DevOps/LLMOps Engineer - Senior Associate at PwC Acceleration Center India
Listed by DevShelfHub
About the Role
PwC Acceleration Center India is hiring a DevOps/LLMOps Engineer - Senior Associate to drive integration of data science and engineering 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 develop and implement AI-driven automation and cognitive solutions for client projects.
- Develop and implement data-driven solutions using advanced ML and AI techniques
- Collaborate with cross-functional teams to design and optimize data pipelines and workflows
- Utilize programming languages such as C++, R, and MATLAB for data modeling and predictive analytics
- Conduct complex data analysis to extract actionable insights for strategic decision-making
- Build and maintain scalable data lakes and data mining systems for big data initiatives
- Apply deep learning and neural network methodologies to improve workflow efficiency
- Leverage TensorFlow and Scikit-Learn for NLP and predictive modeling projects
- Validate data quality and integrity within analytics frameworks
- Guide junior team members in data engineering practices and foster learning agility
What we're looking for
- At least a Bachelor's degree
- At least 4 years of experience
- Oral and written proficiency in English
- Familiarity with vector databases and LLM deployment patterns
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- This role offers LLMOps engineering with vector databases and healthcare domain exposure at global consulting scale.
- Develop data-driven solutions using advanced machine learning and AI techniques
- Design and optimize data pipelines and workflows for efficient data processing
- Build and maintain scalable data lakes and data mining systems
- Apply deep learning and neural network methodologies for workflow efficiency
- Leverage TensorFlow and Scikit-Learn for NLP and predictive modeling
- Build and manage CI/CD pipelines using GitHub Actions
- Work with Azure OpenAI and model deployment endpoints
- Familiarity with vector databases and LLM deployment patterns
- Guide junior team members in data engineering practices
- Healthcare domain understanding is an added advantage
About PwC Acceleration Center India
- Industry
- Technology
- Company Size
- 500+
- Website
- pwcaccelerationcenterindia.com
Skip the queue
Contact the recruiter directly at PwC Acceleration Center India and follow up personally — most applicants never do.
Browse Recruiter DatabaseFree trial · 40 contacts · ₹0
Job Details
- Type
- Full time
- Level
- Mid-level
- Experience
- 4–8 years
- Location
- India
- Work Mode
- Hybrid
- Category
- AI / ML
Share this Job
Recruiter Database
Want to stand out? Talk to the recruiter directly.
Most applicants never hear back. Our Recruiter Database gives you direct email access to the people making hiring decisions — so you can follow up personally and actually get noticed.
- Recruiter name, company & direct email address
- Sourced from active job postings across top companies
- Free trial — 40 contacts, no credit card needed