Telesales Executive

Basic event feed backend structure

2. Media item status model

3. Redis cache workflow for event feed

4. Basic Fast Lane upload processing flow

5. trigger_type and highlight_triggers backend structure

6. One sample admin-triggered workflow, for example goal or full-time

7. Status transition from provisional_ready to ready / pending_review / blocked

Review Criteria

• Strong Data Scientist/Machine Learnings/ AI Engineer Profile
• 2+ years of hands-on experience as a Data Scientist or Machine Learning Engineer building ML models
• Strong expertise in Python with the ability to implement classical ML algorithms including linear regression, logistic regression, decision trees, gradient boosting, etc.
• Hands-on experience in minimum 2+ usecaseds out of recommendation systems, image data, fraud/risk detection, price modelling, propensity models
• Strong exposure to NLP, including text generation or text classification (Text G), embeddings, similarity models, user profiling, and feature extraction from unstructured text
• Experience productionizing ML models through APIs/CI/CD/Docker and working on AWS or GCP environments
• Preferred (Company) – Must be from product companies

Job Specific Criteria

• CV Attachment is mandatory
• What's your current company?
• Which use cases you have hands on experience?
• Are you ok for Mumbai location (if candidate is from outside Mumbai)?
• Reason for change (if candidate has been in current company for less than 1 year)?
• Reason for hike (if greater than 25%)?

Role & Responsibilities

• Partner with Product to spot high-leverage ML opportunities tied to business metrics.
• Wrangle large structured and unstructured datasets; build reliable features and data contracts.
• Build and ship models to:
• Enhance customer experiences and personalization
• Boost revenue via pricing/discount optimization
• Power user-to-user discovery and ranking (matchmaking at scale)
• Detect and block fraud/risk in real time
• Score conversion/churn/acceptance propensity for targeted actions
• Collaborate with Engineering to productionize via APIs/CI/CD/Docker on AWS.
• Design and run A/B tests with guardrails.
• Build monitoring for model/data drift and business KPIs

Ideal Candidate

• 2–5 years of DS/ML experience in consumer internet / B2C products, with 7–8 models shipped to production end-to-end.
• Proven, hands-on success in at least two (preferably 3–4) of the following:
• Recommender systems (retrieval + ranking, NDCG/Recall, online lift; bandits a plus)
• Fraud/risk detection (severe class imbalance, PR-AUC)
• Pricing models (elasticity, demand curves, margin vs. win-rate trade-offs, guardrails/simulation)
• Propensity models (payment/churn)
• Programming: strong Python and SQL; solid git, Docker, CI/CD.
• Cloud and data: experience with AWS or GCP; familiarity with warehouses/dashboards (Redshift/BigQuery, Looker/Tableau).
• ML breadth: recommender systems, NLP or user profiling, anomaly detection.
• Communication: clear storytelling with data; can align stakeholders and drive decisions.

Job Description for Site Engineer

Oversee solar installation projects from planning to execution.

Ensure compliance with quality standards and project specifications.

Collaborate with cross-functional teams to optimize site operations.

Troubleshoot and resolve any site-related issues.

Monitor project progress and report on key performance metrics.

Qualifications:

Minimum of 2 years of experience in solar energy systems installation and maintenance.

Strong knowledge of solar technology, components, and project planning.

Familiarity with site engineering practices specific to solar energy solutions.

Relevant certifications in solar or renewable energy systems are advantageous.

Excellent teamwork and communication skills to ensure project success

Responsibilities:

• Content Writing: Draft insightful and compelling newsletters.
• Content Review: Ensure newsletters are grammatically correct, coherent, and adhere to our brand guidelines.
• Collaboration: Work with SEO and other content creators to produce articles that drive traffic.

Qualifications:

• Writing & Editing: Proven capability in writing and meticulously editing content.
• Detail-Oriented: Exceptional attention to detail, ensuring content is free from errors.
• Time Management: Ability to manage multiple tasks and meet strict deadlines.
• AI-first approach: should be familiar with tools like ChatGPT, Claude, Perplexity.ai for writing, research, data analysis, summaries, grammar checking etc.
• This is very important - if you can somehow showcase how you used AI in your test task (below), that will put you way ahead of other applicants.

Business Development is a critical aspect of our platform business.

1. Actively seeking out new sales opportunities through cold calling, networking and social media. 2. Calling 65-70 leads everyday

3. Setting up meetings with potential clients (parents)

4. Generating Trial Classes - Pitch Parents to take PlanetSpark trial Classes

5. Negotiate/close deals and handle complaints or objections

6. Follow and achieve department’s sales goals on a monthly, quarterly and yearly basis (3L revenue per month)

7. “Go the extra mile” to drive sales

 Mission Statement

1. In your training of 1st month, we shall actively probe you through the process using Training Decks, Live Experiences, Re-Training Programs that aims to give you an overall Learning experience along with you paid stipend along the journey.

2. We create career oritented BDCs in this 1 month whose skill becomes unmatched across the sector.

3. You are required to use right sales strategy and accomplish 1 Lac of revenue in the training period, hence making a way to achieve License to Sell (L-2-S)

4. You will be entitled for training stipend of Rs.21428 fixed + incentives 5. Post 1L Revenue achievement, you will be entitled for below CTC

India Shift (10:30am to 8:30 pm) - INR 6.6 LPA (4.23 LPA Fixed + 2.4 LPA Variable) US/ Canada Shift (8:00 pm to 5:00 am) - INR 7.10 LPA (4.83 Fixed + 2.3 LPA Variable)

What are we looking for?

1. Proficiency in English

2. Thorough understanding of marketing and negotiating techniques 3. Fast learner and passion for sales

4. Self-motivated with a results-driven approach

5. Proven experience in sale or relevant role is a plus

6. A friendly and energetic personality with customer service focus

Criteria

1. Willing to work 5 days in a week in a fast paced startup 2. Ready to work from Office and join immediately.

3. Week-off on Wednesday, Thursday or Thursday, Friday

We are looking for a Full Stack Developer to produce scalable software solutions. You'll be part of a cross-functional team that's responsible for the full software development life cycle, from conception to deployment. As a Full Stack Developer, you should be comfortable around front-end and back-end coding languages, development frameworks and third-party libraries. You should also be a team player with a knack for visual design and utility. Too familiar with Agile methodologies.

Responsibilities

• Design client-side and server-side architecture
• Build the front-end of applications through appealing visual design
• Develop and manage well-functioning databases and applications
• Write effective APIs
• Test software to ensure responsiveness and efficiency
• Troubleshoot, debug and upgrade software
• Create security and data protection settings
• Build features and applications with a mobile responsive design
• Write technical documentation

Requirements

• Proven experience as a Full Stack Developer or similar role
• Experience developing desktop and mobile applications
• Familiarity with common stacks like LAMP Stack and Mean Stack...
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Knowledge of multiple back-end languages (e.g. PHP, Python) and JavaScript frameworks (e.g. Angular, React, Node.js)
• Familiarity with databases (e.g. MySQL, MongoDB), web servers (e.g. Apache) and UI/UX design
• Excellent communication and teamwork skills
• Great attention to detail
• Organizational skills
• An analytical mind
• Degree in Computer Science, Statistics or relevant field

What you need to have: