VP - Engineering/Technical Product Head

• The incumbent should have hands on experience in data engineering and GCP data technologies.

• Should Work with client teams to design and implement modern, scalable data solutions using a range of new and emerging technologies from the Google Cloud Platform.

• Should Work with Agile and DevOps techniques and implementation approaches in the delivery.

• Showcase your GCP Data engineering experience when communicating with clients on their requirements, turning these into technical data solutions.

• Build and deliver Data solutions using GCP products and offerings.
• Have hands on Experience on Python 
Experience on SQL or MySQL. Experience on Looker is an added advantage.

Location - Mumbai
Experience - 3 to 5 years
Position : Community Manager - Brand Marketing

A community manager is the core of building and nurturing like minded individuals who
resonate with the brand philosophy.

1. Constantly identify influencers (sports, fitness, wellness, health) who are relevant for
the brand and onboard them as a brand ambassador.
2. Work closely with them to understand their needs and marry them to the brand
requirements to create relevant campaigns (for different channels like digital, events
etc)
3. Maintain strong relationships with the community and ensure that there are timely
meetings and seminars done with them (learning, sharing feedback, etc)
4. Ideate and innovate to create new approaches and campaigns with the community
5. Partner with relevant events and seminars to build brand awareness amongst various
communities.
6. Identify and execute relevant sponsorship and partnership opportunities.
7. Introduce the brand to relevant groups across digital and offline channels and explore
collaborations with them on an ongoing basis.
8. Work closely with the marketing team to promote the community to owned and
earned channels like social media, PR, website etc.
Requirements
1. Should have worked with sports people, athletes etc (both grassroot and national)
2. Experience in end to end planning and execution of community management and
engagement.
3. Ideal candidate would have 4+ years experience in influencer marketing (sports,
athletes specialists would be a bonus)
4. Understanding of digital media and its usage for building communities.
5. Handling offline and online events and seminars
6. Self starter, motivated and ability to single-handedly manage projects.
7. Should be passionate about sports of some form, and should be into health & fitness
(runners, football players etc)

Job Description

 

We are looking for a Mobile and Javascript developer who is proficient with React Native, React.js, and Typescript with 2 years of experience. The primary focus will be on developing UI components with React Native and React JS workflows with Typescript. This will include the use of automated integration tests with RTL. These components are expected to be robust and easy to maintain with the highest code quality. The coordination with the rest of the team working on different layers of the infrastructure should be effective. 

 

Responsibilities

• • Delivering a complete mobile application OR front-end application using React Native/React JS and Typescript.
• • Building reusable components/widgets and front-end libraries for future use.
• • Translating designs and wireframes into high-quality code.
• • Writing tested, idiomatic, and documented code.
• • Optimizing components for maximum performance across multiple web browsers.
• • Mentoring junior developers, peer-to-peer code reviews, and ensuring that high.
• • Code quality bar should be maintained. Skills
• • Excellent proficiency in React Native, JavaScript, CSS, and HTML, including DOM manipulation and the JavaScript object model.
• • Thorough understanding of React Native, React JS, Typescript, and its core principles.
• • Experience with popular React Native andReact.js workflows (such as React-Redux, React-Router, React Hooks, etc.)
• • Experience with Class components and Functional components.
• • Experience with React Testing Library (RTL). Familiarity with Enzyme, Jest Framework and Cypress.
• • Experience with data structure libraries (e.g. Immutable.js)
• Experience with Backend technology like NodeJS, AWS
• • Familiarity with the front-end development tools such as Babel, Webpack, NPM, etc.
• • Experience with code versioning tools Git and its workflows.
• • Ability to solve problems effectively.
• • Ability to learn and explore new things effectively.
• • Familiarity with RESTful APIs.
• • Ability to understand business requirements and translate them into technical requirements.
• • Professional, precise communication skills.
• • Clear understanding of design patterns especially MV*.
• Experience with AWS is a big plus

 

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.

Content Writer
Our company is in need of a talented Content Writer to create compelling blog posts, white papers, product descriptions, social media content and web copy. We’re looking for someone who will help us expand our digital footprint and drive more value through online co ntent. The ideal candidate should have a proven track record of producing pieces that increase engagement and drive leads. This position requires a high level of creativity, as well as the ability to use data-driven insights to write better material. The successful candidate should also be detail-oriented and committed to meeting tight deadlines. Preference will be given to those with a strong writing portfolio, bachelor’s degree and relevant work experience.
The responsibilities and duties section is the most important part of the job description. Here you should outline the functions this position will perform on a regular basis, how the job functions within the organization and the title of the manager the person will report to.
● Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
● Regularly produce various content types, including email, social media posts, blogs and white papers
● Actively manage and promote our blog, and pitch articles to relevant third-party platforms
● Edit content produced by other members of the team
● Analyze content marketing metrics and makes changes as needed
● Collaborate with other departments to create innovative content ideas

REQUIREMENTS: 1. Experience in video / multimedia software development 2. Deep understanding of video streaming formats 3. Expertise in media playback components and various DRM implementations 4. RTP / RTSP / RTCP networking protocols 5. Understanding of transport formats such as HLS, RTMP, Smooth Streaming and HDS. 6. Bachelor’s degree (or other equivalent degree) QUALIFICATIONS: 1. Total 8+ years of software development experience and design patterns. 2. Deep understanding of video streaming formats 3. Expertise in media playback components and various DRM implementations 4. Proficient in Java and C++ 5. RTP / RTSP / RTCP networking protocols 6. Proficient with iOS / Objective-C 7. Multi-threading and synchronization 8. Experience with iOS platform (UI, Core Data, threading, xmpp, animation, Strong oops knowledge, xml, etc.) building apps that have been successfully delivered to customers. 9. Demonstrated ability to develop logic code 10. Ability to work with versioning tools (GIT, SVN, JIRA, etc.). 11. Excellent organizational and problem solving skills. 12. Strong verbal and written English communication skills. 13. Ability to multitask in a fast, dynamic environment and maintain a professional and positive attitude with team members. BENEFITS: 1. We are willing to buyout your existing contract with your current employer to expedite your integration with us. 2. Great compensation. We are willing to offer a meaningful salary increase and/or signing bonus compared to your current employer for your joining the JS TechAlliance team 3. We are willing to offer you a letter of recommendation at commencement of your career at JS TechAlliance 4. Work with the best video technology team on the planet