IN_Senior Associate_Gen AI_Data and Analytics_Advisory_Noida

PwC South Africa; Dadri; On-site; Confidential; Full time

Job summary

PwC is hiring for a Senior Associate in Data, Analytics & AI. The role focuses on designing ML pipelines, model management, and LLM serving with GPUs. You will work with leading AI frameworks and cloud platforms, driving data-driven business insights across client engagements.

The position requires 3+ years in data analytics and AI, with strong Python and ML capabilities. PwC offers a collaborative, inclusive environment with mentorship and flexible programs.

Qualifications

• 3+ years of experience in data analytics and AI
• Strong knowledge of ML pipelines and model management
• Experience with large language models and generative AI
• Proficiency in Python and ML libraries
• Familiarity with MLflow/SageMaker/Vertex AI/AWS/Azure
• Kubernetes and Docker experience

Responsibilities

• Design ML pipelines for experiment and model management
• Develop APIs for model inferencing at scale
• Work with LLM serving and GPU architecture
• Implement model fine-tuning and optimization techniques
• Apply DevOps/LLMOps practices and container orchestration

Skills

Gen AI

LLM

Hugging Face

Python

PyTorch

TensorFlow

Keras

LangChain

LangGraph

Docker

Kubernetes

Education

BE/B.Tech

MBA/MCA

Tools

MLflow

SageMaker

Vertex AI

Azure AI

Job description

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary

At 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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision‑making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

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 about us. 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

• ML Pipeline Design: Design ML pipelines for experiment management, model management, feature management, and model retraining. Design APIs for model inferencing at scale. Proven expertise with MLflow, SageMaker, Vertex AI, and Azure AI.
• LLM Serving and GPU Architecture: Possess deep knowledge of GPU architectures. Expertise in distributed training and serving of large language models. Proficient in model and data parallel training using frameworks like DeepSpeed and service frameworks like vLLM.
• Model Fine‑Tuning and Optimization: Demonstrate proven expertise in model fine‑tuning and optimization techniques. Achieve better latencies and accuracies in model results. Reduce training and resource requirements for fine‑tuning LLM and LVM models.
• DevOps and LLMOps Proficiency: Proven expertise in DevOps and LLMOps practices. Knowledgeable in Kubernetes, Docker, and container orchestration. Deep understanding of LLM orchestration frameworks like Flowise, Langflow, and Langgraph.
• Skill Matrix LLM: Hugging Face OSS LLMs, GPT, Gemini, Claude, Mixtral, Llama LLM Ops: ML Flow, Langchain, Langraph, LangFlow, Flowise, LLamaIndex, SageMaker, AWS Bedrock, Vertex AI, Azure AI Databases/Datawarehouse: DynamoDB, Cosmos, MongoDB, RDS, MySQL, PostGreSQL, Aurora, Spanner, Google BigQuery.
• Cloud Knowledge: AWS/Azure/GCP Dev Ops (Knowledge): Kubernetes, Docker, FluentD, Kibana, Grafana, Prometheus Cloud Certifications (Bonus): AWS Professional Solution Architect, AWS Machine Learning Specialty, Azure Solutions Architect Expert.
• Proficient in Python, SQL, Javascript.
• Mandatory skill sets: Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes.
• Preferred skill sets: SQL,machine learning, data science.
• Years of experience required: 3+
• Education qualification: BE/B.Tech/MBA/MCA Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)
• Required Skills Generative AI Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}.
• Desired Languages (If blank, desired languages not specified).
• Travel Requirements Not Specified.
• Available for Work Visa Sponsorship? No Government Clearance Required? No

Job Posting End Date August 20, 2026.

Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.