


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.

About xpressbees
About
Similar jobs
Roles and Responsibilities
- Identifying and mapping the organization's external talent pool to essential jobs.
- Create job descriptions and interview questions that are specific to each position's requirements.
- Source and recruit candidates by using databases, social media, and hiring portals (Naukri, IIM Jobs, Linkedin etc.) and other creative sources
- Plan and execute candidate engagement activities, including owning the candidate experience from start to finish, pre-onboarding engagement, and post-joining engagement.
- Keep track of employee growth and the company's atmosphere and culture to ensure that it remains pleasant and productive.
- Research, mapping, company analysis, pitching, understanding the startup ecosystem, having intelligent discussions with talent and founders, preparing talent for interviews, and following up with talent are all things which need to be handled.
- Drive outcomes with zeal, think and act fast, and function long-term and in the best interests of the organisation.
- Ensure a wonderful candidate experience for everybody — you'll create teams and processes that prioritise a fantastic applicant experience.
What are we Looking for:
- Ability to work with a wide range of clients, including senior level business leaders and seasoned professional candidates within the engineering organisation; proficient in using data to guide decisions and change
- Excellent command of data and analytics and proven success in data-driven organisations; proficient in using data to guide decisions and change
- Recognize how to recruit and keep the best brains from all walks of life while harnessing the potential of a diverse workforce.
- Ability to mix the position of strategic talent adviser with a sense of urgency while also managing and achieving outcomes in a fast-paced, expanding environment
- Proven track record of developing talent pipelines and sourcing
- Continuously developing talent pipelines and identifying suitable individuals is a plus.
- A thorough grasp of and application of recruitment metrics to guide decision-making is highly recommended.
- Ability to talk intelligently about the firm and respond to any technical inquiries posed by a prospective recruit
Star Points if you have
- Startup Experience
- Effective client contact abilities at all levels
- Interpersonal skills and the capacity to interact effectively in a professional setting
- Consistent with our beliefs and values
- Initiative/leadership experience in projects or events


iOS Developer with minimum 7 years of experience and he must expertise in iOS Swift, XMPP, Jabber, messaging and chat services, WebRTC, Ejabberd, Web Sockets and VOIP Calling
Master’s Degree/PG in computer science or B.E/ B. Tech in Computer/Electronics or equivalent with minimum 2 years industrial/academic experience in UI/UX development, computational biology, MD simulations, PHP, MySQL, Bash scripting, Server admin. Proficiency in programming languages, such as Java, HTML, or PHP, and CSS. Experience in exploring libraries and frameworks (for example Bootstrap and J Query) and using GitHub, a version control system. Extensive knowledge of advancements and trends in web design. Exceptional ability to contribute creativity and innovation to web projects. Superb leadership, collaboration and communication skills. Excellent organizational and time management skills.

Job description
Maitretech Solution Looking for an enthusiastic and motivated Full Stack Developer to join our team (React native/React .JS) you will work on developing and maintaining web applications using React.JS, and React Native. you’ll collaborate with our team of experienced developers and have to work dedicatedly on our projects.
Required Skills
- React Native minimum experience should be 1 Year.
- 1+ years of experience in Javascript.
- Minimum 1 year of experience in Typescript and ReactJs.
- React-native components Knowledge and Redux.
- Design Layout knowledge.
- Good communication and interpersonal skills.
- A team player with a higher level of dedication.
- Ability to learn quickly and work in a fast-paced environment.
- Familiarity with agile development methodologies.
What we offer:
- A dynamic and challenging work environment.
- A competitive salary package.
- Opportunities for professional growth and development.
- Access to the latest technologies and tools.
- A supportive and collaborative team.
" ONLY BHOPAL CANDIDATES APPLY "
Qualification - B.tech , M.tech ( Only Passouts Apply )
Salary - 15000-25000
Regards
Team Maitretech

Preferred Qualifications
- Bachelor's degree in Engineering with specialization in Computer science or related field
- 4-10 years of experience as a software engineer in a product development setting
- Deep experience in Python with demonstrated ability to build modern products
- Experience in designing APIs and integration patterns, implementing secure and sustainable products with a focus on quality and scalability
- Experience in FastAPI, Django, or equivalent
- Experience in data modeling and efficient usage of PostgreSQL, MySQL, MongoDB, or equivalent
- Experience with modern components like async python, pedantic, sqlalchemy, alembic, celery, google products API integration, etc. is a plus
- Understanding of CI/CD practices including code check-in policies, automated unit tests, automated code deployments, etc.
- Experience in other programming languages is a plus, especially Javascript and/or Typescript
- Experience building feature-rich and scalable web apps is a plus
- Ability to grasp new technologies and use them effectively to create industrial-strength software
where a person has done EPC (engineering, procurement construction) hiring.
Also, the person from an engineering, procurement, and construction background will work.
relevant Consultancy experience will work
Job role:
As a digital marketer, your primary objective will be to facilitate the sales team through lead generation. You’ll be responsible for conceiving, driving, and implementing initiatives to increase brand presence and improve product adoption.
Responsibilities:
- Manage Organic as well as paid channels
- Set targets and build strategies to help achieve them
- Create and test content, blogs, and ads for operational efficiency
- Create and optimize landing pages to increase signups
- Develop and implement campaigns to better lead quality and beat the competition
- Perform data analysis around web traffic and other key metrics
- Monitor KPIs, and set up mechanisms to measure multiple campaigns across many online channels
- Draw meaningful conclusions from campaign data and identify potential opportunities for improvement
- Communicate with team members on campaign developments, timelines, and results
Requirements:
- 4+ years of experience in Digital Marketing or a similar position preferred
- Experience in B2B, eCommerce and SaaS is preferred
- Relevant Bachelor's degree preferred
- Great design sense is a must for this position
- Proven experience building campaign strategies from scratch and executing them
- Basic knowledge of analytics tools and the ability to set up tracking/reporting mechanisms to capture key metrics
- Experience working with data
- Experience working with international markets is preferred
● Responsible for design, development, and implementation of Cloud solutions.
● Responsible for achieving automation & orchestration of tools(Puppet/Chef)
● Monitoring the product's security & health(Datadog/Newrelic)
● Managing and Maintaining databases(Mongo & Postgres)
● Automating Infrastructure using AWS services like CloudFormation
● Participating in Infrastructure Security Audits
● Migrating to Container technologies (Docker/Kubernetes)
● Should be able to work on serverless concepts (AWS Lambda)
● Should be able to work with AWS services like EC2, S3, Cloud-formation, EKS, IAM, RDS, ..etc
What you bring:
● Problem-solving skills that enable you to identify the best solutions.
● Team collaboration and flexibility at work.
● Strong verbal and written communication skills that will help in presenting complex ideas
in
● an accessible and engaging way.
● Ability to choose the best tools and technologies which best fits the business needs.
Aviso offers:
● Dynamic, diverse, inclusive startup environment driven by transparency and velocity
● Bright, open, sunny working environment and collaborative office space
● Convenient office locations in Redwood City, Hyderabad and Bangalore tech hubs
● Competitive salaries and company equity, and a focus on developing world class talent operations
● Comprehensive health insurance available (medical) for you and your family
● Unlimited leaves with manager approval and a 3 month paid sabbatical after 3 years of service
● CEO moonshots projects with cash awards every quarter
● Upskilling and learning support including via paid conferences, online courses, and certifications
● Every month Rupees 2,500 will be credited to Sudexo meal card





