Senior Associate, AWS DevOps, Data & Analytics, Advisory in Kolkata

Line of Service: Advisory

Industry/Sector: Not Applicable

Specialism: Data, Analytics & AI

Management Level: Senior Associate

PwC's Data and Analytics team empowers clients by leveraging data to drive insights and informed business decisions. We utilize advanced analytics techniques to help clients optimize operations and achieve strategic goals. In business intelligence, you will focus on providing strategic insights and driving informed decision-making for clients, developing and implementing innovative solutions to optimize business performance and enhance competitive advantage.

Why PwC?

Join a vibrant community of solvers at PwC, dedicated to creating distinctive outcomes for clients and communities through purpose-led, values-driven work powered by technology and innovation. Make a tangible impact in the real world. We reward contributions, support well-being, and offer inclusive benefits, flexibility, and mentorship to help you thrive. Grow, learn, care, collaborate, and create a future of infinite experiences.

PwC is committed to equal employment opportunities, fostering an environment free from discrimination and harassment. We celebrate diversity and encourage individuals to bring their authentic selves to contribute to personal and firm growth.

Responsibilities:

• Pipeline Automation: Build and maintain CI/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, and 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 to optimize models for production and with DevOps for infrastructure.
• GenAI / LLM Focus: In cutting-edge roles, establish robust pipelines for LLM fine-tuning and deployment using tools like LangChain or Amazon Bedrock.

Mandatory Skill Sets:

AWS DevOps, Sagemaker, Lambda

Preferred Skill Sets:

AWS DevOps, Sagemaker, Lambda

Years of Experience Required:

4 – 8 Years

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 Engineering