GenAI Specialist

Dun & Bradstreet; Hyderabad, Chennai District; Híbrido; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

Dun & Bradstreet Technology and Corporate Services India LLP in Hyderabad seeks a Senior Analyst to support the Data Science team and collaborate with analytics leaders globally on timely deliverables.

Responsibilities include extracting and validating large datasets with Python, PySpark, SQL, and Hadoop; building automation and AI-driven tools; and contributing to MLOps/LLMOps governance with strong documentation practices.

Formación

• 3 to 6 years of experience in Data Analytics / Data Science.
• Strong programming in Python, PySpark, and SQL.
• Knowledge of GenAI concepts and modern AI techniques.
• Understanding of statistical and Machine Learning methods.
• Familiarity with AI/ML model monitoring and observability.
• Ability to translate data into actionable business insights.

Responsabilidades

• Work across analytical solutions including implementation, testing, validation, documentation, monitoring, investigations and reporting.
• Extract, analyze and validate large datasets with Python, PySpark, SQL and Hadoop.
• Develop automation and AI-driven tools to improve operational efficiency.
• Use frameworks and platforms for analytics implementations, validations, monitoring and delivery.
• Support MLOps/LLMOps processes for deployment, monitoring and governance.
• Create and maintain technical documentation and knowledge repositories.

Conocimientos

Python

PySpark

SQL

GenAI concepts

ML techniques

MLOps

Data interpretation

Communication

Herramientas

Hadoop

GenAI tools

Descripción del empleo

Dun & Bradstreet Technology and Corporate Services India LLP is looking for candidates for the role of Senior Analyst to support the Data Science team. The candidate needs to work closely with the team based in India and across a range of Analytics leaders who are located globally to fulfill the deliverables on a timely basis.

Role & responsibilities:

• Work across a range of analytical solutions involving implementation, testing, validation, documentation, monitoring, investigations, and reporting.
• Extract, analyze, and validate large datasets from various data sources using tools such as Python, PySpark, SQL, and Hadoop to support analytics implementations and operational activities. Perform model scoring, result validation, impact analysis, score investigations, and periodic model monitoring to ensure accuracy and operational stability.
• Develop and support automation solutions, AI-driven tools, and operational efficiency initiatives to streamline analytical processes and reduce manual effort.
• Utilize custom-built frameworks and platforms for analytics implementations, validations, monitoring, reporting, and delivery activities.
• Support MLOps/LLMOps processes for deployment, monitoring, observability, validation, and governance of AI/ML solutions.
• Create and maintain technical documentation, implementation artifacts, operational procedures, and knowledge repositories.

Key Skills:

• 3 to 6 years of relevant experience in Data Analytics / Data Science roles.
• Strong programming skills in Python, PySpark, and SQL to manipulate data and develop production-ready solutions.
• Knowledge of LLM tools, GenAI concepts, and modern AI techniques.
• Sound knowledge and exposure to the application of Statistical and Machine Learning techniques.
• Familiarity with AI/ML model monitoring, observability, automation frameworks, and GenAI applications.
• Exposure to workflow orchestration, process automation, or AI-driven operational efficiency solutions will be an added advantage.
• Exposure to LLM agents/tools and certifications in GenAI will be an added advantage.
• Ability to interpret and translate data into meaningful business insights.
• Excellent verbal, written, communication, and presentation skills.