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.
Shubham Vishwakarma
Full Stack Developer - Averlon
About xpressbees
About
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Back to Career-
Remember, Restarting a career takes time and perseverance. Celebrate small wins along the way and stay resilient in the face of challenges. With the right mindset, resources, and support, you can successfully restart your career and achieve your professional goals.
About:-Our Career Restart Program aims to provide opportunities, resources, and a supportive environment for women seeking to reenter the workforce after a break.
you will play a crucial role in sourcing, attracting, and selecting highly skilled women who are seeking to restart their careers. You will be responsible for developing and implementing effective recruitment strategies to identify and engage with potential candidates.
Required Skill Set:
- Minimum educational requirement is a bachelor's degree.
- Possess a minimum of three years of recruitment experience.
- Strong knowledge of full-cycle recruitment processes, including sourcing, interviewing, and candidate assessment.
- Familiarity with various sourcing techniques and tools, including social media, job boards, and applicant tracking systems.
- Strong proficiency in both verbal and written communication.
Roles & Responsibilities:
- Working on various clients vacancies.
- posting jobs on social media and portals.
- Screening & Sourcing of resumes.
- Candidate co-ordination for shortlisting process.
- Attending daily review & coordination meeting.
- Training the team members.
- Submitting resumes of candidates to the client/manager.
Must have
- Laptop/Computer
- Good WIFI connection
- Time availability - 7-8 hours/day
We offer competitive Incentives, Bonus, and opportunities for career growth within our organization. Join our team of dedicated professionals and contribute to our ongoing success by attracting and selecting top talent to help us achieve the Vacancy Closures.
React Native
Redux/FluxReact Native
Redux
React Hooks
Developing new user-facing features using React Native
Building reusable components and front-end libraries for future use
Translating designs and wireframes into high quality code
Optimizing components for maximum performance across a vast array of
web-capable devices and browsers
Strong proficiency in JavaScript, including DOM manipulation and the
JavaScript object model
Experience with popular React Native workflows (Redux)
5 Days Working
WOrk From Office
Interviews are F2F
Angular (2+)
AngularJS (1.x)
HTML/CSSHands-on working experience and knowledge of Angular, HTML, CSS, Development experience designing object-oriented JavaScript.
Continuously evaluate and implement new technologies to maximize development efficiency.
Address and prioritize production level bugs and application performance improvements.
An adaptable attitude and understanding of the agile methodology.
Unit-test code for robustness, including edge cases, usability, and general reliability.
Collaborate with cross-functional teams to define, design, and release new features.
About The Company:
Do Your Thng is a branded content marketplace that helps brands multiply their social and digital media performance through unique content creation with the help of content creators and influencers across genres.
Purpose of the Role:
We are looking for someone who is enthusiastic about community , influencer marketing and looking to kick start career in the start up domain.
About the Position:
1. influencer marketing
2. onboarding creators through various social media platforms such as instagram etc.
3. Must have great communication skills and ready to work in a fast paced environment.
4. Ability to connect with various influencers through telegram/whatsapp etc.
- The candidate should be confident, able to navigate and convince the decision-makers, performance-oriented, and flexible at work
- Excellent selling skills
- Excellent technical knowledge
- A keen interest in IT issues
- Should have very good presentation skills
- The ability to write reports and proposals
- The capacity to work well on your own or in a team
- Negotiating skills
- The ability to manage your time and plan your day effectively
- Comfortable working in different time zones to connect with our target audience
- Experience working with end-to-end sales from lead generation to lead conversion.
- Leverage LinkedIn’s services to research and reach out to potential clients
- Develop and execute strategies to expand inbound lead/demand generation
Resource 1: Manager Finance
Job Description:
- Accounts and Finance:
Managing & leading the team of Finance & accounts and driving them towards the business goal of the company including Internal Control over Financial reporting, documenting, fixed assets management and complete working capital management.
- Treasury Management
Coordinating & liaisoning with the banks, renewal of working capital limits with proper documentation. Submitting the monthly/qtrly/annual statements with Banks. Involve in managing the liquidity, understanding the risk and return analysis of investment management
- Direct and Indirect Tax Compliance
- Liaising with consultants/Auditors with respect to Bookkeeping, compliances/Statutory and Internal Audits
- Ensure non payroll compliances under various statutory laws applicable
- Managing Audits of under different statutes (GST/Sales Tax, Companies House)
- MIS & Analytics
Involve in preparing MIS reports by analyzing the P &L, Balance sheet and various financial reports for the understanding of top management. Involve in gathering various information and analyzing the financial data for decision making.
Desired Candidate Profile:
- Chartered Accountant with 3-5 years of Industry Experience
- Must have good communication skills.
- Should have good knowledge of MS office and tally
Location: Pune
About the role:
-
We are looking for an energetic partnership and alliances manager to help us expand our clientèle.
-
The goal is to drive sustainable financial growth through boosting partnerships and forging strong relationships with clients.
-
New Business Development: Prospecting potential E-commerce clients for successful and profitable alliance for various lines of product.
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Researching organizations and individuals on-line (especially on social media) to identify new leads and potential new markets.
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Researching the needs of other companies and learning who makes decisions about purchasing.
-
Understand products and services offered by us and be able to articulate its functions and benefits to external audiences.
-
On boarding the New partner, scoping out the business, and ensuring a smooth transition of the channel.
-
Great interpersonal skills promote interest, which can ultimately lead to purchases. Other essential factors include:
-
Salesmanship – understanding the needs of others and presenting your company as capable of meeting their desires leads to buying
-
Thick skin – potential customers do not always wish to be contacted and sales efforts fail quite routinely, so the ability to move on from negative situations is imperative
-
Multitasking skills – juggling multiple projects and clients is commonplace and requires good time management, attention to detail, and prioritization
-
Industry background – experience in the area in which one is selling can be required or at least helpful, such as healthcare knowledge when promoting medical insurance
-
Analytical skills. Person must evaluate the characteristics of each client to determine the appropriate insurance policy.
-
Communication skills. Person must be able to communicate effectively with customers by listening to their requests and suggesting suitable policies.
-
Initiative. Person need to actively seek out new customers to maintain a flow of commissions.
-
Self-confidence. Person should be confident when making “cold” calls (calls to prospective customers who have not been contacted before). They must speak clearly and persuasively and maintain their composure if rejected.
Responsibilities:
-
Your primary focus is to identify, pitch, negotiate and on-board new clients on the field. You will work on game-changing ideas, use deep business insight and market knowledge to play a critical role in bringing prospects through the full sales cycle.
-
Work with the management team to identify and evaluate new markets, new target clients.
-
Develop and implement strategic sales plan. Identify and evaluate specific new profitable business opportunities. Initiate and complete proposals and presentations for new business opportunities
-
To maintain an excellent client relationship with existing and potential clients
-
Conduct research to identify new markets and customer needs
-
Promote the company’s products/services addressing or predicting clients’ objectives. Prepare sales contracts ensuring adherence to law-established rules and guidelines
-
Meeting the untapped segments and markets.Build the brand, Responsible for Growth and Partnership
-
Designed innovative products for the customers as per the needs.
-
Established relations with major corporates to be a partner in their financial supports for employees and for the wealth advisory.
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Ensure business target achievement: Pipeline building, Client conversion, Onboarding and Revenues
-
Manage customer expectations through cross-functional interactions & ensuring that deliverables are completed. Develop excellent relationships with key clients, provide support during implementation, onboarding and troubleshooting any product issues or concerns.
Requirements:
-
Being pleasantly persistent. Excellent oral and written communication skills
-
Ruthless time management and timely delivery of tasks allocated.
-
Strong Business Development & consultative selling skills.
-
Passionate people who want to hustle and can handle ambiguity
-
History of consistently exceeding KPIs, revenue targets and company goals
-
Ability to resolve problems, adapt, and grow quickly as we create the Client Success organization
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon