Senior Associate_AI/ML_Data & Analytics

1 - 6 years

15 - 19 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description


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.
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 purposeled and valuesdriven 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 .
Responsibilities
Build, Train, and Deploy ML Models using Python on Azure/AWS 1+ years of Experience in building Machine Learning and Deep Learning models in Python Experience on working on AzureML/AWS Sagemaker Ability to deploy ML models with REST based APIs Proficient in distributed computing environments / big data platforms (Hadoop, Elasticsearch, etc.) as well as common database systems and value stores (SQL, Hive, HBase, etc.) Ability to work directly with customers with good communication skills. Ability to analyze datasets using SQL, Pandas Experience of working on Azure Data Factory, PowerBI Experience on PySpark, Airflow etc. Experience of working on Docker/Kubernetes
Mandatory skill sets
Data Science, Machine Learning
Preferred skill sets
Data Science, Machine Learning
 
Education qualification
B.Tech / M.Tech / MBA / MCA
Education
Degrees/Field of Study required Master of Business Administration, Bachelor of Engineering, Master of Engineering
Degrees/Field of Study preferred
Required Skills
Data Science
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 more}
Travel Requirements
Government Clearance Required?

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PwC Service Delivery Center logo
PwC Service Delivery Center

IT Services and IT Consulting

New York NY

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