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Full time 🤖 AI / ML

DevOps/LLMOps Engineer - Senior Associate at PwC Acceleration Center India

Listed by DevShelfHub

India
Hybrid
Mid-level · 4–8 yrs

About the Role

PwC Acceleration Center India is hiring a DevOps/LLMOps Engineer - Senior Associate to advance AI-Driven Automation & Cognitive Solutions within the Data and Analytics Engineering group. PwC serves diverse client portfolios across geographies through Advisory, Assurance, Tax, and Business Services.

This role requires at least 4 years of experience with a Bachelor's degree and English proficiency.

What you'll do

  • You will integrate cutting-edge technologies to optimize data science processes and enhance client support.
  • Develop and implement data science workflows and algorithms for AI-driven automation
  • Utilize machine learning and deep learning for data analysis and predictive modeling
  • Build and maintain data pipelines and data lakes for complex analysis and decision-making
  • Collaborate with cross-functional teams to integrate AI and data engineering solutions
  • Apply programming languages such as C++, R, and MATLAB for scalable data science applications
  • Leverage TensorFlow and Scikit-Learn to improve model performance and accuracy
  • Conduct statistical analysis and data mining to extract actionable insights
  • Confirm data quality and integrity throughout the data science lifecycle
  • Engage in continuous learning and embrace emerging data science trends

What we're looking for

  • At least a Bachelor's degree
  • At least 4 years of experience
  • Oral and written proficiency in English
  • Experience operationalizing ML or LLM systems in production

Skills & Technologies

Required

At least a Bachelor's degree At least 4 years of experience Oral and written proficiency in English Experience operationalizing ML or LLM systems in production Proficiency in Python and/or Bash programming Building and managing CI/CD pipelines using GitHub Actions Experience with Azure OpenAI and model deployment endpoints Proficiency in data science algorithms and workflows

Benefits & Perks

  • Health Insurance
  • Flexible Leave Policy
  • Learning Budget
  • EPF / NPS

Why This Role is Good for Experienced Professionals

  • This role offers LLMOps and data science engineering at the intersection of cloud, analytics, and AI automation.
  • Develop and implement data science workflows and AI-driven automation solutions
  • Operationalize ML or LLM systems in production
  • Build and maintain data pipelines and data lakes for complex analysis
  • Build and manage CI/CD pipelines using GitHub Actions
  • Work with Azure OpenAI and model deployment endpoints
  • Apply machine learning and deep learning for predictive modeling
  • Leverage TensorFlow and Scikit-Learn for model performance improvement
  • Conduct statistical analysis and data mining for actionable insights
  • Mentor junior team members and maintain professional standards
  • Contribute to Data, Analytics & AI competency network

About PwC Acceleration Center India

Join PwC Acceleration Center India to shape the future of business through connected collaboration across global teams. You'll work with cutting-edge tools in an inclusive culture focused on AI-driven automation and cognitive solutions.
Industry
Technology
Company Size
500+
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Job Details

Type
Full time
Level
Mid-level
Experience
4–8 years
Location
India
Work Mode
Hybrid
Category
AI / ML

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