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We’re Hiring: Relationship Manager – Retail Sales 🌟

📍 Locations: Mumbai | Ahmedabad | Aurangabad

🕒 Mon–Sat | ⏰ 10 AM – 6:30 PM

🎓 Qualification: Graduate | 💼 Exp: 1–5 yrs

🔹 Key Responsibilities:

✨ Drive client acquisition & achieve GWP sales targets

🤝 Manage & grow a network of 40–45 insurance agents

📊 Provide accurate quotations & close policy sales

🎯 Ensure 100% monthly GWP target achievement

💬 Build & maintain strong client & agent relationships

📋 Prepare daily/weekly MIS & ensure process compliance

💡 Skills Required:

📚 Insurance product knowledge

🗣️ Excellent communication & relationship management

⚡ Leadership & business acumen

🎁 Benefits:

💰 Competitive salary & incentives

🎓 Training & professional growth opportunities

🩺 Insurance coverage (GTL)

🤝 Supportive, growth-oriented work culture

15+ years of marketing experience, with a focus on brand building and digital marketing.

Candidate must be having experience in handling entire Brand Marketing on a large scale - Mandatory

Need Master's degree in Marketing, Business Administration, or a related field (MBA preferred).

Need local candidate from Mumbai and near by location.

Candidate should be from Media, advertisement or Entertainment industry only.

Candidate must have experience in making Brand Strategies (like Brand Repositioning, Brand Positioning,Brand Awareness Strategy & Brand Innovation Strategy etc.)

Ability to develop and execute successful Marketing Campaigns across multiple channels.

Deep understanding of digital marketing (SEO, SEM, social media, content marketing, email marketing).

Experience managing relationships with external agencies and partners.

Proficiency in marketing technology tools and social media platforms.

Position: AWS Data Engineer

Experience: 5 to 7 Years

Location: Bengaluru, Pune, Chennai, Mumbai, Gurugram

Work Mode: Hybrid (3 days work from office per week)

Employment Type: Full-time

About the Role:

We are seeking a highly skilled and motivated AWS Data Engineer with 5–7 years of experience in building and optimizing data pipelines, architectures, and data sets. The ideal candidate will have strong experience with AWS services including Glue, Athena, Redshift, Lambda, DMS, RDS, and CloudFormation. You will be responsible for managing the full data lifecycle from ingestion to transformation and storage, ensuring efficiency and performance.

Key Responsibilities:

• Design, develop, and optimize scalable ETL pipelines using AWS Glue, Python/PySpark, and SQL.
• Work extensively with AWS services such as Glue, Athena, Lambda, DMS, RDS, Redshift, CloudFormation, and other serverless technologies.
• Implement and manage data lake and warehouse solutions using AWS Redshift and S3.
• Optimize data models and storage for cost-efficiency and performance.
• Write advanced SQL queries to support complex data analysis and reporting requirements.
• Collaborate with stakeholders to understand data requirements and translate them into scalable solutions.
• Ensure high data quality and integrity across platforms and processes.
• Implement CI/CD pipelines and best practices for infrastructure as code using CloudFormation or similar tools.

Required Skills & Experience:

• Strong hands-on experience with Python or PySpark for data processing.
• Deep knowledge of AWS Glue, Athena, Lambda, Redshift, RDS, DMS, and CloudFormation.
• Proficiency in writing complex SQL queries and optimizing them for performance.
• Familiarity with serverless architectures and AWS best practices.
• Experience in designing and maintaining robust data architectures and data lakes.
• Ability to troubleshoot and resolve data pipeline issues efficiently.
• Strong communication and stakeholder management skills.

We are looking for a Client Key Account Manager who has an experience in coordinating with the clients and the Digital marketing team. The Account manager will be the liaise between clients and the internal teams (content writers/graphic designers/ implementors/ Billing) to ensure the timely and successful delivery of solutions pertaining to our client's needs. Knowledge of LinkedIn Advertising or PPC campaign is a must. Also, understanding of tech is a plus since we have major tech clients on board.

Experience - 4 years - 5 years as an Account manager experience

The Ideal Candidate

Client Management: Your main task as an Account Manager is to understand and manage clients’ expectations, coordinating with the client and the team and keep them aware about the actions you're taking and how we're progressing. Communication with the client will be basic as your main job is to get results for the clients. Responding to client queries (Account updates, Billing Inquiries, or General complaints) in an effective manner, via Phone calls, Emails, and Chats within the time limits and following up to ensure resolution whenever required.

LinkedIn Ads / PPC campaign: Experience with LinkedIn Ads / PPC campaign is required. You are expected to to make day to day changes in the LinkedIn ad manager and take care of the campaigns. Not only do you need to know the fundamentals of LinkedIn or PPC Ads, but also be experienced enough to come up with campaign strategies and manage long term while getting results.

Accounts handled: You should have handled minimum 50 lakhs worth of ad spent in past on either PPC campaign / LinkedIn Ads campaigns.

Problem Solving: We’re always here to support our team members but you need to be someone who can roll up your sleeve and do your best to deal with problems - and solve those which you can actually solve. Identifying customer needs, and problems and taking proactive steps to maintain positive experiences.

Marketing Strategy: Your main job is to learn about the client's business and understand what they sell, who they sell to, etc. in order to use this to guide the client towards strategies that help their ad campaigns become as profitable as possible (with the account executive’s & account lead’s help).

Important Personality Traits

• Persuasive, Assertive, Confident, Direct
• Strong English proficiency
• Should be available in IST time zone
• Willing to work in US time zone, as and when required
• Remote working.
• Fast Internet & Power backup (if you have frequent power cut issues).
• Ready for Video calls at all times. Video calls are an integral part of maintaining the human connection while working from Anywhere.

We are looking for a passionate hands-on technologist who has experience developing Python web applications with Django as a framework and has the expertise to integrate the same with a UI built using Angular JS. Basically someone, who has worked as a Full Stack Python Developer delivering web applications from end-to-end.

You will be working on our revolutionary and niche products developed for the Fintech domain. You will develop new software for web applications, perform research & development of new technologies, integrate with other systems, and maintain and support proposed web applications. All we are looking for is a person who must be a core developer at heart and able to write, review and fix source code and database issues as they arise. You must be : able to accept change in a dynamic environment and be able to adjust priorities, able to think outside the box, pragmatic, able to voice and effectively communicate opinions, great listeners and detail oriented.

Here’s an opportunity for you to be a part of a Fintech venture with completely disruptive visions like robo advisory and more.. Lets go one step further to see if you can fit in!

Responsibilities

• Write effective, scalable code
• Develop back-end components using REST API to improve responsiveness and overall performance
• Integrate user-facing elements into applications
• Test and debug programs
• Improve functionality of existing systems
• Implement security and data protection solution
• Assess and prioritized feature requests
• Coordinate with internal teams to understand user requirements and provide technical solutions

Requirements

• 2-3 years Work experience as a Full Stack Python Developer
• Expertise in Django and Angularjs
• Knowledge of object-relational mapping (ORM)
• Familiarity with front-end technologies (like JavaScript and HTML5)
• Team spirit
• Good problem-solving skills
• BSc in Computer Science, Engineering or relevant field

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology