years)
• Computer Vision (2+ years)

What we look for

People with the ability to work in a collaborative manner to provide services across multiple client departments while following the commercial and legal requirements. You will need a practical approach to solving issues and complex problems with the ability to deliver insightful and practical solutions. We look for people who are agile, curious, mindful, and able to sustain positive energy, while being adaptable and creative in their approach.

What we offer

Fuelled by the brilliance of our people, EY has emerged as the strongest brand and the most attractive employer in our field, with market-leading growth over competitors. Our people work side-by-side with market-leading entrepreneurs, game-changers, disruptors, and visionaries. As an organization, we are investing more time, technology, and money than ever before in skills and learning for our people. At EY, you will have a personalized Career Journey and also the chance to tap into the resources of our career frameworks to better know about your roles, skills, and opportunities.

EY is equally committed to being an inclusive employer, and we strive to achieve the right balance for our people—enabling us to deliver excellent client service while allowing our people to build their careers as well as focus on their wellbeing.

If you can confidently demonstrate that you meet the criteria above, please contact us as soon as possible.

Join us in shaping the future with confidence. Apply Now