State Head - (Business Development)

Requirements:
● You can rock with your expertise in fundamental front end languages such as HTML, CSS and JavaScript.
● You can make value additions aided by your familiarity with advanced JavaScript libraries and frameworks such as React.
● You have top notch ability of server side languages such as NodeJS, Web Services, Micro service.
● Database technology such as MySQL also falls in your comfort zone.
● You can enhance our world with your Cloud Experience preferably AWS [EC2, RDS, S3, Lambda] or OCI
● You take pride in your knowledge of code versioning tools such as Git
● Third party integration like payment gateway and any Plugins
● Familiar with third party libraries like D3 Chart, Video and Audio player.
● Development experience with webcam based recording or streaming
● WebRTC protocol with any Media Server
● React with Next.JS framework
● JWT, OAuth, JSON web token, Node mailer
● Experience with WebRTC, RTSP and other streaming applications
● Good at cron Jobs development and configuration
Responsibilities:
● You’ll develop high quality front end architecture.
● You’ll build solid back-end web services/micro services
● You’ll design and develop APIs and API documentation
● You’ll help the team in designing and normalizing databases
● You’ll ensure cross-platform optimization for web and mobile phones.
● You’ll proactively ensure responsiveness of applications

Your Impact:

•                 Interact clearly with clients and the on-shore and off-shore project teams

•                 Regular involvement in thought leadership Best Practices development

•                 Facilitate end to end project design & development while working closely with global client

 

Your Skills & Experience:

•                 4 to 14 years of development experience in SFDC

•                 Excellent hands-on experience in Salesforce application development including VF, Apex Triggers, Asynchronous Apex

•                 Deep knowledge of Lightning framework

•                 Expertise in Business Requirement gathering, Analysis & conceptualizing high-level architectural framework & design

•                 Experience working with Sales or Service cloud, Community Cloud, Marketing Cloud

•                 Conceptualize end to end integration projects & knowledge of authentication mechanism

•                 Experience in REST & SOAP APIs, knowledge of Governor limits involved during Integration

•                 Working knowledge on continuous integration, working with repositories (e.g. Git)

•                 Should have experience to design the data flow and work with any ETL or dataloader

•                 Excellent experience in designing and architecting large scale applications

•                 Thorough understanding of Solution architecting & Estimation process

•                 Excellent consulting skills, oral and written communication, presentation, and analytical skills 

 

Set Yourself Apart With:

•                 Salesforce Certifications

•                 Knowledge of Heroku, Angular.js and Salesforce Einstein, Salesforce CPQ, CloudCraze B2B

•                 Incident and problem management skills

•                 Ability to provide necessary coaching to bring juniors up to speed on the technology

•                 Exceptional written skill for solution documentation creation for both technical and non-technical material

•                 Background in force.com platform and deployment experience in an outsourced service environment

•                 Articulation skills & Good team player

•                 Self-starter and self-learner with keen interest to grow

•                 Process orientation and the ability to define and setup processes

•                 Mentoring team members

 

Benefits of Working:

•                 Gender Neutral Policy

•                 18 paid holidays throughout the year for NCR/BLR (22 For Mumbai)

•                 Generous parental leave and new parent transition program

•                 Flexible work arrangements

•                 Employee Assistance Programs to help you in wellness and well being  

Core Responsibilities

• Apply appropriate analysis and optimization techniques to scale media campaigns on Facebook.
• Run both regular as well as retargeting campaigns on Facebook.
• Use data from Facebook as well as our internal data tools to expand, evolve, and optimize paid social media campaigns.
• Run multivariate tests in order to determine highest performing creatives.
• Staying current with best practices, strategies, and industry standards related to social media marketing.
• Stay on top of Facebook Ad Policies
• Optimising various campaigns.
• Managing and setting KPI’s for affiliates
• Reducing CPA and CPD through all acquisition sources.

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.

Roles and Responsibilities:

• Understand product requirements and be able to quickly turn around a functional prototype for internal review and further refinement.
• We are currently using MERN & Flutter technology for our product. You should be acquainted to this tech stack or should be able to grasp immediately.
• Develop API based architecture in order to ensure the business growth and integrational capabilities of product.
• Designing and developing REST APIs using MongoDB with its Security compositions
• Develop the Mobile UI / Back-end features using Flutter / Dart programming language.
• Creating and configuring EC2 instances and securing a connection with MongoDB Cloud database
• Should be adapt to version control systems like GIT / GITHUB

• Develop test plans alongside product designers and product engineers.
• Drive improvements to test framework architecture and test coverage.
• Drive adoption of best practices in code health, testing, testability, and maintainability (clean code, test pyramid).
• Track test gaps, quality, and productivity metrics. Work with other engineering teams to improve gaps from this data.
• Recommend improvements into overall best practices, design, testability and quality, and productivity.

 

Requirements

• 8+ years' experience of working in the Quality Engineering field
• 3+ Years of experience with UI & API test automation tools, (Selenium and etc.)
• 4+ years of experience in leading a team
• Proficient in TypeScript, Go, or a related programming language
• Experience with Continuous Integration systems (e.g., GitLab)
• Experience with AWS, Docker, and Kubernetes

 

About You

• A+ character. We are team-first here at the company.
• A hard-working mentality. It’s early and there is still a lot to build.
• An excellent communicator.
• A fun attitude. Life’s too short. We can have fun while we work hard on cool things.
• Smarts. We need people that are smart enough to make decisions on their own and also smart enough to know when they need input from others.

 

Perks & Benefits

• Competitive salary and benefits
• Group Medical insurance
• Life and long-term disability insurance
• Collaborative workspace
• The opportunity to join the fastest growing start-up alongside a team of motivated and driven individuals

· Designer/Architect with 5-10 years of experience in Web UI & middleware REST API development · Well proven experience in JavaScript frameworks like NodeJS, JQuery, ReactJS · Knowledge on Node.js and frameworks such as Express JS , require JS etc. · Thorough understanding of React.js and its core principles · Familiar with newer specifications of EcmaScript and modern authentication mechanisms like JSON web tokens · Must have strong experience in Relational databases like MYSQL etc. and NoSQL databases like MongoDB, Cassandra etc. · Experience in cloud technologies like GCP, Azure is must · Should be able to work independently as well as lead the teams. · Knowledge on chatbot frameworks such as Microsoft Bot Framework · Experience in HTML5, CSS3, SASS, LESS is an added advantage

Looking for an active End to End recruiter, client interaction candidates