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PwC

Compare

3.4

based on 9.1k Reviews

Video summary

2598 PwC Jobs

Senior Associate _ ML Ops/Data Ops_ Emerging Technologies

Pricewaterhouse Coopers Private Limited

3.4

based on 9.1k Reviews

3-8 years

₹ 6 - 35.459L/yr (AmbitionBox estimate)

Gurgaon / Gurugram

1 vacancy

Senior Associate _ ML Ops/Data Ops_ Emerging Technologies

PwC

posted 13d ago

Job Role Insights

Flexible timing

Key skills for the job

SEO SQL Machine Learning Linux Administration Analytical Chemistry CCTV Monitoring

+ 3 more

Job Description

A career in our New Technologies practice, within Application and Emerging Technology services, will provide you with a unique opportunity to help our clients identify and prioritize emerging technologies that can help solve their business problems. We help clients design approaches to integrate new technologies, skills, and processes so they can drive business results and innovation. Our team helps organizations to embrace emerging technologies to remain competitive and improve their business by solving complex questions. Our team focuses on identifying and prioritizing emerging technologies, breaking into new markets, and preparing clients to get the most out of their emerging technology investments.

Creation and implementation of enterprise grade architectures for deployments of Onpremises ML/LLM models for scalability and efficiency

Working with SEO team for SEO pages generation using LLMs with reduction in AI scores and humanizing the AI generated content

Finetuning LLM models and implementation of RAGs

Interacting with multiple teams and understanding the new requirements, doing PoC on newly proposed requirements proposing various solutions for optimization, efficiency and cost saving

Creation of Web Pages (Blogs) using regularly updated LLMs, with using NLP techniques for reduction of AI scores and improvement of SEO rankings

Implementation of Quality assurance checks for the content being generated from LLMs

Implementation of Lang Chains for achieving requirement specific usecases

Setting up automated ML pipelines on Azure ML Studio for scheduled training of ML models, with CI/CD setups for automating deployments of trained ML model pickle/ joblib dumps on corresponding infra like K8s, Linux Servers using tools like Jenkins and version control tools like Git

Experience on working with Frontend teams for image optimizations for improving the time and efficiency for rendering the web pages

Writing shell scripting for monitoring the efficiency of the generated outputs of LLM models and providing corresponding estimates of required resources for scalability requirements

Mandatory skill sets

Python and opensource technologies ( PySpark , PyTorch , TensorFlow, LangChain , Transformers) Azure data services like (Azure Synapse Analytics, Databricks, SQL Databases, Azure Machine Learning, Azure Cognitive Services etc.)

Preferred skill sets

Proficiency in Python and Azure, AWS DevOps & Data services.

Proficiency in AI/ML model operations, and experience finetuning models and RAG implementation

Experience in creation and implementation of Enterprise grade architectures for implementation and usage of Azure AI Services ensuring security, efficiency and scalability

Experience in building components for data scientists and assisting them in all stages of Model development and deployment.

Experience in Azure ML Studio for setting up pipelines for Model training and end point creation

Experience with IDE/notebook software ( Jupyter Studio, VSCode , PyCharm, etc )

Experience in data extraction and analysis using Google Analytics, Azure Synapse and Big Query

Proficiency in Looker Studio for dynamic dashboards creation and funnel drops analysis

Writing Dockerfile , Shell Scripting and Kubernetes Manifests for deployment of customized applications on Servers and Kubernetes clusters

Years of experience required

3 to 8 years

Education qualification

BE/ B.tech

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

Degrees/Field of Study required Bachelor of Engineering

Degrees/Field of Study preferred

Certifications (if blank, certifications not specified)

Required Skills

Python (Programming Language)

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Artificial Intelligence, Business Planning and Simulation (BWBPS), Communication, Competitive Advantage, Conducting Research, Creativity, Digital Transformation, Embracing Change, Emotional Regulation, Empathy, Implementing Technology, Inclusion, Innovation Processes, Intellectual Curiosity, Internet of Things (IoT), Learning Agility, Optimism, Product Development, Product Testing, Prototyping, Quality Assurance Process Management

Employment Type: Full Time, Permanent

Read full job description

PwC Interview Questions & Tips

Prepare for PwC Senior Associate roles with real interview advice

What people at PwC are saying

3.4

Rating based on 1.5k Senior Associate reviews

Anonymous · Finance & Accounting in Bangalore / Bengaluru

Likes

It's soo good in work culture, Trainings and effective leadership. Seniors are too good and approachable all time.

Skill development - Excellent

+4 more

Dislikes

Salary and promotion cycle. Paid very less compared to other big 4 firms but pressure is equally same.

Promotions - Poor

Read 1.5k Senior Associate reviews

Senior Associate salary at PwC

reported by 15.2k employees

₹8 L/yr - ₹30 L/yr

91% more than the average Senior Associate Salary in India

View more details

What PwC employees are saying about work life

based on 9.1k employees

75%

88%

58%

88%

Flexible timing

Monday to Friday

No travel

Day Shift

View more insights

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PwC Gurgaon / Gurugram Office Locations

View all

Gurgaon / Gurugram (2)

Gurgaon Office

Building 10,, Tower C, DLF Cyber City Gurgaon
Haryana 122002

Gurgaon Office

Building 8, Tower B,DLF Cyber City,Gurgaon Gurgaon
122002