
Role: Account Manager
• Setting sales goals and developing sales strategies
• Researching prospects and generating leads
• Contacting potential and existing customers on the phone, by email, and in-person (Field Visits)
• Handling customer questions, inquiries, and complaints
• Preparing and sending quotes and proposals
• Managing the sales process through specific software programs
• Building and maintaining a CRM database
• Meeting weekly, and monthly sales targets
• Participating in sales team meetings
Benefits:
•We offer an attractive variable portion. Incentives on each & every sale.
•Adequate responsibilities from Day 1.
•Be the owner of your own learning curve.
*Bike is mandatory, laptop preferred

About iTech Ecommerce Pvt Ltd
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Video Editor, AM:PM Network
We're AM:PM, a short-form vertical video news platform for Gen Z. Fast, sharp, opinionated news that competes with entertainment on the feed.
We're hiring a video editor who lives and breathes new-age editing. Heavy motion graphics, punchy cuts, viral hooks. Someone with real taste, not just technical skill.
What you'll do:
- Edit short-form vertical videos, mostly for us
- Build motion graphics that make a story pop
- Craft hooks that stop the scroll
- Work inside a live newsroom, putting out content daily
- Pitch in on videography when needed
You're a fit if you:
- Are strong on Premiere Pro or DaVinci Resolve (whatever you're comfortable in)
- Have serious motion graphics skill
- Get new-age, fast-paced short-form editing
- Want to make content that actually moves the needle
- Move fast and ship daily
Setup:
- We cover the software subscription
- We can provide a PC if you don't have one
- In-office Andheri
Job Description
Job Title: Sr. Executive - Stores
Department: Stores
Location: Bommasandra
Reporting To: Stores / Purchase Asst Manager & GM
Employment Type: Full-time
Job Purpose:
The Store executive is responsible for managing the daily store operations, ensuring proper inventory control, documentation, and coordination with production and purchase departments. The role requires ERP knowledge, auditing skills, material tracking, and adherence to 5S standards. The inventory level to be managed in the stores would be to the tune of 10.00 Cr.
Key Responsibilities
1. Inventory Management & Control
- Maintain accurate stock records and ensure inventory accuracy.
- Track stock movement using ERP software.
- Conduct periodic stock audits and cycle counting.
- Identify and report shortages and take necessary follow-up actions.
2. Goods Receipt & Documentation
- Process Goods Receipt Notes (GRN) for incoming materials.
- Verify invoices and delivery notes against purchase orders.
- Maintain proper documentation for batch cards and material tracking.
3. ERP & System Management
- Enter and manage stock transactions in the ERP system.
- Generate inventory and material consumption reports.
- Ensure real-time stock updates and data accuracy.
4. Third-Party Job Work & Material Tracking
- Track materials sent for third-party job work and ensure proper documentation.
- Follow up on pending materials and timely job completion.
- Record and verify materials received after external processing.
5. Auditing & Compliance
- Conduct internal store audits to ensure compliance.
- Prepare documents for external audits.
- Implement and maintain 5S practices in the store.
6. Shortage Follow-Up & Coordination
- Identify critical shortages affecting production.
- Coordinate with the purchase and production team for urgent procurement.
- Ensure timely replenishment of raw materials and consumables.
7. General Store Management
- Supervise store staff and daily operations.
- Maintain cleanliness, safety, and organization in the store.
- Ensure proper handling and storage of materials.
Required Skills & Qualifications
Education & Experience
- Education: Degree
- Experience: 5-6 years of experience in store management in a manufacturing industry – Electrical / electronics sector .
Technical Skills
- ERP system knowledge
- GRN processing and material documentation.
- Inventory control & stock tracking.
- Basic auditing and compliance understanding.
- 5S knowledge and implementation.
Soft Skills
- Strong coordination and communication skills.
- Good analytical and problem-solving abilities.
- Attention to detail and accuracy.
- Ability to work under pressure and meet deadlines.
Machine Learning Engineer (For client company)
Location: Bengaluru, India (Hybrid/Onsite)
Experience: 3–4 years
The Role
We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.
You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.
This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.
What You'll Do
- Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
- Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
- Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
- Build training, evaluation, and inference pipelines using Databricks.
- Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
- Define and own model evaluation metrics for safety-critical systems, including:
- Precision
- Recall
- Sensitivity
- Specificity
- False alarm rate
- Missed event rate
- Detection latency
- Analyze production model performance across facilities, residents, devices, and time periods.
- Handle noisy real-world datasets, including:
- Missing values
- Label quality issues
- Device variability
- Sparse event data
- Facility-specific patterns
- Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
- Deploy, monitor, and continuously improve production ML models.
- Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.
What We're Looking For
- 3–4 years of experience building and deploying machine learning systems in production.
- Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
- Strong understanding of classical machine learning concepts, including:
- Feature engineering
- Model training
- Cross-validation
- Error analysis
- Model evaluation
- Hands-on experience with algorithms such as:
- XGBoost
- Random Forests
- Gradient Boosting
- Ensemble methods
- Anomaly Detection
- Time-series models
- Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
- Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
- Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
- Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
- Comfortable working in a fast-moving startup environment with ambiguity.
- Strong ownership mindset with the ability to take ML models from experimentation through production deployment.
Good to Have
- Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.
Exposure to:
- Computer Vision
- Pose Estimation
- Skeleton Tracking
- Object Tracking
- Spatial Data Processing
- Experience with:
- MLflow
- Model Registry
- Feature Stores
- Experiment Tracking
- Model Monitoring
- Experience with:
- ONNX
- Model Quantization
- Edge Deployment
- Latency Optimization
- Resource-Constrained Inference
- Familiarity with real-time data pipelines using:
- Kafka
- Spark Structured Streaming
- Streaming inference architectures
We are looking for an experienced, ambitious and energetic BD professional to join our Sales team and help us expand our clientele.
Responsibilities:
- Identify the various stakeholders within the targeted organization and understand how to gather key information like reporting structure, budget cycles.
- Finding Key Contacts from the Targeted Accounts / Region & recognize the decision makers to generate Interest among them Via Phone Calls and Emails.
- Networking and Initiating Dialogues with Senior Executives in Corporate (CPO, V. P, Directors Etc. ).
- Prepare and deliver appropriate presentations on our offerings for Sales demo.
- Engage with prospects on an on-going basis for requirement gathering and relationship building throughout the sales cycle.
- Provide strategic inputs for the business based on interactions with prospective customers.
- End to end sales process (From Lead Generation till deal Closure ).
- Selling experience in the IT services/products domain for International Market (especially North America & Western Europe).
Requirements: Experience: 1+ years in:
- Delivering demos and hosting pre-sales calls for US Market preferred.
- Confident & goal-oriented team player with good grip on the English language.
- Powerful verbal, written, presentation, facilitation, communication, relationship building, social networking skills.
- Strategic, analytical and problem solving mindset.
- Ability to work independently and proactively in a dynamic environment.
- Ability to grow and handle more responsibility / accountability.
- Should be comfortable working in flexible shifts timings, as will be handling a Specific Territory in the International Market from Mumbai.
Job Description
Team Leadership: Lead and inspire a team of marketing professionals, fostering a collaborative and creative work environment. Provide guidance, mentorship, and support to ensure the team's success.
Marketing Strategy: Develop, implement, and oversee comprehensive marketing strategies aligned with business goals. Continuously evaluate and refine strategies to adapt to market dynamics.
Campaign Management: Plan, execute, and optimize multi-channel marketing campaigns to reach target audiences. Monitor campaign performance, analyze results, and implement improvements for maximum effectiveness.
Event Management and Industry Collaboration: Strategically plan, meticulously manage, and flawlessly execute diverse events, including hosted, participated, and sponsored activities.
Brand Management and Publishing: Ensure brand consistency across all marketing channels. Oversee the creation of compelling and on-brand content for various platforms.
Event Outcome / ROI Tracking: Effectively and systematically assess and track the ROI of an Event in line with the internal process with the respective team members.
Cross-functional Collaboration: Collaborate with sales, Creative, Technical, and other departments to align marketing strategies with overall business objectives.
Vendor Management: Oversee vendor management associated with various events and activities ensuring an on-time delivery.
Budget Management: Manage the marketing budget effectively, allocating resources to maximize return on investment.
Performance Analysis: Utilize data analytics to measure the success of marketing initiatives. Provide regular reports with key performance indicators, insights, and recommendations for improvement.
Roles & Responsibilities
- Assist in recruitment: job postings, resume screening, interview scheduling.
- Support onboarding and maintain employee records.
- Help with HR operations, documentation, and data entry.
- Coordinate employee engagement activities and training sessions.
- Prepare basic HR reports (attendance, leaves, etc.).
- Ensure confidentiality and assist in implementing HR policies.
Think you know your way around the Indian+ Global Culture, entertainment world, films, pop culture, memes and OTT?
If Content and Content Strategy is your thing, this one’s for you.
We are looking for someone who can understand the consumers' pulse, represent our expert brand voice, and develop brilliant content to help build our Brand across various platforms.
We need someone who can give all our long-form content, scripts and videos a distinct voice & language of their own, which seamlessly weaves in with our brand story & helps flesh out a brand personality our consumers can clearly recognize.
Responsibilities:
- Help carve out and build our Youtube channels (for two brands) with fun content in the health and wellness space using unique and creative ways.
- Find out-of-the-box topics based on competitor analysis, trending topics in the digital space ( youtube/ instagram)
Requirements:
- Speaks Memes, gifs and Pop Culture
- Is familiar with writing creative content
- Is familiar with online brands and Youtube Channels
- Excellent writing and editing skills in English, Hinglish
- Has an innate ability to think laterally and literally
- Motivation and the desire to execute every job to the highest standards
- Adept with basic formatting, eye for detail, thorough research and analysis
- Proactive, responsible, hard-working, and diligent
- Ability to meet deadlines
- Portfolio of work- published articles will be preferred










