: Growth & Partnership Executive (Digital Marketing)

Key Responsibilites

1. Administrave Support

 Manage calendars, schedule appointments, and coordinate meetings.

 Handle travel arrangements: flights, hotels, visas, transporation.

 Prepare agendas, minutes of meetings, and follow-up actions.

 Draft emails, letters, reports, and presentations.

 Maintain filing systems (digital and physical).

2. Communication & Coordination

 Act as a point of contact between the executive and internal/external stakeholders.

 Manage incoming calls, messages, and correspondence.

 Coordinate with different departments for updates, approvals, and deadlines.

3. Office & Task Management

 Track daily tasks, priorites, and deadlines for the executive.

 Support in planning events, meetings, conferences.

 Handle expense reports, reimbursements, and vendor coordina on.

 Ensure the executive’s office is organized and functioning efficiently.

4. Project & Follow-up Support

 Monitor ongoing projects, deadlines, and deliverables.

 Conduct research and prepare summaries or briefings.

 Assist in data collec on, documentation, and presentations for meetings.

5. Confidential Support

 Maintain strict confidenality of sensitive information.

 Handle personal tasks when required (top zonal based on role requirement).

Required Skills & Qualifications

 Bachelor’s degree in any discipline.

 2–5+ years of experience as an Executive Assistant or similar role.

 Strong verbal and written communication skills.

 Proficiency in MS Office

 Excellent me management and organizational abilities.

 Ability to multi task, work under pressure, and prioritize effectively.

 Professional appearance and behaviour.

 High level of discretion and integrity.

Preferred Skills

 Knowledge of office management systems.

 Experience in working with senior executives or in fast-paced environments.

 Strong problem-solving and decision-making skills.

Work Environment

 Office-based role (with occasional travel if required).

 Availability beyond office hours when necessary for urgent tasks.

SA Role Summary:

The Solutions Architect is responsible for designing and leading the implementation of technology solutions that align with the organization's business goals and technology standards. This role involves working closely with both technical teams and business stakeholders to translate business requirements into robust, scalable, and secure technology solutions.

Key Responsibilities:

Solution Design and Architecture:

●      Develop and maintain a comprehensive understanding of the business processes and technology landscape.

●      Design holistic technology solutions that address business challenges and opportunities, integrating with existing systems and technologies where necessary.

●      Define and document architectural designs, including system components, functionalities, interfaces, and data flows.

●      Taking into account all pillars of the Well-Architected Framework (WAF) on AWS - including Scalability, Resiliency

●      Identifying reusable components in a project and working with the Backend team to generalize those components.

●      Amazon Web Services (AWS) Certification (Preferred)

Technical Leadership and Guidance:

●      Provide technical leadership and guidance to development teams throughout the implementation phase, ensuring adherence to architectural principles and best practices.

●      Evaluate and recommend technologies and tools for the effective development and management of solutions.

●      Ensure the implemented solution is in compliance with the designed architecture. Deviation from the architecture must be evaluated and agreed upon.

Stakeholder Engagement and Communication:

●      Collaborate with business stakeholders to understand their requirements and translate them into technical specifications.

●      Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

●      Act as a liaison between technical teams and business units, facilitating understanding and alignment on project objectives and deliverables.

Project and Risk Management:

●      Participate in project planning activities, including resource allocation, timeline estimation, and risk assessment.

●      Identify potential technical and project risks and develop mitigation strategies.

Quality Assurance and Best Practices:

●      Ensure solutions are designed and implemented to high-quality standards, including performance, security, and scalability considerations.

●      Advocate for and ensure adherence to software development best practices, including code reviews, continuous integration, and automated testing.

Continuous Learning and Improvement:

●      Stay abreast of emerging technologies and industry trends, evaluating their applicability to organizational needs.

●      Promote a culture of continuous improvement, encouraging innovation and efficiency improvements in technology practices.

About TensorIoT

TensorIoT is an AWS Advanced Consulting Partner. We help companies realize the value and efficiency of the AWS ecosystem. From building PoCs and MVPs to production-ready applications, we are tackling complex business problems every day and developing solutions to drive customer success.

TensorIoT's founders helped build world-class IoT and AI platforms at AWS and Google and are now creating solutions to simplify the way enterprises incorporate edge devices and their data into their day-to-day operations. Our mission is to help connect devices and make them intelligent. Our founders firmly believe in the transformative potential of smarter devices to enhance our quality of life, and we're just getting started!

TensorIoT is proud to be an equal opportunity employer. This means that we are committed to diversity and inclusion and encourage people from all backgrounds to apply. We do not tolerate discrimination or harassment of any kind and make our hiring decisions based solely on qualifications, merit, and business needs at the time.

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.

• Proven software development experience
• Proven working experience in Android
• Strong Java OOPs concepts and design patterns understanding 
• Hands-on experience on Kotlin.
• Good understanding of C and data structures, JavaScript
• Must have a good understanding of React Native or Cordova
• Strong knowledge of Android SDK, different versions of Android, and how to deal with different screen sizes
• Have published at least one app in the Store.
• Experience in writing SDK frameworks
• Experience working with remote data via REST and JSON
• Strong knowledge of Android UI design principles, patterns, and best practices
• Experience with third-party libraries and APIs
• Knowledge of JNI, security algorithms
• Experience with offline storage, threading, and performance tuning
• Ability to design applications around natural user interfaces
• Knowledge of the open-source Android/iOS ecosystem and the libraries available for common tasks
• Must be proficient in code versioning tools such as Git, SVN
• Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies Solid understanding of the mobile development life cycle
• Good to have: Experience in working on cross-platform such as Flutter, Kony.

Job Description

• Understanding of real estate market
• Designing and implementing of sales strategies for targeted revenue.
• Meetings prospective customers to present project & following up the sales
• Product knowledge by market research for better deliverable
• Achieve Sales targets for all Residential & Commercial Projects
• Respond to customer and broker queries and complaints Timely
• Identify potential customers, engage with them on a regular basis to convert the lead
• Direct Sales & Channel Sales
• Should have good and relevant experience in Sales.
• Good Communication Skills.        

JD for Below position-

Preferred Technical Expertise-

1. Expertise in front end web application development
2. Solid Understanding of Javascript, JQuery.
3. Experience in HTML, CSS and Bootstrap library is required.
4. Experience with Django Framework.
5. Experience with source code versioning tools such as GIT, Bitbucket etc.

Secondary Skills/Good to have Skills:

1. Experience in developing REST API is a plus.
2. Experience in Python Programming is a plus.
3. Experience in Pandas and Numpy Libraries is a plus.
4. Experience with SQL is a plus.
5. Experience with any cloud platform ( GCP is a plus )