Chat us
Call us
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Emerging TechnologiesManagement Level
Senior AssociateJob Description & Summary
At PwC, our people in software and product innovation focus on developing cutting-edge 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.*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 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 On-premises 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
Fine-tuning 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 use-cases
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 open-source 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 fine-tuning 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 EngineeringDegrees/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 (BW-BPS), 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 {+ 9 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
Eligibility typically includes the qualifications and experience outlined in the job description above, with around 0-5 Years years of relevant experience expected for this role.
The key responsibilities for this role are detailed in the Key Responsibilities section above, covering the core duties expected of a IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram at PwC India.
This role requires around 0-5 Years years of relevant experience, as specified in the job listing. Please refer to the Qualifications & Experience section above for full details.
Skills relevant to this position are outlined in the Qualifications & Experience section above. In general, strong communication, domain knowledge, and the ability to meet role-specific targets are valued across similar BFSI positions.
You can apply directly using the Apply Now button on this page, which will take you to PwC India's application process for this role.