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EY Client Technology NITRO-AI Specialist 
India, Karnataka, Bengaluru 
957985703

22.09.2024

The selected candidate

  • Collaborates with senior data scientists to build, fine-tune, and evaluate generative AI models, including large language models (LLMs), for various applications.
  • Implements data pipelines and workflows to gather, clean, and prepare data from diverse sources for analysis and model training.
  • Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability
  • Assists in translating complex technical findings into actionable insights and recommendations for non-technical stakeholders, contributing to impactful business decisions


Your key responsibilities include

  • Implementing AI solutions that integrate seamlessly with existing business systems to enhance functionality and user interaction.
  • Reviewing complex data sets to establish data quality and highlighting where data cleansing is required to remediate the data
  • Designing and implementing data models to manage data within the organization,
  • Migrating data from one system to another using multiple sources, identifying and
  • implementing storage requirements
  • Analyzing the latest trends such as cloud computing and distributed processing, and their uses in business, building industry knowledge
  • Peer reviewing models and working with relevant business areas to seek their input and ensuring they are fit for the designed purpose
  • Automating important infrastructure for the data science team.
  • Staying current with AI trends and suggesting improvements to existing systems and workflows.


Skills and attributes for success

  • 5+ years’ experience in machine learning, large scale data acquisition, transformation, and cleaning, both structured and unstructured data
  • Experience with generative LLM fine-tuning and prompt engineering.
  • Good knowledge with cloud ecosystems, Azure is preferred
  • Strong programming skills in Python and developing APIs
  • Knowledge of containerization platforms like Docker is a must.
  • Experience with Git and modern software development workflow.
  • Experience with tools in the distributed computing, GPU, cloud platforms, and Big Data domains (e.g., GCP, AWS, MS Azure, Hadoop, Spark, Databricks) is a plus
  • Experience in ML/NLP algorithms, including supervised and unsupervised learning.
  • Experience with SQL, Document DBs and Vector DBs
  • Batch Processing - Capability to design an efficient way of processing high volumes of
  • data where a group of transactions is collected over a period Data
  • Visualization and storytelling - Capability to assimilate and present data, as well as more advanced visualization techniques.


Education

  • Bachelor in Artificial Intelligence, Analytics, Data Science, Computer Science, Engineering, Information Technology, Social Sciences or related fields preferred


What we look for

  • Strong analytical skills and problem-solving ability
  • A self-starter, independent-thinker, curious and creative person with ambition and passion
  • Excellent inter-personal, communication, collaboration, and presentation skills
  • Customer focused
  • Excellent time management skills
  • Positive and constructive minded
  • Takes responsibility for continuous self-learning
  • Takes the lead and makes decisions in critical times and tough circumstances
  • Attention to detail
  • High levels of integrity and honesty



EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.