IN_Associate_Full Stack Developer Gen AI_Data & Analaytics_Advisory_Gurugram
IN_Associate_Full Stack Developer Gen AI_Data & Analaytics_Advisory_Gurugram
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
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 business intelligence at PwC you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Why PWC
At PwC you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach 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 firms growth. To enable this we have zero tolerance for any discrimination and harassment based on the above considerations.
Job Description & Summary: A career within. A career within Application and Emerging Technology services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities:
0 -2 years of experience as AI/ML engineer or similar role. Strong knowledge of machine learning frameworks (e.g. TensorFlow PyTorch Scikit-learn). Hands-on experience with model development and deployment processes. Proficiency in programming languages such as Python. Experience with data preprocessing feature engineering and model evaluation techniques. Familiarity with cloud platforms (e.g. AWS) and containerization (e.g. Docker Kubernetes). Familiarity with version control systems (e.g. GitHub). Proficiency in data manipulation and analysis using libraries such as NumPy and Pandas. Good to have knowledge of deep learning ML Ops: Kubeflow MLFlow Nextflow. Knowledge on text Analytics NLP Gen AI
Mandatory skill sets:
ML Ops AI / ML
Preferred skill sets:
ML Ops AI / ML
Years of experience required:
0 - 2
Education qualification:
/ / MBA / MCA
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Technology Master of Business Administration Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Full Stack DevelopmentOptional Skills
Accepting Feedback Accepting Feedback Active Listening Business Case Development Business Data Analytics Business Intelligence and Reporting Tools (BIRT) Business Intelligence Development Studio Communication Competitive Advantage Continuous Process Improvement Data Analysis and Interpretation Data Architecture Database Management System (DBMS) Data Collection Data Pipeline Data Quality Data Science Data Visualization Emotional Regulation Empathy Inclusion Industry Trend Analysis Intellectual Curiosity Java (Programming Language) Market Development 11 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
