Technical Content Writer & Strategist – CRM & Digital Transformation

What does the role look like?

We are looking for a high-energy, detail-oriented, and technically-savvy Quality Assurance Lead Should be an excellent team manager as well as individual contributor capable of understanding and driving test execution with minimal help. Who can work towards understanding application performance, functionality, and features to great depth enabling them to report issues, take ownership and drive them to closure.

What will you be doing?
 Develop and execute automated tests and test plans
 Efficiently execute test cases across all functional areas of the products(API and App)  Review product user interface for conformity to design guidelines
 Find, isolate, document, regress, and track bugs through resolution
 Interpret and report testing results, and be a vocal proponent for quality in every phase of the development process
 Work with Engineering and product to understand the overall product requirements and technical architecture and how each feature is implemented  Ensure the highest quality product delivery with security.
 Evaluating and integrate open source and in house developed toolsets

What will you need ?
 Bachelor/Master degree in CS or related field from a reputed college
 Experience in manual testing for Application and APIs
 Experience in automation testing using available framework.
 Strong knowledge of QA methodologies, testing frameworks and tools
 Demonstrated experience in test planning, test design, test execution and reporting.
 Excellence in technical communication with peers and non-technical partners.
 Understanding & experience with software design pattern, restful APIs and microservice architecture
 Prior experience in start-ups or health-tech will be a plus

Our Client is a technology based luxury home design company that is committed to creating unique and personalized spaces for our clients. They are into interior designing for HNI clients for their luxury designing needs.

About the role:

• Planning, Budgeting and Forecasting
• Assist the Head Finance in overseeing the company's fiscal activities including planning, budgeting, and financial forecasting.
• Working closely with Sales/Operations/Supply Chain team to ensure delivery of agreed budget.
• To work with Business team in evaluation of monthly financial result, identify the reason for lower performance and work for corrective actions.
• Meet accounting financial objectives by assisting Finance Head in forecasting requirements, preparing an annual budget, scheduling expenditures, analyzing variances, and initiating corrective actions.
• Statutory Compliances
• Ensure timely compliance with all statutory and regulatory authorities including ROC compliances.
• Avoid legal challenges by understanding current and proposed legislation, assisting Finance Head in enforcing accounting regulations, and recommending new procedures
• Checking the bills to comply with local stipulations of finance, tax and relevant legal provisions.
• Monitoring GST Returns - GSTR 1, GSTR 3B and Annual return in 9/9C; reconciliation of Input Tax Credit in books of accounts with GSTR 2A and Electronic Credit Ledger
• Monitoring TDS compliance, deduction and monthly payment, preparation and submission of TDS returns
• Financial Reporting
• Assist and monitor day to day accounting (including accounts payable and accounts receivable)
• Ensure hygiene of accounting processes.
• Reconcile Account Receivable & Accounts Payable including ageing analysis.
• Confirm financial status by monitoring revenue and expenses; coordinating the collection, consolidation, and evaluation of financial data; and preparing reports as required by management.
• Prepare various month/quarterly/annual reconciliations.
• Support in Audit completion - Statutory Audit and Internal Audit; submission of data related requirement & co-ordination with auditors

Requirements

• CA with 3+ years of experience
• Excellent Microsoft Office skills
• Excellent organization skills: ability to plan and organize work so that it is efficient and effective
• Experience in GST filing, TDS filing, and other statutory compliance are recommendatory.
• Experience in Startup is an added advantage.
• Strong analytical skills, communications and presentation skills are required.
• Attention to details and drawing conclusions from large data are critical capabilities.

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.

• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.

• Should have work experience on the following stacks/libraries: Flask

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python

• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Understanding of accessibility and security compliance

• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

We at BitClass are looking for a Sr Product Manager to build the product management function at BitClass and be responsible for end to end product delivery.
We are looking for someone who has a few solid years of experience in product management across B2C companies.

Looking for people who are extremely good with thinking product specs, getting things live in quick time without compromising on the value. Looking for people with extremely strong logical reasoning, designing workflows.

This is as Entrepreneurial as a role can get at a startup and we are only looking for people who believe in what we are trying to do, are supremely vested in what we are building at BitClass and have a very very high sense of ownership.

What we offer in return is a chance to build something magical, generation defining, global product right from the very heart of Namma Bengaluru.
Can't wait to speak with you !

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics