Do Your Thng
https://doyourthng.com/" target="_blank">https://doyourthng.com/
About us:
DYT - Do Your Thng, is an app, where all social media users can share brands they love with their followers and earn money while doing so! We believe everyone is an influencer. DYT - Do Your Thng (DYT) is a creator community platform with an overarching vision to democratise influence and build a thriving creator community. We offer two solutions- an app for creators that helps them make a living out of content creation, and a self-serve web desk module for marketers to execute influencer campaigns in a quick, frictionless, targeted, and economically attractive manner.
- Very good communication skills.
- Knack towards pursuing Business Development as a career.
- Help develop new client bases and assist in maintaining the existing ones.
- Good negotiating skills.
- Ability to work well with cross-functional teams.
- Willingness to make cold calls.
- Creative bend of mind
Subodh Popalwar
Software Engineer, Memorres
About CEDRETO MARKETING PRIVATE LIMITED
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Required Skills: 3D animation skills are must, In-depth knowledge of motion design, video editing, typography, color, space, iconography, patterns, layouts, visual hierarchy and imagery., Knowledge of tools like After Effects, Premiere Pro, Photoshop, Illustrator, etc., Experience in Graphic Design and Motion Graphics/Animation., Entrepreneurial Mindset
Qualification & Experience (type & industry):-
● Relevant Education in Graphic Design and Motion Graphics/Animation.
● 4-6 years of relevant or equivalent industry experience.
NEED CANDIDATE FROM TIER 1 COLLEGE ONLY
Qualification: BE/Dip in Civil Engineer
Experience: 1 to 5+Years
1. Preparing and implementing project plans.
2. Structural analysis & Design, Engineering drawings.
3. Ability to work on deadlines and within budgets
4. Preparing monthly and daily reports detailing progress on engineering procurement.
5. Quality Assurance and Quality control.
6. Problem-solving skills
7. Excellent verbal and written communication skills
8. Negotiating, supervisory and leadership skills
9. Complete knowledge of relevant legislation.
10. liaising with Architect, electrician, plumber, and painter and subcontractors
11. Analyze the results of tests on building materials, such as concrete, wood, asphalt, or steel, for use in particular projects
12. Highly flexible with the ability to work independently or within a team environment
13. Preparing a Reconciliation statement based on Quality of materials received, Quality of materials use and calculate the materials wastage.
14. Excellent knowledge of design and visualizations software such as AutoCAD, Civil 3D or similar.
15. Proficiency in site layout, grading, utility design, erosion control, pipelines, water and sewage systems and waste disposal units
16. Over seeing periodical repairs/ renovations, maintenance works in the existing branches and group companies.
17. Experience in store purchase of Raw materials.
18. Worked with subordinates of Plastering, Brick work, Shuttering, Execution, Blog building,
Concreting, Leveling, waterproofing, Labour control and Interior work
19. Willingness to travel and work in different locations when required.
The opportunity:
● Solve a complex $300+ billion problem at the cutting edge of Fintech innovation, and make a tangible difference to the small business landscape in India
● Join a high performance, dynamic and collaborative work environment that throws new challenges on a daily basis
● Be part of the early founding team and be directly responsible for driving the company's success Key
Role and Responsibilities:
● Work closely with the Founder/CEO and to define and build the platform
● Identify customer problems, latent needs & devise product roadmap
● Communicate and evangelise product output through low-fidelity designs
● Collaborate with Sales and Customer Success to understand and eliminate obstacles to adoption and usage
● Work with Marketing to bring new features to life on various communication touch points
● Collaborate with engineers and designers to arrive at the detailed solutions to problems
● Execute o Own the roadmap for one or more parts of the product o Work with engineering and design to plan launch scope o Together with engineering and design, break-down scope into launch iterations o Deliver product features as per timelines
Skills/ Qualities Required: ● Strong problem solving – Structured thinking, data-driven analysis and strong ability to synthesize findings ● Strong communication (written & verbal) and interpersonal skills ● You should have worked at a startup or started your own company that shipped a product ● An engineering / technical background that will allow you to reason about product trade-offs and make good choices without significant input from engineers ● At least 2 years of experience in a Product Management role ● Attention to detail - great products are all about the details ● Passion for getting the job done – A combination of grit, hustle and problem-solving skills to deliver results on time Nice to haves ● Prior exposure to Fintech landscape and understanding of trends in financial services Key details: ● Role: Product Manager ● Location: Mumbai/ Bangalore● Compensation: Negotiable based on candidate profile (structured as Fixed + Variable, ESOPs to be considered on a case to case basis) ● Date of Joining: ASAP
RESPONSIBILITIES & DUTIES:
• Coordinate executive communications, including taking calls, responding to emails and interfacing with clients.
• Prepare internal and external corporate documents for team members and industry partners.
• Schedule meetings and appointments and manage travel itineraries.
• Arrange corporate events to take place outside of the workplace, such as fund-raising events and staff appreciation events. • Maintain an organized filing system of paper and electronic documents.
• Uphold a strict level of confidentiality.
• Develop and sustain a level of professionalism among staff and clientele.
QUALIFICATIONS & SKILLS:
• Minimum of 2+ years of experience as an Executive Assistant reporting directly to senior management.
• Advanced Microsoft Office skills, with the ability to become familiar with firm-specific programs and software.
• Proficiency in collaboration and delegation of duties.
• Strong organizational, project management, and problem-solving skills with impeccable multi-tasking abilities.
• Exceptional interpersonal skills.
• Friendly and professional demeanor.
We are looking for a social media manager for our blockchain company.
Things will include community management on telegram, instagram, twitter facebook.
We have over 10,000 members on telegram.
We have over 16,000 followers on twitter. (https://twitter.com/CryptionNetwork)
PHP
HTML/CSS
jQueryTask:
- Develop, record, and maintain cutting-edge web-based PHP applications.
- Build innovative, state-of-the-art applications and collaborate with the User Experience (UX) team
- Ensure HTML, CSS, and shared JavaScript is valid and consistent across applications.
- Prepare and maintain all applications utilizing standard development tools.
- Utilize backend data services and contribute to increase existing data services API.
- Lead the entire web application development life cycle right from concept stage to delivery and post launch support.
- Refactor, optimize, and improve the existing codebase for maintenance and scale.
- Use test driven development and acceptance tests to ensure feature quality
- Convey effectively with all task progress, evaluations, suggestions, schedules along with technical and process issues.
- Document the development process, architecture, and standard components.
- Coordinate with co-developers and keeps project manager well informed of the status of development effort and serves as a liaison between development staff and project manager.
- Keep abreast of new trends and best practices in web development.
We wish:
- Previous working experience as a PHP Developer for 4 year(s)
- User authentication and authorization between multiple systems, servers, and environments
- Integration of multiple data sources and databases into one system
- Familiarity with limitations of PHP as a platform and its workarounds
- Proficient in PHP, HTML5, JavaScript, JQuery Expert
- Experience with PHP MVC frameworks (Symfony, Laravel, Yii, CodeIgniter, Zend, etc.)
- Excellent relational database skills with MySQL
- Experience with building restful JSON web services
- Knowledge of API’s, such as Twitter, Facebook, Google maps, Instagram, etc.
- Understanding of responsive design frameworks such as bootstrap
Desirable:
- Should have problem-solving skills
- Good experience in oops concept
- Good experience in MVC
- Good experience in jQuery & JavaScript
- Learn & work on new technologies/ frameworks.
- Knowledge of bootstrap
We Offer:
- Freedom to realize your ideas & individual career & development opportunities.
- A motivating work environment, flat hierarchical structure, numerous company events that cannot be forgotten, and fun at the workplace with flexibilities.
- Professional challenges and career development opportunities.
Data Science
Machine Learning (ML)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.
Python
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Requirements:
- Bachelor's/Masters or Ph.D. degree in Computer Science, Data Science, Statistics or related discipline is NOT MANDATORY. Skills and passion to build products that people love are mandatory. :)
- Minimum 3 years of working experience.
- Firm grasp of the JavaScript language and its nuances, including ES6+ syntax
- Full-stack experience working with backend programming languages as we believe engineers can do anything and everything and so everyone at Emitrr works full-stack.
- Knowledge of Node.js and frameworks available for it (such as Express, StrongLoop, etc depending on your technology stack)
- Good understanding of React.js and its core principles with experience with working on popular React.js workflows (such as Flux or Redux)
- Experience in building performant mobile apps in iOS or Android on react native is a plus
JavaPythonJavascript
Amazon Web Services (AWS)
Follow CutshortSubodh Popalwar
Software Engineer, Memorres