Job Description: Accounts Executive
Position: Accounts Executive
Location: Bangalore
Department: Finance & Accounts
Key Responsibilities:
At least 1-2 yrs year experience
JV/CN/DN knowledge - Journal Vouchers , Credit note, Debit note
Sound Knowledge of GST & Income Tax/ TDS
Technical Skills:
· Proficiency in SAP Business one for financial and tax management.
· Advanced Excel skills.
· Strong Understanding of Indian GST laws & regulations.
Soft skills
· Excellent analytical and problem solving abilities.
· Strong attention to detail and accuracy.
· Good communication and interpersonal skills.
· Ability to work independently and as part of a team
Shubham Vishwakarma
Full Stack Developer - Averlon
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In this role, you will have end to end ownership of a business vertical, owning upwards of USD 3-5 million revenue goals in the next 1-2 years. You will directly lead a global sales team, and cross functionally work with marketing, content, design and other verticals to drive your business objectives.
The north star metrics for the role is revenue.
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Designing and implementing the growth strategy to meet business objectives - which includes sales planning, demand generation, product roadmap & customer experience. Below are some responsibilities that this will entail:
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Responsibilities for Social Media Manager
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We are BeyondScale, on a mission to build a mobile learning app to help organizations create internal courses for their workforce easily. eLearning is booming and we aim to tap into the under-served non-IT L&D market and make a difference in the livelihoods of millions of people.ReactJs Job Description:
Required Skills:
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- Strong Computer Science fundamentals - data structures and algorithms
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The candidate will be part of the team developing and maintaining Networking drivers for the company's 200/100/50/40/25/10GB PCI-E Ethernet adapters.
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He / She will be responsible for the design, coding, and unit testing of the software components.
Requirements:
- Experience in Linux driver development.
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- Experience in programming, analyzing, and debugging kernel crash dumps.
- Good knowledge of TCP/IP Stack and Internals, socket library, DPDK, SPDK, etc.
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This role requires you to work on Linux systems and their associated services which provide the capability for IG to run their trading platform. Team responsibilities include daily troubleshooting and resolution of incidents, operational maintenance, and support for proactive and preventative analysis of Production and Development systems.
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iii. Troubleshooting and Issue Resolution of OS and network stack incidents.
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3. Create a run book of operational processes and follow a support matrix of products.
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Deep LearningDataWeave provides Retailers and Brands with “Competitive Intelligence as a Service” that enables them to take key decisions that impact their revenue. Powered by AI, we provide easily consumable and actionable competitive intelligence by aggregating and analyzing billions of publicly available data points on the Web to help businesses develop data-driven strategies and make smarter decisions.
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We the Data Science team at DataWeave (called Semantics internally) build the core machine learning backend and structured domain knowledge needed to deliver insights through our data products. Our underpinnings are: innovation, business awareness, long term thinking, and pushing the envelope. We are a fast paced labs within the org applying the latest research in Computer Vision, Natural Language Processing, and Deep Learning to hard problems in different domains.
How we work?
It's hard to tell what we love more, problems or solutions! Every day, we choose to address some of the hardest data problems that there are. We are in the business of making sense of messy public data on the web. At serious scale!
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- Some of the most challenging research problems in NLP and Computer Vision. Huge text and image datasets that you can play with!
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The ideal candidate is a strong software developer or a researcher with experience building and shipping production grade data science applications at scale. Such a candidate has keen interest in liaising with the business and product teams to understand a business problem, and translate that into a data science problem. You are also expected to develop capabilities that open up new business productization opportunities.
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- Ensemble approaches for all the above problems using multiple text and image based techniques.
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- Have a strong grasp of concepts in computer science, probability and statistics, linear algebra, calculus, optimization, algorithms and complexity.
- Background in one or more of information retrieval, data mining, statistical techniques, natural language processing, and computer vision.
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- Experience building and shipping machine learning models that solve real world engineering problems. Prior experience with deep learning is a bonus.
- Experience building robust clustering and classification models on unstructured data (text, images, etc). Experience working with Retail domain data is a bonus.
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- Experience working with a variety of tools and libraries for machine learning and visualization, including numpy, matplotlib, scikit-learn, Keras, PyTorch, Tensorflow.
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- Stay on top of latest research in deep learning, NLP, Computer Vision, and other relevant areas.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon