Experience Curators: Customer Success

Wissen Technology is now hiring for a Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Experience - 4+ years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

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

Need Excellent Communication skills as the company is dealing with US Clients also

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

• Proficiency with cloud platforms (AWS, Azure, GCP)

About Teleport: Teleport is a tech-driven Visa processing platform, that simplifies, digitizes, and accelerates international visa applications for outbound travelers

Job Overview: We are looking for a dedicated Growth & Sales Intern to join our team. In this role, you will be responsible for managing the top-of-funnel interactions with our potential users. You will act as the bridge between our customers and our product, ensuring every lead is nurtured and every query is resolved with precision.

Key Responsibilities:

• Lead Conversion: Initiate outbound calls to potential leads, clearly communicating the value proposition of Teleport's services to drive conversions.
• Query Management: Promptly and professionally attend to inbound customer queries, providing accurate information and resolving concerns.
• CRM Management: Maintain detailed and accurate records of all customer interactions, lead statuses, and follow-ups within our CRM system.
• Target Achievement: Take ownership of assigned sales targets and daily KPI metrics, actively working to meet and exceed them.

Ideal Candidate Profile:

• Excellent Communicator: Strong verbal and written communication skills with the ability to articulate complex processes simply.
• Customer-Centric: Demonstrates deep customer empathy and a genuine desire to help users navigate their travel requirements.
• Resilient & Calm: Exhibits the ability to remain composed and professional under pressure or when handling urgent customer situations.
• Adaptable: Thrives in a fast-paced environment and is quick to learn new tools, processes, and product updates.
• People Person: Genuinely enjoys interacting with people and building rapport over the phone.

What You Get:

• Hands-on experience with Sales process & CRM tools.
• Mentorship from industry leaders in Travel Tech
• Pre-Placement Offer (PPO) opportunities for top performers
• A learning which adds immense value to your corporate journey

We're looking for someone who loves talking to people and isn't afraid of a challenge. You'll have real conversations with folks who attended our webinars—understanding their career goals, helping them see the value in upskilling, and guiding them to make decisions that could transform their careers. Yes, you'll make 80-100 calls a day. Yes, some people will say no. But that's how you learn one of the most valuable skills in the world: consultative sales. And the best part? Folks with high agency grow FAST here, we're talking responsibility for driving revenue and working directly with founders Martin & Shirsh.

We are looking for someone who simply loves to network and build meaningful connections with people and have the individual potential to search the clients for our business.

Responsibilities:-

• Build relationship with prospective clients .
• Maintain consistent contact with existing clients.
• Analyze market and establish competitive clients.
• Track metrics to ensure target are hit

Qualification :-

• Bachelor's Degree.
• Experience in E-commerce industry/ Understanding of E-commerce Industry.
• Strong communication and presentation skill.
• CRM skill is required.
• Knowledge of Bidding Website.

Location - Laxmi Nagar Delhi.

Salary - 15000 - 20000.

Job Types: Full-time, Walk-In

Salary: ₹15,000.00 - ₹20,000.00 per month

Job Description

• ​Research and identify potential new product features and functions
• Gather stakeholder and customer input
• Define requirements, user stories, and acceptance criteria for product functions and features
• Clearly communicate the status of projects on the product roadmap and in development
• Create user documentation in coordination with stakeholders
• Create and maintain competitive and strategic analysis matrix
• Oversee implementation and release workflow and deadlines
• Hold regular project reviews with Development and QA teams ensuring that the product meets business requirements
• Draft release notes for launches and work with Product Marketing to create and execute a GTM plan
• Measure adoption, usage data, and business results from product launches
• Gather market feedback from users and buyers via Win/Loss calls, interviews, and other feedback loops

Requirements

• 10+ years of experience in software marketing / product management or writing requirements for technical projects
• Basic understanding of software development process from concept through implementation and delivery
• Prior experience with web based application development and maintenance a plus
• Understanding of UX design principles and experience working with customers and stakeholders as part of a design process
• Ability to plan, prioritize, and excel in developing a dynamic high paced cross functional team environment
• Must be detail oriented
• Excellent time management skills
• Must be a problem solver
• Excellent communication skills