Social media intern

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.

• Experience in developing and validating diagnostics (UDS Protocol)
• Excellent knowledge of UDS Protocol (ISO 14229)
• Expertise in VBA / C# or Python Scripting
• Experience with Vector Toolchain - Candela Studio, CANoe + DIVA, CANape
• Experience in handling various Automotive diagnostic – Flashing, parameter changes, etc.
• Preferred experience in Matlab / Simulink
• Preferred experience ECU SW Development and architecture
• Fair communication interpersonal skills.
• Interpersonal skills.
• Good to have ISTQB certification

 

 

We are hiring!! Looking for an Android Developer who possesses a passion for pushing mobile technologies to the limits!! This Android app developer will work with our core team of talented engineers to design and build the next generation of our mobile applications. Android programming works closely with other app development and technical teams include Designing and developing advanced applications for the Android platform Unit-testing code for robustness, including edge cases, usability, and general reliability Bug fixing and improving application performance About Company Pixlcoders is a Technology Solutions Provider for many mid-sized and big companies, including global companies. We build websites, apps, software which are efficient & sustainable, built on the latest technologies to ensure that our products stay relevant in the fast-paced world of technology. Check out some of our products here: https://www.trebound.com/ | http://www.trainerville.com/ | https://tryilo.ie/ | Roles & Responsibilities Design and build advanced applications for the Android platform Collaborate with cross-functional teams to define, design, and ship new features Work with outside data sources and APIs Unit-test code for robustness, including edge cases, usability, and general reliability Work on bug fixing and improving application performance Continuously discover, evaluate, and implement new technologies to maximize development efficiency Apply if you are/have BS/MS degree in Computer Science, Engineering or a related subject Proven software development experience and Android skills development Proven working experience in Android app development and Published at least one original Android app Experience with Android SDK Experience working with remote data via REST and JSON Experience with third-party libraries and APIs Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies Solid understanding of the full mobile development lifecycle.

We are looking for MEAN Stack Developers with strong Angular and/or NodeJS development skills. Your primary focus will be to implement a complete user interface in the form of a mobile and desktop web application, with a focus on performance. Your main duties will include creating modules and components and coupling them together into a functional app. The artistic design will be delivered to you, in form of JPEG/PNG/SVG, and you would be required to generate CSS and HTML which should be responsive & adaptive in nature. You will work in a team with the back-end developer, and communicate with the API using standard methods. A thorough understanding of all of the components of our platform and infrastructure is required.

What you get to do in this role:

Delivering a complete front end application

Creating custom, general use modules and components which extend the elements and modules of core Angular

Ensuring high performance on mobile and desktop

Writing tested, idiomatic, and documented JavaScript, HTML and CSS

Cooperating with the back-end developer in the process of building the RESTful API

Communicating with external web services

Validating user actions on the client side and providing responsive feedback

To be successful in this role, we need someone who has this:

Graduate in computer science, B Tech, with a keen interest in technology and engineering

Looking for experience range of 4-12 years for positions, Developer I, Developer II and Developer III.

Deep knowledge of Angular practices and commonly used modules based on extensive work experience

Proficiency in NodeJS would be highly desirable

Proficiency with JavaScript and HTML5.

Creating self-contained, reusable, and testable modules and components

Ensuring a clear dependency chain, in regard to the app logic as well as the file system

Professional, precise communication skills

Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed

RESPONSIBILITIES: • Work closely with other development and testing teams in an agile environment • Work closely with Product Managers and Designers in scoping, defining, and sizing user stories • Ensure smooth product releases and support • Work closely with senior developers to design and architect robust front-end solutions • Write clean, documented, and performant code • Continuous learning EXPERIENCE: • 4+ years of working experience in UI/UX software development is required • In-depth knowledge and experience in ReactJS, TypeScript, CSS, JavaScript, conceptually and practically • Understanding of Object Oriented Programming and Prototypical Inheritance. • Experience working in agile software development environment • Experience and knowledge of Git • Experience in jQuery, charting libraries, building reusable UI components and/or jQuery plugins • Experience with .NET Core a big plus • Experience in consuming REST APIs • Experience in multi-tenant web based application is a big plus

Job Description:

We are looking for Quality Analysts responsible for ensuring the quality of our products. Your primary responsibility will be to understand the product scope, prepare test cases, and execute test cases and to coordinate with the rest of the team working on different layers of the infrastructure. Thus, a commitment to collaborative problem solving, sophisticated user experience and product quality is essential.

 Skills Required:

• Should possess excellent knowledge about software testing
• If candidate has done any testing certification or any relevant experience, will be preferred
• Analyzing the requirements from clients
• Should have very good written and verbal communication skills
• Arranging Test Environment to execute the test cases
• Hands on experience to write test plans and test cases.
• Defect Tracking
• Should have keen eye for detail and can create clear, concise detail-oriented test plans/cases

If you are looking forward for this opportunity, kindly apply with us with below asked details:

Total Experience:

CTC:

ECTC:

NP:

Current Location:

Hometown: