AI Specialist - Client Technology NITRO
Hyderabad, TG, IN, 500081
EY
Mit unseren vier integrierten Geschäftsbereichen — Wirtschaftsprüfung und prüfungsnahe Dienstleistungen, Steuerberatung, Unternehmensberatung und Strategy and Transactions — sowie unserem Branchenwissen unterstützen wir unsere Mandanten dabei,...At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
AI Engineer
The selected candidate
- Leads the design, development, and deployment of advanced generative AI models, including large language models (LLMs), driving innovation and solving complex business challenges
- Oversees the end-to-end data science lifecycle, from data acquisition and preprocessing to model validation and optimization, ensuring best practices and high-quality outcomes
- Works on developing and deploying machine learning algorithms, ensuring models are optimized for performance and scalability
- Mentors and guides junior data scientists, fostering a collaborative environment and promoting knowledge sharing of cutting-edge techniques and tools
- Partners with cross-functional teams to integrate AI-driven insights into products and services, translating sophisticated models into practical, scalable solutions that drive measurable impact
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
- 8+ 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.
- Proficiency with data wrangling, visualization, and modeling in Python
- Experience in ML/NLP algorithms, including supervised and unsupervised learning.
- Good knowledge with cloud ecosystems, Azure is preferred
- Experience in machine learning frameworks and tools (e.g., sci-kit-learn, Keras, TensorFlow, MXNet, PyTorch, MLlib)
- Strong programming skills in Python
- 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 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. Capability to engage and explain data creating a narrative around data visualization
- Knowledge of containerization platforms like Docker is a plus.
- Experience with Git and modern software development workflow.
Non-Technical Skills:
- Strong team and business communication skills – can walk through and approach with technical clients or explain tricky concepts to non-technical people
- Must thrive in a fast-paced environment and be able to work independently.
- Excellent in communication skills
Education
- Bachelor/Master/PG 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
What we look for
- Strong analytical skills and problem-solving ability
- A self-starter, independent-thinker, curious and creative person with ambition and passion
- Expert in Python programming with experience in developing and deploying web apps
- 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 | Building a better working world
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.
Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate.
Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Big Data Computer Science Consulting Databricks Data quality Data visualization Docker Engineering GCP Generative AI Git GPU Hadoop Keras LLMs Machine Learning MXNet NLP Prompt engineering Python PyTorch Spark SQL TensorFlow Unstructured data Unsupervised Learning
Perks/benefits: Career development
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