City Head - Business Development Leader

A B.Tech/M.Tech in Computer Sc, a SDE should have 1-3 years of experience in SW solution development. We are specifically looking for a SDE who:

 

• is highly proficient in Java Coreand Spring boot applications including making high quality, highly performing code under JVM environment. 
• has good working knowledge in design of n-Tier databases (Postgres, NoSQL DBs e.g. Cassandra/MongoDB)
• has worked in agile development environment under open source gitlab including testing, change management
• is highly proficient in OOD, extensibility, usability, understand data pre-processing
• has exposure to full life cycle of product implementation and deployment of enterprise products driving a subsystem including development under gitlab or github.
• [Desirable] Ability to optimize an ML solution for accuracy and scale
• [Desirable] has experience in working with Advanced Java

6+ years' of experience in designing for brands, digital products and services
• Formal design training with an incredible eye for detail and obsessive appreciation for
typography, design and layout
• Demonstrated mastery of the Adobe Creative Suite
• Excellent organisational, collaboration, and communication skills
Lead the overall design vision that enhances our business goals across the company.
• Develop your own toolbox of processes and techniques to identify problems and generate
creative solutions.
• Mentor and coach team members and challenge them to perform at their best.

We know what it feels like to build an iOS app, you must be proud of yourself if you're one.

Telyport is looking out for you

Here are the requirements:

• You've worked on building iOS apps from scratch
• You've got the skills of actively maintaining it and testing it
• Your apps are production-ready and are actively used
• Your apps are bug-free
• You've never given a reason saying it is Apple who did it

If you feel you're the one, put your favorite operating system in the note and apply it.

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.

Job Responsibilities:

 

Experience: 8 Yrs to 12 Yrs

 

1. Hands-on expertise on performing Application pen testing (Mobile(Android, IOS),networking, web application pen testing),
2. Should worked on IOT,AWS,Application Penetration Testing, Reverse Engineering, source code review, CI/CD Pipeline
3. have done any submission on Bug crowd or Bug Bounty.
4. have developed tools or scripts for web pen test on GitHub.
5. Certified on OSCP
6. Threat Modeling
7. Network scan in stealth mode or simple scan using Nmap and Burp suite

 

Implement security measures which monitor and protect sensitive data and systems from infiltration and cyber-attacks.

 

Developing different ways to solve the existing threats and security issues.

 

Configuring and implementing intrusion detection systems and firewalls.

 

Security product development, testing, and implementation.

 

Responsible for security technology research, penetration testing, and vulnerability scanning.

 

Please follow the below inputs.

 

The shift will starts from 03:00 PM to 12 AM (fixed for few months),

 

 

OSCP certification(Not mandatory, preferable)

 

Below are the primary key skills:

 

Total Application Security Experience:

Total Security Architecture Experience:

IOT(optional)

MOBILE

WEB

AWS(Mandatory)

NETWORKING

THREAT MODELS

 

 

• Reads typescript or proof page to detect and mark for correction any grammatical, typographical, or compositional errors
• Check page numbers and headings are correct, Spelling and other aspects, such as the use of capital letters, are consistent, Chapter headings match the contents table, Photos and illustrations are correctly captioned
• Check spelling and grammar.
• Reads proof against copy, marking by standardized code, errors that appear in proof.
• Raise appropriate compositor queries.
• Returns marked proof for correction and later checks corrected proof against copy.
• May measure dimensions, spacing, and positioning of page elements to verify conformance to specifications, using printer's ruler.
• Ensures that pages are whole and logically arranged
• He/she should be able to carry out the work mentioned in an independent manner.
• He/she should be able to quality-check the work of his/her team members.
• He/she should plan and monitor the flow of work (based on priorities)
• He/she should be able to provide classroom/on-the-job training to his/her team members and help them overcome their weaknesses.
• He/she should be responsible for his/her team producing an error-free output.
• He/she should check the mail correspondence regarding workflow regularly

 

EXPERIENCE PROFILE

• Able to perform edit/proofread independently and make the work done by the team members delivery ready
• Postgraduate in any field of science; good command over the English language; an eye for detail; exposure to various style guides; readiness to meet daily/monthly productivity targets; and maintaining the expected quality norms

 

Desirable

• Good communication skills; team player; problem-solving skills; proactive and innovative

Identifies business opportunities by identifying prospects • Sells products by establishing contact and developing relationships with prospects; recommending solutions • Outbound calling on data collected through lead generation activities / secondary data sources • Daily follow-ups on older leads and work on new leads • Maintains quality service by establishing and enforcing organization standards • Must be energetic, well-spoken, eager to close sales deals and generate revenue for the organization.

Must have skills :

 

JAVA 8, Apache Camel, Design Patterns, Web Services (REST), RabbitMQ, Build Tool (Maven or Gradle), Version Control (SVN or Git), SQL/PLSQL, Javascript, HTML, CSS, JQuery, Application Server (Websphere/JBoss/Weblogic etc.), JUnit.

 

Preferred skills :

 

- Spring, Spring MVC, Spring Boot, Hibernate/Spring Data JPA, .

 

- Experience working on Node JS/Angular JS/React JS

 

- Working experience on Docker

 

- Experience working on Agile methodologies

 B.E/B.Tech/M.C.A/M.Sc(Computer science ) with first division.

 

- AWS Cloud exposure.

 

- Basic skills in using the Unix operating system logging on, sudo to another ID, navigating directory structures, debugging simple problems.

 

- Hands-on experience with building enterprise applications.

 

- Excellent trouble-shooting skills.

 

- Thoroughly understanding business problems and the business domain, and how potential solutions may address problems and enhance business capabilities.

 

- Experience in designing/development (design patterns) and testing of enterprise class systems.

 

- Good written and verbal communication skills.

 

- Ability to adapt to changing requirements.

 

- Ability to take direction and work with minimal supervision.

 

- Ability to work in deadline driven environment, and respond creatively to pressure.

 

- Ability to work on multiple projects simultaneously.

 

 

• Overall Experience 2 years plus in PHP and at least 1 – 2 years Experience in Magento • Experience with Ajax and J-Query is added advantage • Should be comfortable working on Postgresql/Mysql database • Should be comfortable working on Linux (Ubuntu) platform • Worked with version control Git • Must be comfortable with Magento Customization. • Must be comfortable with creating & modifying existing Magento Extensions. • Experience with Magento API would be great. • Experience with Magento Enterprise & Community Edition would be great. • Comfortable Working with Team Environment. • Must have Experience working on Large Magento Projects. • Magento Certification would be a plus. • Strong object oriented programming and design skills • Excellent problem solving, critical thinking, and communication skills. • Good attitude, and team player • Understanding of XML, JSON, HTTP, SOAP, Web Service