**Candidates anywhere from India can apply**
Job Responsibilities
- Set Mastree’s classrooms as centers of excellent teaching and creative learning ● Monitor and Review the progress of the students
- Identify gaps & provide inputs to the students based on their performance ● Conduct regular PTMs and keep the parents informed about the progress of their kid
Ideal Candidate
- Excellent communicator
- Passion to engage students
- Energetic and Lively
- Great command in the English language
- Good screen presence
- Drive conversations with the students and parents
- Presence of mind to handle parent queries
- Believe in conceptual learning
- Adapt to non-conventional methods of teaching
- Facilitate the class with minimal supervision
- Open to feedback and accept constructive criticism
- Comfortable with technology and dealing with digital content
Qualifications:
Bachelor’s/Master's Degree, preferably B.A or B.Ed
Tech Requirements:
Good Laptop/Desktop (8GB RAM or higher)
High-quality webcam (HD/1080p inbuilt or external)
Stable Internet with speed >5 Mbps
Power Backup for Internet
Lighting and Decent Background
Experience: Minimum 1 year of professional teaching experience, online tutoring experience will be a plus
Shubham Vishwakarma
Full Stack Developer - Averlon
About Mastree
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We are looking for a motivated and results-driven SaaS Sales Executive who has experience in selling software solutions or SaaS products. The ideal candidate should be capable of identifying potential clients, understanding their business requirements, and offering suitable software solutions to drive revenue growth.
Key Responsibilities
Identify and generate new business opportunities through calls, emails, LinkedIn, and other lead generation platforms.
Present and demonstrate software/SaaS products to prospective clients.
Understand client requirements and provide appropriate product solutions.
Conduct product demonstrations, online meetings, and follow-ups with potential customers.
Convert leads into successful sales and achieve monthly sales targets.
Maintain strong relationships with existing clients to ensure customer satisfaction and retention.
Maintain accurate records of leads, sales activities, and customer interactions in CRM or internal systems.
Coordinate with the technical and implementation teams for smooth onboarding of clients.
Stay updated with industry trends and competitor offerings.
Required Skills
Experience in SaaS / Software sales or IT product sales.
Strong communication and negotiation skills.
Ability to handle client objections and close deals effectively.
Knowledge of CRM tools, LinkedIn, and online sales platforms is an advantage.
Self-motivated with a target-driven mindset.
Good understanding of sales pipelines and customer relationship management.
PythonTableau Server Administrator (10+ Yrs Exp.) 📊🔒
📍Location: Remote
🗓️ Experience: 10+ years
MandatorySkills & Qualifications:
1. Proven expertise in Tableau architecture, clustering, scalability, and high availability.
2. Proficiency in PowerShell, Python, or Shell scripting.
3. Experience with cloud platforms (AWS, Azure, GCP) and Tableau Cloud.
4. Familiarity with database systems (SQL Server, Oracle, Snowflake).
5. Any certification Plus.
Responsibilities:
1. Sales Generation:
· Identify and prospect potential clients to generate new business opportunities.
· Conduct effective sales presentations and product demonstrations to showcase the value proposition of our offerings.
· Collaborate with the sales team to develop and implement sales strategies to achieve revenue targets.
· Follow up with leads and coordinate the entire sales cycle from initial contact to closing deals.
2. Client Relationship Management (only for Senior Associate):
· Build and maintain strong relationships with clients by understanding their needs and providing tailored solutions.
· Provide exceptional customer service and address client inquiries and concerns promptly and professionally.
· Conduct regular client follow-ups to ensure client satisfaction and identify opportunities for upselling or cross-selling.
3. Market Analysis (only for Senior Associate):
· Stay updated on industry trends, market conditions, and competitor activities.
· Conduct market analysis to identify potential business opportunities and target markets.
· Gather customer feedback and market insights to contribute to product and service enhancements.
4. Sales Administration:
· Maintain accurate and up-to-date sales records, including customer profiles, sales activities, and pipeline management.
· Prepare sales reports and forecasts for management review.
· Collaborate with the sales team and other departments to streamline processes and improve sales effectiveness.
Qualifications and Skills:
· Bachelor's degree in Business, Marketing, or a related field.
· Proven track record of 1-3 years in sales or business development roles for an associate and 4-6 years in sales and business development roles for a senior associate, preferably in a B2B environment.
· Relevant experience like training Industry, HR consultancy, etc
· Strong negotiation and persuasion skills with the ability to close deals.
· Excellent communication and presentation skills, both verbal and written.
· Self-motivated and target-driven, with a demonstrated ability to work in a fast-paced sales environment.
· Strong interpersonal skills with the ability to build rapport and establish long-term client relationships.
Benefits:
· Opportunities for career growth and professional development.
· Collaborative and supportive work environment.
· Ongoing training and skill development programs.
About Company
Company is a fast-growing start-up with a world-class platform that simplifies network monetization. Our mission is to enable any company to launch services atop any network infrastructure with radical simplicity. Leveraging the power of our platform, Reach also operates a top-rated mobile service Reach Mobile in the U.S. that donates 10% of data plan costs to provide life changing connectivity to women and students in need. About the Role: It’s a global role responsible for managing the product throughout the product lifecycle from planning to execution in support of organizational strategy and objectives.
Responsibilities:
• Write detailed user stories and acceptance criteria, draft user flows, communicate project scope effectively, and manage products through development, QA, UA Testing, and launch • Ability to understand business and technical requirements & conceptualize end-toend solutions
• Ensure requirements are communicated effectively to the business, design, operations, CS and development teams.
• Manage agile product development process from a product management point of view
• Participate in scrum meetings, planning, reviews and retrospectives • Maintain and prioritize the product backlog and track feature releases with different stakeholders
• Work with QA and engineering teams to streamline system integration, test and improve product features
• Serve as an in-house expert for our products and become the go-to person for all functional issues
• Manage all aspects of in-life products, including customer feedback, requirements, and issues
• Have Strong OSS/BSS requirement gathering and solution experience (Telecom domain).
• Minimum 5-7 years of experience in Telecom products e.g CRM, SDP, Billing & Service provisioning. Skills and Qualifications:
• A Bachelor’s degree in Computer Science, Engineering or equivalent preferred
highly skilled resources, effectively managing candidate relationships, and selling as an employer of choice – all to ensure the right talent is available when needed.
● Handle recruitment activities from gathering the role’s responsibilities, sourcing, screening, interviews, offers, and following up until the candidate joins.
● Articulate, in writing, a plan with deliverables, timelines and a formal tracking process/reporting/metrics.
● Manage customer/partner expectations through a deep understanding of business.
● Work with hiring managers to understand immediate and future requirements in business units to regulate direction of efforts.
● Interview candidates within the framework of the position specification.Possess validated ability to screen, interview and prepare an ideal candidate within an appropriate and consistent timeline.
● Focus on effective networking methods to reach the greatest number of potential candidates through internet sourcing, direct mailing, LinkedIn, industry leads & sources, key contacts, portals, etc.
● Ability to understand how to recruit passive candidates and possess the mentality to "profile people and gauge chemistry of candidates for fit and understand their motivation" rather than simply selling a role.
● Experience in handling salary mapping, offer negotiation and follow up with the candidates.
● Recommend ideas and strategies related to recruitment that will contribute to the long-range growth of the company, implementing any new processes and fine tuning standard processes for recruiting that fits
within mission to deliver the highest quality results to our users.
● Participate in special projects/recruiting initiatives including assessment of best practices in interviewing techniques, leveraging of internal sources of
talent.
● Challenge the validity of given procedures and processes with the intent to enhance and improve.
● Responsible for fulfillment of hiring requirements which will involve Sourcing screening and scheduling.
● Manage Reporting and Analytics
● Responsible for managing/driving key recruitment metrics
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Data Science
Machine Learning (ML)PythonData Scientist-
We are looking for an experienced Data Scientists to join our engineering team and
help us enhance our mobile application with data. In this role, we're looking for
people who are passionate about developing ML/AI in various domains that solves
enterprise problems. We are keen on hiring someone who loves working in fast paced start-up environment and looking to solve some challenging engineering
problems.
As one of the earliest members in engineering, you will have the flexibility to design
the models and architecture from ground up. As any early-stage start-up, we expect
you to be comfortable wearing various hats, and be proactive contributor in building
something truly remarkable.
Responsibilities
Researches, develops and maintains machine learning and statistical models for
business requirements
Work across the spectrum of statistical modelling including supervised,
unsupervised, & deep learning techniques to apply the right level of solution to
the right problem Coordinate with different functional teams to monitor outcomes and refine/
improve the machine learning models Implements models to uncover patterns and predictions creating business value and innovation
Identify unexplored data opportunities for the business to unlock and maximize
the potential of digital data within the organization
Develop NLP concepts and algorithms to classify and summarize structured/unstructured text data
Qualifications
3+ years of experience solving complex business problems using machine
learning.
Fluency in programming languages such as Python, NLP and Bert, is a must
Strong analytical and critical thinking skills
Experience in building production quality models using state-of-the-art technologies
Familiarity with databases like MySQL, Oracle, SQL Server, NoSQL, etc. is
desirable Ability to collaborate on projects and work independently when required.
Previous experience in Fintech/payments domain is a bonus
You should have Bachelor’s or Master’s degree in Computer Science, Statistics
or Mathematics or another quantitative field from a top tier Institute
Data ScienceMachine 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.
React.js
Javascript
HTML/CSS
Vue.js
Angular (2+)About us:
At Priori Capital, we are building The financial SaaS for the Businesses operating with digital assets by empowering the teams to operate in an effective, efficient and error-free manner by bringing all things finance on one platform. We aim to solve digital asset management for institutions offering cryptographic security, user management setup and secure access to the blockchain ecosystem.
We’re looking for someone passionate about driving innovation and solving exciting problems.
What are you joining:
- We are currently in a fast-paced growth environment where the only constant is evolution!
- Our team includes individuals with experience in internationally known blockchain and fintech companies like Polygon (Matic), udaanCapital, Iris, Infosys, Cognizant etc.
- We are an early stage start-up with funding from founders of Polygon and a part of the Kira community.
What will you do:
- Design to simplify the complexity - Work with our designers to simplify the systems that are working across chains, protocols or existing financial systems.
- Build for the future of finance - Build, deploy and come back to the whiteboard with the core team to innovate, ideate and scale solutions.
- Own your ship - Be responsible to build framework components, own the development process and drive the development cycle to improve transparency and productivity across the team.
What are we looking for:
- 2+ years of experience in Frontend Engineering building scalable web applications: Experience in web3/fintech is not a mandate to apply. You learn as you go!
- You should be good at your game: Detailed oriented and have a thorough knowledge of JavaScript, HTML5 and CSS3 & hands-on experience with either of VueJS, Angular, React OR similar.
- You have a strong bias for action: You seek problems. If you see one, you find the solution. If you have one, you should be already building it. If it fails, you move to the next!
- You want to grow but together: You want to learn and master new skills by tackling new problems with the team
We are more excited if you have this:
- Knowledge of Git, GraphQL, Flux, Webpack, etc.
- Good at analytical problem solving, know-how of core computer science and algorithms.
- Interested in blockchain or finance.
- Experience in Fintech or Web3 Applications
Benefits:
- Learn from the best!
- Work from wherever
- Self-managed leave policy
- Focus on Work-life Balance
- Learning Budget to hone a skill or learn new ones
- Be a part of the fast-growing environment
- Competitive Salary
Responsibilities Include
The ideal candidate should be both creative and detail-oriented, has proven mobile game design experience, and is comfortable working with stakeholders ranging all the way from product and marketing teams to the engineering team. The work environment is fast-paced and results driven.
Roles and Responsibilities
Own the entire design of new features existing games or new games and take full responsibility for coordinating with various stakeholders until go live
Generate new and innovative feature ideas, enhancements to the existing products and collate
requests from both internal and external requestors
Create innovative user experience design including usability and interaction design flow for features
Create functional and design documents, business cases, user experience flow and wireframes, conduct reviews with requestor groups and development teams and be the main contact for the specifications/design during the game development and implementation phases.
Interact with all relevant stakeholders to drive timely, seamless and successful rollouts/launches.
Define, track and improve key product metrics and monitor those metrics.
Skills and Experience Desired
Have a passion for games
Minimum 5+ years of Game Design experience in mobile and ideally designing free to play games within-app purchases
Experience in designing games for Android and iOS is a must
Strong analytical, organizational and creative skills
Exceptional levels of attention to detail
Must be proficient in Excel, Formulas, and able to provide visual designs with mock-ups in any tool ofyour choice.
Experience with live game events/sales design and content calendar planning
Strong analytical abilities and able to synthesize game systems and mechanics to improve game
features and systems
Understanding the specifics of social and mobile games
Knowledge of the market and the main trends of social and mobile games
Knowledge and experience with the main game metrics
Ability to create a high-quality, addictive online and social game feature-sets
Experience with multiple aspects of game design discipline: concept, game progression, combat,
interface, monetization, and retention
Experience in designing games and monetization models for F2P games.
Thorough understanding of mobile gaming ecosystems.
Knowledge of designing traditional card, board and dice game is a plus.
Proven ability to create detailed game design documents.
Understanding of social networks and social gaming markets is a plus.
Ability to work in a fast-paced cross-functional team environment is a must.
A very hands-on and keen eye for detail, with the ability to present business and technical issues,
ideas, and recommendations clearly in verbal, written and presentation formats.
Positive, pro-active attitude with a will to deliver quickly, adhering to tight deadlines.
Location: Bangalore
JavaJavascriptAngular (2+)React.js● Design and develop software to support business practice management of current products based on the Java/Python/PHP/Node JS platforms
● Ensure design meets product requirements and structured to scale with business growth
● Ensure design comply to industry standards and interoperates with 3rd party software
● Conduct thorough design unit and integration testing with other software components
● Adhere to proper software design principles and processes with design documentations, reviews, test plans and release notes.
● Mentor/coach and guide other team members to achieve project deliverables
Skills & Competencies:
● Significant and demonstrable Java/Python/PHP/NodeJS development experience (server side).
● Significant and demonstrable experience of using Unix / Linux based Operating Systems including performing basic administrative tasks.
● Desirable experience of scripting languages e.g Ruby or Perl
● Significant and demonstrable experience of responsive websites
● Significant and demonstrable experience of integrating payment systems to websites
● Significant and demonstrable experience in any database system
● Sound problem solving skills and aptitude
● Sound communication skills and team working
● Experience of the following is highly desirable: memcache, Apache HTTPd server, Tomcat, Linux, HTTP, MySQL, PostgreSQL
● Experience in creating cloud based solutions (AWS, …)
● Experience in working with highly scalable solutions (load balancing, sharding, clustering)
● Good problem-solving skills
● Team player ● Good time-management skills
● Great interpersonal and communication skills
● Excellent documentation skills
● Proven ability to mentor, coach and guide team members.
● Proactive and take ownership of delivering best-in-class solutions that serve business outcomes.
Qualifications ● B.E/BS/Masters degree in Computer Science
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon