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Assisting the CEO with creating sheets, research on competitors, research on users, Community management, maintaing calendar and maintaining a todo list.

Company Profile
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 us :
Humancloud Technologies is a leading digital technology and innovation partner
transforming businesses across the globe through its services and solutions.
We believe in helping our businesses stay ahead of the curve by enabling them to
leverage the new-age technology services of Blockchain, IoT, Cloud and Experience
Design. We, at Humancloud, have nurtured ideas from validation to production
and shaped them into scalable businesses.
An experienced IIT Delhi alumni leadership coupled with a team of talented and
supportive peers look forward to your onboarding.

Job Description: Java Developer
We are looking for an experienced Java Developer who will work closely with the
technical lead to identify and establish best practices in the company.
Requirements & Responsibilities :
● Design and develop features using Core Java, Spring Boot, and Hibernate
● Ability to design database schema, develop views and stored procedures
● Participate in user story grooming, design discussions and proposal of solutions
● Maintain existing software systems by identifying and correcting software defects
● Practice standard development processes leveraging agile methodologies such as
SCRUM and TDD
● Review and analyze business requirements and provide technical feasibility and
estimates
● Manage development/support functions etc
● Excellent in OOPS concepts, system design
● Strong knowledge of Core Java, Spring, Hibernate and Microservices
● Hands-on experience in DB design, SQL, UI Technologies like HTML/CSS,
JavaScript, jQuery, etc.
● Good knowledge of design patterns
● Excellent knowledge of JSP, Servlets, WebServices, JUnit
● Experience in Agile software development
● Familiarity with JIRA, GIT, Maven
● Experience in working directly with a client
● Good knowledge in requirement gathering, analysis, and designing
Desired Qualification and Experience :
● Minimum undergraduate in Computer Science, MCA or Statistics from a Tier 1/Tier
2 academic institution
● Minimum 3 years of professional experience as a Java developer
● Excellent written, verbal communication, and client-facing skills

● Exceptional analytical and problem-solving skills
● The ability to quickly grasp new concepts and learn new technologies
● The traits of a self-motivated, independent, detail-oriented, and responsible team
player.
Why Join Us:
Are you inquisitive? Are you someone who believes in facing the odds with the
determination to drive ideas forward? Then, Humancloud Technologies is the place
for you.
At Humancloud Technologies, we are committed to fostering a culture of innovation,
integrity, passion, courage and empathy. We believe in human potential and the
numerous ways it can serve humanity through adopting technology. If you share a
similar belief, then we welcome you to join us.
For Further Information:
Visit our website: www.humancloud.co.in
Follow us on social media: LinkedIn

Below is the Job Description for the position of DevOps Azure Engineer in Xceedance co.

 

Qualifications BE/ B.Tech/ MCA in computer science

Key Requirement for the Position Develop Azure application design and connectivity patterns, Azure networking topologies, and Azure storage facilities.
• Run code conformance tools as part of releases.
• Design Azure app service web app by using Azure CLI, PowerShell, and other tools.
• Implement containerized solution using Docker and Azure Kubernetes Service
• Automating the build and deployment process through Azure DevOps approach and tools from development to production
• Design and implement CI/CD pipelines
• Script and update build and deployments.
• Coordinate environment usage and alignment.
• Develop, maintain, and optimize automated deployments code for development, test, staging and production environments.
• Configure the application and container platform with proactive monitoring tools and trigger alerts through communication channels
• Develop infrastructure and platform code
• Effectively contribute to building the overall knowledge and expertise of the technical team
• Provide Level 2/3 technical support
Location Noida or Gurgaon

 

Searce is a modern tech consulting firm that empowers clients to futurify their businesses, leveraging Cloud, AI & Analytics.

• Natural creativity:

The best designers are creative visionaries, people who are capable of stepping back, seeing the big picture, and coming up with new ways of approaching challenges and making positive changes to how the company is managed and marketed.

• Not a CAVEr: 

You are a person that people like to be around. You are not a CAVE (Constantly Against Virtually Everything) personality.

• Say no to HiPPO: 

At Searce, we want people who value everyone’s opinions & perspectives. We don’t want them to get overpowered by HiPPO (Highest Paid Person’s Opinion)

1. Have a point of view and can distinguish between "good" and "great" work.
2. Strong hands-on skills which should range from designing using Photoshop to coding UI mockups. 
3. Hands-on knowledge of front-end technologies: Html 5, CSS, JavaScript.
4. Hands-on knowledge on Photoshop / Illustrator / Dreamweaver / Fireworks / Flash. 
5. A design portfolio demonstrating the breadth and proven experience in product and services marketing communication, workflow and interaction design, visual design work, and a thorough understanding of a good design process is required.
6. Have the ability to work on digital marketing strategies, define workflows, write concepts and content to generate interest in Searce’s products, brands, and services.
7. Have the ability to think strategically, act tactically, and solve problems quickly.
8. Successfully overcome engineering challenges and understand the need for testing and iteration of new user experiences.
9. Have a track record in creating highly functional, user-focused, complete, and desirable experiences and designs.
10. Be able to lead teams through the design process and partner effectively within cross-functional teams.
11. Be innovative, enthusiastic, flexible, and creative.
12. Demonstrate excellent project management and scheduling skills.

 

Is Education overrated? Yes. We believe so. But there is no way to locate you otherwise. So we might look for at least a Bachelor’s degree in Design (B.Des.).

1. A lead of visual design who envisions and creates the next generation of user interfaces for customer service.
2. A design pioneer, who will invent user interfaces that combine speech, touch, and other modalities to drive intuitive interactions on smartphones, tablets, and other connected consumer devices.
3. The ability to combine strategy with design thinking to deliver an experience like our audience never had before.
4. Bring passion and dedication to his/her job and become a storyteller through exceptional and engaging designs.