IN-Senior Associate_Full Stack Developer Gen AI_Data & Analaytics_Advisory_Pune
IN-Senior Associate_Full Stack Developer Gen AI_Data & Analaytics_Advisory_Pune
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
Senior AssociateJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Job Description & Summary: A career within. A career within Data and Analytics 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:
3-5 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:
4 - 8
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 AdministrationDegrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Full Stack DevelopmentOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling Data Pipeline 27 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:
Senior IC
Employment Type
Full-Time
