INSenior Associate Azure ML OpsData and AnalyticsAdvisoryPune
Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob 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.
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 EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Azure DevopsOptional 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 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship
Government Clearance Required
Job Posting End Date
May 15 2026Required Experience:
Senior IC
Key Skills
About Company
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