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PlanetSpark is Hiring for Sales Role.
Job Title : Business Development Associate
Location : Gurgaon
Working : Work from office (WFO )
Industry : Ed Tech
Functional Area : INSIDE SALES
Shift: Day Shift/Night Shift (Optional)
Roles & Responsibilities :
A Business Development Associate is responsible for generating new business opportunities and building relationships with potential clients through a variety of sales and marketing activities.
Responsibilities:
● Conducting product demos and presentations to potential clients, answering their questions and addressing any concerns they may have.
● Building and maintaining relationships with clients and partners through regular communication and follow-up, providing ongoing support and assistance as needed.
● Intensely following up with the prospects and closing the sales within the sales cycle.
● Diligently communicating and priming the lead through channels like email, and calls.
●Creating and maintaining accurate and up-to-date records of all sales activities, including leads, contacts, and opportunities in the company's CRM system.
● Achieving the monthly targets while completing all the input metrics targets.
Hiring Criteria
During 1-month training – INR 21,428 per month (fixed) + incentives
After training – INR 6.5 LPA (4.1 LPA Fixed + 2.4 LPA Variable)
Skill Required - Excellent Communication
Exp Required : 6 Months -2 Years ( fresher also welcome)
Minimum Education : Graduation
2018,2019,2020,2021,2022
Important Criteria -
Willing to work 6 days a week.
Willing to work in a Start-up (High Intensive learning and Rapid
Growing atmosphere)
Job Location – Gurgaon
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Shubham Vishwakarma
Full Stack Developer - Averlon
About Planet Spark
About
PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment. We are Series A funded by some top VCs and are on a 30% month-on-month growth curve. We have our footprint in India, the Middle East, North America, and Australia. Come join a passionate team of over 500 young and energetic members and 400+ expert and handpicked teachers on this roller coaster ride to build the most loved brand for kids who will move the world!
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- Job Category
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- Posting Date
- 10/01/2025, 11:42 AM
- Locations
- Pritech Park SEZ Block12, IN
- Apply Before
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- Job Schedule
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- Job Shift
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Data Science
Machine Learning (ML)XressBees – a logistics company started in 2015 – is amongst the fastest growing companies of its sector. Our
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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.
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● 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
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● Work with fellow data scientists/SW engineers to build out other parts of the infrastructure, effectively
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product challenges.
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and others.
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Hadoop, HBase, Spark, etc
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drive business solutions.
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development, marketing techniques and business strategies.
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● 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.
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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.
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● Experience with Relational databases and NoSQL databases
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● Working knowledge of current techniques and approaches in machine learning and statistical or
mathematical models
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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 business analyst serves as a liaison between developers and users, clients, management and IT.
Using IT resources at an advanced level to create IT solutions, enabling organiastion meet their goals
Understanding data formats and translating them to useful process inputs.
Understanding calculation logic and interacting with the clients on their queries
Good knowledge of subject matter – both Finance and IT
Doing product demonstrations internally as well as to clients
Solution implementation from excel integration, data uploads, data checks
Documenting Processes, meetings, flow diagrams, manuals, etc.
Planning and monitoring
Requirements organization and translating and simplifying requirements
Prioritize requirements and create conceptual prototypes and mock-ups
Apply best practices for effective communication and problem-solving
Business Analyst requirements are
Strong written and verbal communication skills.
Good understanding of financial concepts applicable in Capital markets.
Being able to work in a fast-paced multidisciplinary environment as in a competitive landscape new data
keeps flowing in rapidly and the world is constantly changing
Being able to create examples, prototypes, demonstrations
Having a good understanding of des
Understanding of systems engineering concepts
Business case development
Modeling techniques and methods
Flexible and able to adapt to business requirements
Strong logical thinking and problem-solving skills.
Must to Have
MBA in Finance or Worked for a Product based technology company in BFSI
Previous work experience with a Wealth Tech or Fin Tech company is a plus.
Java
Spring Boot
Go Programming (Golang)Roles and Responsibilities:-
- Work with a tight-knit team of engineers and Product managers to deliver features & functionalities that delight our customers
- Build end-to-end systems that powers the health insurance stack - payments, onboarding, claims & integrations.
- Build for high observability, improve performance and remove bottlenecks within the application and infrastructure.
- Participate in design meetings, code reviews, mentoring new starters, technical interviews, and contribute to growing the team.
Experience and Qualifications:-
- 5+ years of experience in Go or Java.
- Proven experience in building scalable backend systems (databases, middleware and APIs).
- Firmly grounded computer science and engineering fundamentals including concurrency, multithreading, data structures, solution design, architecture, and design patterns.
- Excellent analytical and time management skills.
React NativeYou will be responsible for architecting and building applications, as well as coordinating with the teams responsible for other layers of the product infrastructure.
Responsibilities:
Leverage native APIs for deep integrations with both platforms.
Diagnose and fix bugs and performance bottlenecks for performance that feels native.
Maintain code and write automated tests to ensure the product is of the highest quality.
Transition existing React web apps to React Native.
Skills:
Firm grasp of the JavaScript (TypeScript would be a plus)
Knowledge of functional or object-oriented programming
Ability to write well-documented, clean Javascript code
Familiarity with native build tools, like XCode, Android Studio
Understanding of REST APIs, the document request model, and offline storage
Experience with automated testing suites
Send across:
Your LinkedIn profile
Your Github profile
Links to projects you have built
- Developing content for blogs, articles, app descriptions, social media, and the company website.
- Write in “American English” as the audience is a US consumer audience
- Identifying customers’ needs and recommending new content to address gaps in the current content.
- Build and manage our social media profiles and presence across channels you deem relevant
- Curate and create interesting, relevant, and trending content people look forward to every day
- Monitor and engage in relevant social discussions about our company, competitors, and/or industry, both from existing leads and customers as well as from brand new audiences.
- Ideate and execute world-class social promotions and campaigns and track their success
- Work alongside other marketers to create content that educates and entertains our audience and supports marketing goals.
- Drive consistent, relevant traffic and leads from our social network presence.
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon