IN-Senior Associate_ AI/ML Engineer __ Data & Analytics _ Advisory _Bangalore
PwC India
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Benefits offered by this job
Job summary
PwC India is seeking an experienced Data Scientist (AI/ML) to design and lead data engineering initiatives, building robust data infrastructure and pipelines across cloud platforms. The role centers on advancing AI/ML capabilities, experimenting with LLMs, and delivering scalable data solutions in a hybrid work environment.
The candidate should have 4–8 years in AI/ML, strong Python, and experience with Hugging Face, Spark, and MLflow.
Qualifications
- 4+ years of AI/ML or related field experience.
- Deep understanding of ML/LLM development lifecycle, incl. fine-tuning and evaluation.
- Experience with RAG systems, vector databases, and semantic search.
- Knowledge of ML engineering practices including MLOps, deployment, and monitoring.
Responsibilities
- Design and build data pipelines and data transformation solutions.
- Lead AI/ML initiatives and collaborate with stakeholders.
- Develop and deploy AI models and LLM applications.
- Implement scalable data infrastructure and cloud-based solutions.
- Experiment with model serving platforms and quantization techniques.
- Ensure data security and compliance in ML workflows.
Skills
Education
Tools
Job description
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.
In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.
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.
A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations 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.
We are seeking an experienced Data Scientist (AI/ML) with over 4-8 years of experience specializing in Artificial Intelligence (AI) and Machine Learning (ML) to join our team. This is a position with hybrid work environment, providing flexibility and collaboration opportunities. The successful candidate will play a pivotal role in shaping and leading AI/ML initiatives within our organization.
- Advanced proficiency in Python.
- Extensive experience with LLM frameworks (Hugging Face Transformers, LangChain) and prompt engineering techniques.
- Experience with big data processing using Spark for large-scale data analytics.
- Version control and experiment tracking using Git and MLflow.
- Software Engineering & Development: Advanced proficiency in Python, familiarity with Go or Rust, expertise in microservices, test-driven development, and concurrency processing.
- DevOps & Infrastructure: Experience with Infrastructure as Code (Terraform, CloudFormation), CI/CD pipelines (GitHub Actions, Jenkins), and container orchestration (Kubernetes) with Helm and service mesh implementations.
- LLM Infrastructure & Deployment: Proficiency in LLM serving platforms such as vLLM and FastAPI, model quantization techniques, and vector database management.
- MLOps & Deployment: Utilization of containerization strategies for ML workloads, experience with model serving tools like TorchServe or TF Serving, and automated model retraining.
- Cloud & Infrastructure: Strong grasp of advanced cloud services (AWS, GCP, Azure) and network security for ML systems.
- LLM Project Experience: Expertise in developing chatbots, recommendation systems, translation services, and optimizing LLMs for performance and security.
- General Skills: Python, SQL, knowledge of machine learning frameworks (Hugging Face, TensorFlow, PyTorch), and experience with cloud platforms like AWS or GCP.
- Experience in creating LLD for the provided architecture.
- Experience working in microservices based architecture.
- 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/B 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)
- prior experience in industries leveraging AI/ML technologies would be advantageous.
- AI/ML
- Machine Learning
- GEN AI
- Agentic AI
4-8 Years
B.Tech / M.Tech / MCA/MBA
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
(if blank, certifications not specified)
AWS Devops
Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture Development, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
(If blank, desired languages not specified)
Not Specified
No
No
April 14, 2026
Advisory
Not Applicable
Data, Analytics & AI
Senior Associate
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