
ROLES AND RESPONSIBILITIES:
As the G1 Head of Technical Support, you will be the central force ensuring an exceptional post-go-live technical experience across the company suite. You’ll oversee L3 support operations across all products, manage customer escalations, drive cross-team resolution, and build processes for visibility, accountability, and continuous improvement. This is a cross-functional, high-impact leadership role, working across engineering, QA, DevOps, customer support, and product teams to ensure that every issue is tracked, resolved, and learned from—within SLA and with a customer-first mindset.
YOU WILL-
Incident & Ticket Management:
- Own end-to-end L3 technical support governance across company products (ERP, POS,OMS, etc.)
- Ensure customer issues are responded to and resolved within defined SLAs
- Drive prioritization, root cause resolution, and engineering coordination across product teams
- Personally manage and de-escalate high-severity issues with customers and internal teams
Process & Metrics Ownership:
- Define, track, and optimize support processes, SLAs, escalation workflows, and ticket lifecycle practices
- Build dashboards for SLA adherence, issue aging, bug trends, defect density, etc.
- Establish strong feedback loops to engineering/product based on recurring issues
RCA & Knowledge Management:
- Ensure timely Root Cause Analysis (RCAs) for all S1/S2 issues with actionable insights
- Lead trend analysis to preempt issues and recommend long-term fixes or product hardening
- Build and maintain a knowledge base to improve internal resolution efficiency
Customer Interaction:
- Engage with enterprise customers on complex or long-running tickets
- Serve as a trusted escalation point for strategic clients
- Collaborate with Customer Success and Implementation teams for seamless client experience
Collaboration & Leadership:
- Coordinate with Product Architects and Engineering Heads to ensure ticket resolution
- Build and mentor a lean L3 support team or tiger squads when required
- Drive a culture of accountability, learning, and proactiveness in technical support
IDEAL CANDIDATE:
- 11+ years of experience in technical support or L3 support leadership roles in SaaS or high- scale enterprise products
- Strong experience handling customer escalations, RCAs, and cross-team ticket resolution
- Solid technical background (understanding of APIs, microservices, database queries, logs, debugging)
- Expertise in support tooling: Freshdesk, Jira, ServiceNow, etc.
- Excellent communication skills—able to speak fluently with both customers and engineers
- Data-driven mindset for reporting, insights, and stakeholder updates
- Experience working in retail tech, ERP, or platform businesses is a big plus
PERKS, BENEFITS AND WORK CULTURE:
- Comprehensive health insurance coverage.
- Excellent rewards and recognition policy.
- Transparent compensation policy with no unnecessary deduction in CTC.
- Annual company off-site and a variety of events, celebrations throughout the year.
- Travelling opportunities between our offices across the country.
- Annual company walkathon & related sporting events.
- Quarterly Coffee with CEO.

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● Proven experience in training, evaluating and deploying machine learning models
● Solid understanding of data science and machine learning concepts
● Experience with some machine learning / data engineering machine learning tech in Python (such as numpy, pytorch, pandas/polars, airflow, etc)
● Experience developing data products using large language model, prompt engineering, model evaluation.
● Experience with web services and programming (such as Python, docker, databases etc.)
● Understanding of some of the following: FastAPI, PostgreSQL, Celery, Docker, AWS, Modal, git, continuous integration.
Duration: 6 months with possible extension
Location: Remote
Notice Period: Immediate Joiner Preferred
Experience: 4-6 Years
Requirements:
- B Tech/M Tech in Computer Science or equivalent from a reputed college with a minimum of 4 – 6 years of experience in a Product Development Company
- Sound knowledge and application of algorithms and data structures with space and me complexities
- Strong design skills involving data modeling and low-level class design
- Good knowledge of object-oriented programming and design patterns
- Proficiency in Python, Java, and Golang
- Follow industry coding standards and be responsible for writing maintainable/scalable/efficient code to solve business problems
- Hands-on experience of working with Databases and the Linux/Unix platform
- Follow SDLC in an agile environment and collaborate with multiple cross-functional teams to drive deliveries
- Strong technical aptitude and good knowledge of CS fundamentals
What will you get to do here?
- Coming up with best practices to help the team achieve their technical tasks and continually thrive in improving the technology of the product/team.
- Driving the adoption of best practices & regular Participation in code reviews, design reviews, and architecture discussions.
- Experiment with new & relevant technologies and tools, and drive adoption while measuring yourself on the impact you can create.
- Implementation of long-term technology vision for your team.
- Creating architectures & designs for new solutions around existing/new areas
- Decide on technology & tool choices for your team & be responsible for them.
Company Name : LMES Academy Private Limited
Website : https://lmes.in/
Linkedin : https://www.linkedin.com/company/lmes-academy/mycompany/
Role : Machine Learning Engineer
Experience: 2 Year to 4 Years
Location: Urapakkam, Chennai, Tamil Nadu.
Job Overview:
We are looking for a Machine Learning Engineer to join our team and help us advance our AI capabilities.
Requirements
• Model Training and Fine-Tuning: Utilize and refine large language models using techniques such as distillation and supervised fine-tuning to enhance performance and efficiency.
• Retrieval-Augmented Generation (RAG): Good understanding on RAG systems to improve the quality and relevance of generated content.
• Vector Databases: Familiar with vector databases to support fast and accurate similarity searches and other ML-driven functionalities.
• API Integration: Good in REST APIs and integrate third-party APIs, including Open AI, Google Vertex, and Cloudflare Workers AI, to extend our AI capabilities.
• Generative AI: Experience with generative AI applications, including text-to-image, speech recognition, and text-to-speech systems.
• Collaboration: Work collaboratively with cross-functional teams, including data scientists, developers, and product managers, to deliver innovative AI solutions.
• Adaptability: Thrive in a fast-paced environment with loosely defined tasks and competing priorities, ensuring timely delivery of high-quality results.
Responsibilities:
- Collaborate with cross-functional teams including front-end developers, designers, and system administrators to develop robust and scalable server-side applications.
- Design and implement RESTful APIs and services using Node.js, ensuring efficient data handling and integration.
- Develop database schemas and models for MongoDB, optimizing queries and ensuring data integrity.
- Implement data migration and transformation tasks between different data sources.
- Write efficient and reusable code, following best practices and coding standards.
- Conduct thorough testing and debugging of applications to identify and fix issues promptly.
- Collaborate with DevOps team to deploy applications on servers or cloud platforms.
- Continuously monitor application performance and optimize it for scalability and reliability.
- Stay updated on emerging technologies and trends, actively suggesting improvements and innovative solutions.
Requirements:
- Strong proficiency in Node.js and JavaScript.
- Solid understanding of server-side development and asynchronous programming concepts.
- Experience working with NoSQL databases (e.g., MongoDB).
- Knowledge of database design and query optimization techniques.
- Familiarity with web application security principles and best practices.
- Proficiency in using version control systems (e.g., Git).
- Good understanding of agile development methodologies.
- Excellent problem-solving and analytical skills.
- Effective communication and collaboration abilities.
We are looking for people who have done SAP SuccessFactors
implementation in one or more SAP SuccessFactors BizX modules,
and who can demonstrate real impact within businesses and truly
understand how to successfully transform business processes. The
candidate should have a good understanding of the end-to-end
employee life cycle and understand the industry-specific HR
processes. The candidate should have experience in conducting
customer workshops and demonstrate the leading practices to
CXO’s.
Required Skills and Experience
To qualify for the role you must have:
Experience of SAP SuccessFactors BizX implementation projects,
performing a variety of roles through the full project life-cycle with
specialist functional knowledge of SAP SuccessFactors BizX
modules
Technical understanding of XML and ability to work comfortably in
delivering client.
Ability to develop strong relationships with the client
MUST Excellent written and verbal communication skills including
presentations, chairing meetings, workshop facilitation, business and
report writing
Ability to manage work streams within a large project (client-facing
or internal)
Educated to Graduate / Postgraduate level
SAP Background is preferred.
Relevant Experience:
• 2-8 years
• Should have done at least 1 end-to-end Implementation.
Qualification:
• MBA/ PGDM/ B.E/ B.Tech/ M.E/ M.Tech/ MCA
• Should have throughout first class in the entire Academic
background.
Essential Skills:
• Excellent Communication and Interpersonal Skills
We are looking for a high-energy, detail-oriented, and technically-savvy Quality Assurance
Engineer (QAE). Should be an excellent individual contributor capable of understanding and
driving test execution with minimal help. Who can work towards understanding application
performance, functionality, and features to great depth enabling them to report issues, take
ownership and drive them to closure.
What will you be doing?
Develop and execute automated tests and test plans
Efficiently execute test cases across all functional areas of the products(API and App)
Review product user interface for conformity to design guidelines
Find, isolate, document, regress, and track bugs through resolution
Interpret and report testing results, and be a vocal proponent for quality in every phase of
the development process
Work with Engineering and product to understand the overall product requirements and
technical architecture and how each feature is implemented
Ensure the highest quality product delivery with security.
Evaluating and integrate open source and in house developed toolsets
What will you need ?
Bachelor/Master degree in CS or related field from a reputed college
2-6 years of experience working as a Quality Assurance Engineer
Experience in manual testing for Application and APIs
Experience in automation testing using available framework.
Strong knowledge of QA methodologies, testing frameworks and tools
Demonstrated experience in test planning, test design, test execution and reporting.
Excellence in technical communication with peers and non-technical partners.
Understanding & experience with software design pattern, restful APIs and microservice
architecture
Prior experience in start-ups or health-tech will be a plus
- Should have expert level knowledge to Design, Develop and test Web Apps with Angular versions 6 and above.
- Primary Skills – Angular6+, HTML, CSS3, JavaScript.
- Node JS as backend will be advantage
- Knowledge of Mongo, MySql will be advantage
- Highly skilled at front-end engineering using Object-Oriented JavaScript, TypeScript, various JavaScript,TypeScript patterns and frameworks.
- Should have experience in publishing and consuming Services using REST API
- Excellent time-management, multi-tasking, and communication skills. Capable of handling multiple projects and related complexities at the same time.









