Shubham Vishwakarma
Full Stack Developer - Averlon
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Key Responsibilities Area
Follow work schedule time and safe work practices.
Follow grooming and uniform guidelines as per the QSR Grooming Guide
Effectively open and operate the assigned outlet within the policies and guidelines of the company, ensuring 100% customer satisfaction at all times and protecting stakeholders interests
Assist the Assistant Restaurant Manager/Restaurant Manager in the day to day running and supervision of manpower and scheduling
Own and manager peak period business as per standard operating procedures
Ensure readiness and realistic projections / forecasting on the shift
Take complete responsibility for the entire shift operations relating to cash control, security procedures, maintaining inventory, managing labor, reviewing financial reports, and taking appropriate corrective actions
Ensure upkeep of equipment, facility, and operating environment by following up on scheduled checks as per the Maintenance Contracts
Deliver on food quality by ensuring food sanitation and cleanliness practices in a safe, healthy and hygienic environment
Own the Customer experience and drive loyalty by adhering to food and service standards, encouraging customer feedback and resolving concerns within reasonable time limits. Use empowerment for Customer delight
Provide regular feedback to the Central Kitchen team to escalate/highlight food concerns.
Execute inventory and cost control process to control food wastage and preserve quality on the shift
Train and certify the new and tenured team members regularly to deliver consistent performance on the shift
Be supportive and dependable to the Assistant Restaurant Manager/Restaurant Manager in running effective and efficient restaurant operations
We have opening for Famous Bar in Mumbai ( Vashi / Ghatkopar / Wadala / Vikhroli )
Experience : 6 months to 6 years
Job Title: Steward / Captain
Department: Operations / Service
Reports To: Restaurant Manager/ Assistant Restaurant Manager
Location: Mumbai ( Vashi / Ghatkopar / Wadala / Vikhroli)
Key Responsibilities:
Guest Service & Operations
- Welcome guests warmly and assist them in seating as per service protocols.
- Present menus, take orders accurately, and serve food and beverages as per brand standards.
- Ensure tables are set up neatly before service and cleared efficiently afterward.
- Refill water, clear used dishes, and attend to guest needs proactively.
- Coordinate with the kitchen and bar teams to ensure timely and correct order delivery.
- Maintain awareness of ongoing promotions, menu changes, and daily specials.
Cleanliness & Hygiene
- Maintain cleanliness of the dining area, service stations, and pantry.
- Follow all hygiene, safety, and sanitation standards as per company and statutory guidelines.
- Ensure cutlery, crockery, and glassware are clean, polished, and ready for service.
Qualifications & Experience:
- Minimum 6 months – 2 years of experience in restaurant or hotel F&B service.
- Diploma / Certificate in Hotel Management or equivalent preferred.
- Good communication and interpersonal skills.
- Basic knowledge of food & beverage service techniques.
- Positive attitude, grooming standards, and willingness to learn.
Role:
Responsible for handling sales, distributors, and market growth in the assigned area.
Key Responsibilities:
- Achieve sales targets
- Manage distributors and retailers
- Expand new shops/outlets
- Ensure product availability in market
- Monitor competitor activity
- Handle sales team (if any)
- Submit sales reports
Requirements:
- Graduate
- 3–7 years sales experience (footwear/apparel/FMCG)
- Good communication and leadership skills
About the Role:
We’re looking for a Python Developer to build, optimize, and scale applications that power our trading systems. You’ll work on automation, server clusters, and high-performance infrastructure in a fast-paced, tech-driven environment.
What you’ll do:
- Build and test applications end-to-end.
- Automate workflows with scripts.
- Optimize system performance and reliability.
- Manage code versions and collaborate with peers.
- Work with clusters of 100+ servers.
What we’re looking for:
- Strong Python fundamentals (OOP, data structures, algorithms).
- Experience with Linux commands, Bash scripting.
- Basics of Numpy, Matplotlib, and PostgreSQL.
- Hands-on with automation and scripting tools.
- Problem solver with a focus on scalability & optimization.
Why Dolat?
- Work at the intersection of finance & tech.
- Opportunity to solve complex engineering problems.
- Learn and grow with a team of smart, collaborative engineers.
Company Overview: Vision 360 Visionary Business Solutions Private Limited is a rapidly growing business consulting firm that provides comprehensive solutions to businesses in various industries. We are committed to providing our clients with exceptional service and innovative solutions that help them achieve their goals.
Job Overview:
We are looking for an experienced HR Manager to join our team. The HR Manager will be responsible for managing all aspects of human resources, including but not limited to recruitment, employee relations, performance management, compensation and benefits, and compliance. The successful candidate will be a strategic thinker with excellent communication and leadership skills.
Key Responsibilities:
- Develop and implement HR policies and procedures that are aligned with the company's goals and objectives.
- Manage the full cycle of recruitment, including sourcing, screening, interviewing, and onboarding new employees.
- Foster positive employee relations and provide guidance and support to employees on HR-related matters.
- Manage performance management processes, including setting goals, conducting performance reviews, and developing performance improvement plans.
- Manage compensation and benefits programs to ensure competitiveness and compliance with relevant laws and regulations.
- Ensure compliance with labor laws and regulations and maintain accurate HR records.
- Develop and implement employee training and development programs.
- Oversee the administration of the company's employee engagement programs.
- Develop and maintain effective relationships with key stakeholders, including managers, employees, and external partners.
Qualifications:
- Bachelor's degree in Human Resources, Business Administration or a related field.
- At least 5 years of experience in HR management, preferably in a consulting or professional services environment.
- Strong understanding of HR policies, practices, and regulations.
- Excellent communication and interpersonal skills.
- Demonstrated leadership skills and ability to manage a team.
- Strong analytical and problem-solving skills.
- Ability to work independently and as part of a team.
We offer a competitive salary package, a positive and dynamic work environment, and opportunities for growth and development. If you are passionate about HR and are looking for an exciting new opportunity, we encourage you to apply for this position.
AngularJS (1.x)
Angular (2+)
React.js
NodeJS (Node.js)
MongoDBFull Stack /Node. JS/ React.js Developer:
We are looking for Developers responsible for managing the interchange of data between the server and the users. Your primary focus will be the development of all server-side logic, definition and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end. You will also be responsible for integrating the front-end elements into the application. You will also be responsible for building rich UI components with React.
Skills: Node.js, React.js, MongoDB, Express JS, HTML, CSS.
Requirements:
- Should have experience on Node.js and frameworks available for it, such as Express or StrongLoop. Preferably Express.
- Should have experience in building Rich UI components with React.js.
- Should have hands on experience on MongoDB.
- Strong understanding of JavaScript, its quirks and workarounds.
- Knowledge of ES6, ES7 and Object-oriented and functional programming.
- Understanding the nature of asynchronous programming and its quirks and workarounds.
- Should have experience in working on Linux (Ubuntu) Environment and basic linux commands.
- Proficient understanding of code versioning tools, such as Git.
- Good to have knowledge on Redis DB.
- Good understanding of browser rendering behavior and performance.
- Good to have exposure working in an agile development environment.
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.
- Perform data entry and research in various systems and tracking tools.
- Apply knowledge of processes and related systems to assist in identifying, assessing, and resolving issues/problems.
- Assess and resolve non-standard and standard issues or problems.
- Seek advice and escalate issues when faced with tasks/problems outside the scope of the work.
Go Programming (Golang)
Amazon Web Services (AWS)Intro
EAGLE Power Holdings aims to launch a portfolio of new energy retail brands, all of which enjoy the efficiency of a single technology platform. We want to do more than offer cheap "green" tariffs, and believe that our range of engaging brands can identify with shifts in consumer preferences (e.g. growth of EV usage), with the value of local communities, and with proactive support of broader ESG causes.
Our long-term strategy is technology-driven, and involves unlocking value through the digitalisation of processes around customer acquisition, engagement, and retention.
Developers at EAGLE flourish in an agile process where collaboration and ego-free communication is valued. We believe in developing working software throughout the entire product development process. We engage in product thinking as a team and cross-functionality among product managers, designers, and domain experts is promoted.
How you fit in
Engineering is the executional function of EAGLE's software delivery wing. As a server-side developer at Eagle, you will take the lead on implementing various software services of our core energy retail infrastructure. Not only are you expected to write clean, tested, and maintainable code, you will also be a central part of a product team that iterates constantly, ships regularly, and learns continuously. You will have the creative freedom for learning, experimenting, and responsible risk-taking in a startup environment.
What your role consists of:
- Develop enterprise-scale backend services using Golang
- Collaborate with engineers, UI/UX designers, and product owners to build & ship new features and maintain/enhance existing ones
- Independently come up with extensible low-level software design. Write modular, tested, readable and performant code
- Debug production issues across services and multiple levels of the stack
- Help inform product prioritisation and scoping decisions by evaluating technical complexity and risk
- Improve engineering standards, tooling, and processes
- Maintain technical documentation
What you bring to this role:
- At least 1-3 years of demonstrated ability to rely on an iterative process to maintain momentum on projects in a distributed, collaborative, agile environment
- An ownership mindset: you should look not only at what you’re asked to do, but ask why you’re doing it and how it impacts on the rest of the product, our customers, and whether it makes sense
- Comfort with low-level engineering and ability to write efficient, performant and tested code
- Think deeply about systems and services and write high-quality code. We work mostly in Golang, with AWS Cloudformation. However, languages can be learned: we care much more about your general engineering skill than - knowledge of a particular language or framework.
- Excellent communication skills and ability to give and receive constructive feedback
- Passion for the whole product process. You will have your specific areas of focus, but we find those that are passionate about the bigger picture collaborate best with cross-functional teams
Where we are
While the company is registered in the UK, the software delivery wing is built to be remote-first. Whether you prefer to be in situ or a digital nomad (or anything in between), you are welcome. We are not inclined to support relocation to London for candidates that are not already based there, as we are a remote-first company.
What’s in it for you
We offer competitive salaries based on prevailing rates in your local employment market, but there is further room to negotiate if you are the right candidate. In addition to your basic package, you can expect to receive the following benefits:
- Flexible working hours
- Unlimited annual leave
- On-the-job coaching, and access to mentorship by industry and domain thought leaders
- Full or partial sponsorship for professional/skill development courses, certifications, and other learning opportunities (evaluated on a case-by-case basis)
- Monthly allowance package for remote working (coworking membership or cash allowance)
About EAGLE Power Holdings
In a nutshell: Transforming energy retail and supply through cutting-edge software and AI technology
The venture is in ‘stealth mode’ as we lay the foundations for blast-off. It has been launched by a team with a history of entrepreneurial successes. These include one in the climate change space which services the Californian and North America carbon markets, and another which provides highly refined machine learning software to the energy arena in Asia. Both companies were acquired last year.
This start-up was launched in London at the end of 2020, and will focus on the deregulated energy market in GB. The mission is to discover, or invent, a viable business and operational model for energy retail within the near-zero-cost energy ecosystem that the world is moving towards. This transformation is driven by the ever-decreasing prices of renewables/alternative generation, and by the exponentially growing volumes of national energy system data. We believe these factors have yet to truly disrupt the market, and intend to accelerate the sharing of value back to consumers.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon