Threat Intelligence/ Threat Hunting

📢 Job Title: VIP Product Counsellor – Domestic Telesales

📍 Location: Sakinaka, Andheri East, Mumbai – 400072

💼 Role Overview:

We are hiring energetic and passionate Telesales professionals to join our VIP India team. As a VIP Product Counsellor, you’ll be responsible for connecting with potential customers, explaining our premium services, and converting leads into paid memberships.

This is a walk-in opportunity with on-the-spot interviews and offers!

🔍 Key Responsibilities:

• Make outbound calls to potential customers and convert leads into subscriptions.
• Build rapport and maintain strong customer relationships.
• Achieve sales targets and maximize revenue through consultative selling.
• Maintain accurate records of interactions using CRM tools.

🎯 Candidate Requirements:

• Minimum Experience: 6+ months in Telesales / Collections / Voice Process (BPO preferred).
• Language Proficiency: Basic English + any regional language:
• Punjabi, Tamil, Telugu, Kannada, Bengali, Gujarati, Malayalam
• Strong communication and persuasion skills.
• Confidence in phone-based conversations and objection handling.

💰 Compensation & Benefits:

• Salary: ₹25,000 – ₹30,000 In-Hand
• Linguistic Role: Up to ₹35,000 In-Hand
• Incentives: Unlimited performance-based incentives
• Work Schedule: 10:00 AM – 7:00 PM (1 rotational weekly off)

✅ Perks:

• Spot Offers (2 Rounds of Interview on the Same Day)
• Excellent incentives & recognition structure
• Growth-oriented career path in one of India’s leading matchmaking platforms
• Professional work environment at a reputed brand

Duties

About Us:

We are a UK-based conveyancing firm dedicated to transforming property transactions through cutting-edge artificial intelligence. We are seeking a talented Machine Learning Engineer with 1–2 years of experience to join our growing AI team. This role offers a unique opportunity to work on scalable ML systems and Generative AI applications in a dynamic and impactful environment.

Responsibilities:

Design, Build, and Deploy Scalable ML Models

You will be responsible for end-to-end development of machine learning and deep learning models that can be scaled to handle real-world data and use cases. This includes training, testing, validating, and deploying models efficiently in production environments.

Develop NLP-Based Automation Solutions

You'll create natural language processing pipelines that automate tasks such as document understanding, text classification, and summarisation, enabling intelligent handling of property-related documents.

Prototype and Implement Generative AI Tools

Work closely with AI researchers and developers to experiment with and implement Generative AI techniques for tasks like content generation, intelligent suggestions, and workflow automation.

Integrate ML Models with APIs and Tools

Integrate machine learning models with external APIs and internal systems to support business operations and enhance customer service workflows.

Maintain CI/CD for ML Features

Collaborate with DevOps teams to manage CI/CD pipelines that automate testing, validation, and deployment of ML features and updates.

Review, Debug, and Optimise Models

Participate in thorough code reviews and model debugging sessions. Continuously monitor and fine-tune deployed models to improve their performance and reliability.

Cross-Team Communication

Communicate technical concepts effectively across teams, translating complex ML ideas into actionable business value.

·      Design, build, and deploy scalable ML and deep learning models for real-world applications.

·      Develop NLP-based and Gen AI based solutions for automating document understanding, classification, and summarisation.

·      Collaborate with AI researchers and developers to prototype and implement Generative AI tools.

·      Integrate ML and Gen AI models with APIs and internal tools to support business operations.

·      Work with CI/CD pipelines to ensure continuous delivery of ML features and updates.

·      Participate in code reviews, debugging, and performance optimisation of deployed models.

·      Communicate technical concepts effectively across cross-functional teams.

Essentials From Day 1:

Security and Compliance:

         • Ensure ML systems are built with GDPR compliance in mind.

         • Adhere to RBAC policies and maintain secure handling of personal and property         data.

Sandboxing and Risk Management:

         • Use sandboxed environments for testing new ML features.

         • Conduct basic risk analysis for model performance and data bias.

         • Use sandboxed environments for testing and development.

         • Evaluate and mitigate potential risks in model behavior and data pipelines

Qualifications:

·      1–2 years of professional experience in Machine Learning and Deep Learning projects.

·      Proficient in Python, Object-Oriented Programming (OOPs), and Data Structures & Algorithms (DSA).

·      Strong understanding of NLP and its real-world applications.

·      Exposure to building scalable ML systems and deploying models into production.

·      Basic working knowledge of Generative AI techniques and frameworks.

·      Familiarity with CI/CD tools and experience with API-based integration.

·      Excellent analytical thinking and debugging capabilities.

·      Strong interpersonal and communication skills for effective team collaboration.

• Minimum of 2 years of hands-on experience in .NET development, using C#, ASP.NET, and related technologies.
• Strong knowledge of object-oriented programming concepts and design patterns.
• Proficiency in developing web applications using ASP.NET MVC or ASP.NET Core.
• Experience with front-end technologies such as HTML, CSS, and JavaScript and frameworks like Angular or React.
• Solid understanding of relational databases and SQL, with experience in database design and optimization.
• Familiarity with version control systems (e.g., Git) and agile development methodologies.
• Travel to client office if required.
• Hands on experience in AWS

As a Manager in our Performance Marketing team, you will be responsible for driving growth of APAC & North America regions through digital marketing. This team is a key driver of growth for Headout and is responsible for acquiring customers and generating demand for our vast collection of experiences and destinations. This is a key role for our overall company growth and profitability. 

As Performance Marketing Manager, you will: 

1. 1. Manage all paid user acquisition channels for APAC & North America. This includes: Responsible to deliver ROI & GBV targets for your regions and growing these each quarter
2. Actively manage and grow SEM campaigns for new and existing categories &  markets
3. Identify opportunities to scale existing channels of user acquisiton including SEM, OLA and Facebook d. Develop new channels of user acquisition to drive new growth and diversify channel-mix 
4. Improve the efficiency of the team through process improvements, decision making frameworks and automation 
5. Improve reporting and data analysis to uncover new opportunities or Coordinate with other teams such as product, data, operations & supply to participate in & lead company-wide growth projects by leveraging various levers like: 

• Identifying new market opportunities 
• Product enhancements 
• Pricing strategy 
• Competitive benchmarking 
• Building stronger engagement loops and cross-channel campaign strategies 

What we're looking for: 

• 4+ years of experience in managing SEM campaigns at scale 
• 2+ years of experience in managing a team 
• Detail-oriented and analytical 
• Strong learning curve 
• Data-driven decision making 
• Able to effectively organize, prioritize & manage their time 
• Experience with Automations is a big plus 

-          Experience of Core Java, REST-API and Micro-Services development,

-          Experience of Spring boot framework

-          Strong Object-oriented concepts, Design Patterns

-          Experience of SQL/NoSQL

-          Well versed with Cloud Development technologies and Microservices architecture.

-          CICD pipeline understanding, CICD tools such as Jenkin, Github etc.

-          Experience designing data flows e.g. streaming, batch processing, parallel  execution (Kafka, Kinesis, etc.)  

Required Experience : 2 to 6 Years

Technical Skillsets Required :

Job Description :

- Should have handson experience of more than 1+ years

- Good knowledge of NodeJS, ExpressJS or Restify

- Should have good knowledge of JavaScript.

- Experience implementing frontend using Angular 2+.

- Any database knowledge (SQL.Mongo or NoSQL)

- Basic understanding of version control using GIT

- TypeScript knowledge would be a plus

- Should have good logical skills.