Shubham Vishwakarma
Full Stack Developer - Averlon
About uFaber Edutech
About
uFaber is one of the fastest growing Edutech company’s in India, specialising in personalised training with latest technologies and high quality content. Spearheaded by IITians with over 10 years of experience in education, uFaber has one of the largest course catalogues across languages, entrance exams and skill enhancement subjects.We currently have over 1000 hours of video content and a customer base of 50000 + students.
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NodeJS (Node.js)
Express
React.js
MongoDBPosition - Full Stack Developer (MERN + Laravel/PHP)
Responsibilities:
- Front-End Development: Build responsive and modern interfaces using React.js, JavaScript (ES6+), HTML5, and CSS3.
- Back-End Development:
- Develop APIs and server-side logic with Node.js, Express.js, PHP, and Laravel.
- Database & API Work:
- Work with MySQL, MongoDB, and integrate RESTful APIs and third-party services.
Collaboration & Delivery: Contribute in an Agile/Scrum environment, using Git for version control and CI/CD pipelines for deployments.
Problem Solving: Debug, optimize, and ensure scalability and maintainability of applications.
Required Skills & Qualifications:
- Strong knowledge of React.js (hooks, lifecycle, state management).
- Proficiency in JavaScript (ES6+), HTML5, CSS3, and responsive design.Hands-on experience with Node.js + Express.js (middleware, error handling, authentication/authorization).Solid expertise in PHP & Laravel framework (routing, middleware, Eloquent ORM, Artisan CLI).Experience in API design, authentication (JWT, Laravel Sanctum), and integration.Familiarity with Git/GitHub and basic CI/CD tools.Strong problem-solving ability and teamwork in Agile projects.
IndiWork Software Solutions Pvt Ltd is urgently looking for talented SEO Executives with 3 to 4 years of experience to join our growing team!
Job Location: Industrial area, Mohali Phase 7 Mohali
Skills :- strong knowledge in #on-page , #off-page
"Job title - Business Manager/Sales Manager
Location - Noida / Gurugram
Job Responsibilities -
● Identifying and onboarding the potential DSAs and Channel partners from open market
● Build and strengthen relationships with new and existing partners to drive business targets
● Provide day to day operational support to your channel partners
● Responsible for driving monthly sales targets and respective business metrics
Job Requirements -
● Excellent sales skills, e.g. rapport building and negotiation skills
● Good written and verbal communication skills
● Should have prior experience in NBFC and DSA preferably in mortgages (Home loan and
LAP)
● Own Conveyance and strong local industry network are preferred for this role
● Fluency in the regional language will be an additional benefit"
Job Description
Designation: B2B Sales Manager / Lead
● Location: Bandra West, Mumbai, India
● Position Type: Full-time, Permanent
Company Description
Brown Living (www.brownliving.in) is a platform focused on making Sustainable Living Easy, Accessible, and Affordable. As India's first plastic-free marketplace, we promote a sustainable and earth-friendly lifestyle. Our team curates a wide range of everyday-use products that are
ethically sourced and promote minimal waste. We support artisan groups and sustainable brands dedicated to creating a positive environmental impact. Through our platform, we are building India's largest ecosystem for sustainable living and empowering artisans, women entrepreneurs, and innovators to combat plastic pollution.
Role Description
The B2B Sales Manager / Lead is responsible for driving revenue growth through the development and execution of effective sales strategies. This role involves leading and motivating a sales team, identifying and cultivating B2B sales opportunities, building strong client relationships, and closing deals. The successful candidate will have a proven track record in B2B sales and a deep understanding of the sales process.
Key Responsibilities:
■ Lead and manage B2B sales for the organization.
■ Identify, qualify, and pursue new B2B sales opportunities.
■ Build and maintain strong relationships with potential and existing B2B clients.
■ Negotiate contracts and close deals to achieve sales targets.
■ Develop and implement effective B2B sales strategies and plans.
■ Conduct market research and competitor analysis to identify opportunities.
■ Provide sales forecasts and reports to management.
Key Result Areas (KRAs):
● Achievement of B2B sales targets and revenue goals.
● Acquisition of new B2B clients within the target market.
● Increased B2B market share and customer retention.
● Improvement in sales performance and productivity.
● Effective implementation of sales strategies and initiatives.
Required Qualifications and Skills:
● Proven track record in B2B sales (2 - 3 years), preferably in the e-commerce or
sustainability industries.
● Strong leadership and team management skills.
● Excellent negotiation, communication, and interpersonal skills.
● Ability to build and maintain strong client relationships.
● In-depth understanding of B2B sales cycles and processes.
● Proficiency in sales forecasting and pipeline management.
● Strong analytical and problem-solving skills.
● Ability to work independently and as part of a team.
● Proficiency in sales CRM and other relevant software.
● Bachelor's degree in business, marketing, or a related field preferred.
Note: This role offers an exciting opportunity for a young professional who is passionate about sales and making a positive impact in the sustainability space. Based in Mumbai, India, the successful candidate will join a collaborative and passionate team dedicated to driving innovation and positive change at Brown Living.
How to Apply:
Interested candidates can apply online via the job application form available here - https://docs.google.com/forms/d/e/1FAIpQLSdgb8MMrZX0STJb1Nt63jizdYccAxTQWbAmFAt4YcoAJBJlmg/viewform
Read More:
1. Website - https://brownliving.in/
2. About Brown Living’s Mission & Vision - https://brownliving.in/pages/about-us
3. Meet the Brown Living Team - https://brownliving.in/pages/our-team
4. Work with Us - https://brownliving.in/pages/work-with-us
5. The Brown Lens Curation Method - https://brownliving.in/pages/the-brown-lens
6. Brown Living’s Impact - https://brownliving.in/pages/our-impact-plastic-free-carbon-neutral-shopping
PHP
Laravel
CodeIgniterAs a PHP Backend Developer, your primary responsibility will be to develop and maintain the server-side logic of web applications, ensuring high performance, responsiveness, and scalability. You will work closely with the front-end development team, project managers, and other stakeholders to deliver robust and efficient web solutions.
Responsibilities:
- Develop and maintain server-side applications using PHP frameworks (such as Yii, Laravel, Symfony, and CodeIgniter) and other related technologies.
- Write clean, well-structured, and reusable code following industry best practices and coding standards.
- Collaborate with front-end developers to integrate user-facing elements with server-side logic.
- Design and implement secure and efficient APIs for data exchange with the front end and external services.
- Optimize application performance by identifying and resolving bottlenecks, improving code efficiency, and implementing caching mechanisms.
- Ensure data integrity and implement proper validation and error-handling techniques.
- Collaborate with database administrators to design and optimize database schemas and queries.
- Conduct thorough testing and debugging of applications to ensure high-quality deliverables.
- Stay updated with the latest trends and advancements in PHP development and related technologies.
- Participate in code reviews and provide constructive feedback to maintain code quality and improve team collaboration.
- Collaborate with the project management team to estimate project timelines and deliver work within specified deadlines.
- Troubleshoot and resolve production issues, provide technical support and perform maintenance tasks as required.
Requirements:
- Proven work experience as a PHP Backend Developer or similar role.
- Strong proficiency in PHP and its frameworks (Yii, Laravel, Symfony, etc.) with a good understanding of object-oriented programming principles.
- Experience with frontend technologies (HTML5, CSS3, JavaScript) and their integration with backend systems.
- Familiarity with database systems, such as MySQL, PostgreSQL, or MongoDB, and proficiency in writing efficient database queries.
- Knowledge of version control systems like Git for code collaboration and deployment.
- Familiarity with RESTful API development and integration of third-party APIs.
- Experience in optimizing application performance and implementing caching techniques.
- Understanding of security principles and best practices for web application development.
- Excellent problem-solving and analytical skills with strong attention to detail.
- Good communication and teamwork skills to collaborate effectively with cross-functional teams.
- Ability to work independently and handle multiple projects simultaneously.
Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
vision to evolve into a strong full-service logistics organization reflects itself in the various lines of business like B2C
logistics 3PL, B2B Xpress, Hyperlocal and Cross border Logistics.
Our strong domain expertise and constant focus on innovation has helped us rapidly evolve as the most trusted
logistics partner of India. XB has progressively carved our way towards best-in-class technology platforms, an
extensive logistics network reach, and a seamless last mile management system.
While on this aggressive growth path, we seek to become the one-stop-shop for end-to-end logistics solutions. Our
big focus areas for the very near future include strengthening our presence as service providers of choice and
leveraging the power of technology to drive supply chain efficiencies.
Job Overview
XpressBees would enrich and scale its end-to-end logistics solutions at a high pace. This is a great opportunity to join
the team working on forming and delivering the operational strategy behind Artificial Intelligence / Machine Learning
and Data Engineering, leading projects and teams of AI Engineers collaborating with Data Scientists. In your role, you
will build high performance AI/ML solutions using groundbreaking AI/ML and BigData technologies. You will need to
understand business requirements and convert them to a solvable data science problem statement. You will be
involved in end to end AI/ML projects, starting from smaller scale POCs all the way to full scale ML pipelines in
production.
Seasoned AI/ML Engineers would own the implementation and productionzation of cutting-edge AI driven algorithmic
components for search, recommendation and insights to improve the efficiencies of the logistics supply chain and
serve the customer better.
You will apply innovative ML tools and concepts to deliver value to our teams and customers and make an impact to
the organization while solving challenging problems in the areas of AI, ML , Data Analytics and Computer Science.
Opportunities for application:
- Route Optimization
- Address / Geo-Coding Engine
- Anomaly detection, Computer Vision (e.g. loading / unloading)
- Fraud Detection (fake delivery attempts)
- Promise Recommendation Engine etc.
- Customer & Tech support solutions, e.g. chat bots.
- Breach detection / prediction
An Artificial Intelligence Engineer would apply himself/herself in the areas of -
- Deep Learning, NLP, Reinforcement Learning
- Machine Learning - Logistic Regression, Decision Trees, Random Forests, XGBoost, etc..
- Driving Optimization via LPs, MILPs, Stochastic Programs, and MDPs
- Operations Research, Supply Chain Optimization, and Data Analytics/Visualization
- Computer Vision and OCR technologies
The AI Engineering team enables internal teams to add AI capabilities to their Apps and Workflows easily via APIs
without needing to build AI expertise in each team – Decision Support, NLP, Computer Vision, for Public Clouds and
Enterprise in NLU, Vision and Conversational AI.Candidate is adept at working with large data sets to find
opportunities for product and process optimization and using models to test the effectiveness of different courses of
action. They must have knowledge using a variety of data mining/data analysis methods, using a variety of data tools,
building, and implementing models, using/creating algorithms, and creating/running simulations. They must be
comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion
for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Roles & Responsibilities
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Building cloud services in Decision Support (Anomaly Detection, Time series forecasting, Fraud detection,
Risk prevention, Predictive analytics), computer vision, natural language processing (NLP) and speech that
work out of the box.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Build core of Artificial Intelligence and AI Services such as Decision Support, Vision, Speech, Text, NLP, NLU,
and others.
● Leverage Cloud technology –AWS, GCP, Azure
● Experiment with ML models in Python using machine learning libraries (Pytorch, Tensorflow), Big Data,
Hadoop, HBase, Spark, etc
● Work with stakeholders throughout the organization to identify opportunities for leveraging company data to
drive business solutions.
● Mine and analyze data from company databases to drive optimization and improvement of product
development, marketing techniques and business strategies.
● Assess the effectiveness and accuracy of new data sources and data gathering techniques.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize customer experiences, supply chain metric and other
business outcomes.
● Develop company A/B testing framework and test model quality.
● Coordinate with different functional teams to implement models and monitor outcomes.
● Develop processes and tools to monitor and analyze model performance and data accuracy.
● Develop scalable infrastructure, including microservices and backend, that automates training and
deployment of ML models.
● Brainstorm and Design various POCs using ML/DL/NLP solutions for new or existing enterprise problems.
● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
communicating your needs and understanding theirs and address external and internal shareholder's
product challenges.
● Deliver machine learning and data science projects with data science techniques and associated libraries
such as AI/ ML or equivalent NLP (Natural Language Processing) packages. Such techniques include a good
to phenomenal understanding of statistical models, probabilistic algorithms, classification, clustering, deep
learning or related approaches as it applies to financial applications.
● The role will encourage you to learn a wide array of capabilities, toolsets and architectural patterns for
successful delivery.
What is required of you?
You will get an opportunity to build and operate a suite of massive scale, integrated data/ML platforms in a broadly
distributed, multi-tenant cloud environment.
● B.S., M.S., or Ph.D. in Computer Science, Computer Engineering
● Coding knowledge and experience with several languages: C, C++, Java,JavaScript, etc.
● Experience with building high-performance, resilient, scalable, and well-engineered systems
● Experience in CI/CD and development best practices, instrumentation, logging systems
● Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights
from large data sets.
● Experience working with and creating data architectures.
● Good understanding of various machine learning and natural language processing technologies, such as
classification, information retrieval, clustering, knowledge graph, semi-supervised learning and ranking.
● Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest,
Boosting, Trees, text mining, social network analysis, etc.
● Knowledge on using web services: Redshift, S3, Spark, Digital Ocean, etc.
● Knowledge on creating and using advanced machine learning algorithms and statistics: regression,
simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
● Knowledge on analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Core metrics,
AdWords, Crimson Hexagon, Facebook Insights, etc.
● Knowledge on distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, Kafka etc.
● Knowledge on visualizing/presenting data for stakeholders using: Quicksight, Periscope, Business Objects,
D3, ggplot, Tableau etc.
● Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural
networks, etc.) and their real-world advantages/drawbacks.
● Knowledge of advanced statistical techniques and concepts (regression, properties of distributions,
statistical tests, and proper usage, etc.) and experience with applications.
● Experience building data pipelines that prep data for Machine learning and complete feedback loops.
● Knowledge of Machine Learning lifecycle and experience working with data scientists
● Experience with Relational databases and NoSQL databases
● Experience with workflow scheduling / orchestration such as Airflow or Oozie
● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
● Strong Data Engineering & ETL skills to build scalable data pipelines. Exposure to data streaming stack (e.g.
Kafka)
● Relevant experience in fine tuning and optimizing ML (especially Deep Learning) models to bring down
serving latency.
● Exposure to ML model productionzation stack (e.g. MLFlow, Docker)
● Excellent exploratory data analysis skills to slice & dice data at scale using SQL in Redshift/BigQuery.
Angular (2+)
AngularJS (1.x)Exp-3-8Yrs
Job Location: Bangalore/Udupi/Mumbai
About Company
Robosoft is a full-service digital transformation company, with a vision to Simplify Lives. We offer end-to-end solutions in Product Advisory, Design, Engineering, and Analytics. The delightful, intuitive digital experiences we craft help enterprises offer great customer experiences and drive brand preference. In 1996, our first customer was Apple Inc. Since then, with 25 years of experience in software development, we have played an active role in the ever-changing world of digital experiences - from mobile app development to emerging technologies in digital experiences.1000+ employees based in Udupi, Bangalore, and Mumbai.
The acquisition of Robosoft with TechnoPro in Aug-21 is giving us more value and scalability to grow at a faster pace. We have partnered with several prestigious brands across the globe including Discovery, ESPN, AAA, HP, McDonald’s India, Paytm, NDTV, Viacom18, Disney, BSI and more. We have crafted over 2000 digital experiences and our apps have garnered over a billion downloads. Our clients are spread across diverse domains - Banking & Financial Services, E-commerce & Retail, Media & Entertainment, Healthcare & Pharma to name a few.
Voted ‘Mobile App Development Company of the Year’ at the Amazon Mobility Awards, our other prestigious awards include Top Wearable App Developers, Best UX Design Agency 2020, ‘Products, Upgrades, and Innovation of the Year' at CEO World Awards, Best of App Store, Apple Design Award, BAFTA, Stevie Gold Winner at American Business Awards to name a few.
Mission: Simplifying lives through delightful digital experiences
Key Responsibilities
- Drive the execution of all product lifecycle processes for Operational Automations and efficiencies, including product research, market research, competitive analysis, planning, positioning, roadmap development, requirements development, and product launch
- Improve Tracking Experience and manage 3PL Logistic Integrations
- Assess current competitor offerings, seeking opportunities for differentiation
- Analyze consumer needs, current market trends, and potential partnerships from an ROI and build vs. buy perspective
- Create product strategy documents that describe business cases, high-level use cases, technical requirements, revenue, and ROI
- Translate product strategy into detailed requirements for prototype construction and final product development by engineering teams
- Collaborate closely with engineering, production, marketing, and sales teams on the development, QA, and release of products and balance of resources to ensure success for the entire organization
- Implement, and maintain production timelines across multiple departments
- Appraise new product ideas and strategize appropriate to-market plans
- Drive RTO Reduction rates
Key requirements:
- Engineering or an MBA graduate from a reputed university
- 4+ years of product management experience, preferably with consumer and/or b2b startups that have attained scale
- Experience identifying business opportunities, building a product strategy, and influencing deliver against a multi-year roadmap
- Understands core technologies utilised in their product domain and is fluent in pros and cons of technical alternatives
- Good understanding of acquisition and retention funnels
- Demonstrated ability to achieve goals in a fast paced and an unstructured environment. Thrives in ambiguity and rapidly changing environment
- Hands-on experience of both qualitative and quantitative research methods such as AB testing, data analytics, and user research
- Robust understanding of complex and scalable technical architecture for web and mobile applications
- Problem solver with strong analytical skills and comfort with data
- Excellent verbal and written communication skills
TITLE: Guest Relationship Executive (GRE)
DEPARTMENT: Sales
REPORTING TO: Club Manager (CM) / Deputy Club Manager (DCM)
GENERAL SUMMARY:
The Guest Relation Executive (GRE) will represent the UFC GYM by providing a
welcoming, informative and entertaining experience for all members and guests during
their visits. The GRE’s are responsible for driving (non-members) into the gym in order
to deliver industry leading customer services to them as well as our current members.
This service must translate into exceeding personal revenue targets issued by
management through both internal and external prospecting. This is a full-time position
reporting directly to the Deputy Club Manager & Club Manager.
ESSENTIAL DUTIES & RESPONSIBILITIES:
1. Lead Generation & Appointment Booking
Personal minimum expectation: Minimum 50 follow-up calls per day, Minimum 7
appointments booked and confirmed per day and Minimum 2 membership
enrolment per day, 2 personal coaching enrolments per week and two units of
merchandise sales per week.
External marketing, promotions and prospecting. This is a daily activity and
requires off site promotions including distributing passes, building relationships
with local merchants and branding events to inform the community of UFC gym
and services, ultimately resulting into leads. (A lead is a non-members name and
contact information.
Internal marketing and prospecting. This includes collecting leads at the point of
enrolment and from the current member base through relationship building and
referral tables. These activities must translate into lead gathering.
Book membership appointments through productive prospecting activities and
meet or exceed monthly appointment goals set forth by the company.
Ensure that appointments are booked to translate into enough guests and meet
or exceed monthly guest goal set forth by the company.
2. Guest Touring, Membership Presentations, & Personal Production
Ensure that 100% of guests taken through a tour. These tours should translate
into enrolling half of the guests that are seen on a membership (50% Closing) and
20% of them enrolling with Personal Training.
Use the company approved presentation when presenting membership options
to non-members. Ensure each new member meets a manager before completing
the sales process and exiting the gym. Proper presentation and introductions to
the manager should translate to 50% closing of guests.
Ensure Personal Sales Target goals are met or exceeded each month for New
Member Sales Revenue, Renewal membership Sales Revenue, Personal Coaching
Sales Revenue and Merchandise Sales Revenue.
Ensure integrity of each sale.
3. Customer Service
Follow up with members that have enrolled to ensure we are exceeding
expectations.
Provide the highest level of customer service possible when communicating and
interacting with guests.
Assist in maintaining a clean, hygienic and operational facility.
Accountable for saving members that are requesting to cancel their membership.
If the Membership Specialist is unable to convince a member from cancelling
they must have any manager meet the member and sign off on the cancelation.
Recording all customer feedback & complaintsand sharing the same with DCM,
CM, GM and the Top Management.
Filing and reporting members incident report with the DGM/ CM/ GM and top
Management.
Updating the members on any rescheduling or cancellation of scheduled classes.
4. Miscellaneous
Sales Schedule: All GRE’s must be available to work Weekends and
Holidays. Requests for days off must be given in writing and exceptions
can be made by the General Manager.
Mandatory Meetings: Monthly “All Team Meeting” and “Daily
Production Meetings” are mandatory.
Follow, implement and audit all rules, regulations and guidelines of the
organisation.
ORGANIZATION RELATIONSHIPS: The GRE’s will interact with club staff, including the
Operations and Fitness Departments as well as the Guest Relations Team. The
Membership Specialist will also communicate with members, guests and vendors in the
community regarding company promotions and membership packages to support club
sales.
This position description intends to describe the general nature and level of work being
performed by people assigned to this job. It is not intended to include all duties and
responsibilities. The order in which duties and responsibilities are listed is not
significant.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon