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at SUVI(provide a best hike on the current or offered ctc)
Mobile App
Visual Studio
Mobile application
web application
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Job Title : Data Scientist – NLP & LLM
Experience Required : 4 to 5+ Years
Location : Gurugram
Notice Period : Immediate Joiner Preferred
Employment Type : Full-Time
Job Summary :
We are seeking a highly skilled Data Scientist with strong expertise in Natural Language Processing (NLP) and modern deep learning techniques. The ideal candidate will have hands-on experience working with NER, RNN, LSTM, Transformers, GPT models, and Large Language Models (LLMs), including frameworks such as spaCy.
Mandatory Skills : NLP, spaCy, NER (Named-entity Recognition), RNN (Recurrent Neural Network), LSTM (Long Short-Term Memory), Transformers, GPT, LLMs, Python
Key Responsibilities :
- Design and implement NLP models for tasks like text classification, entity recognition, summarization, and question answering.
- Develop and optimize models using deep learning architectures such as RNN, LSTM, and Transformer-based models.
- Fine-tune or build models using pre-trained LLMs such as GPT, BERT, etc.
- Work with tools and libraries including spaCy, Hugging Face Transformers, and other relevant frameworks.
- Perform data preprocessing, feature extraction, and training pipeline development.
- Evaluate model performance and iterate with scalable solutions.
- Collaborate with engineering and product teams to integrate models into production.
Required Skills :
- 4 to 5+ years of hands-on experience in Data Science and NLP.
- Strong understanding of NER, RNN, LSTM, Transformers, GPT, and LLM architectures.
- Experience with spaCy, TensorFlow, PyTorch, and Hugging Face Transformers.
- Proficient in Python and its ML ecosystem (NumPy, pandas, scikit-learn, etc.).
- Familiarity with prompt engineering and fine-tuning LLMs is a plus.
- Excellent problem-solving and communication skills.
We're looking for a Mobile Engineering Lead (Flutter) who can own the end-to-end architecture, development, and delivery of our mobile applications. This is a hands-on leadership role for someone who has grown in product-based startups, understands rapid iteration, and can balance speed, quality, and scalability. You'll lead by example, writing production-grade Flutter code, shaping mobile architecture, and collaborating deeply with product and design teams. If you enjoy building consumer-facing products, taking ownership, and solving real user problems in a fast-paced startup environment, this role is for you.
Exp - 5 yrs - 9 yrs
Job Location - Bangalore [5 days Work from office]
Job Responsibilities:
- Lead and own mobile app development using Flutter (Android & iOS).
- Design and implement scalable, maintainable, and high-performance mobile architectures.
- Work closely with product managers and designers to translate requirements into intuitive user experiences.
- Drive a strong product mindset within the mobile team, focusing on user impact, engagement, and retention.
- Conduct code reviews, enforce best practices, and maintain high engineering standards.
- Mentor and guide mobile engineers through hands-on technical leadership and feedback.
- Manage mobile CI/CD pipelines, release cycles, and app store deployments.
- Monitor app performance, crashes, and production issues; ensure fast resolution.
- Stay updated with Flutter ecosystem trends and proactively improve the mobile stack.
Requirements:
- 4-7 years of experience in mobile application development, preferably in product-based startups.
- Strong hands-on experience with Flutter and Dart in production applications.
- Proven experience building and scaling consumer-facing mobile products.
- Solid understanding of mobile architecture patterns and state management.
- Experience integrating REST APIs, authentication, analytics, and third-party SDKs.
- Hands-on experience with performance optimization, debugging, and profiling.
- Experience with mobile CI/CD pipelines and app store release processes.
- Strong problem-solving skills and ability to work in fast-moving startup teams.
- Excellent communication and collaboration skills.
- Prior startup experience in health, fitness, or consumer internet products.
- Exposure to native Android (Kotlin) or iOS (Swift) for platform-specific integrations.
- Experience with offline-first apps, push notifications, deep linking, and background tasks.
- Familiarity with Agile methodologies (Scrum/Kanban).
- Experience working with analytics and data-driven product development.
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
Strong Partner Sales Profile (Cloud / Enterprise Ecosystem)
Mandatory (Total Experience): Must have 1+years of B2B sales experience in Cloud / IT Services OR partner / enterprise solution sales exposure within BFSI, Manufacturing, or Pharmaceutical sectors
Mandatory (Experience 1 – Partner / Channel Sales): Must have experience working with channel partners, system integrators, resellers, or strategic alliances
Mandatory (Experience 2 – Partner-Led Deal Execution): Must have supported or driven partner-led sales cycles, including requirement alignment, proposal coordination, and deal closure
Mandatory (Communication & Stakeholder Management): Must be able to coordinate across partners, internal teams, and end customers effectively
Mandatory (Education Background): Must have a technical or IT-oriented education background —BE / BSc IT / MSc IT is mandatory
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Looking for a techno-functional experience in SAP MDG for the following data objects: material, vendor, customer, GL, PC,CC with the core expertise in data replication using Web services method and well verse with migration processes.1. Key MDG Objects: Material master data Customer master data Vendor master data 2. Data migration Coordinate migration activities such as data mappings, data replication, data migration, preliminary data validation, coordinate bug fixing with migration 3. Communication Outstanding data migration skills from technical perspective Proven experience in SAP integrations from one SAP S/4 HANA to another Its mandatory for the consultant to have replication experience for large volume of data using web service |
Company: MyOperator
Location: Noida Sector 2
About Us:
MyOperator is a leading provider in the customer experience space, dedicated to transforming how businesses interact with their customers. We are seeking a strategic and visionary Customer Success Team Manager to spearhead our customer success department and drive impactful, long-term relationships with our valued clients.
Role Overview:
As the Customer Success Team Manager, you will be the strategic leader responsible for overseeing the entire customer success department. Your primary goal will be to design and execute customer success strategies that align with our company's business objectives, ensuring exceptional customer satisfaction and retention. You will lead a high-performing team of customer success professionals, identify process gaps, and implement innovative solutions to enhance the customer journey.
Requirements
Key Responsibilities:
Strategic Development and Execution:
Develop and implement comprehensive customer success strategies that align with MyOperator's business goals.
Set clear customer success targets and KPIs, establish processes and policies, and monitor key metrics to drive team and customer success.
Design and roll out programs that enhance customer experience, boost revenue potential, and minimize churn.
Team Leadership and Management:
Lead, mentor, and manage a team of customer success professionals, setting performance goals and providing ongoing coaching and feedback.
Conduct performance reviews and implement development plans to ensure team effectiveness and professional growth.
Customer Satisfaction and Retention:
Drive initiatives to maximize customer satisfaction and loyalty through proactive engagement, issue resolution, and the development of customer loyalty programs.
Analyze customer feedback and data to identify trends and areas for improvement, ensuring the team effectively addresses customer needs and concerns.
Operational Excellence:
Identify and address process gaps, implementing scalable solutions to improve the customer experience and operational efficiency.
Utilize data-driven insights to track progress towards success goals and inform decision-making.
Cross-Departmental Collaboration:
Collaborate with Sales, Marketing, Product, and other departments to ensure alignment with the company’s overall strategy and enhance the customer journey.
Share customer insights and feedback to drive product improvements and refine marketing strategies.
Recruitment and Training:
Oversee the hiring process for customer success professionals, ensuring the team is equipped to meet revenue goals and customer expectations.
Develop and deliver training programs to enhance team skills and knowledge, ensuring high standards of customer support.
Requirements:
Experience: 4-9 years of experience in customer-facing roles, including customer service, technical support, or sales, with a proven track record of managing and leading teams.
Leadership: Demonstrated experience in leading teams, setting strategic goals, and driving performance metrics.
Technical Proficiency: Strong understanding of technical concepts and the ability to communicate them effectively to both team members and customers.
Communication Skills: Excellent verbal and written communication skills, with the ability to engage effectively with customers, team members, and stakeholders.
Analytical Skills: Proven ability to use data to drive decisions, optimize performance, and identify areas for improvement.
Strategic Thinking: Ability to develop and implement strategies that align with company goals and enhance customer success.
Why Join Us:
At MyOperator, you’ll be at the forefront of customer success innovation, leading a dynamic team and driving meaningful change. We offer a collaborative work environment, opportunities for professional growth, and a commitment to your career development.
Apply Now:
If you’re a strategic leader with a passion for customer success and a track record of achieving results, we’d love to hear from you. Apply today to join our team and make an impact at MyOperator!
LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.
You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.
Responsibilities:
Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations
Requirements:
Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills
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Solution design documentation, development ownership, mentoring and driving the most comprehensive trade terminal for our super users for the iOS Mobile platform
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Ensuring the team adhere to the best industry technical practices and meet the business objective
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Ensuring responsiveness of the application
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Monitor reliability and performance metrics of the system to provide an impeccable experience to the user
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Co-ordinate with developers, testers and keeps the product manager well informed of the status of the development effort to senior managers
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Mentoring of the team
-
Code review of team members and code quality ownership
-
Collaborate with team, cross-functional teams to define and design new features
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Work with data sources, APIs, 3rd party SDKs
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Unit-test code for robustness, including edge cases, usability and general reliability
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Work on bug identification and fixing
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Troubleshooting and triage of field issues
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Improving application performance
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App management and monitoring on iTunes
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Produce high-quality code and experience with security implementation
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identifying risks implementing security patches procedures
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Continuously discover, evaluate, and implement new technologies to maximize development efficiency
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Keep abreast of new trends and best practices in mobile development
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B.E., B.Tech., M.C.A. or equivalent technical qualification in Computer Science,
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Engineering or a related subject
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7 to 10 years of proven software development experience in iOS development
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Experience in mentoring iOS developers
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Must experience with Swift
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Experience with Objective-C is a plus
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Experience working with remote data via REST and JSON must
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Experience with API integration, Third-party SDKs, Charts, Payment Gateway, Sockets is a plus
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Experience in HLD, LLD designing must
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Solid understanding of the full mobile development life cycle.
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Mobile Application security standards is a plus
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Experience in mobile app architecture, frameworks, design patterns must
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Experience in writing Unit Test cases is a plus
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Experience in performance measurement of application is plus
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Working knowledge of the general mobile landscape, architectures, trends, and emerging technologies
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Experience in using JIRA, TFS
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Experience of CI/CD pipeline with tools used for Code coverage, code bugs identification, test automation, GIT
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Experience in Firebase Crashlytics, Application Performance must
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Experience in driving scrum team and follow agile practices
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Fundamental knowledge of the BFSI sector is a plus
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Strong communication skills
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Project Estimation & Planning
Our current stacks Scala Python Angular We do have our core backend developed in Scala with lot of machine learning components(Python and Scala) . And MVPs with spark architecture.
Prefer some one who is good at Front-end development and want to take career forward as Full-stack developer .
Required Skills in order : Angular 2+, Javascript, HTML, CSS, Scala, Python











