REAL ESTATE SALES EXECUTIVE

Overview:

We are looking for a skilled Video Editor who will be responsible for creating captivating videos for our apps, developing eye-catching ad creatives for Instagram and other social media platforms, and editing engaging YouTube Shorts reels. The ideal candidate will have a keen eye for detail, a passion for storytelling, and the ability to work in a fast-paced environment.

Key Responsibilities:

• Create and edit high-quality videos for our apps, ensuring they align with the brand's vision and standards.
• Develop compelling ad creatives for Instagram, Facebook, and other social media platforms.
• Edit YouTube Shorts and reels, ensuring they are engaging and optimized for the platform.
• Collaborate with the creative team to brainstorm and develop innovative video content ideas.
• Maintain a consistent brand voice and visual style across all video content.
• Stay updated on the latest trends in video editing and social media to ensure content remains relevant and engaging.
• Understanding of social media marketing and advertising strategies.
• Manage multiple projects simultaneously, meeting deadlines and maintaining high-quality standards.
• Use video editing software such as Adobe Premiere Pro, Final Cut Pro, or similar tools to produce professional-grade videos.
• Incorporate feedback from the team to make necessary adjustments and improvements to the videos.

Qualifications:

• Proven experience as a Video Editor, with a strong portfolio showcasing your work.
• Proficiency in video editing software such as Adobe Premiere Pro, Final Cut Pro, After Effects, or similar tools.
• Familiarity with graphic design software such as Adobe Photoshop or Illustrator.
• Knowledge of color grading and audio editing.
• Strong understanding of video formats, codecs, and compression techniques.
• Experience creating video content for social media platforms like Instagram and YouTube.
• Ability to work independently and as part of a team, managing time effectively and meeting deadlines.
• Strong attention to detail and commitment to delivering high-quality work.

🎓 Education & Skills

• Diploma / Graduate in Mechanical / Electrical Engineering

• 1–3 years of experience in service operations or site coordination

• Basic understanding of service workflows, job cards, and safety norms

• Proficient in emails, Excel, WhatsApp coordination, and basic CRM usage

• Strong coordination skills, problem-solving ability, and discipline

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🔧 Key Responsibilities

🧩 Job Planning & Execution

1. Receive approved Sales Orders (SO) / work instructions from AFS Commercial

2. Plan service execution schedules in coordination with clients

3. Deploy technicians as per job requirements and skill set

4. Ensure technicians report on time to site and start work as scheduled

5. Monitor daily job progress and site status

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🧑‍🔧 Technician & Site Coordination

1. Allocate manpower, tools, and consumables as required

2. Coordinate with stores for spares or material dispatch

3. Ensure technicians follow safety procedures and site protocols

4. Handle site-level issues and escalate when required

Strong Full stack/Backend engineer profile

Mandatory (Experience): Must have 2+ years of hands-on experience as a full stack developer (backend-heavy)

Mandatory (Backend Skills): Must have 1.5+ strong experience in Python, building REST APIs, and microservices-based architectures

Mandatory (Frontend Skills): Must have hands-on experience with modern frontend frameworks (React or Vue) and JavaScript, HTML, and CSS

Mandatory (Database Skills): Must have solid experience working with relational and NoSQL databases such as MySQL, MongoDB, and Redis

Mandatory (Cloud & Infra): Must have hands-on experience with AWS services including EC2, ELB, AutoScaling, S3, RDS, CloudFront, and SNS

Mandatory (DevOps & Infra): Must have working experience with Linux environments, Apache, CI/CD pipelines, and application monitoring

Mandatory (CS Fundamentals): Must have strong fundamentals in Data Structures, Algorithms, OS concepts, and system design

Mandatory (Company) : Product companies (B2B SaaS preferred)

Experience: 5-10 years experience

Location: Bangalore

Required Skills and Experience:

• 5-10 years of experience in front-end development, with a strong focus on React.js.
• Proven experience with React.js and related technologies (e.g., Redux, React Router, Hooks, Context API).
• Strong proficiency in JavaScript, HTML5, CSS3, and modern front-end build tools (e.g., Webpack, Babel, etc.).
• Hands-on experience with RESTful APIs, Server Sent Events, WebSockets
• Hand’s on experience with web components, microfrontends
• Deep understanding of browser apis like history, intersectionobserver, event handling, virtual panes, drag and drop etc
• Ability to work on a complex and fast moving code base.
• Familiarity with TypeScript and its integration with React applications.
• Strong problem-solving skills and attention to detail.

Location: HSR, Bangalore

Employment Type: Full-Time

Must Known Language: Kannada, Hindi and English

Role Overview:

We are looking for a full-time Admin who can focus on managing office facilities and ensuring smooth day-to-day operations.

Key Responsibilities:

• Handle all facility-related tasks such as plumbing, repairs, maintenance, and general upkeep.
• Coordinate with vendors, electricians, cleaners, and other service providers.
• Oversee office security and ensure smooth functioning on the ground.
• Support the receptionist only if needed (as a backup).

Working Days: Tuesday – Sunday (Monday off)

Preferred Candidate Profile:

• Experience: Prior experience in office administration, facility management, or a similar role.
• Skills: Strong organizational skills, vendor management, problem-solving, and the ability to handle day-to-day office operations independently.

Job Description:

The candidate should have an Engineering or BSc degree or/and relevant certifications from a reputable institute with 2-16 years of experience. He should be able to work independently and deliver results on schedule. He/She should have good team player skills to collaborate and lead, and share knowledge with others.

The candidate should be interested for a long term stable career to grow with our company and willing to work in 1 PM - 10 PM shift.

.          Should have delivered successful end-to-end development to deployment experience on Web applications and Api’sin last 3-6 years.

.           Must have good experience in Dot net core, MVC, C#, web api, Angular 2+ versions, HTML, CSS, OOPS.

• Experience in MySQL is a must and added advantage to have knowledge of NOSQL database.
• Extensive experience in writing rest full API
• Experience in using version controls such as GIT, Continuous Integration, Continuous Delivery
• Good to have experience in testing and debugging new programs using Firebug, Fiddler, Insomnia, and Postman Developer tools.
• Good in implementing the business rules in different layers like UI, services, and database.
• Should have 2-4 years’ experience in backend development
• Experience in service-based development using technologies such as Web API and RESTful services. 
• Proficient in S/W Development life cycle, Database Designing, and Database creation. 
• Proficient in writing clean, well-structured code with proper abstraction and reusability.

.         Ability to work to tight deadlines, manage priorities, and take responsibility for delivering to time and quality requirements.

.         Excellent Communication Skills

  Company Profile:

i2k2 Networks is a trusted name in the IT cloud hosting services industry. We help enterprises with cloud migration, cost optimization, support, and fully managed services which helps them to move faster and scale with lower IT costs. i2k2 Networks offers a complete range of cutting-edge solution that drives the Internet-powered business modules. We excel in:

  - Managed IT Services

  - Dedicated Web Servers Hosting

  - Cloud Solutions

  - Email Solutions

  - Enterprise Services

  - Round the clock Technical Support

i2k2 Networks Pvt Ltd.

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