Sr HR Generalist

Experience: 8+ Years

Location: Remote / Hybrid / Onsite

Employment Type: Contract / Full-time

Job Description

We are hiring a Guidewire InsuranceNow Configuration Developer to configure insurance products, workflows, business rules, and user interfaces within the InsuranceNow platform.

Key Responsibilities

• Configure products, rates, forms, and workflows in InsuranceNow.
• Implement business rules and validation logic.
• Customize screens and user experience components.
• Support testing, deployment, and production releases.
• Work closely with business analysts and architects.

Required Skills

• 8+ years of experience with Guidewire InsuranceNow configuration.
• Strong understanding of InsuranceNow product model and workflows.
• Experience in policy administration systems.
• Knowledge of P&C insurance products.
• Strong communication and documentation skills.

Introduction

About Us:

Mercari is a Japan-based C2C marketplace company founded in 2013 with the mission to “Create value in a global marketplace where anyone can buy & sell.” From being the first tech unicorn from Japan before its IPO in 2018 we have come a long way towards becoming a global player and continuously and diligently work towards our transformation journey with a strong focus on our mission.

Since its inception, Mercari Group has worked to grow its services, investing in both our people and technology. Over time Mercari has expanded from being the top player in the C2C marketplace in Japan to new geographies like the U.S. We have also successfully launched new businesses such as Merpay, which is a mobile payment service platform with a vision to create a society where anyone can realize their dreams through a new ecosystem centered not only on payment service but also on credit. Today, Mercari Group is made up of multiple subsidiary businesses including logistics, B2C platform, blockchain, and sports team management.

For our services to be utilized by people worldwide; however, there is still a mountain of work ahead of us. This endeavor naturally requires the capability of the best talent and minds, and that is exactly the reason for us to launch the India Center of Excellence. With your help, we will continue to take on the world stage and strive to grow into a successful global tech company.

Our Culture:

To achieve our mission at Mercari, our organization and each of our employees share the same values and perspectives. Our individual guidelines for action are defined by our four values: Go Bold, All for One, Be a Pro and Move Fast. Our organization is also shaped by our four foundations: Sustainability, Diversity & Inclusion, Trust & Openness, and Well-being for Performance. Regardless of how big Mercari gets, the culture will remain essential to achieving our mission and something we want to preserve throughout our organization. We invite you to read the Mercari Culture Doc which summarizes the behaviors and mindset shared by Mercari and its employees. We continue to build an environment where all of our members of diverse backgrounds are accepted and recognized, and where they can thrive while holding dear to Mercari’s culture.

Work Responsibilities

• Machine learning engineers working in the Recommendation domain develop the functions and services of the marketplace app Mercari through the development and maintenance of machine learning systems like Recommender systems while leveraging necessary infrastructure and companywide platform tools. 
• Mercari is actively applying advanced machine learning technology to provide a more convenient, safer, and more enjoyable marketplace. Machine learning engineers use the cloud and Kubernetes to operate and improve machine learning systems.

Bold Challenges

• We are looking for people who are interested in our services, mission, and values, and want to work where engineers can go bold, use the latest technology, make autonomous decisions, and take on challenges at a rapid pace.
• Develop and optimize machine learning algorithms and models to enhance recommendation system to improve discovery experience of users
• Collaborate with cross-functional teams and product stakeholders to gather requirements, design solutions, and implement features that improve user engagement
• Conduct data analysis and experimentation with large-scale data sets to identify patterns, trends, and insights that drive the refinement of recommendation algorithms
• Utilize machine learning frameworks and libraries to deploy scalable and efficient recommendation solutions.
• Monitor system performance and conduct A/B testing to evaluate the effectiveness of features.
• Continuously research and stay updated on advancements in AI/machine learning techniques and recommend innovative approaches to enhance recommendation capabilities.

Minimum Requirements:

• Over 5-9 years of professional experience in end-to-end development of large-scale ML systems in production
• Strong experience demonstrating development and delivery of end-to-end machine learning solutions starting from experimentation to deploying models, including backend engineering and MLOps, in large scale production systems.
• Experience using common machine learning frameworks (e.g., TensorFlow, PyTorch) and libraries (e.g., scikit-learn, NumPy, pandas)
• Deep understanding of machine learning and software engineering fundamentals
• Basic knowledge and skills related to monitoring system, logging, and common operations in production environment
• Communication skills to carry out projects in collaboration with multiple teams and stakeholders

Preferred skills:

• Experience developing Recommender systems utilizing large-scale data sets
• Basic knowledge of enterprise search systems and related stacks (e.g. ELK)
• Functional development and bug fixing skills necessary to improve system performance and reliability
• Experience with technology such as Docker and Kubernetes
• Experience with cloud platforms (AWS, GCP, Microsoft Azure, etc.)
• Microservice development and operation experience with Docker and Kubernetes
• Utilizing deep learning models/LLMs in production
• Experience in publications at top-tier peer-reviewed conferences or journals

Employment Status

Full-time

Office

Bangalore

Hybrid workstyle

• We believe in high performance and professionalism. We work from office for 2 days/week and work from home 3 days/week
• To build a strong & highly-engaged organization in India, we highly encourage everyone to work from our Bangalore office, especially during the initial office setup phase
• We will continue to review and update the policy to address future organizational needs

Work Hours

• Full flextime (no core time)

*Flexible to choose working hours other than team common meetings

Media

Owned Media

• Mercari Engineering Portal
• AI at Mercari portal
• Mercan - Introduces the people that make Mercari
• Mercari US Blog

Related Articles

• Development Platforms and Platformers: On Rising to the Global Standard Ken Wakasa, Mercari CTO | mercan
• “I'm Not a Talented Engineer” Insists the Member-Turned-Manager Revamping Our Internal CS Tool | mercan
• Personalize to globalize:How Mercari is reshaping their app, their company, and the world | mercan
• The Providers of the Safe and Secure Mercari Experience: The TnS Team, Introduced by Its Members! | mercan

Job Summary:

We are hiring a Data Scientist – Gen AI with hands-on experience in developing Agentic AI applications using frameworks like LangChain, LangGraph, Semantic Kernel, or Microsoft Copilot. The ideal candidate will be proficient in Python, LLMs, and prompt engineering techniques such as RAG and Chain-of-Thought prompting.

Key Responsibilities:

• Build and deploy Agent AI applications using LLM frameworks.
• Apply advanced prompt engineering (Zero-Shot, Few-Shot, CoT).
• Integrate Retrieval-Augmented Generation (RAG).
• Develop scalable solutions in Python using NumPy, Pandas, TensorFlow/PyTorch.
• Collaborate with teams to deliver business-aligned Gen AI solutions.

Must-Have Skills:

• Experience with LangChain, LangGraph, or similar (priority given).
• Strong understanding of LLMs, RAG, and prompt engineering.
• Proficiency in Python and relevant ML libraries.

Nice-to-Have:

• Wrapper API development for LLMs.
• REST API integration within Agentic workflows.

Qualifications:

• Bachelor’s/Master’s in CS, Data Science, AI, or related.
• 4–7 years in AI/ML/Data Science, with 1–2 years in Gen AI/LLMs.

• 3-5 years of professional experience in web development with a strong focus on JavaScript stack technologies.
• Proven experience in integrating blockchain technology into web applications, with a deep understanding of blockchain protocols, smart contracts, and decentralized applications (dApps).
• Proficiency in multisignature, multiparty computation and 3rd party Node provider integration
• Experience with public blockchain platforms such as Bitcoin, Ethereum, etc.
• Solid understanding of RESTful APIs and web services.
• Strong problem-solving skills and the ability to troubleshoot complex issues.
• Excellent communication and collaboration skills.
• Ability to thrive in a fast-paced, agile environment and adapt to changing priorities.
• Experience with continuous integration and deployment (CI/CD) pipelines is a plus.
• Experience in setting up Bitcoin core, and Geth node is a plus

FRANCHISE SALES MANAGER

Promilo.com (Sawara Solutions Pvt Ltd)

Industry: IT Software - SAAS

Location: Bangalore

Mode: Full-Time

Salary: As per the industry standard

About Us

Promilo is India’s 1st innovative platform, "Pay to Browse” It is a B2B SaaS start-up that accelerates the companies' business appointment funnel. We’re an advertising platform that connects both users & advertisers. Users will be able to book an online appointment based on their interests with the advertiser, without compromising their data privacy and get rewarded for sharing their data and time. We’re registered and recognized by Start-up India, Start-up Karnataka & MSME. To know more - Visit - www.promilo.com or watch this video - https://www.youtube.com/watch?v=wPeKo1i1VQI

KEY ACCOUNTABILITIES

• Present business plans to the potential client, and negotiate the terms and conditions of the franchise agreement
• Scheduling sales meetings with interested delegates and following them up till franchise sign-ups. 
• Coordinate the franchise recruiting process.
• Manage Footprints franchise sales and lead database.

DUTIES AND RESPONSIBILITIES

• Make telephone calls to the leads assigned by the system to validate the leads and present information on the Promilo franchise.
• Generate the lead through multiple sales & marketing activities
• Pre-qualify the leads by asking questions about their location preference, profiles, interests, etc.
• Present information to the qualified leads about the Promilo franchise model, the investment required to start and run a FICO & FIFO model, etc.; Conclude calls by sending the prospects emails/messages with links for further information on the franchise opportunity.
• Capture and document information on the leads obtained through the telecalls in the system.
• Enter and update prospects’ information in the database.
• Schedule and make a follow-up call to assess the level of interest of the prospects and to qualify them for the next stage of the face-to-face meeting.
• Send requests to prospects for filling up the Expression of Interest (EOI) forms to collect information regarding their funding ability.
• Schedule face-to-face meetings for prospects with concerned Relationship Managers (RM).
• Hand out the ROI-Sheet, the Term-Sheet, and the Agreement Draft to the franchisee candidates approved by the RM / Head – of Franchise Development.
• Answer queries, provide information, assist the prospects with personal visits and provide support as required.

Technical

• Proficiency in relevant computer applications – MS Office, Google Sheets, etc.
• Data Entry Skills

Non-technical

• Active Listening
• Persuasiveness
• Persistence
• Telephone Etiquette and Customer Focus
• High Energy Level

Qualifications and Skills

• Strong knowledge of Core PHP, Shopify, Magento.
• Good knowledge of any PHP framework ( CodeIgniter and CakePHP )
• Hands-on experience one PHP framework
• Good analytical & communication skills.
• Must be proficient in PHP, MySQL, CSS, HTML, Javascript, AJAX, XML
• Should have excellent written communication skills (English)
• Must have the capacity to work independently and also as a part of a team
• Must have dedication and commitment towards work.

Job Responsibities:

Junior Quality Assurance (QA) engineer role and responsibility includes:

• Understanding the product requirement.
• Develop use cases and test cases
• Execute functional and regression testing (It also includes uncovering the bugs early in the product life cycle by doing manual and automated tests to ensure product quality)
• You are responsible for conducting various levels of testing before product launches to ensure software runs smoothly and meets client needs while being cost-effective.
• You will also review software requirements and track quality assurance metrics.

Research accounts, identify key players and generate interest for products/service offerings

• Maintain and expand your database of prospects within your assigned territory
• Prospect and build a sales pipeline for the Sales Managers via outbound calling, email communications, andother direct marketing methods
• Understanding customer needs and requirements
• Qualify all sales leads, routing the opportunities to the appropriate Sales Managers for further development andclosure
• Follow up with each Sales Manager, post meeting. Determine result of respective meeting, follow upappropriately to close the loop
• Consistently log and record each-and-every outreach made, in CRM, producing regular activity reports
• Act as a bridge between Marketing and Sales. Be cognizant of each marketing initiative, and work towardcorporate objectives
• Close sales and achieve quarterly quotas
• Team with channel partners to build a pipeline and close deals
• Perform effective online demos to prospectsRequirements
• Ability to comprehend the AVASOFT service offerings/product line and to communicate our value proposition toprospects
• Strong Internet research skills required
• Excellent presentation skills, verbal and written communication skills, and interpersonal skills.
• Highly organized and attentive to detail
• Self-starter with solid follow-through and multi-tasking capabilities
• Ability to handle a fast-paced environment and challenging workload, must work well individually or as a memberof a team
• Highly motivated with a strong desire to succeed
• Relies on experience and judgment to plan and accomplish goals
• Bachelor's degree or equivalent, preferably in related field