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IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram Job Opening In DLF Phase IV – Now Hiring PwC

IN_Senior Associate _ ML Ops/Data Ops_ Emerging Technologies_ Advisory_ Gurugram

    India Jobs Expertini Expertini India Jobs Dlf Phase Iv Computer Occupations In_senior Associate _ Ml Ops/data Ops_ Emerging Technologies_ Advisory_ Gurugram

Job description

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 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 Specified

    Available for Work Visa Sponsorship?

    No

    Government Clearance Required?

    No

    Job Posting End Date

    Required Skill Profession

    Computer Occupations


    • Job Details

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