IN-Senior Associate_ML Engineer_Advisory Corporate_Advisory_Bangalore

PwC is hiring an IN-Senior Associate_ML Engineer_Advisory Corporate_Advisory_Bangalore. Level rates it ; you can apply on PwC.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions visa sponsorship.
The posting mentions PyTorch, TensorFlow and scikit-learn among its tools and skills.
Level classes it as a senior role.
PwC has 3,700+ other open roles on Level.

AI in this role

PyTorchTensorFlowscikit-learnMLflow

ml-opsai-evaluationnlp

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

Mandatory skill sets:

Gen AI, Python

Preferred skill sets:

Gen AI, Python

Years of experience required:

3 - 5

Education qualification:

B.Tech / M.Tech / MBA / MCA

Education (if blank, degree and/or field of study not specified)

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Python (Programming Language)

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

How we rate this

IN-Senior Associate_ML Engineer_Advisory Corporate_Advisory_Bangalore at PwC rates 5 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

IN-Senior Associate_ML Engineer_Advisory Corporate_Advisory_Bangalore is an open job at PwC.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Bengaluru Millenia.
The job was posted on November 22, 2024.
Seniority: senior.
Applications are handled by PwC. Apply on PwC

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ML OpsAI EvaluationNLPPyTorchTensorFlowscikit-learnMLflow

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
How do you decide that one model's output is better than another's for a given task?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What's a project where you used PyTorch hands-on?
Walk me through how you've used TensorFlow in your day-to-day work.

Adapt your resume

List these exact terms on your resume: ML Ops, AI Evaluation, NLP, PyTorch, and TensorFlow. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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