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LLM Engineer – Senior Associate

PwC Acceleration Center India
Pune, IND
Full-time
Mid-Senior
Onsite
Discovered 4 days ago
Large language modelsData engineeringAdvanced analyticsStatistical modelingExploratory data analysisData visualization
Free

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Large language modelsData engineeringAdvanced analytics
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The Opportunity

Join PwC Acceleration Center India and work with global teams across Advisory, Assurance, Tax, and Business Services.

The LLM Engineer – Senior Associate role sits within the Data and Analytics Engineering practice and supports complex client work.

Role Responsibilities

  • Design and develop robust data solutions that transform raw data into actionable insights.
  • Apply advanced analytics and statistical techniques to large datasets.
  • Conduct exploratory and descriptive analysis for complex business problems.
  • Create data visualizations that inform strategic decisions and business growth.
  • Use machine learning and artificial intelligence to support data-driven decision-making.
  • Build and maintain data pipelines and data lakes for efficient data processing.
  • Apply data science algorithms and predictive modeling to anticipate client needs.
  • Collaborate with teams to manage and inspire others through complex situations.
  • Interpret data to develop insights and recommendations while upholding professional and technical standards.
  • Pursue continuous learning and deepen technical skills.

Required Qualifications

  • Bachelor’s degree or higher.
  • At least 4 years of professional experience.
  • Oral and written proficiency in English.

Preferred Qualifications

  • Preferred fields include artificial intelligence, robotics, business analytics, computer science, engineering, information technology, machine learning, mathematics, statistics, and related disciplines.
  • Relevant certifications in data science or generative AI technologies are advantageous.
  • Experience with advanced data science algorithms, predictive modeling, data quality, and machine learning solutions is preferred.
  • Programming experience with Python, R, or Scala is preferred.
  • Experience with TensorFlow and PyTorch is preferred.

Technical Focus

  • Work includes exploratory and descriptive analysis, statistical modeling, data visualization, machine learning, and predictive modeling.
  • The role involves building data pipelines and data lakes and interpreting data for insights and recommendations.

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