- Expertini Resume Scoring: Our Semantic Matching Algorithm evaluates your CV/Résumé before you apply for this job role: IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram.
Urgent! IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram Job Opening In DLF Phase IV – Now Hiring PwC
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.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 LangChains 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
Degrees/Field of Study required: Bachelor of EngineeringDegrees/Field of Study preferred:Certifications
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
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
✨ Smart • Intelligent • Private • Secure
Practice for Any Interview Q&A (AI Enabled)
Predict interview Q&A (AI Supported)
Mock interview trainer (AI Supported)
Ace behavioral interviews (AI Powered)
Record interview questions (Confidential)
Master your interviews
Track your answers (Confidential)
Schedule your applications (Confidential)
Create perfect cover letters (AI Supported)
Analyze your resume (NLP Supported)
ATS compatibility check (AI Supported)
Optimize your applications (AI Supported)
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
O*NET Supported
European Union Recommended
Institution Recommended
Institution Recommended
Researcher Recommended
IT Savvy Recommended
Trades Recommended
O*NET Supported
Artist Recommended
Researchers Recommended
Create your account
Access your account
Create your professional profile
Preview your profile
Your saved opportunities
Reviews you've given
Companies you follow
Discover employers
O*NET Supported
Common questions answered
Help for job seekers
How matching works
Customized job suggestions
Fast application process
Manage alert settings
Understanding alerts
How we match resumes
Professional branding guide
Increase your visibility
Get verified status
Learn about our AI
How ATS ranks you
AI-powered matching
Join thousands of professionals who've advanced their careers with our platform
Unlock Your IN_Senior Associate Potential: Insight & Career Growth Guide
Real-time IN_Senior Associate Jobs Trends in DLF Phase IV, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for IN_Senior Associate in DLF Phase IV, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 85465 jobs in India and 43 jobs in DLF Phase IV. This comprehensive analysis highlights market share and opportunities for professionals in IN_Senior Associate roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! PwC is currently hiring and seeking a IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram Jobs DLF Phase IV.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram Jobs India varies, but the pay scale is rated "Standard" in DLF Phase IV. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram interview at PwC, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PwC's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
Setting up job alerts for IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram is easy with India Jobs Expertini. Simply visit our job alerts page here, enter your preferred job title and location, and choose how often you want to receive notifications. You'll get the latest job openings sent directly to your email for FREE!