IN_Manager_AI Engineer_GCC_Advisory_Chennai

PwC; Chennai; Sur place; INR 2 500 000 - 4 500 000; Plein temps

Avantages offerts par ce poste

Mentorship

Flexible benefits

Résumé du poste

PwC in Chennai seeks a Manager-level data analytics professional to design ML pipelines for experiment and model management, build APIs for scalable inferences, and advance LLM deployments across platforms such as SageMaker, Vertex AI and Azure AI. You will optimize training, fine-tuning, and deployment workflows, while applying DevOps practices to maintain robust, scalable pipelines.

Proficiency in Python, PyTorch, Docker, Kubernetes and modern ML tooling is essential, with experience in

Qualifications

• Gen AI and LLM expertise with strong Python and ML libraries.
• Experience with deploying ML models at scale and using modern tooling.
• Knowledge of distributed training and ML ops practices.

Responsabilités

• ML Pipeline Design: design pipelines for experiment & model management.
• LLM Serving: APIs for scalable model inferencing at scale.
• DevOps with ML: Kubernetes, Docker, Flowise/Langflow/LangGraph.

Connaissances

Gen AI

LLM

Huggingface

Python

PyTorch

TensorFlow

Keras

LangChain

LangGraph

Docker

Kubernetes

Flowise

Langflow

SageMaker

Vertex AI

AWS Bedrock

BigQuery

Formation

B.Tech/MCA/BCA/M.tech

Outils

Kubernetes

Docker

Flowise

Langflow

Langraph

LangChain

LLamaIndex

SageMaker

AWS Bedrock

Vertex AI

Azure AI

Description du poste

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager 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:5-8 years Years of Experience required: 5 to 10 Education qualification: B.Tech/MCA/BCA/M.tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Project Management Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, 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 {+ 46 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 September 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.