Telesales Executive

We’re looking for an experienced AI Developer to join our team and drive the design, development, and deployment of advanced computer-vision and LLM-based solutions. You’ll build real-time object detection & tracking pipelines (LLM, YOLOv8/11), develop face-recognition models on video feeds with LLM support, and manage GPU-powered server infrastructure end-to-end.

Key Responsibilities

• Model Development & Optimization
• Design, train, and fine-tune LLMs, YOLOv8/11 models for multi-class object detection.
• Implement face-recognition pipelines leveraging state-of-the-art LLMs and embedding techniques.
• Optimize inference speed and accuracy for real-time video processing on GPUs.
• Video Analytics & Tracking
• Develop multi-camera object-tracking algorithms across disparate video sources.
• Integrate OpenCV, DeepSORT (or similar), and custom tracking logic for robust performance.
• Infrastructure & Deployment
• Provision and maintain Linux servers with SSH, Docker, and GPU drivers (NVIDIA CUDA/cuDNN).
• Automate CI/CD pipelines for model training, evaluation, and deployment.
• Monitor GPU utilization, troubleshoot performance bottlenecks, and ensure high availability.
• Collaboration & Documentation
• Work closely with product managers, data engineers, and front-end teams to integrate AI services via REST/gRPC APIs.
• Write clear technical documentation, API specs, and best-practice guides.

Required Qualifications

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field.
• 2-3+ years hands-on experience with:
• YOLOv8 or YOLOv11 (training, inference, transfer learning)
• Face recognition frameworks (InsightFace, FaceNet, ArcFace) and LLM embeddings (e.g., Hugging Face Transformers)
• Python ecosystem: PyTorch/TensorFlow, OpenCV, NumPy, scikit-learn
• Strong Linux skills: server provisioning, SSH, shell scripting.
• Proficiency in managing GPU servers (NVIDIA CUDA, Docker GPU containers)
• Experience deploying models in production (AWS/GCP/Azure or on-prem clusters).

Preferred Qualifications

• Familiarity with video-streaming protocols (RTSP/WebRTC).
• Knowledge of microservices architecture and API gateways.
• Exposure to MLOps platforms (MLflow, Kubeflow).
• Strong debugging, profiling, and performance-tuning abilities.

About the Role

We are seeking a highly skilled Senior AI/ML Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, building, and deploying machine learning models and AI solutions to solve real-world business challenges. You will collaborate with cross-functional teams to create and integrate AI/ML models into end-to-end applications, ensuring models are accessible through APIs or product interfaces for real-time usage.

Responsibilities

• Lead the design, development, and deployment of machine learning models for various use cases such as recommendation systems, computer vision, natural language processing (NLP), and predictive analytics.

• Work with large datasets to build, train, and optimize models using techniques such as classification, regression, clustering, and neural networks.

• Fine-tune pre-trained models and develop custom models based on specific business needs.

• Collaborate with data engineers to build scalable data pipelines and ensure the smooth integration of models into production.

• Collaborate with frontend/backend engineers to build AI-driven features into products or platforms.

• Build proof-of-concept or production-grade AI applications and tools with intuitive UIs or workflows.

• Ensure scalability and performance of deployed AI solutions within the full application stack.

• Implement model monitoring and maintenance strategies to ensure performance, accuracy, and continuous improvement of deployed models.

• Design and implement APIs or services that expose machine learning models to frontend or other systems

• Utilize cloud platforms (AWS, GCP, Azure) to deploy, manage, and scale AI/ML solutions.

• Stay up-to-date with the latest advancements in AI/ML research, and apply innovative techniques to improve existing systems.

• Communicate effectively with stakeholders to understand business requirements and translate them into AI/ML-driven solutions.

• Document processes, methodologies, and results for future reference and reproducibility.

Required Skills & Qualifications

• Experience: 3-5+ years of experience in AI/ML engineering roles, with a proven track record of successfully delivering machine learning projects.

• AI/ML Expertise: Strong knowledge of machine learning algorithms (supervised, unsupervised, reinforcement learning) and AI techniques, including NLP, computer vision, and recommendation systems.

• Programming Languages: Proficient in Python and relevant ML libraries such as TensorFlow, PyTorch, Scikit-learn, and Keras.

• Data Manipulation: Experience with data manipulation libraries such as Pandas, NumPy, and SQL for managing and processing large datasets.

• Model Development: Expertise in building, training, deploying, and fine-tuning machine learning models in production environments.

• Cloud Platforms: Experience with cloud platforms such as AWS, GCP, or Azure for the deployment and scaling of AI/ML models.

• MLOps: Knowledge of MLOps practices for model versioning, automation, and monitoring.

• Data Preprocessing: Proficient in data cleaning, feature engineering, and preparing datasets for model training.

• Strong experience building and deploying end-to-end AI-powered applications— not just models but full system integration.

• Hands-on experience with Flask, FastAPI, Django, or similar for building REST APIs for model serving.

• Understanding of system design and software architecture for integrating AI into production environments.

• Experience with frontend/backend integration (basic React/Next.js knowledge is a plus).

• Demonstrated projects where AI models were part of deployed user-facing applications.

• NLP & Computer Vision: Hands-on experience with natural language processing or computer vision projects.

• Big Data: Familiarity with big data tools and frameworks (e.g., Apache Spark, Hadoop) is an advantage.

• Problem-Solving Skills: Strong analytical and problem-solving abilities, with a focus on delivering practical AI/ML solutions.

Nice to Have

• Experience with deep learning architectures (CNNs, RNNs, GANs, etc.) and techniques.

• Knowledge of deployment strategies for AI models using APIs, Docker, or Kubernetes.

• Experience building full-stack applications powered by AI (e.g., chatbots, recommendation dashboards, AI assistants, etc.).

• Experience deploying AI/ML models in real-time environments using API gateways, microservices, or orchestration tools like Docker and Kubernetes.

• Solid understanding of statistics and probability.

• Experience working in Agile development environments.

What You'll Gain

• Be part of a forward-thinking team working on cutting-edge AI/ML technologies.

• Collaborate with a diverse, highly skilled team in a fast-paced environment.

• Opportunity to work on impactful projects with real-world applications.

• Competitive salary and career growth opportunities

Senior Data Analyst

Experience: 8+ Years

Work Mode: Remote Full Time

Responsibilities:

• Analyze large datasets to uncover trends, patterns, and insights to support business goals.

• Design, develop, and manage interactive dashboards and reports using Power BI.

• Utilize DAX and SQL for advanced data querying and data modeling.

• Create and manage complex SQL queries for data extraction, transformation, and loading processes.

• Collaborate with cross-functional teams to understand data requirements and translate them into actionable solutions.

• Maintain data accuracy and integrity across projects, ensuring reliable data-driven insights.

• Present findings to stakeholders, translating complex data insights into simple, actionable business recommendations.

Skills:

Power BI, DAX (Data Analysis Expressions), SQL, Data Modeling, Python

Preferred Skills:

• Machine Learning: Exposure to machine learning models and their integration within analytical solutions.

• Microsoft Fabric: Familiarity with Microsoft Fabric for enhanced data integration and management.

Flutter Mobile App Developer

Experience Level: 1+ Years

Job Description:

We are seeking a talented Flutter Mobile App Developer with 1+ years of experience in Android mobile app development. If you are passionate about Flutter and possess the skills and knowledge outlined below, we encourage you to apply and be part of our innovative team.

Responsibilities:

• Develop and maintain mobile applications using Flutter.
• Showcase proficiency in Flutter development.
• Implement the MVVM architectural pattern to ensure clean and scalable code.
• Work with API and local data to deliver robust app functionality.
• Stay updated on all the latest Flutter widgets and their usage.
• Apply BLOC design patterns for efficient state management.
• Understand the Flutter app lifecycle and its intricacies.
• Familiarity with cloud messaging APIs and push notifications for both Android and iOS.
• Have experience in successfully submitting Android apps to the Google Play Store.
• Have experience in iOS app submission in the Apple App Store.
• Ensure the performance, quality, and responsiveness of mobile applications.

We are looking for a Customer Care Specialist who will be entrusted the following responsibilities

*Handle Customers Inbound And Outbound Calls.

* Solving day to day queries of parents and school admin .

* Explaining them About Products / Offers / Services as and when required

*Creating social media posts/contents and will be an integral part of the Digital Marketing team

Will be posted in a premiere school in Gurgaon who happens to be our client.

Qualifications : Graduate

Excellent English communication skills Verbal and Written

Job Description- React Developer

● Requirements-
● Experience: 2+
Having knowledge of React JS. Having knowledge of Node JS Having Knowledge of HTML,
CSS, and JavaScript. Knowledge of web services integration and writing. Need to have strong
R&D power Knowledge of GitHub and Jira. A bit of knowledge of code building and docker
activity.

Profile- NodeJs Developers
Overall Experience- 2+ Years minimum
Pure Node.js Experience- At 1 Years
● Required Skills:- A person who is superb in node.js first and foremost. Needs to understand
the intricacies of promises and the asynchronous programming paradigm.
● A close second is experience in Graphql. Understanding Queries, Mutations and Apollo.
● Tertiary is DynamoDb and Mysql Being able to pick up a non-standard ORM and being able to
program against it.
● Developers must have experience with AWS, and preferably AppSync, Serverless Framework,
Lambdas, Codebuild and Codepipeline
● Experience building Automated Testing Frameworks using selenium, phantomjs, etc. is
preferred