Pwc
Data, Analytics & AI
IN_SeniorAssociate_AI/MLEngineer__Data&Analytics_Advisory_Bangalore
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore at Pwc. Skills: AI/ML, LLM, Python, Spark, microservices, Kubernetes, Cloud, MLOps, GenAI, RAG, VectorDBs. design and develop robust data solutions for clients. transforming raw data into actionable insights”
What You'll Achieve.
create distinctive outcomes for our clients and communities; make a tangible impact in the real world; help organizations uncover enterprise insights and drive business results using smarter data analytics; help clients drive innovation, growth, and change within their organizations; help our clients gain a competitive edge
Industry & Context.
Analytical Thinking; Complex Data Analysis; Data Analysis; problem-solving
What They're Looking For.
Must Have
At least 4+ years of total & relevant experience in AI/ML or a related field, Deep understanding of ML and LLM development lifecycle, including fine-tuning and evaluation, Expertise in feature engineering, embedding optimization, and dimensionality reduction, Advanced knowledge of A testing, experimental design, and statistical hypothesis testing, Experience with RAG systems, vector databases, and semantic search implementation, Proficiency in LLM optimization techniques including quantization and knowledge distillation, Understanding of MLOps practices for model deployment and monitoring, GenAI / LLM Engineers (Python, FastAPI, Microservices, K8s, RAG, VectorDBs), Experience in creating LLD for the provided architecture, Experience working in microservices based architecture
Nice to Have
prior experience in industries leveraging AI/ML technologies would be advantageous, AI/ML, Machine Learning, GEN AI, Agentic AI
What You'll Do.
design and develop robust data solutions for clients
transforming raw data into actionable insights
enabling informed decision-making and driving business growth
developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes
designing and optimising algorithms
and systems to enable intelligent decision-making and automation
shaping and leading AI/ML initiatives within our organization
creating LLD for the provided architecture
working in microservices based architecture
How You'll Work.
Team & Collaboration
collaborate with teams and stakeholders
Communication Scope
Communication
Full 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 engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation. _* 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](https://www.pwc.in/about-us.html)_ . 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 th
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