Social Media Marketer

Important:

Apply only if you are available for a face-to-face interview on 24th July (first half).

Key Responsibilities:

• Manage and support LAN/WAN infrastructure including routers, switches, firewalls, and load balancers.
• Monitor and ensure network performance, uptime, and reliability.
• Troubleshoot network issues and outages effectively.
• Implement and manage network security tools, policies, and procedures.
• Maintain detailed documentation of configurations and network processes.

Skills & Qualifications:

• Strong hands-on experience with Cisco, Juniper, or similar network equipment.
• Familiarity with network monitoring tools (e.g., SolarWinds, Wireshark).
• Good understanding of firewalls, VPNs, and network protocols.
• CCNA or equivalent certification preferred.

Project Overview

Join an exciting early-stage project developing "Fenrir Security" - an innovative autonomous security testing platform. We're building an Electron-based desktop application that leverages AI to automate security testing processes. This is a contract position with potential for long-term engagement as the product evolves.

Contract Details

• Duration: Initial 4-month contract with possibility of extension
• Work Arrangement: Remote with regular online collaboration
• Compensation: Competitive rates based on experience (₹80,000-₹1,50,000 monthly)
• Hours: Flexible, approximately 40 hours weekly

Role & Responsibilities

• Design and develop a cross-platform Electron application from scratch
• Implement both frontend UI components and backend functionality
• Create integration points for the autonomous testing engine
• Build secure communication protocols between application components
• Develop data visualization components for security testing results
• Implement application packaging and distribution mechanisms
• Work collaboratively with AI/ML specialist and security expert
• Deliver working application builds at regular milestones
• Participate in technical planning and architecture decisions

Skills & Experience

• 3+ years experience building production applications
• Strong proficiency with Electron framework development
• Expertise in JavaScript/TypeScript, HTML/CSS, and Node.js
• Experience with modern frontend frameworks (React preferred)
• Working knowledge of desktop application development challenges
• Familiarity with security tools and applications (preferred)
• Ability to work independently with minimal supervision
• Strong problem-solving abilities and communication skills

Why Join Us

• Work with cutting-edge technologies at the intersection of AI and cybersecurity
• Flexible working arrangements and competitive compensation
• Opportunity to shape a product from its foundation
• Potential for equity or profit-sharing in future funding rounds
• Build portfolio-worthy work in an innovative security product

Selection Process

1. Initial screening call
2. Technical assessment (paid task)
3. Final interview with founder

Responsibilities include: 

• Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
• Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
• Build data ingestion and data transformation infrastructure
• Automate infrastructure that the data science team uses
• Perform statistical analysis and tune the results so that the organization can make better-informed decisions
• Set up and manage AI development and product infrastructure
• Be a good team player, as coordinating with others is a must

Job role:

As a data analyst, you will be responsible for compiling actionable insights from data and assisting program, sales and marketing managers build data-driven processes. Your role will involve driving initiatives to optimize for operational excellence and revenue.

Responsibilities:

• Ensure that data flows smoothly from source to destination so that it can be processed
• Utilize strong database skills to work with large, complex data sets to extract insights
• Filter and cleanse unstructured (or ambiguous) data into usable data sets that can be analyzed to extract insights and improve business processes
• Identify new internal and external data sources to support analytics initiatives and work with appropriate partners to absorb the data into new or existing data infrastructure
• Build tools for automating repetitive asks so that bandwidth can be freed for analytics
• Collaborate with program managers and business analysts  to help them come up with actionable, high-impact insights across product lines and functions
• Work closely with top management to prioritize information and analytic needs

Requirements:

• Excel
• Scrapping
• Medium Communication Skill (Spoken and written)
• SaaS industries knowledge
• Add Product
• Check Dodontdo
• Scrapping
• Work on Support Tickets (Resolve customers issue)

Intuitive is the fastest growing top-tier Cloud Solutions and Services company supporting Global Enterprise Customer across Americas, Europe, and Middle East.

Intuitive is looking for highly talented hands-on Cloud Infrastructure Architects to help accelerate our growing Professional Services consulting Cloud & DevOps practice. This is an excellent opportunity to join Intuitive’ s global world class technology teams, working with some of the best and brightest engineers while also developing your skills and furthering your career working with some of the largest customersIntuitive is the fastest growing top-tier Cloud Solutions and Services company.

Job Description                                                                                                                                                                                                                                                 

• Experience in Forcepoint Proxy infrastructure with SSL inspection Experience in Cloud Proxy infrastructure Experience in Forcepoint DLP or any DLP tools knowledge of various security compliance requirements.
• Knowledge in different types of VPN , encryption standards, Certificates
• Knowledge in SIEM tools ( Alien vault / Qradar)
• Understanding of networking and core Internet protocols (e.g. TCP/IP, DNS, SMTP, HTTP, and distributed networks). Understanding of Cloud security Understanding of SSO and different authentication methodologies
• Should have hands-on knowledge on Forcepoint version upgrade

Job Summary:

We are seeking a highly skilled Enterprise Architect with expertise in Artificial Intelligence (AI), Microservices, and a background in insurance and healthcare to lead our organization's AI strategy, design AI solutions, and ensure alignment with business objectives. The ideal candidate will have a deep understanding of AI technologies, data analytics, cloud computing, software architecture, microservices, as well as experience in the insurance and healthcare sectors. They should be able to translate these concepts into practical solutions that drive innovation and efficiency within our enterprise. Additionally, this role will involve setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions.

Responsibilities:

AI Strategy Development:

• Collaborate with senior management to define and refine the AI strategy that aligns with the organization's goals and objectives.
• Identify opportunities to leverage AI and machine learning technologies to enhance business processes and create value.

Solution Design:

• Architect AI-driven solutions that meet business requirements, ensuring scalability, reliability, and security.
• Collaborate with cross-functional teams to define system architecture and design principles for AI applications and microservices.
• Evaluate and select appropriate AI technologies, microservices architectures, and frameworks for specific projects.

Data Management:

• Oversee data strategy, including data acquisition, preparation, and governance, to support AI and microservices initiatives.
• Design data pipelines and workflows to ensure high-quality, accessible data for AI models and microservices.

AI Model Development:

• Lead the development and deployment of AI and machine learning models.
• Implement best practices for model training, testing, and validation.
• Monitor and optimize model performance to ensure accuracy and efficiency.

Microservices Architecture:

• Define and implement microservices architecture patterns and best practices.
• Ensure that microservices are designed for scalability, flexibility, and resilience.
• Collaborate with development teams to build and deploy microservices-based applications.

Monitoring Systems:

• Set up monitoring systems for AI and microservices solutions to ensure performance, reliability, and security.
• Implement proactive alerting and reporting mechanisms to identify and address issues promptly.

Integration and Deployment:

• Work with IT teams to integrate AI solutions and microservices into existing systems and applications.
• Ensure seamless deployment and monitoring of AI and microservices solutions in production environments.

Compliance and Security:

• Ensure that AI solutions, microservices, and monitoring systems comply with relevant regulations and data privacy standards.
• Implement security measures to protect AI models, data, and microservices.

Stakeholder Communication:

• Collaborate with business stakeholders to gather requirements and provide regular updates on AI and microservices project progress.
• Translate technical concepts into non-technical language for various audiences.

Research and Innovation:

• Stay up-to-date with emerging AI, microservices, and cloud computing trends, technologies, and best practices.
• Identify opportunities for innovation and propose new AI and microservices initiatives to drive business growth.

Requirements:

• Bachelor's or Masters degree in computer science, Data Science, or a related field.
• Proven experience (X+ years) as an Enterprise Architect with a focus on AI, Microservices, and machine learning.
• Strong knowledge of AI technologies, including deep learning, natural language processing, computer vision, and reinforcement learning.
• Proficiency in data analytics, cloud computing platforms (e.g., AWS, Azure, GCP), big data technologies, and microservices architecture.
• Experience with AI model development, deployment, and monitoring, as well as microservices design and implementation.
• Excellent communication and interpersonal skills.
• Ability to lead cross-functional teams and drive innovation.
• Strong problem-solving and critical-thinking abilities.
• Knowledge of regulatory requirements and data privacy standards related to AI and microservices.

Preferred Qualifications:

• AI-related certifications (e.g., AWS Certified Machine Learning – Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Experience in industries such as insurance and healthcare, with a deep understanding of their specific challenges and requirements.
• Previous experience with enterprise architecture frameworks (e.g., TOGAF).

This Enterprise Architect with AI, Microservices, Insurance, and Healthcare Experience role offers an exciting opportunity to shape the AI strategy, microservices architecture, and drive innovation within our organization, particularly in the insurance and healthcare sectors. Additionally, you will play a key role in setting up monitoring systems to ensure the performance and reliability of our AI and microservices solutions. If you have a passion for AI, microservices, and a strong background in these industries, we encourage you to apply and be part of our dynamic team.

-          Strong programming skills in JavaScript

-          Experience with ReactJS

-          Experience with frontend frameworks like bootstrap, Jquery

-          Object Oriented concepts

-          Good knowledge in HTML5, CSS, CSS3

-          Experience in working with RESTful APIS

-          Experience with HTTP, HTTPS and WebSockets

-          Building responsive design

-          Knowledge in version control- Git, Subversion

-          Good problem-solving skills 

Responsibilities

1. Collaborate with teammates to define, design, and shape new features.

2. Design and develop backend API microservices using Node.js.

3. Design and develop applications in an AWS and GCP environment.

4. Design and implement low-latency, high-availability, and performant applications.

5. Write reusable, testable, and efficient code.

6. Troubleshoot, debug, and upgrade the software.

Requirements

1. Solid experience in Node.js.

2. Good experience using frameworks such as Express.JS or Restify.

3. Willing to learn HapiJS.

4. Hands-on experience with JavaScript Development.

5. Able to work independently and carry out a task to achieve the design goal with minimal supervision.

6. Good programming skills and communications.