INSenior Associate Azure ML OpsData and AnalyticsAdvisoryPune

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profile Job Location:

Pune - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation visualisation and statistical modelling to support clients in solving complex business problems.

*WhyPWC
AtPwC 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.

Job Description & summary

We are seeking a highly skilled Senior Associate specializing in Azure ML Ops to join our team. This is a full-time onsite position where you will play a pivotal role in driving machine learning operations using Azure technologies. With a strong focus on deployment management and optimization of ML models this role is critical in ensuring the seamless integration of AI solutions into business processes.

Responsibilities

  • Azure ML Ops Development: Design implement and maintain scalable machine learning operations using Azure ML services.
  • Model Deployment: Manage end-to-end deployment pipelines for machine learning models to ensure efficient production environments.
  • Optimization: Continuously monitor and optimize model performance resource usage and operational processes.
  • Collaboration: Work closely with data scientists engineers and business stakeholders to align ML solutions with organizational goals.
  • Documentation: Maintain comprehensive documentation of ML pipelines workflows and processes.
  • Problem-Solving: Proactively identify and resolve technical issues related to ML Ops.

Work Environment

  • Type: Onsite work environment.
  • Commitment: Full-time employment with 100% resource allocation to this role.

Why Join Us

  • Opportunity to work on cutting-edge machine learning technologies in a dynamic and collaborative environment.
  • Be part of a high-impact team that drives innovation and delivers tangible results.
  • Competitive salary and benefits package tailored to attract top-tier talent.

Mandatory Skill sets

  • Proficiency in Azure ML Ops is mandatory.

Preferred Skill sets:

Experience in industries where machine learning plays a key role in decision-making and automation is highly valued.

    Years of Experience Required

    • Experience: 610 years of relevant experience in machine learning operations with hands-on expertise in Azure ML Ops.

    Education Qualification

    • : While no specific educational qualification is required a background in Computer Science Data Science Engineering or related fields is preferred.

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

    Degrees/Field of Study required: Master of Engineering MBA (Master of Business Administration) Bachelor of Engineering

    Degrees/Field of Study preferred:

    Certifications (if blank certifications not specified)

    Required Skills

    Azure Devops

    Optional Skills

    Accepting Feedback Accepting Feedback Active Listening Algorithm Development Alteryx (Automation Platform) Analytical Thinking Analytic Research Big Data Business Data Analytics Communication Complex Data Analysis Conducting Research Creativity Customer Analysis Customer Needs Analysis Dashboard Creation Data Analysis Data Analysis Software Data Collection Data-Driven Insights Data Integration Data Integrity Data Mining Data Modeling Data Pipeline 38 more

    Desired Languages (If blank desired languages not specified)

    Travel Requirements

    Available for Work Visa Sponsorship

    Government Clearance Required

    Job Posting End Date

    May 15 2026


    Required Experience:

    Senior IC

    Line of ServiceAdvisoryIndustry/SectorNot ApplicableSpecialismData Analytics & AIManagement LevelSenior AssociateJob Description & SummaryAt PwC our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics technique...
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    About Company

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    At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more

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