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
Company social profiles
Similar jobs
Job Description
We are hiring a SEO Team Lead with 2–4 years of hands-on experience in managing on-page and off-page SEO activities. The ideal candidate should be capable of leading SEO strategy and execution while mentoring junior team members and collaborating across departments to improve search engine rankings and drive organic traffic.
Key Responsibilities
- Conduct keyword research aligned with business goals.
- Implement on-page SEO (meta tags, internal linking, URL structure, etc.).
- Execute off-page SEO (link building, guest posting, outreach).
- Monitor website performance using tools like Google Analytics, Search Console, SEMrush, and Ahrefs.
- Perform regular SEO audits and resolve technical issues with developers.
- Optimize content and coordinate with the content team for keyword alignment.
- Analyze competitors to identify SEO opportunities.
- Create monthly SEO performance reports with actionable insights.
- Apply the latest SEO algorithms and AI-based SEO techniques (must).
- Strong knowledge of Technical SEO, Google Search Console, and Core Web Vitals is essential.
- Stay updated with SEO trends and collaborate with tech teams to ensure SEO-friendly site structure.
- Handle client communication, participate in regular client calls to discuss progress, reports, and strategic planning.
Required Skills & Qualifications
- 2–4 years of hands-on experience in SEO (both on-page and off-page).
- Strong working knowledge of major SEO tools such as Google Analytics, Google Search Console, SEMrush, Ahrefs, Screaming Frog, etc.
- Good understanding of search engine algorithms and ranking factors.
- Familiarity with basic HTML/CSS and website structure for SEO troubleshooting.
- Experience with WordPress or other CMS platforms is a plus.
- Ability to manage multiple projects and meet deadlines.
- Strong analytical skills and the ability to interpret data to drive decisions.
- Excellent written and verbal communication skills.
- Experience in handling client calls and reporting is mandatory.
- Bachelor's degree in Marketing, Information Technology, Computer Science, or a related field is preferred.
Apply Now
If you're enthusiastic about SEO and want to be part of a passionate digital team, we’d love to hear from you!
Python
JavascriptAbout the Position:
The Professional Services Consultant (Developer/Team Lead) will be a technical leader accountable for gathering customer requirements, delivering best practice, and executing customer implementation projects while driving new revenue through identifying new opportunities and user adoption. The position also requires providing technical guidance and sharing best practices with the team.
Responsibilities:
- Lead and execute the technical implementation of projects to ensure successful customer deployment and adoption of Egnyte solutions
- Act as liaison between customers and internal teams such as Engineering, Product Management and Technical Support to solve technical problems and propose new feature development
- Engage multiple constituents at the customer organization – Business users and IT
- Ability to multi-task and manage multiple projects with strict deadlines
- Communicate professionally and succinctly and follow Standard Operating Procedures (SOP).
- Reports to Professional Services Director
Qualifications:
- Strong software programming skills that cover four or more of the following areas:
- Experience with various Integrated Development environments (IDE)
- Experience with software repositories
- Programming experience (Python, Javascript, SQL, Bash, PowerShell preferred)
- Full stack web development and app integrations
- Desktop App Development
- Strong application development skills
- Use of SDK platform tools for API integration
- Prior experience developing and implementing Enterprise software or supporting Enterprise applications in technical capacity for a SaaS environment
- Strong experience in Customer Facing Implementation roles
- Excellent customer engagement, presentation, and communication skills
- Attention to detail and adapt to process in a quick changing environment
- Fluency of spoken and written command of English. Any other language is a plus.
- Experience with Governance and Life Sciences industry preferred
- Engagement with pre-sales activities, scoping requirements, Proof of Concept (POC) and product demos.
- Bachelor’s degree in Computer Science or related technical discipline preferred
- 8+ years of relevant technical function experience
.NET
HTML/CSSASP .NET Frontend Developer
GormalOne is a social impact enterprise focused on farmer-centric projects. Our vision is to make farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced technology. Our technology will be highly user-friendly, for the majority of digitally naive farmers. We are looking for people, who are keen to use their skills to transform farmers' lives. You will join a highly energized and competent team that works on advanced global technologies such as OCR, facial recognition, and AI-led disease prediction amongst others.
We are looking for a Frontend .NET Developer with relevant experience of 2+ years to produce scalable software solutions. You will be part of a cross-functional team that is responsible for the full software development life cycle, from conception to deployment.
As a Frontend Developer, you will ensure that our platform visitors can easily interact with the page. You should also be a team player with a knack for visual design and utility.
If you are also familiar with Agile methodologies, we’d like to meet you.
Roles & Responsibilities
- Work with development teams and product managers to ideate software solutions.
- Write code for effective integration with APIs.
- Test software to ensure responsiveness and efficiency.
- Troubleshoot, debug and upgrade software.
- Write technical documentation.
- Translating designs and wireframes into high-quality code.
- Accessibility and performance optimisations of websites across devices.
- Follow the Scrum process, participate in Scrum ceremonies and follow the incremental delivery model.
Basic Requirements
- Experience in .Net framework and Web APIs.
- Good knowledge of Design patterns.
- Excellent communication and teamwork skills.
- Great attention to detail.
- Organizational skills.
- An analytical mind.
Preferred Requirements
- Proven experience of minimum 2 years as a .Net Developer (Frontend) or similar role
- HTML, CSS, JavaScript, JQuery, AngularJS/Angular
- Razor, MVC/ASP.Net Core
- Web API integration
- Degree in Computer Science, Statistics, or relevant field.
Kindly note: Salary shall be commensurate with qualifications and experience
Roles and Responsibilities
1.
Manage client relationships, and facilitators relationship at MHFAI for training and post-training support.
2.
Ideate, design, and implement program that focused on post-training support for mental health first-aiders.
3.
Leverage the new products of MHFAI to the clients that ensures implementation of mental health by building tools and guidelines (for organized groups).
4.
Oversee and facilitate MHFAI instructors for training and upskilling.
5.
Monitor and coordinate the MHFAI Awards program with all the stakeholders involved.
6.
Draft and initiate scientific research, and create tools required at workplace to measure mental health.
7.
Plan and manage webinars, events and activities to promote the idea of mental health at workplaces and educational institutions.
8.
Draft, design, manage and implement guidelines / resources with focus on mental health for the benefit of organized groups.
9.
Keep up-to-date with the latest trends and best practices in Learning and Development and / or mental health, and incorporate them into our training programs.
10.
Manage the Learning and Development budget, ensuring that resources are allocated effectively and efficiently.
11.
Provide support in other operational functions of MHFA as needed.
Requirements:
•
3-15 years in clinical work and / or mental health training
•
Qualification: Msc. Counselling Psychology
Msc. Applied Psychology (any specialization, preferably HR Specialization )
•
Experience in Clinical Practice / Research
•
Exposure to mental health training and created content or training on Mental Health for Adult
•
Experience of having previously worked in organized group is desirable
Experience in Technical writing: 5 - 9 Years
Notice period : 0-30 Days
Location: Jaipur / Jodhpur (Initially Remote)
Requirements:
- Writing, editing and proofreading website content.
- Write Articles, Blogs, Social media, Forum and other SEO best practices.
- Develop content to support SEO strategies to drive traffic to the site and improve website Ranking.
- Understanding of Web publishing requirements.
- Experience in creating content for the web and growing a social audience.
- Editorial mindset with an ability to predict audience preferences.
- Expertise in social media platforms.
- Collaborate with multiple teams to develop compelling content plans.
- Ability to deliver high-quality documentation paying attention to details.
- Basic Knowledge of technical terminologies.
- Excellent communication skills in English both written and spoken.
Java
Spring Boot
NodeJS (Node.js)
Express- Work with product managers to understand product requirements and make them live.
- Ownership of end to end development
- Startup mindset of getting things done and focussing on business goals
- Proven problem solving skills
- 3+ years Hands on experience in designing and developing applications using server side technology (Java, Spring Boot / Node.js, Express)
- Excellent knowledge of Relational Databases, SQL and ORM technologies
- Good knowledge of design patterns
- Proficiency in REST architecture
- Experience with test-driven development
- Experience with Git/CI/CD/Gradle/Maven
- Inclination towards writing quality and performant code
- Experience in Agile development
- Performance tuning, testing, refactoring and automation
- Experience working with AWS Cloud and Devops technologies (terraform , cloudformation, ansible)
- Experience running a production environment
NodeJS (Node.js)
React.jsJavascript
Amazon Web Services (AWS)● Excellent problem solving skills and got right attitude to work in fast paced environments
● Bachelor’s degree in computer science or equivalent practical experience
● 2 to 4(SDE 2), 4 to 7(SDE3) years of experience in software development using
JavaScript / GoLang / Java / Scala and with data structures/algorithms
Preferred qualifications
● Strong in Object Oriented Programming and Design Patterns.
● You have experience of working closely with the product and design teams to deliver the product that materially impacts the business and improves the customer experience
● You follow SOLID principles and have experience with microservice architecture, have designed and implemented high performance scalable services/APIs.
● You have experience with component based architectures, PWA, Service workers, UI patterns and libraries most preferably ReactJS / NextJS
● Write client side high performant applications & develop prototypes
● Experience working with Node, NestJS / Express.
● Experience working with PostgreSQL, Redshift, Dynamo, Mongo and Cassandra databases.
● Experience working with RabbitMQ, Kafka.
● You constantly learn and adopt best practices at work, keeping in mind app performance, security, and scalability.
● You have experience working in distributed systems and built/designed systems to failover, event streaming, caching strategies
● You have experience with Docker/Kubernetes in AWS or any cloud computing platforms. And, are familiar with CI/CD processes.
Kudos if you already have:
● Great communication and team collaboration skills.
Vue.js
AngularJS (1.x)
Angular (2+)React.jsJavascriptWe are looking for a Full Stack Developer to produce scalable software solutions. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Should be familiar with Agile methodologies.
Responsibilities:Participating in the design and creation of scalable software Writing clean, functional code on the front- and back-end Testing and fixing bugs or other coding issues Work with development teams and product managers to ideate software solutions Design client-side and server-side architecture Build the front-end of applications through appealing visual design Develop and manage well-functioning databases and applications Write effective APIs Test software to ensure responsiveness and efficiency Troubleshoot, debug and upgrade software Create security and data protection settings Build features and applications with a mobile responsive design Write technical documentation Work with data scientists and analysts to improve software
Requirements:Proven experience as a Full Stack Developer or similar role Experience developing desktop and mobile applications Familiarity with common stacks Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery) Knowledge of multiple back-end languages (e.g. C#, Java, Python) and JavaScript frameworks (e.g. Angular, React, Node.js) Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design Excellent communication and teamwork skills Great attention to detail Organizational skills An analytical mind
Education :B.E/B.Tech/MCA/MCS/BCS
Experience in PLSQL OR PL/SQL OR Oracle
SQL Server
The primary goal is to Perform Account Reconciliation for the client across multiple portfolios,
Responsibilities :
Performing daily end to end cash reconciliation activities that includes conducting analysis and
recording transactions
Identifying reasons for variances in cash/assets through bank & custody statements and other
supporting data.
Interacting with designated internal teams, bank, custody and advisors for missing trades /corporate
actions/ other transaction items
Following up on actions for pending transactions/incorrect booking with trade team/bank/custody.
Verifying prices and income, rate of interest etc. depending upon the security being booked through
Bloomberg or other market data services and provide appropriate back-ups.
Reporting the issues to supervisors and seek support on an immediate basis
Performing administrative functions related to monthly closing and valuations.
Developing and maintaining a solid working knowledge of the financial services industry and of all
products, services and processes performed by the team
Requirements for this role include:
2+ year(s) of accounting experience for financial instruments (equities, fixed income, and derivatives),
operation of capital markets, and life cycle of trades. Good knowledge of Capital Market
Ability to work regularly scheduled shifts.
University degree or equivalent that required 3+ years of formal studies of Finance/Accounting
principles
2+ year(s) of data entry experience that required a focus on quality including attention to detail,
accuracy, and accountability for your work product.
2+ year(s) of experience using MS-Excel that required you to use Formulas, Tables & Formatting,
Conditional Formatting, Charting, Pivot tables & Pivot Reporting.
1+ year(s) of experience in a service-oriented role where you had to correspond in writing or over the
phone with external customers.
Desired qualities:
A drive to broaden one’s knowledge of the financial services industry by learning new concepts and
systems and taking the initiative to apply it to daily work assignments.
Attention-to-detail to ensure that all deliverables consistently meet the highest standard of quality
and accuracy.
Positivity and collegial approach in assisting both colleagues and clients and the ability to work in
team environment.
Curiosity, critical thinking and attention to detail: Whether it’s to identify a solution to a problem or
possibly help implement a more efficient process or procedure, your skills have a place in our
business.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon