IN_Senior Associate_MLOps Lead_GCC_Advisory_Hyderabad

PwC is hiring an IN_Senior Associate_MLOps Lead_GCC_Advisory_Hyderabad (India). Level rates it ; you can apply on PwC.

Level's read on this job

Builds AI ●●●● is how Level rates this role: the job is building AI systems.
PwC mentions visa sponsorship in this posting.
Tools and skills the posting cites include Databricks, MLOps and NLP.
Level lists 3,700+ other open roles at PwC.
The role was posted in the last few days.

AI in this role

Databricks

ml-opsnlp

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.

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.

*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 & Analytics Services will provide you with the opportunity to help our clients leverage transformation to enhance their customer experiences.

*Responsibilities:

Position Overview: ML Ops Lead

Lead the full ML system lifecycle: from experimentation and model development to production deployment and ongoing monitoring.

Design and build scalable, cloud-native MLOps pipelines for training, validation, deployment, and lifecycle management.

Develop and manage ML infrastructure on Azure, with emphasis on Azure Kubernetes Service (AKS).

Implement best practices for model versioning, CI/CD, observability, and reproducibility in ML workflows.

Productionize ML models as robust, low-latency APIs and batch systems integrated into healthcare workflows.

Collaborate cross-functionally with data scientists, engineers, and stakeholders to deliver scalable ML systems.

Monitor model performance, detect drift, and ensure continuous model improvement in production.

Mentor teams on MLOps practices, cloud engineering, and designing production-grade ML systems.

Stay up-to-date with evolving trends in MLOps, distributed systems, and the Azure AI ecosystem.

Who We Are Looking For:

8+ years of experience in Machine Learning Engineering, MLOps, Data Science, or related quantitative fields.

Strong background in machine learning complemented by software engineering skills and systems thinking for production deployments.

Proven experience with large-scale, high-dimensional datasets and building scalable, reliable ML pipelines.

Expertise with modern ML methods, including Transformers for NLP and representation learning.

Demonstrated success taking models from experimentation through to production using MLOps best practices (CI/CD, automation, orchestration).

Ability to independently own ambiguous problems and deliver end-to-end ML solutions.

Excellent collaboration, communication, and stakeholder management skills.

Hands-on experience deploying, monitoring, and managing ML models in cloud environments, preferably Azure and AKS.

Healthcare domain experience, particularly with healthcare revenue cycle, is a plus.

*Preferred skill sets

Python, Machine learning , Deep learning

Years of experience required

8+ years

Location : Hyderabad

Employment Type : Full Time, Permanent

*Education Qualification

Full time B. E

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

Data Science

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, 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 {+ 31 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

July 28, 2026

How we rate this

IN_Senior Associate_MLOps Lead_GCC_Advisory_Hyderabad at PwC rates 88 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

●●●● 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_MLOps Lead_GCC_Advisory_Hyderabad is an open job at PwC.
Level rates this role AI Level 4 of 4: Builds AI.
The role is based in Hyderabad - Salarpuria.
The job was posted on November 6, 2026.
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 OpsNLPDatabricks

Questions you could be asked

How do you monitor a model once it's live, and how do you know it needs retraining?
What NLP problem have you worked on, and how did you measure whether it actually worked?
What are the limits of Databricks that you've run into, and how did you work around them?
How would you decide a model or AI system is ready to ship?
Tell me about a time a model underperformed in production. How did you find out, and what did you change?

Adapt your resume

List these exact terms on your resume: ML Ops, NLP, and Databricks. 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.
Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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