Social Media Marketing

Role Summary

We are seeking dynamic and motivated individuals to join our Sales & Marketing team as Property Specialists. In this role, you will be the first point of contact for potential clients, creating a strong first impression and helping them navigate the buying and selling process. This position offers a mix of office and on-site work, giving you the opportunity to collaborate closely with the Sales team and support client visits.

Key Responsibilities

• Call and engage with a specific number of qualified leads per month for property buying and selling.
• Communicate with property owners to understand their requirements.
• Virtually showcase apartments to prospective buyers and assist the Sales team in closing deals.
• Maintain accurate and timely data entry in the CRM system.
• Generate dashboards and reports from CRM for stakeholders.
• Build and maintain a database of potential and current sellers/buyers.
• Coordinate with Operations team for home inspections.
• Explain and demonstrate property features to clients.
• Stay updated on competing products and services in the market.
• Work towards achieving monthly sales targets with the Sales and BD team.

What We’re Looking For

• 1–4 years of experience in a calling or customer-facing role (real estate experience preferred but not mandatory).
• Strong communication skills in English (knowledge of an additional Indian language is a plus).
• Organisational and multitasking skills with attention to detail.
• Enthusiasm to learn and adapt to CRM systems for reporting and record maintenance.
• Ability to thrive in a fast-paced, target-driven environment.
• Willingness to work on weekends (as they are peak days in real estate).
• Positive, collaborative, and motivated mindset.

Why Join Us?

• Exciting opportunity in a fast-growing real estate sector.
• Exposure to both office and on-site sales activities.
• Supportive work environment with learning opportunities.
• Cab service available for women employees post 7:30 PM.

Location: Shanti Nagar, Bangalore

Work Days: Either Tuesday to Sunday or Wednesday to Monday

Work Hours: 10:00 AM – 7:00 PM

Language Requirement: English communication is mandatory

Experience: Minimum 1+ years in a calling role

Cab Facility: Provided after 7:30 PM (for women only)

Our client is a Leading Indian consumer electronics start-up and is one of the fastest-growing start-ups. They have also emerged as the fifth largest wearable brand globally. They are super passionate about the impact that they are making in people’s lives and are looking for a fellow self-starter to join our ambitious bunch.

Responsibilities -

• Support analytics roadmap and strategy by ensuring that the landscape is mature, resilient, and flexible to meet the business requirements without deviating from the overall IT vision

• Collaborate with businesses to identify opportunities, and pain areas, incubate analytics product ideas and deliver analytics applications in a digital native manner

• Hold the analytics program together

• Manage the analytics vertical end to end from setting up a platform grounds (a data lake equivalent) and deliver business value through analytics for starters and gradually by bringing in intelligence in everything we do.

• Play a key role in transforming the company into an intelligent enterprise.

• Deliver analytics use cases that directly contributes to our top-line growth

• Be responsible for overall data hygiene, governance, monitoring of data pipelines and

continuously delivering business value through data

Requirements -

• 5 - 7 years experience in a similar role

• Bachelor’s degree in computer science/ analytics

• Master’s degree (business administration/equivalent) with a focus on Analytics, data science

• Good verbal and written communication skills

• Good networking skills

• Thrives in a dynamic, unstructured environment and transcends job boundaries and descriptions.

Role : Sr Data Scientist / Tech Lead – Data Science

Number of positions : 8

Responsibilities

• Lead a team of data scientists, machine learning engineers and big data specialists
• Be the main point of contact for the customers
• Lead data mining and collection procedures
• Ensure data quality and integrity
• Interpret and analyze data problems
• Conceive, plan and prioritize data projects
• Build analytic systems and predictive models
• Test performance of data-driven products
• Visualize data and create reports
• Experiment with new models and techniques
• Align data projects with organizational goals

Requirements (please read carefully)

• Very strong in statistics fundamentals. Not all data is Big Data. The candidate should be able to derive statistical insights from very few data points if required, using traditional statistical methods.
• Msc-Statistics/ Phd.Statistics
• Education – no bar, but preferably from a Statistics academic background (eg MSc-Stats, MSc-Econometrics etc), given the first point
• Strong expertise in Python (any other statistical languages/tools like R, SAS, SPSS etc are just optional, but Python is absolutely essential). If the person is very strong in Python, but has almost nil knowledge in the other statistical tools, he/she will still be considered a good candidate for this role.
• Proven experience as a Data Scientist or similar role, for about 7-8 years
• Solid understanding of machine learning and AI concepts, especially wrt choice of apt candidate algorithms for a use case, and model evaluation.
• Good expertise in writing SQL queries (should not be dependent upon anyone else for pulling in data, joining them, data wrangling etc)
• Knowledge of data management and visualization techniques --- more from a Data Science perspective.
• Should be able to grasp business problems, ask the right questions to better understand the problem breadthwise /depthwise, design apt solutions, and explain that to the business stakeholders.
• Again, the last point above is extremely important --- should be able to identify solutions that can be explained to stakeholders, and furthermore, be able to present them in simple, direct language.

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Radisys Corporation is looking for JAVA Backend developers with 6-10 years of experience for their Bangalore location.

The ideal candidate will be able to design and develop code for tasks after brainstorming sessions and applying best practices and coding conventions.

This position requires experience in Java, Spring, Spring Boot, microservices, message broker, and DB knowledge. Candidates should be skilled in developing enterprise applications that consist of FE, BE, and DB integration.

If you have experience with Docker and Kubernetes, that's an added advantage.

• Experience in full-cycle recruiting
• Proficiency in recruitment software and social media recruiting techniques
• Proven ability to identify and attract top talent
• Strong communication and interpersonal skills
• Ability to build and maintain strong relationships with candidates and hiring managers
• Knowledge of labor laws and regulations
• Bachelor's degree in Human Resources, Business Administration, or related field
• Experience in the travel or hospitality industry is a plus
• Professional certification in HR or recruiting is a plus
• Proven experience of 1-2 years
• Immediate joiner from the location of Noida and Delhi NCR only.

Job Responsibility:

• Work in collaboration with the Design and Technology Team Team, break down epics into features and features into stories to build MVP solutions to enable benefits realization in the shortest possible time frame
• Utilize analysis expertise to consistently elaborate requirements into detailed solutions.
• Facilitate discussions with Technical Leads and Squads to review and estimate features and stories
• You will work alongside the Product Owner to ensure that features and stories are continuously prioritized on the backlog and aligned to business value streams
• Contribute towards sprint planning for the Squad, ensuring that prioritization and dependencies are considered when bringing new work in for development
• To understand business requirement
• Understanding business requirements through user requirements gathering sessions
• to take lead a project from the very beginning till the project is delivered successfully
• Mapping business requirements to Functional solutions and Preparing BRD document
• Creating Functional specifications from which developers can create application solutions.
• Prepare a test Plan with scenarios and Test cases, detailing the test steps. Identify and gather data from various sources. Execute test cases and record result
• Take ownership of product delivery timelines and milestones typical tasks to involve analysis of business requirement requests, liaising with the Development Team and Management to complete development, support of UAT
• Analyze business problems and provide solutions.
• Participate with peers and represent the business on project teams
• Should be able to communicate the business idea and thought process clearly

Required Candidate profile:

• Great Problem-solving skills.
• Possess the ability to work in a fast-paced environment with changing priorities and deadlines
• Be used to working and communicating as part of a high-performing agile Team
• Ability to translate customer opportunities and pain points into detailed Features and User Stories that our Developer and Quality Assurance Engineers can understand and deliver
• Strong organizational and project management skills.
• Knowledge of AWS, Google Cloud, or Azure
• Familiarity with the latest technology like Blockchain is a plus.
• Excellent verbal communication skills.

• Solid experience in RoR, Golang, NodeJS or Python. Good to have exposure to ML.
• Should have experience in cloud computing
• Has an ability to quickly learn and contribute in multiple codebase
• Overcomes roadblocks and requires minimal oversight
• Takes initiatives to fix issues/tech debts before assigned to him/her
• Able to deep dive into codebase and advise QA of possible regression impact
• Communicates tech decisions through design docs and tech talks
• Has delivered projects with end-to-end accountability
• Keeps track of industry trends and introduces right tech/tools for a given job
• Excellent understanding of software engineering practices, Design Patterns, Data Structures, Algorithms