Tellecaller

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.

Seeking a senior, dynamic, highly motivated full stack developer interested in working for a very early stage bootstrap startup. We have a Beta/MVP live, but need to get bug free and fast ASAP. The position has pay commensurate with local salaries in low-cost countries but will earn equity equivalent to their salary which could be worth up to more than that when the company is successful. I can show you our assumptions and estimates once you sign an NDA).

About Us
We are a company dedicated to helping people find the food they love, no matter what food interests or dietary preferences they may have. You’ll be joining in the very early stages of the company, and have the chance to influence the direction of the company with your ideas and contributions.

 

Our Tech Stack (Front End):

• JQuery
• Bootstrap
• EJS templates
• HTML/CSS All new modules
• js with a team-maintained and crowd-sourced component library Middleware/Back end.
• Express
• js
• MongoDB
• MySQL
• API layer
• Elastic Search

 

Desired attributes:

• Enjoys iterative/agile development – We will iterate based on internal and customer feedback until we make an awesome product! We also have a very deep and compelling product roadmap we make consistent progress against.
• Works well collaboratively with other developers, contributing to the codebase, performing code reviews, and mentoring a team of junior developers. We have a lot of junior developers learning to code that need mentorship/leadership.
• A passion for food would be great, our business is to help pair people up with amazingly good food.
• Results-oriented

Responsibilities:

• Ability to build on and maintain a fully functional responsive web application
• Experience building API-driven applications

Qualifications:

• CS Degree is great but development skills are more important than degrees
• Ability to build and maintain a fully responsive website
• Prefer proficiency in our tech stack, but willing to teach people who are highly motivated and can spend significant time on the project for equity.
• GitHub or similar source code management system experience
• Nice to have: Experience developing customer-facing web applications

At least 5 years as a developer, at least 2 with each technology in our tech stack (except Elastic Search, if you know that or at least want to learn it - I have people who can teach you - it’s a bonus!)

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 and skills
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
Degree in Computer Science, Statistics or relevant field

Good experience in Mobile based application.
Hands on experience in React Native.
Hands on coding skills in JavaScript for mobile
Well versed with continuous integration & delivery tools like Jenkins & SonarQube
Well versed in Agile methodology and team coordination in onsite - offshore model
E- commerce experience is desired.
React Native experience is highly desired Other Skills:
Should have experience in working in Dual Shore model excellent coordination skills

Position : Full Stack · 5+ years hands-on experience in software development · Experience building solutions for high traffic websites · Experience in developing e-commerce domain would advantage. · Experience in any of the following technologies o Java,Spring,Python,Angular.JS, React.JS, HTML 5 · Experience with Databases such as MySQL, Redis, NO SQL · Experience in building RESTful web services · Familiar with operating and maintaining cloud / physical infrastructure · Familiar with general DevOps techniques · Familiar with various OSS and be able to adopt it to the system · Experience of practical usage of Big Data technologies (HDFS, Hive, Spark) would be advantage Key Skill : Java with Reactjs/ Angular2, 4 (If both not then Angularjs) If interested, kindly let me know the following details below: Total Experience: Current CTC: Expected CTC: Notice Period: Reason for job change: Offer if any:

ViralMint is a VC backed Social Commerce company based in Pune. We ventured out into the Digital Marketing domain in 2013 with a suite of products focussed to facilitate smooth engagement between the brand and its customers through digital assets. After experiencing phenomenal success with the engagement suite, we decided to go after the grass root level issues looming the digital marketing domain. Our current team of performance marketing gurus work in collaboration to ensure highest possible ROI is delivered over all paid marketing channels. Complementing the effort, our suite of products ensures businesses have improved conversion rates, increased sales and have a viral social reach. We believe in solving real life issues and help businesses understand the true potential of digital marketing and harness it to achieve hyper growth. We have been working with 1000+ customers including the likes of Shoppers Stop, Shopclues, Snapdeal and One Stop to name a few and have been able to demonstrate a clear return-on- investment with increased revenues, improved conversion, growth in social presence and significant increase in word-of-mouth virality.

* Minimum 4 years experience * Solid experience in developing medium or large size applications especially e-commerce. Knowledge of audio/video streaming an advantage. * Good knowledge of OOP, Java and databases * Must be good in conceptualising UI and UI design * Should be able to integrate third party libraries * Should be up to date with the latest Android SDKs * Should be able to research and write project papers if needed * Should be able to implement test cases, evaluate, report, track, and verify bugs * Masters in CS or equivalent with a solid foundation in algorithms, data structures and optimized software design * Must be a clear thinker with good written English, and communication skills, good research and organizational skills as well as the ability to pay attention to detail * Must be energetic, show initiative, be willing to learn, work hard and be passionate about work, be able to multitask and work under pressure and across time zones and multiple projects, work in teams, and have a positive attitude