Operations Manager

Talent Acquisition Role Responsibilities are given below:

Building Talent Pool

• Determining the current staffing needs of an organization

• Lead the sourcing strategy to identify the potential talent

• Identify and manage the external sourcing partners

• Responsible of hiring Top management hiring

• Identify the process gaps and reengineer the process as and when required

• Devising the technical assessment for selection procedure for various roles

• Creating a salary benchmarks and manage consistency for all the roles/locations

• Should make sure that the salary proposal are well within the defined budgets

• Creating a pool of blacklisted companies and employees whom the organization

• should refrain from hiring and vice versa

• Collaborating with the Department Heads and Divisional heads to identify the

• Challenges and resolutions

• Expertise in head hunting of candidates

• Should plan for reduction of drop out % rate

• Responsible for incorporating best industry practices for recruitment

• Ensure the reduction in early attrition

• Create a potential pipeline for future hiring

Sourcing Strategy

• Identify the right source of recruitment mix for the company

• Proactively connecting with prospective institute and organization for hiring such as

• Campus Recruitment, Job Portal, Ads, Contract Hiring, Offline Hiring, Consultancy

• Promoting the Kinara Brand amongst all stakeholders

Vendor Management

• Right consultant for right role

• Identifying the right vendor for every specialized roles and skills

HO & Field Hiring

• Recruitment & Onboarding for all the levels

BGV

• Neatly we do the BGV, strongly, oral or through IDFY

Pipeline Creation

• Creating the talent pool as a backup

• Strategy to reduce the early attrition

• Strategies to screen the right profiles, less rejection

Budgeting

• Ensure budget and cost optimization of the organization

HRMS

• How effectively the usage of HRMS in place by reducing the manual efforts

Other Requirements:

• Similar Industry market knowledge

• Team handling experience

• Have worked in the strategical capacity

Skills and Competencies:

Technical Skills

• Data Analysis and Reporting

• Have prior experience in handling HRMS tool

• Stakeholders Management

• Excellent in Analytics

Soft Skills

• Resourcefulness

• People Management

• Communication

• Time management

• Team management

Manual Tester with Crew Domain Knowledge

Skill Set/Experience

1.   •       Experience: 5–12 Years

2.   •       Locations: Chennai, Bangalore, Trivandrum, Cochin

3.   •       Notice Period: Immediate to <30 days

1. Very good understanding of airline Crew and Ops business processes
2. Experience in UAT and SIT testing including on-site customer interactions (added advantage).
3. Strong business/testing skills – Use case review, Test case creation (Interface, Functional and UAT and End to End ) , review and execution
4. Basic knowledge of SQL, UNIX
5. Experience in API/Interfaces testing
6. Experience with any of the defect tracking systems.
7. Exposure in using selenium Test Automation tool is added advantage

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

We are hiring for the role of Video Editing. If you are interested, please submit your resume and previous work

You will be responsible for both back-end and front-end development, including creating WordPress themes and plugins.

WordPress Developer duties and responsibilities :-

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- WordPress Developer requirements and qualifications :-

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• Flagging risk from smallest to largest which can derail projects or cause tart misses
• Owning and organizing quarterly planning sessions with internal partners with content, agenda, preparation, and oversight of deliverables
• Helping drive data driven presentations for the leadership team in both internal and external engagements
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• Graduation/ Post graduation (preferably in Strategy and Finance)
• 3+ years of experience in assisting executive leadership
• Excellent communication skills (English & 1 regional language)
• Competency in using MS Word, Excel & PowerPoint
• Working knowledge of data tools
• Understanding of business operations and related finance
• Comfort running strategic workshops with executive teams
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