Agency Channel Sales Manager (Life Insurance /Health Insurance S

Designing, building, and automating ETL processes using AWS services like Apache Sqoop, AWS S3, AWS CLI, Amazon 

EMR, Amazon MSK, Amazon Sagemaker. 

∙Developing and maintaining data pipelines to move and transform data from diverse sources into data warehouses or 

data lakes. 

∙Ensuring data quality and integrity through validation, cleansing, and monitoring ETL processes. 

∙Optimizing ETL workflows for performance, scalability, and cost efficiency within the AWS environment. 

∙Troubleshooting and resolving issues related to data processing and ETL workflows. 

∙Implementing and maintaining security measures and compliance standards for data pipelines and infrastructure. 

∙Documenting ETL processes, data mappings, and system architecture. 

We are looking for a dynamic Sales Executive with experience in PEB, construction, or steel industry. The candidate will be responsible for generating new business, managing client relationships, and promoting Pre-Engineered Building (PEB) solutions to clients in construction, industrial, and commercial sectors.

Key Responsibilities:

• Identify and develop new business opportunities in construction, infrastructure, industrial, and commercial sectors.
• Generate leads through market research, networking, and client outreach.
• Present and promote PEB solutions to architects, contractors, developers, and business owners.
• Understand client requirements and provide customized solutions.
• Build and maintain strong client relationships for repeat business.
• Prepare quotations, proposals, and tender documents.
• Negotiate pricing and close sales deals.
• Achieve monthly and quarterly sales targets.
• Coordinate with engineering, production, and project teams for smooth project execution.
• Conduct market research and track competitor activities.

Required Skills:

• Strong sales, negotiation, and presentation skills.
• Basic understanding of steel structures / PEB / construction processes.
• Good communication and client management skills.
• Target-oriented and self-motivated.
• Knowledge of CRM tools and MS Office.

Preferred Industry Background:

PEB / Steel Structures /

SaveIN is a fintech platform that aims to offer unique financial products and services to its members in a never seen before, fully digital avatar through its mobile app on Google and Apple play store. You can also call us a neo-banking platform!

Founded by a group of experienced CXOs from Banking, Fintech, Consulting and Media, SaveIN is working towards disrupting the way Indians transact, bank and save money.

At present, SaveIN is offering a revolutionary, new to market, product called Social Finance (SoFin™) allowing users to lend and borrow money, within their trusted contacts like family, friends and acquaintance. In due course, SaveIN aims to launch several other financial products and services in the personal finance and banking domain.

Our promise to you:

• We aim to hire the best of talent, passionate about the vision of SaveIN
• We aim to create an equal opportunity, open, challenging as well as rewarding environment to bring the best out of our people
• We are here to be a large, prosperous, profitable, and resilient organization so that we may serve our customers sustainably across economic cycles, we aim to achieve this in the most ethical and transparent manner possible
• Being compliant is not only an obligation, but a chosen way of life
• We would love to see you grow and are committed to do our best in contributing towards your success

About the role:

SaveIN is looking for a Software Engineer | React JS

You will be responsible for building visually engaging user experiences as well as using out of the box thinking to devise new techniques for presenting content and data. You will work with developers, designers, product and also the founding team.

Location: Gurgaon/ Work from home

Key responsibilities:

• Develop class leading and highly responsive front-end interfaces using React.js
• Translating designs and wireframes into high quality code and output
• Communicate effectively with UI/UX team and technical development team
• Create unit tests to ensure visual consistency and adequate functionality across releases
• Ensure cross-browser, cross-platform and multiple device compatibility and resolve issues.
• Document technical design as per internal compliance standards
• Work with senior management and external stakeholders to ensure that deliverables are met

Skills and competencies:

• Education: BE/BTech/ME/MTech/MCA
• Minimum 3-year industry experience and proficiency in developing front-end components using React JS, Angular.io, Vue.js, HTML 5, Web markup and CSS 3
• Experience in Typescript
• Hands on experience with state management tools like Redux/Mobx
• Fine understanding of Node.js based tooling like Webpack, Grunt/Gulp, NPM, Express JS, Babel, Create React App etc.
• Good knowledge of working with dynamic data (e.g., JSON, XML) through various interface types (e.g., REST, SOAP)
• Experience of working with responsive web designs across multiple platforms
• Experience with integrating Analytics Tool like Google Analytics, Mix Panel etc
• Experience in creating mock-ups/ proof-of-concepts based on wireframes
• Ability to learn new UI technologies quickly
• Understanding of SEO and accessibility issues
• Experience of full software development life cycle, standard and secure coding practices and pro
• Experience with content delivery networks and an understanding of web caching
• Experience with unit testing using frameworks such as Mocha, Chai, Enzyme, Cypress, or Jest
• Experience with Jenkins and Docker a plus
• Experience on any backend technologies Node.JS, Python, Java, PHP will be a good add on
• Experience in Scrum/Agile is desirable

About the Role

We are looking for a passionate AI Engineer Intern (B.Tech, M.Tech / M.S. or equivalent) with strong foundations in Artificial Intelligence, Computer Vision, and Deep Learning to join our R&D team.

You will help us build and train realistic face-swap and deepfake video models, powering the next generation of AI-driven video synthesis technology.

This is a remote, individual-contributor role offering exposure to cutting-edge AI model development in a startup-like environment.

Key Responsibilities

• Research, implement, and fine-tune face-swap / deepfake architectures (e.g., FaceSwap, SimSwap, DeepFaceLab, LatentSync, Wav2Lip).
• Train and optimize models for realistic facial reenactment and temporal consistency.
• Work with GANs, VAEs, and diffusion models for video synthesis.
• Handle dataset creation, cleaning, and augmentation for face-video tasks.
• Collaborate with the AI core team to deploy trained models in production environments.
• Maintain clean, modular, and reproducible pipelines using Git and experiment-tracking tools.

Required Qualifications

• B.Tech, M.Tech / M.S. (or equivalent) in AI / ML / Computer Vision / Deep Learning.
• Certifications in AI or Deep Learning (DeepLearning.AI, NVIDIA DLI, Coursera, etc.).
• Proficiency in PyTorch or TensorFlow, OpenCV, FFmpeg.
• Understanding of CNNs, Autoencoders, GANs, Diffusion Models.
• Familiarity with datasets like CelebA, VoxCeleb, FFHQ, DFDC, etc.
• Good grasp of data preprocessing, model evaluation, and performance tuning.

Preferred Skills

• Prior hands-on experience with face-swap or lip-sync frameworks.
• Exposure to 3D morphable models, NeRF, motion transfer, or facial landmark tracking.
• Knowledge of multi-GPU training and model optimization.
• Familiarity with Rust / Python backend integration for inference pipelines.

What We Offer

• Work directly on production-grade AI video synthesis systems.
• Remote-first, flexible working hours.
• Mentorship from senior AI researchers and engineers.
• Opportunity to transition into a full-time role upon outstanding performance.

Location: Remote | Stipend: ₹10,000/month | Duration: 3–6 months

• A Data and MLOps Engineering lead that has a good understanding of modern Data engineering frameworks with a focus on Microsoft Azure and Azure Machine Learning and its development lifecycle and DevOps.
• Aims to solve the problems encountered when turning Data into meaningful solutions using transformations and data science code into production Machine Learning systems. Some of these challenges include:
  • ML orchestration - how can I automate my ML workflows across multiple environments
  • Scalability - how can I take advantage of the huge computational power available in the cloud?
  • Serving - how can I make my ML models available to make predictions reliably when needed?
  • Monitoring - how can I effectively monitor my ML system in production to ensure reliability? Not just system metrics, but also get insight into how my models are performing over time
  • Reuse – how can I profess reuse of artefacts built and establish templates and patterns?

The MLOps team works closely with ML Engineering and DevOps teams. Rather than focus just on individual use cases, the focus would be to specialise in building the platforms and tools that can help adoption of MLOps across the organisation and develop best practices and ways of working to develop a state of the art MLOps capability.

A good understanding of AI/Machine Learning and software engineering best practices such as Cloud Engineering, Infrastructure-as-Code, and CI/CD.

Have excellent communication and consulting skills, while delivering innovative AI solutions on Azure.

Responsibilities will include:

• Building state-of-the-art MLOps platforms and tooling to help adoption of MLOps across organization
• Designing cloud ML architectures and provide a roadmap for flexible patterns
• Optimizing solutions for performance and scalability
• Leading and driving the evolving best practices for MLOps
• Helping to showcase expertise and leadership in this field

Tech stack

These are some of the tools and technologies that we use day to day. Key to success will be attitude and aptitude with a vision to build the next big thing in AI/ML field.

• Python - including poetry for dependency management, pytest for automated testing and fastapi for building APIs
• Microsoft Azure Platform - primarily focused on Databricks, Azure ML
• Containers
• CI/CD – Azure DevOps
• Strong programming skills in Python
• Solid understanding of cloud concepts
• Demonstrable interest in Machine Learning
• Understanding of IaC and CI/CD concepts
• Strong communication and presentation skills.

Remuneration: Best in the industry

Connect: https://www.linkedin.com/in/shweta-gupta-a361511