IN_Senior Associate_AI/ML Engineer_Data Analytics_Advisory_Mumbai

PwC South Africa

Mumbai City

On-site

Confidential

Full time

3 days ago

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Job summary

PwC is seeking a Senior Associate to advance data analytics initiatives, developing AI/ML solutions and partnering with clients across industries. You will implement models, manage data pipelines, and drive cloud-based AI delivery to help clients optimise operations and gain competitive advantage.

Qualified candidates will have 3+ years in AI/ML, proficiency in Python and PyTorch/TensorFlow, and hands-on cloud experience with Azure/AWS/GCP.

Qualifications

3+ years of AI/ML engineering experience with cloud exposure.
Proficiency in Python, PyTorch or TensorFlow, and GenAI frameworks.
Hands-on with cloud-native AI services (Azure AI/ML, AWS SageMaker, GCP Vertex AI).
Familiarity with vector databases (FAISS, Pinecone), RAG pipelines, and prompt engineering.
Understanding of autonomous agents, orchestration, and multi-agent systems.
Strong communication and stakeholder management across geographies.

Responsibilities

Build and deploy ML models for classification, regression, NLP, and vision tasks.
Conduct data exploration, feature engineering, model training and evaluation.
Collaborate with data engineers to develop production data pipelines.
Deliver AI projects for clients in the AI/ML space.
Contribute reusable assets and accelerators; advance MLOps and containerization.

Education

BE/BTech

ME/MTech

MBA

MCA

Tools

Snowflake

Alteryx

Dashboard Creation

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.

Job Description & Summary

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities

Build and deploy machine learning models for classification, regression, NLP, and computer vision use cases
Conduct data exploration, feature engineering, model training, tuning, and performance evaluation
Collaborate with data engineers to develop robust data pipelines and integrate models into production systems
Work closely with client and deliver projects in the AI/ML space
Contribute to reusable assets, accelerators, and internal capability building
Develop and deploy AI solutions on cloud platforms (Azure/ AWS/GCP) using MLOps and containerization

Mandatory skill sets

3+ years of experience in AI/ML engineering, with experience in working in a cloud environment
Proficiency in Python, PyTorch/TensorFlow, and GenAI/Agentic frameworks
Hands-on experience with cloud-native AI services (Azure ML, AWS SageMaker, GCP Vertex AI)
Familiarity with vector databases (e.g., FAISS, Pinecone), RAG pipelines, and prompt engineering
Strong understanding of autonomous agents, orchestration, and multi-agent systems
Excellent communication and stakeholder management skills across geographies

Preferred skill sets

Certifications in cloud platforms and AI/ML technologies
Exposure to enterprise-grade AI use cases in BFSI, healthcare, retail, or manufacturing
Knowledge of Responsible AI, data governance, and compliance frameworks
Exposure to Agentic AI, Gen AI
Years of experience required: 3 to 8 years

Education qualification: BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)

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

Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills