IN-Senior Associate_ML Engineer_Advisory Corporate_Advisory_Bangalore

On-siteSeniorML Engineerposted 22mo ago

✦Role summaryAI-generated

As a Senior Associate ML Engineer at PwC in Bengaluru, you will develop and deploy machine learning models to uncover enterprise insights for clients. You will collaborate with cross-functional teams to integrate data analytics solutions that drive business results.

About this role

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

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.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

*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.

Creating business intelligence from data requires an understanding of the business, the data, and the technology used to store and analyse that data. Using our Rapid Business Intelligence Solutions, data visualisation and integrated reporting dashboards, we can deliver agile, highly interactive reporting and analytics that help our clients to more effectively run their business and understand what business questions can be answered and how to unlock the answers.

Responsibilities:

2. ML engineer:

· 3-5 years of experience as AI/ML engineer or similar role.

· Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

· Hands-on experience with model development and deployment processes.

· Proficiency in programming languages such as Python.

· Experience with data preprocessing, feature engineering, and model evaluation techniques.

· Familiarity with cloud platforms (e.g., AWS) and containerization (e.g., Docker, Kubernetes).

· Familiarity with version control systems (e.g., GitHub).

· Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas.

· Good to have knowledge of deep learning, ML Ops: Kubeflow, MLFlow, Nextflow.

· Knowledge on text Analytics, NLP, Gen AI