IN_Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram
IN_Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Emerging TechnologiesManagement Level
AssociateJob Description & Summary
At PwC our people in software and product innovation focus on developing cuttingedge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.In testing and quality assurance at PwC you will focus on the process of evaluating a system or software application to identify any defects errors or gaps in its functionality. Working in this area you will execute various test cases and scenarios to validate that the system meets the specified requirements and performs as expected.
*Why PWC
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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: 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.
Responsibilities:
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 :
24 years
Education qualification:
BE//MCA/MTech
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
CI/CDOptional Skills
Acceptance Testing Acceptance Testing Accepting Feedback Active Listening Automated Testing Automation Testing Communication Data Model Testing Debugging Defect Management Documentation Testing Emotional Regulation Empathy Fault Analysis Functional Testing Inclusion Intellectual Curiosity Optimism Performance Testing Problem Diagnosis Programming Languages Quality Assurance Best Practices Quality Assurance Investigations Quality Assurance Process Management Quality Assurance System Architecture 14 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Employment Type
Full-Time
