
- Establish relationships with new customers and secure contracts with new customers
- Drive the entire sales cycle from initial customer engagement to closed sales
- Prospect for potential customers using various direct methods such as calling and face to face meetings, and indirect methods such as networking
- Work on marketing tools to plan and execute lead generation campaigns
- Consult with prospect about business challenges and requirements,
- Maintain a high level of relevant domain knowledge in order to have meaningful conversations with prospects.
- Make presentations to senior managers and decision-makers
- Draft and deliver proposals
- Report on sales activity
- B2B corporate sales experience in hunting merchants.
- B2B partnership experience is preferred.
- Handled merchants in lending/payment gateway companies will be an added advantage.

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Past experience in working with any product start-up is a plus.
● Proficiency in fundamental front end languages such as HTML, CSS, and JavaScript.
● Familiarity with JavaScript frameworks such as Angular JS, React, and others.
● Knowledge of Node.js and frameworks available for it such as Express (recommended).
● Good understanding of asynchronous request handling, partial page updates, and AJAX
● Understanding of REST Services.
● Experience with Redis.
● Familiarity with database technology such as MySQL, MongoDB and Elasticsearch.
● Proficient understanding of serverless programming.
● Proficient understanding of code versioning tools, such as Git.
● Good problem-solving skills.
● Attention to detail.
1. Technical Understanding (IoT Basics)
- Knowledge of IoT architecture: sensors, connectivity, data processing.
- Familiarity with terms like MQTT, edge computing, protocols (e.g., Zigbee, LoRaWAN).
- Awareness of real-world IoT use cases (smart homes, industry 4.0, healthcare, logistics, etc.).
2. Research Skills
- Ability to translate complex technical topics into easy-to-understand content.
- Staying updated with latest trends, regulations, and innovations (5G, AI in IoT, cybersecurity).
3. Content Writing Skills
- Clear, structured writing that’s accessible to non-engineers.
- Persuasive storytelling around real-life problems IoT solves.
- Creating how-to guides, use case studies, explainer blogs, and product comparisons.
4. SEO & Digital Writing
- Keyword research: "IoT trends 2025", "best IoT devices", etc.
- Meta title, description, internal/external linking.
- Use of visuals: diagrams, infographics, or product screenshots.
5. Audience Adaptation
- Can write for diverse audiences: B2B tech leaders, developers, or everyday consumers.
- Adjusts tone (educational, persuasive, technical) based on the goal
Perks
- Flexible Time
- Certificate
- Full Time Opportunity
🚀 Now Hiring: Salesforce Developer | Full-time | 3-8 Years Experience
Are you passionate about building powerful Salesforce solutions that drive real business impact? We’re looking for a Salesforce Developer to join our fast-growing team in Noida!
This is your chance to work on cutting-edge Salesforce projects, craft high-performance applications, and collaborate with cross-functional experts to shape the future of CRM technology.
🔍 What You'll Do
Design and develop customized Salesforce solutions using Apex, Visualforce, and Lightning Web Components (LWC).
Configure and optimize Salesforce using custom objects, validation rules, flows, and automation tools.
Integrate Salesforce with third-party apps and APIs (REST/SOAP) to create seamless data ecosystems.
Participate in code reviews, testing cycles, and deployment processes.
Maintain data integrity and drive best practices for data migration and management.
Collaborate with Product, QA, and UI/UX teams to roll out new features and enhancements.
Contribute to a culture of innovation, learning, and technical excellence.
✅ What We’re Looking For
3 to 8 years of hands-on Salesforce development experience.
Proficiency in Apex, SOQL, Visualforce, and Lightning Web Components.
Strong command over declarative tools – Flows, Process Builder, Workflow Rules.
Experience with integration patterns and Salesforce APIs.
Familiarity with Git and version control workflows.
Salesforce Platform Developer I certification (Developer II is a big plus!).
Bachelor’s degree in Computer Science, Engineering, or a related field.
🌟 Bonus Points If You Have
Experience with CI/CD tools and DevOps practices in Salesforce.
Exposure to Salesforce Clouds – Sales, Service, or Experience Cloud.
Agile/Scrum methodology experience.
A keen eye for detail and strong debugging/problem-solving skills.
💼 Why Join Us?
Work on transformative Salesforce projects with real business impact.
Join a collaborative team of forward-thinking technologists.
Continuous learning environment with growth-focused culture.
Competitive compensation and benefits.
Job Title - Sr. Administrator, IT Infrastructure Storage
Job Duties -
- Administer IT storage recovery and backup systems. Perform complex provisioning, advanced maintenance, data replication, disaster recovery, data migration, and documentation.
- Participate in ongoing maintenance, utilization, availability, and security of storage infrastructure.
- Perform IT implementations, performance analysis and optimization, monitoring, problem resolution, upgrade planning and execution, and process creation and documentation.
- Analyze and work to improve the quality of services offered by IT. Participate in ongoing technology evaluations to keep up with technology trends and industry standards.
- Be able to script in Perl or Python and perform capacity planning and growth projections.
- Resolve complex IT issues as pertain to the environment and keep abreast on storage & backup technology.
- Experience working with ISILON Storage is a must-have skill.
- Good to have experience in ransomware, anomaly detection, airgap and vaulting technologies.
Education and Experience Requirements -
The position requires a Bachelor’s degree in
Computer Science, Computer Engineering or related field plus 5 years of post-
baccalaureate progressive experience in IT storage environments.
Skills Requirements- Experience must include:
- Expertise in Linux and Windows – Good to have Cloud knowledge
- Utilizing OS-enabled tools for data copy like rsync, robocopy and other tools
- Setting up NFS, SMB, snapshots, replication, SnapMirror, and SyncIQ
- Experience in NAS storage technologies like Netapp, Power scale, Isilon, Qumulo and Weka
- Dell EMC Insight IQ, DataIQ and ESRS, Netapp tools (OCUM/AIUM)
- Rubrik, Cohesity, Veeam and other comparable backup technologies
- Good to have Monitoring and Alerting like Prometheus, SolarWinds, telegraph and Grafana


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.
https://www.binaryfolks.com/career/technical-architect
http://www.binaryfolks.com/career/developer-sr-developer" target="_blank">http://www.binaryfolks.com/career/developer-sr-developer
DEVELOPER: INR 4,00,000 - INR 8,00,000 PER ANNUM
SR. DEVELOPER: INR 5,00,000 - INR 12,00,000 PER ANNUM
TECHNICAL ARCHITECT: INR 9,00,000 - INR 20,00,000 PER ANNUM
SR. TECHNICAL ARCHITECT: INR 14,00,000 - INR 30,00,000 PER ANNUM


- Solid understanding of data structures, design patterns and advanced programming techniques
- In-depth knowledge of OOP, systems analysis and design
- Strong hands-on experience in systems development and systems life cycle methodologies
- Experience in .NET Framework and architecture (ASP.Net, C#, Visual Studio, WCF, WebAPI & MVC )
- Good knowledge of server-side APIs, including experience with REST, JSON, XML
- Experience in MS SQL server designing, coding and delivering database applications
- Knowledge of JavaScript, JQuery, CSS, HTML and front-end languages
- Ability to work on server-side application and integration with the front-end.
- Proficient in English preferred
- Bachelors / Master's degree

Basic Qualifications
- We are looking for Engineers with 2 - 6 years of experience preferably working on ReactJS, Node JS and MERN architecture.
- 2+ years of experience with Java Script, as well as experience on Mongo DB or any other RDS is a must
- AWS experience will a big plus (EC2, RDS, SQS, s3, Route 53)
- Have designed and implemented RESTful APIs.
- Should be able to work with UI/UX developer to transform wireframes into HTML, css, and javascript screens. Should be able to integrate screens to business logic and architect database schema to ensure complete design.
- Exposure to web analytic tools such as Google Analytics, and Google Tag Manager would be perfect.
In addition, ideal candidate should have
- Good problem solving skills
- Must have good work ethic
- Excellent communication skills
- Works independently
- Detail oriented
*Note: We are looking for immediate joiners
To train and support them
To aware them of their duties and benefits
To aware them their salary and target
To create business development opportunities
To generate leads through team
To handle dealers and distributor network
To generate sales
To generate revenue
To achieve sales target

