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Scrum Master
Hiring for Fortune22 based company for Bangalore and Gurgaon
Natalie Consultants's logo

Scrum Master

at Hiring for Fortune22 based company for Bangalore and Gurgaon

Agency job
8 - 12 yrs
₹10L - ₹18L / yr
Gurugram, Delhi, Noida, Ghaziabad, Faridabad
Skills
Certified Scrum Master (CSM)
Agile/Scrum
JIRA
Healthcare
Responsibilities & Duties:-
  • Plan, manage, and deliver solutions.
  • Training, mentoring, and supporting scrum teams to follow agile values, principles, and practices.
  • Determining and managing tasks, issues, risks, and action items.
  • Scheduling and facilitating scrum events, meetings, and decision-making processes.
  • Monitoring progress and performance and helping teams to make improvements.
  • Planning and organizing demos and product/system testing.
  • Ensuring the proper use of collaborative processes and removing impediments for the scrum team.
  • Tracking project processes, deliverables, and financials.
  • Preparing and presenting status reports to stakeholders.
Read more
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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Large Language Models (LLM) tuning
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Retrieval Augmented Generation (RAG)

About TIFIN

TIFIN is an AI-first fintech platform backed by global leaders like J.P. Morgan, Morningstar, and Franklin Templeton. The company focuses on transforming wealth management through AI, data science, and personalized financial experiences.

Role Overview

We are looking for an LLM Engineer to build and scale intelligent AI-driven applications. You will work closely with product, design, and data teams to create conversational AI systems and personalized experiences using Large Language Models.

Key Responsibilities

Design and build LLM-powered applications and conversational AI systems

Develop and optimize prompt engineering strategies (Claude, OpenAI, etc.)

Implement RAG (Retrieval-Augmented Generation) pipelines

Fine-tune models using domain-specific data

Collaborate with product and design teams to build intuitive AI experiences

Build scalable AI workflows, APIs, and backend integrations

Experiment with new AI tools and architectures

Own end-to-end delivery of features

Required Skills & Experience

3–5 years of experience in AI/ML, NLP, or backend engineering

Hands-on experience with LLMs and Generative AI

Strong understanding of prompt engineering

Experience with RAG architectures and vector databases

Experience in fine-tuning models and embeddings

Strong proficiency in Python

Strong problem-solving and system design skills

Good to Have

Experience building chatbots or conversational AI platforms

Exposure to fintech or financial domain

Knowledge of LangChain, LlamaIndex, Pinecone, Weaviate, etc.

Experience with cloud platforms like AWS, GCP, or Azure

Why Join TIFIN

Work at the intersection of AI and fintech

Build global-scale, high-impact products

High ownership and fast-paced environment

Collaborative and innovation-driven culture

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Strong builder mindset with curiosity for AI

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VDart Technology
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Job Title: Lead Tableau Consultant

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Job Type: Full-time

 

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·   Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·   Build and optimize data models and DAX queries.

·   Collaborate with stakeholders to gather and analyze reporting needs

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Required Skills:

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Mercari, Inc
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Ashwin S
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Bengaluru (Bangalore)
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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
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Srijan Technologies
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Adyasha Satpathy
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SRE - Tech Lead (DevOps):

Location: Permanent Work From Home Option
Notice: Candidates with a notice period of 30 days and less and preferred

SRE-DevOps- Tech Lead - JD:

 

Srijan is hiring for Site Reliability Engineering (SRE), We are looking for SRE/DevOps- Tech Lead or Sr. Tech Lead with strong automation skills and a good understanding of how to build & run secure & reliable platforms for cloud-native applications. Please find below the detailed job description and kindly go through the same for reference:-



Minimum Experience: 6+ years in DevOps/SRE

Permanent WFH option

Job Description:-

The focus of this role is to build scalable, resilient, secure infrastructure for cloud-native applications whilst automating every mundane task you could think of and build observability dashboards, set up alerts, etc to provide optics to relevant stakeholders. In a nutshell: “You are keepers of Production environments”. You must be a problem solver with the ability to multitask and come with strong collaboration and communication skills.



Key Responsibilities:-

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  • Set right practices for Well-Defined Architecture & to minimize toil.

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  • Practice sustainable incident response and blameless postmortems.

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  • Able to mentor junior members on regular basis

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  • Ensuring that web application infrastructure is built

  • Ability to act as Customer Technical Advocate and negotiate well with peers on technical fronts.

  • Flexible enough to work in different Shifts for hyper business requirement

  • Ability to handle multiple global clients on tech front and generate desired reports to represent health of SRE Delivery.



Skills/Experience:-

  • A key skill of a SRE Tech Lead is that they have a deep knowledge of the application, the code, and how it runs, is configured, and scales. That knowledge is what makes them so valuable at also monitoring and supporting it as site reliability engineers.

  • System administration, security, and networking

  • The SRE Tech Lead expected to have a good understanding of system administration (Linux or Windows) and networking.

  • Essential commands

  • User and Group Management

  • Knowledge of networking concepts (DNS, TCP/IP, and Firewalls)

  • Service Configuration

  • Storage Management

  • Good grasp of fundamental security concepts

  • Good understanding of infrastructure as code principles.

  • Knowledge of a scripting language such as Bash

  • Ability to configure infrastructure using a Configuration Management technology such as Puppet, Chef, or Ansible.

  • Familiarity with Jenkins or any other CI/CD tool

  • Proficiency in a high-level programming language such as Python or Go.

  • Understanding of container technologies such as Docker, Kubernetes

  • 2 yrs+ hands on experience with container orchestration technologies such as ECS, EKS, AKS or Kubernetes would be beneficial.

  • Use Terraform and other IaC to deploy cloud infrastructure.







Cloud technologies:-

  • Experience designing available, cost-efficient, fault-tolerant, and scalable distributed systems on AWS/Azure

  • Hands-on experience using compute, networking, storage, and database AWS/Azure services

  • Hands-on experience of 4 yrs+ with AWS/Azure deployment and management services

  • Ability to identify and define technical requirements for an AWS/AZURE-based application

  • Ability to identify which AWS/AZURE services meet a given technical requirement

  • Knowledge of recommended best practices for building secure and reliable applications on the AWS/AZURE platform

  • An understanding of the AWS/AZURE global infrastructure

  • An understanding of network technologies as they relate to AWS/AZURE

  • An understanding of security features and tools that AWS/AZURE provides and how they relate to traditional services







 

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Want an opportunity to grow with one of the nation's largest manufacturing company? If you are ready to take the next step in your career, join hands with our client for this great opportunity!!

Our client has the backing of one of India's leading Business houses which has a turnover of Rs.100 billion. The company produces excellent quality writing and printing paper, and they are the leading manufacturer of tissue and board, as well as Rayon Grade Pulp (RGP) products. They have the largest single location manufacturing facility in India with an estimated revenue of $24.1 million. Our client continues to be the committed employer of the local community and has achieved many international standards like OHSAS and FSC as a leading producer of pulp and paper.

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What you will do:
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What you need to have:

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Are you passionate about content and social media? Would you like to put your creativity and knowledge into practice? Are you someone who can interview random people on the street and make it entertaining? Are you the one who is skilled at shooting, editing and making videos? Are you  a real digital addict that is available part time for a duration of 6 months? Are you currently in your bachelor's degree studying business or communications? 


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A few words about us: 

India's first disruptive EdFinTech start-up for pre-teenagers- Good Good Piggy is an online piggy bank and behavioral rewards platform...doubling up as an investment channel to build financially responsible children! 

What Would You Do During Your Internship

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What Do You Need To Succeed

  • You live and breathe social media
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  • You have an eye for video editing and shooting, and can design visuals for social media posts (Canva)
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  • You are highly organized and detailed-oriented
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  • You are a positive person, eager to learn and grow
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What Would You Get

  • Access to India’s fastest-growing Fin-tech network
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Divyadharshini SU
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Infoneo Technologies Pvt Ltd
Aakansha Raghav
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Noida
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Ethereum
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Experience: 2-5 Years

Location: Sector 62, Noida

 

Job Description

 

  • Research, design, develop, and test blockchain technologies
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Product Development Company
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skill iconJava
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skill iconPostgreSQL
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Responsibilities: A listing of the key responsibilities  

·       Build an enterprise application using Java, Spring boot, Hibernate, Gradle.

·       Work with Postgres database on AWS RDS.

·       Manage the application on AWS cloud.

·       Maintain necessary documentation for the project.

·       Fix the issues reported by application users.

·       Code Review and Code Optimization

·       Coordinate with the development team to manage the fixes and code changes and code merge

·       Manage the backend Java, Database changes/bugs along with UI changes/bugs.

·       You should know what RESTful services are and have experience working with such APIs in the backend.

·       Exposure to Java based technologies such as the Spring framework and RDBMS such as PostgreSQL is preferred. You must be able to connect to a database, write simple SQL statements to verify end-to-end functionality.

·        

 

 

Minimum Qualifications:

 

  • Minimum 5 years of experience with Java platform and technologies.
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Shubham Vishwakarma's profile image

Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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