Shubham Vishwakarma
Full Stack Developer - Averlon
About University Living
About
About us
University Living is a global student housing marketplace that helps international students find the best place to stay near university campuses around the world. Currently, our platform offers 1.75Mn beds in 35K properties across 265+ international education hubs in the UK, Ireland, USA, Canada, Europe, Australia, New Zealand, Singapore & UAE. Students can consult a 24/7 support team of accommodation experts to discover, compare and book value-for-money accommodation based on their budget, desired location, and other personal preferences.
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Join our close-knit physical design team where you'll excel in synthesizing, placing, routing and integrating high speed designs. Experience the full spectrum of physical design and implementation, collaborating closely with the RTL team and integrating these blocks seamlessly into the full-chip architecture.
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10+ years of physical design, integration & physical verification experience.
Strong knowledge of block level and full-chip physical verification methodology.
Experience with the complete physical design flow.
Skills in Design Compiler, Fusion Compiler, ICC2 or similar physical design tools
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Expert with IR/EM analysis and resolution
Good understanding of full chip floor planning and integration.
Strong experience in full chip timing closure
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BS or MS in Electrical Engineering
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Knowledge of Synopsys tool suite is a plus.
Good scripting skills with languages like Tcl and Python. Ability to make flow enhancements.
JOB DESCRIPTION
Job Title: Admission Counsellor
Experience: 1-4 Years
Location: Gurgaon
Type of Working: Work from Office, 5 Days
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● Counselling prospective students and guiding them about the different Courses
● Counselling through Data Calling.
● Advise students on specific degree programs and admission procedures.
● Handling queries over the telephone
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● Excellent written and verbal communications.
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PythonRequired Skills:
• Basic understanding of machine learning concepts and algorithms
• Proficiency in Python and relevant libraries (NumPy, Pandas, scikit-learn)
• Familiarity with data preprocessing techniques
• Knowledge of basic statistical concepts
• Understanding of model evaluation metrics
• Basic experience with at least one deep learning framework (TensorFlow, PyTorch)
• Strong analytical and problem-solving abilities
Application Process: Create your profile on our platform, submit your portfolio, GitHub profile, or sample projects.
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- Possesses in-depth knowledge and expertise in Workday Integrations and Workday Extend Platform.
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- Excellent attention to detail and follow-through.
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- Craft Sales Pitches for Sales Team – Create company presentation, company portfolio, case studies, one-page brochure, and other required supporting documents for the sales team.
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Full Stack Developer - Averlon