IN_Senior Associate_AI Engineer_Data and Analytics_Advisory_Bangalore

PwC; Bengaluru; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

PwC in Bengaluru is seeking a Senior Associate to lead data science initiatives within Advisory. You will architect ML pipelines, collaborate with cross-functional teams, and deliver data-driven insights.

The role requires 5–8 years of experience, strong Python, ML, and cloud skills, and the ability to communicate with non-technical stakeholders. PwC offers mentorship, flexible programs, and a supportive environment.

Qualifications

• Strong command of data science methods and ML modelling.
• Experience with cloud platforms and MLOps pipelines.
• Proficiency in Python, SQL, and big data tooling.

Responsibilities

• Design and develop ML pipelines and models.
• Prototype and productionize NLP/LLM solutions.
• Collaborate with stakeholders to translate business problems.

Skills

Data Science

Python

SQL

Spark

Big Data

Education

Master of Engineering

Bachelor of Engineering

Tools

Docker

Kubernetes

HuggingFace

MLflow

Azure

Job description

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

WhyPWC

AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 experiencesforeach other. Learn more

about us

.

AtPwC, 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.

Education

Degrees/Field of Study required: Master of Engineering, Bachelor of Engineering

Required Skills

Data Science

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}

Mandatory skill sets

Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

Preferred skill sets

Gen AI,LLM, Huggingface, python,pytorch/tensor flow/keras, Langchain, Langgraph, Docker, Kunernetes

Years of experience required

5-8 years

Education qualification

B.Tech/MCA/BCA/M.tech

Job Description & Summary

• Proficient in programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.
• Proficient in Statistical modelling and Machine techniques such as time series forecasting, Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, etc.
• Good exposure to deep learning and associated frameworks (PyTorch, TensorFlow, and Keras).
• Ability to perform preprocessing of structured and unstructured data: Processing, cleansing, and validating the integrity of data to be used for analysis.
• Strong working experience with cloud platforms: build, train, and deploy ML Models on Azure/AWS/GCP.
• Good working knowledge in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.).
• Hand-on experience in the MLOps (Dockerization, REST APIs and the CI/CD/CT processes).
• Adaptation of foundation models/LLMs to address specific business challenges.
• Utilizing version control for maintaining codebase integrity and collaboration, fostering a collaborative and error-free development environment.
• Design, deploy and manage prompt-based models on LLMs for various NLP tasks.
• Build and maintain data pipelines and data processing workflows for prompt engineering on LLMs utilizing cloud services for scalability and efficiency.
• Familiarity with LLM orchestration and agentic AI libraries.
• Good understanding of business and ability to translate domain problems to data science problem.
• Ability to communicate effectively with both technical and non-technical stakeholders.

Responsibilities

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