IN_Senior Associate_AWS Devops_Data & Analytics_Advisory_Kolkata

Description

& SummaryAt PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.

*Why PWC

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more .

At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "

Responsibilities:

Pipeline Automation: Build andmaintainCI/CD pipelines for machine learning workflows to enable rapid, automated deployment.

Production Deployment: Operationalize ML models developed by scientists, moving them from prototypes to scalable, real-time production APIs (using Amazon SageMaker, EKS, Lambda).

Monitoring & Governance: Implement monitoring systems to track model performance, data drift, and latency.

Infrastructure Management: Provision and manage AWS infrastructure (S3, EC2, CloudFormation) tailored for ML training and inference.

Collaboration: Work with data scientists tooptimizemodels for production and with DevOps for infrastructure.GenAI/LLM Focus: Incutting-edgeroles,establishrobust pipelines for LLM fine-tuning and deployment (using tools likeLangChainor Amazon Bedrock)

Mandatory skill sets:

AWSDevops/Sagemaker/Lambda

Preferred skill sets:

AWSDevops/Sagemaker/Lambda

Years of experiencerequired:

4—8Years 

Education qualification:

B.E.(B.Tech)/M.E/M.Tech

Education

Degrees/Field of Study required: Master of Business Administration, Bachelor of Technology, Bachelor of EngineeringDegrees/Field of Study preferred:

Certifications

Required Skills

Data Engineering, Microsoft Azure

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 more}

Desired Languages

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

May 22, 2026