MicroStrategy Developer

Dapps is a decentralized app store that makes it easy to adopt and find Web 3 applications. Dapps use protocol-level technology as their foundation to create a decentralized, open-source app store.

To us, a company’s culture is the team’s everyday actions and beliefs. We aspire to create a team of individuals who hold common values but are diverse in their worldviews.

• Work with multi-disciplinary teams: design, art, production, engineering, etc. from product conception and throughout production to shape and thoroughly document the product strategy, including feature sets, merchandising, purchasing drivers, pricing, tools, and other success factors.
• Measure the success of product features after release and optimize their performance through split testing and rapid, data-informed iteration.
• Ideally, you have previous technical experience with Decentralized products. You are driven by shipping financial services built on crypto assets and public blockchain infrastructure.
• Highly organized with the ability to manage projects and consistently meet deadlines.
• Ability to resolve business as well as technical issues and served as a liaison between business groups and technical developers.
• Flexibility to adapt to a changing environment, keeping current with new and updated processes and procedures

• 3+ years of relevant experience
• Conversant in the fundamentals of DeFi/Web3/Blockchain/Crypto
• Strong analytical skills and ability to strategize across multiple product areas and potential business opportunities
• Love for unicorns :)
•  

• We make sure you are growing professionally with quarterly goals and appraisals
• Health is wealth, so we provide health insurance
• Stand on Top - Employee professional development program
• Welcoming a new member of the family is a great please so we provide maternity and paternity leave

And much more...

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.

A South DELHI based NGO, Wishes and Blessings urgently requires an experienced FULL TIME Social Media Manager( strategy/ content/growth ) (based in Delhi)

KRA
1)Developing and Implementing social media strategy

2) Handling all media handles ( Twitter/ Facebook/ instagram/LinkedIn/YouTube)

3)Writing content for social media (captions/ hashtags)

3) Influencer marketing

4) Collaborations and contests

We are seeking a high performing and motivated individual to join our team in Delhi. The requirements are as follows:

* Bachelor’s degree.

* 2+ years of experience in working as a Social media manager (Working in a non-profit setup preferable

* Excellent command over written and spoken English.

* Ability to make reels/ stories

* Ability to work alone and stay motivated as well as work well in a team set-up.

* Excellent management skills.

Salary 30,000-35000 per month depending upon experience and knowledge

Pls note Agencies are NOT eligible to apply.

Job Type: Full-time DELHI BASED

Job Type: Full-time

We are looking for a Software Test Engineer . This individual will be involved in manual testing of Web & Mobile applications, SOAP web services and Rest APIs.

Role Description

• Individual will be responsible to developing manual test scripts.
• Analyze and prepare positive and negative test scenarios.
• Responsible to executing automated and manual test cases.
• Responsible to tracking and logging defects during execution.
• Generating reports such as defect analysis report, project status report, etc.
• Actively participate in requirement analysis, test design and sprint planning.
• Identify opportunities for continuous improvement.
• Provide proactive advice and feedback throughout the software testing lifecycle for prevention and early correction of quality problem.
• Document lessons learned, help maintain knowledge database.

Desired Profile

• Good Knowledge in JIRA, web service testing & Confluence.
• Good Knowledge API testing using SOAP-UI & POSTMAN.
• Good Knowledge of Mobile Testing (Android & IOS platform)
• Basic knowledge of SQL queries
• Have good understanding of Software testing lifecycle.
• Should have Knowledge in various test development and design methodologies.
• Good working knowledge on agile methodology (Scrum& KANBAN) and process.
• Knowledge on Automation using UFT/Selenium.
• Sound interpersonal and team working skills
• Demonstrate relationship building and teamwork skills within all levels of the organization in a collaborative effort
• Must be adaptable in a changing environment and be effective in many different business settings
• Should be able to understand customer / end users’ requirements and should own the issue till closure.
• Work Experience: 2-5 years in Software Testing (Preferred candidate from Digital Health Domain)
• Education Qualification: B.Tech (CS/IT), MCA , M.Sc (CS/IT), MCS, BCA, B. Sc (CS)

 

We are on a mission to improve holistic wellbeing using age-old trusted Eastern protocols like astrology, yoga, Ayurveda, meditation, etc. Our goal is to build a life companion app that offers a virtual Disneyworld for wellness.
Starting out, we are building a platform to consult with our ‘Astro-advisors’ and engage in
wellness-focused activity-led content, called activity packs offered post consult. The packs will contain a wide range of activities like meditation, yoga, chants, affirmations, gratitude journaling, and other astrology related remedies. Over time we will expand to other advisors as well. A differentiated and highly trained supply and our content IP will be the two pillars of the business.

Team:
Aniket Lila, Co-Founder, CEO 
• Investment Team at Nexus Venture Partners (largest homegrown VC in India, an early
investor in companies like Zomato, Snapdeal, Unacademy, Delhivery, Whitehat Jr, Postman, Druva)
• Corporate Development, Albertsons (2nd largest grocery store retailer in the US)
• BSc from Northwestern University, US
We are a team of 5 across product, content, ops, and business.

Progress:
We have closed a seed round from Nexus Venture Partners, Titan Capital (Snapdeal
founders) and high-value angels like Srini (Elance / Upwork), Ramakant (Livspace) and Vinay (President, Jio), and Farid (Sharechat). We are in stealth and currently building the first version of the product and hiring a kickass team. Our alpha version of the website is live. 

Job Description:
We are looking for a hands-on full-stack engineer to join our core team with experience in building products from scratch into large-scale platforms and solving business problems leveraging new and innovative technology.

Roles and responsibilities:
● Leverage the DevOps team to ensure the product can be built, deployed, and tested
across all of the release cycles from dev to production
● Strong grasp of modern security principles and how to apply them to applications
● Work with stakeholders (product owners, project managers, and scrum masters) to
define and clarify requirements. Hands-on development with both front-end, middle-tier,
and back-end programming
● Work as per the defined project priorities and project schedules and complete the
assigned projects within allotted timelines
● Adhere to agile development methodologies

Experience you MUST have:
● Building RESTful web services using NodeJS
● Writing batch/cron jobs using Python and Shell scripting
● Web application development using JavaScript and JavaScript libraries and ReactJs
and other web technologies - HTML, CSS, and JS
● Basic understanding of JavaScript, Typescript, HTML, CSS, JSON, and REST-based
applications
● Experience/Familiarity with RDBMS or NoSQL Database technologies like MySQL,
MongoDB, PostgreSQL, ElasticSearch, and Redis
● Understanding of code versioning tools such as Git
● Experience with Docker and Kubernetes is a big plus
● Building applications deployed in the cloud using Amazon Web Services (AWS) and
understanding end-to-end deployment.
● Experiences in JS-based build /Package tools like Grunt, Gulp, Bower, Webpack,
and NPM
● Experience in video streaming and call / chat-based products is a big plus
● Experience in working with global remote teams is a plus

Skills/mindset you MUST have:
● Product-first thinking - Break complex problems into implementable solutions with
iterative mindset using the product
● Whole-brain problem solving - Uses right and left sides of the brain effectively -
Strong business judgment and analytical acumen with creative thinking
● Thrive in chaos - Comfortable with ambiguity but loves defining the boundaries
and parameters and getting shit done
● Communicate, care, inspire - Exceptional interpersonal and leadership skills - be
a leader and a team player
● Always push the bar - Strive for excellence in whatever you do, take ownership
and responsibility for outcomes
● Build fast, fail, learn, HUSTLE HUSTLE HUSTLE
● Want to have fun - if you are not happy and people around you are not happy, how
will we make the world a happier place? :)
● Curious and spiritual soul - Understanding of market and experience with
astrology, yoga, mediation, Art of Living, Isha Yoga would be a good plus

Why Astrology? $10B market with a target audience of 200M with 2M astrologers. Astrology is a 4,000-year-old trusted belief system which gives probabilistic insights into the future. People go to astrologers with problems (love and career majorly). They are at low points in their lives and are seeking help. They need guidance and motivation. Just like religion, astrology too gives us hope and brings positivity in our lives.
We want to bring a breath of fresh air to the industry and disrupt the industry using technology and product-first thinking. We want to build a trusted, positive, and relevant wellness brand for today’s audience and be India’s gift to the world.

There are programmers, and there are ace programmers who just love the coding process and hack away at anything that is logically challenging enough. We are looking for the latter-the ace programmers who have excellent logical reasoning and can come up with programs for literally anything that is thrown at them Expected Skills and Experience: - Java, Spring Boot, Node Js and Env management and resource management and impact analysis. - Java EE including (Web Services, REST, JPA). - Database (SQL server/ MySQL/ MongoDB) - Spring, OSGi - Javascript (ReactJS, AngularJS), HTML5, CSS3 - Object-oriented Design and Analysis (OOA and OOD) - Evaluate and identify new technologies for implementation - Ability to convert business requirement into executable code solution Required work experience: - Proven software development experience in Java Spring - Understanding of Java frameworks - Demonstrable knowledge of web technologies including HTML, CSS, Javascript, AJAX - Good knowledge of relational databases, NoSQL Databases, DB version control tools and of developing web services - Experience in common third-party APIs (Google, Facebook, Ebay etc) - Passion for best design and coding practices and a desire to develop new bold ideas - BE/ME/MCA degree in Computer Science, Engineering or a related subject

Looking for Software & Hardware Sales Good Communication