Live opening · Posted 6 hours ago

AI and Generative AI Senior Developer - Kerala

EY · Kochi, Kerala, India (Hybrid)
Linkedin Hybrid
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At a glance

The key details from the original listing.

Posted 6 hours ago
CompanyEY
LocationKochi, Kerala, India (Hybrid)
Work modeHybrid
SkillsPython, AWS, Azure
SourceLinkedin
ListedPosted 6 hours ago

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About the role

Description supplied by the original job listing.

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.
Job Description: Senior Data Scientist
Role Overview
We are seeking a highly skilled and experienced Senior Data Scientist with a strong background in Python programming, NLP, and AI/ML technologies, including advanced concepts and practical experience with FastAPI/Flask, Transformers, and Generative AI (GenAI). The ideal candidate should have a minimum of 5 years of experience in Data Science and Machine Learning, with a deep understanding of AI technologies and experience in designing and implementing cutting-edge AI models and systems. Additionally, expertise in cloud services such as AWS and Azure, as well as MLOps practices, will be critical in this role.
Responsibilities
Your technical responsibilities include but are not limited to:
Design and implement AI/ML solutions using NLP and Transformer models, and leverage GenAI capabilities to enhance application intelligence.
Manage AWS cloud infrastructure and services including S3, EC2, Lambda, RDS, Glue, Sagemaker, EMR, and Step Functions to build and deploy scalable machine learning models.
Utilize AWS Batch for efficient batch computing and maintain code repositories with GIT for version control and collaboration.
Apply MLOps and LLMOps methodologies to automate the machine learning lifecycle, ensuring models are scalable, maintainable, and reliable.
Develop and maintain APIs using FastAPI for seamless integration of AI/ML models into applications.
Work with Bedrock and EKS to orchestrate containerized applications, ensuring high availability and scalability of AI services.
Requirements
Proven track record with at least 5 years of experience in a technical role focused on AI/ML.
Expertise in AI/ML frameworks, NLP, and Transformer technologies.
Strong experience with AWS cloud services, particularly for data processing and machine learning.
Proficiency in MLOps practices and familiarity with LLMOps.
Experience with FastAPI or similar frameworks for API development.
Knowledge of container orchestration with AWS EKS and Bedrock.
Good To Have Skills
Team handling experience and architecture design experience.
Proficiency in creating and delivering Powerpoint presentations.
Knowledge of Responsible AI practices and Nvidia MLOps platform.
Experience with fine-tuning open-source AI/ML models.
Familiarity with DevOps practices, including continuous integration, deployment, and monitoring of AI models.
By joining our team, you will have the opportunity to work on innovative projects that leverage the latest AI/ML technologies and practices. You will be part of a dynamic team that values collaboration, continuous learning, and the delivery of high-quality AI solutions to meet the evolving needs of our clients. If you are passionate about AI and looking for a challenging role that offers growth and the chance to make a significant impact, we encourage you to apply.
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.

Work arrangement
Hybrid

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