EY - GDS Consulting - AIA - ML Ops - Senior

EY; Thiruvananthapuram; On-site; INR 15,00,000 - 20,00,000; Full time

Job summary

A leading global professional services firm seeks a Senior Data Scientist in Thiruvananthapuram, India. This role involves developing and implementing cutting-edge AI solutions, requiring a strong background in data science, machine learning, and MLOps. The ideal candidate will have 3 to 7 years of relevant experience, with proficiency in Python and AWS. This position offers an opportunity to significantly influence AI development in a diverse, globally connected environment.

Qualifications

• Minimum of 3 - 7 years of experience in Data Science and Machine Learning.
• Experience in NLP, Generative AI, LLMs, MLOps, and AI solution architecture.
• Expertise in data engineering, DevOps, and MLOps practices.

Responsibilities

• Develop and implement AI solutions leveraging technical expertise.
• Design and implement cutting-edge AI models and systems.

Skills

Programming Language: Python

MLOps Tools & Practices

Cloud Platform: AWS

Containerization & CI/CD: Docker, Kubernetes

API Integration Frameworks: FastAPI, Flask

Job description

Job Description

EY GDS – Data and Analytics (D&A) – Senior – MLOP's

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go.

Join EY and help to build a better working world.

Role Overview

We are seeking a highly skilled and experienced Senior Data Scientist with a minimum of 3 - 7 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.

MLOps –

Skill Combinations

Combination 1: Mandatory Skills: Programming Language: Python, Node.js, or DevOps. API Integration Frameworks: FastAPI, Flask, or Express. Containerization: Docker or other container technologies. Cloud Platform: AWS (must-have)

• Programming Language: Python
• MLOps Tools & Practices: MLOps, ML Pipelines, Model Deployment
• Cloud Platform: AWS
• Containerization & CI/CD: Docker, Kubernetes, or CI/CD tools (e.g., Jenkins, GitHub Actions)

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.