Project Manager - Tech

Required Skills:

· 8+ years of being a practitioner in data engineering or a related field.

· Proficiency in programming skills in Python

· Experience with data processing frameworks like Apache Spark or Hadoop.

· Experience working on Databricks.

· Familiarity with cloud platforms (AWS, Azure) and their data services.

· Experience with data warehousing concepts and technologies.

· Experience with message queues and streaming platforms (e.g., Kafka).

· Excellent communication and collaboration skills.

· Ability to work independently and as part of a geographically distributed team.

Responsibilities • Design, develop, and maintain backend systems and RESTful APIs using Python (Django, FastAPI, or Flask)• Build real-time communication features using WebSockets, SSE, and async IO • Implement event-driven architectures using messaging systems like Kafka, RabbitMQ, Redis Streams, or NATS • Develop and maintain microservices that interact over messaging and streaming protocols • Ensure high scalability and availability of backend services • Collaborate with frontend developers, DevOps engineers, and product managers to deliver end-to-end solutions • Write clean, maintainable code with unit/integration tests • Lead technical discussions, review code, and mentor junior engineers

Requirements • 8+ years of backend development experience, with at least 8 years in Python • Strong experience with asynchronous programming in Python (e.g., asyncio, aiohttp, FastAPI) • Production experience with WebSockets and Server-Sent Events • Hands-on experience with at least one messaging system: Kafka, RabbitMQ, Redis Pub/Sub, or similar • Proficient in RESTful API design and microservices architecture • Solid experience with relational and NoSQL databases • Familiarity with Docker and container-based deployment • Strong understanding of API security, authentication, and performance optimization

Nice to Have • Experience with GraphQL or gRPC • Familiarity with stream processing frameworks (e.g., Apache Flink, Spark Streaming) • Cloud experience (AWS, GCP, Azure), particularly with managed messaging or pub/sub services • Knowledge of CI/CD and infrastructure as code • Exposure to AI engineering workflows and tools • Interest or experience in building Agentic AI systems or integrating backends with AI agents

Role Overview

We are seeking a highly skilled and experienced Senior AI Engineer with deep expertise in computer vision and architectural design. The ideal candidate will lead the development of robust, scalable AI systems, drive architectural decisions, and contribute significantly to the deployment of real-time video analytics, multi-model systems, and intelligent automation

solutions.

Key Responsibilities

 Design and lead the architecture of complex AI systems in the domain of computer vision and real-time inference.

 Build and deploy models for object detection, image segmentation, classification, and tracking.

 Mentor and guide junior engineers on deep learning best practices and scalable software engineering.

 Drive end-to-end ML pipelines: from data ingestion and augmentation to training, deployment, and monitoring.

 Work with YOLO-based and transformer-based models for industrial use-cases.

 Lead integration of AI systems into production with hardware, backend, and DevOps teams.

 Develop automated benchmarking, annotation, and evaluation tools.

 Ensure maintainability, scalability, and reproducibility of models through version control, CI/CD, and containerization.

Required Skills

 Advanced proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).

 Strong experience with YOLO, segmentation networks (UNet, Mask R-CNN), and

tracking (Deep SORT).

 Sound understanding of real-time video analytics and inference optimization.

 Hands-on experience designing model pipelines using Docker, Git, MLflow, or similar tools.

 Familiarity with OpenCV, NumPy, and image processing techniques.

 Proficiency in deploying models on Linux systems with GPU or edge devices (Jetson, Coral)

Good to Have

 Experience with multi-model orchestration, streaming inference (DeepStream), or virtual camera inputs.

 Exposure to production-level MLOps practices.

 Knowledge of cloud-based deployment on AWS, GCP, or DigitalOcean.

 Familiarity with synthetic data generation, augmentation libraries, and 3D modeling tools.

 Publications, patents, or open-source contributions in the AI/ML space.

Qualifications

 B.E./B.Tech/M.Tech in Computer Science, Electrical Engineering, or related field.

 4+ years of proven experience in AI/ML with a focus on computer vision and system- level design.

 Strong portfolio or demonstrable projects in production environments

• Knowledge of OO JavaScript
• 7.2. 10+ years hands-on experience with web development using
• HTML5, JavaScript (React, Preact.js, Redux, Redux, Vue.js,
• CSS3, SignalR, Socket.io)
• 7.3. Experience building responsive design layouts using a formal
• framework like Bootstrap and familiarity with best practices
• (web security concepts, ensuring browser & device
• compatibility, etc.)
• 7.4. Experience in creating secure pre-compiled script libraries.
• 7.5. Familiar with development and debugging tools for cross-
• browser issues
• 7.6. Experience integrating with RESTful APIs for server-side

About PlanetSpark:

PlanetSpark is on a mission to build the next generation of confident speakers and creative writers amongst kids and young adults. We are a Series B funded, global company impacting over 13 countries through live 1:1 personalized classes on Public Speaking and Creative Writing through handpicked top 1% teachers. Our kids participate in gripping debates, create viral YouTube videos, start their own podcast channels, perform stand-up comedy, write nail-biting mystery stories, and become confident and fearless speakers. PlanetSpark is on its journey to becoming the global leader in the large and untapped communication skills segment by 2024. We are backed by some top VCs such as Prime Venture Partners and global entrepreneurs such as Binny Bansal, Deep Kalra, Gokul Rajaram and Shirish Nandkarni. Come, join a passionate team of over 500 young and energetic team members and 3500+ expert teachers on this roller coaster ride to build the most loved brand for kids who will move the world!

Your Roles and Responsibilities:

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 BDT 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 INR. 21428. In-office attendance of 90% is mandatory in 1month of training

5. Post 1L Revenue achievement, you will be entitled for below

US/ Canada Shift (8:00 pm to 5:00am) - INR 7.23 LPA (4.83 Fixed + 2.4 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 6 days in a week in a fast paced startup

2. Ready to work from Office and join immediately.

What are the behavioral attributes that we are looking for?

- A keen desire to bring growth for a fast-growing Series B funded startup

- An apparent Founder's mindset

- The candidates should be able to work in a high paced ever-changing digital environment. The role will require you to be resourceful, proactive and an expert communicator. In turn it offers immense learning and growth.