Product Owner/Product Manager - SaaS Platform

Job Title: QA Automation Engineer

Key Responsibilities & Skills:

• Strong hands-on experience in Java automation testing
• Expertise in Selenium for web application automation
• Experience with BDD frameworks using Cucumber (feature files and step definitions)
• Hands-on experience in API automation using Rest Assured
• Working knowledge of Python automation scripting
• Experience with Robot Framework for test automation
• Ability to design, develop, and maintain scalable automation frameworks
• Experience in test execution, reporting, and defect tracking
• Strong analytical, problem-solving, and communication skills

Job Description

About the Role

We are seeking an experienced and hands-on Lead AI Engineer with 8-9 years of experience in developing, fine-tuning, and deploying machine learning and deep learning models, including Generative AI systems. The ideal candidate will have strong expertise in classification, anomaly detection, and time-series modeling, along with deep experience in Transformer-based architectures and modern LLM ecosystems.

This role requires technical leadership, architectural decision-making, and mentoring of AI engineers, while actively contributing to building scalable AI solutions. Expertise in model optimization, quantization, and Retrieval-Augmented Generation (RAG) pipelines is highly desirable.

Responsibilities

• Lead the design, development, and deployment of ML and deep learning models for classification, anomaly detection, forecasting, and natural language understanding tasks.
• Architect and build scalable AI and Generative AI solutions, including RAG pipelines for document search, Q&A, summarization, and enterprise knowledge systems.
• Design, train, and fine-tune deep learning models including RNNs, GRUs, LSTMs, and Transformer architectures (e.g., BERT, T5, GPT).
• Drive the fine-tuning and adaptation of large language models (LLMs) using techniques such as Supervised Fine-Tuning (SFT) and Parameter-Efficient Fine-Tuning (PEFT) methods like LoRA or QLoRA.
• Apply model optimization techniques such as quantization, pruning, and efficient inference strategies to improve latency and reduce compute and memory footprint in production systems.
• Define and implement evaluation frameworks, track model performance, monitor model drift, and drive continuous model improvement.
• Lead collaboration with data engineering, backend, platform, and DevOps teams to productionize AI solutions using scalable infrastructure and CI/CD pipelines.
• Provide technical mentorship and guidance to junior and mid-level AI engineers and contribute to best practices in ML engineering.
• Ensure clean, reproducible code, maintain experiment tracking, documentation, and version control of models and datasets.
• Stay up to date with the latest advancements in LLMs, Generative AI, and AI infrastructure, and help drive adoption of new technologies.

Required Skills & Qualifications

• 8-9 years of hands-on experience in machine learning, deep learning, or data science roles.
• Strong programming expertise in Python and ML/DL libraries such as scikit-learn, pandas, PyTorch, and TensorFlow.
• Deep understanding of machine learning algorithms, deep learning architectures, and sequence/NLP modeling techniques.
• Extensive experience with Transformer models and open-source LLM ecosystems (e.g., Hugging Face Transformers).
• Hands-on experience building Generative AI applications and RAG-based systems using frameworks such as LangChain or LlamaIndex.
• Experience with model optimization and quantization techniques (dynamic/static quantization, INT8, etc.) for efficient inference.
• Strong understanding of embeddings, vector databases, and retrieval systems (e.g., FAISS, Pinecone, Azure AI Search).
• Experience with model evaluation, monitoring, and performance optimization in production environments.
• Familiarity with containerization (Docker), experiment tracking (MLflow), and CI/CD pipelines.
• Proven ability to lead technical initiatives and mentor engineering teams.

Preferred Qualifications

• Experience fine-tuning LLMs using SFT, LoRA, or QLoRA on domain-specific datasets.
• Exposure to MLOps platforms such as SageMaker, Vertex AI, or Kubeflow.
• Experience with distributed data processing frameworks like Spark and workflow orchestration tools such as Airflow.
• Contributions to research papers, technical blogs, patents, or open-source projects in ML, NLP, or Generative AI.
• Experience designing enterprise-scale AI platforms or AI-powered products.

Franchise Sales Manager to lead our franchise expansion across multiple cities in India. The role involves extensive client interaction, legal documentation, and operational oversight.  

Key Responsibilities:

- Drive franchise sales and onboard new franchise partners across India.  

- Present the franchise model and conduct multiple meetings to close deals.  

- Handle end-to-end legal documentation and ensure timely agreement signings.  

- Manage complete setup of franchise stores, ensuring seamless execution.  

- Build strong relationships with franchise partners and guide them on ROI and break-even strategies.  

- Collaborate with the marketing team to align franchise sales efforts with promotional activities.  

- Provide regular progress reports to the Chief Executive Officer.  

- Travel frequently to meet clients, conduct site visits, and oversee franchise operations.  

Qualifications & Skills:

- Proven experience in franchise sales or a similar role.  

- Strong understanding of franchise models, ROI, and break-even analysis.  

- Excellent communication, negotiation, and relationship-building skills.  

- Proficiency in handling legal documentation and agreements.  

- Ability to work under pressure and achieve sales targets.  

- Willingness to travel extensively.  

- Strong organizational and project management abilities.  

 Key Responsibilities:

• Perform manual testing for web and mobile applications to ensure high-quality releases.
• Conduct API testing using tools like Postman or similar.
• Perform database testing and write SQL queries to validate data in backend.
• Utilize Charles Proxy or similar tools(like DevTools) for network traffic analysis and debugging.
• Collaborate closely with product managers, developers and other stakeholders to understand requirements and clarify expectations.
• Document test cases, test plans, and report defects efficiently.
• Ensure good software quality standards and best practices.
• Lead and mentor junior testers if required.

Required Skills:

• Excellent communication skills both written and verbal.
• Strong experience in API testing and database validation.
• Proficiency in SQL queries for data validation and debugging.
• Hands-on experience with web and mobile app testing.
• Ability to work with network proxy tools such as Charles Proxy.
• Ability to interact with cross-functional teams and drive discussions on requirements and issue resolutions.
• Experience in Azure DevOps for defect tracking and test management tools.

Responsibilities:

. Create exclusive distributors, super stockiest and business associates for the company.

.Guide them and coordinate them to achieve the target towards the entire growth of the company.

.Finding and developing new marketing ideas and improving sales.

. Observe all the stock reports, product orders, re-order etc.

Requirements:

.Bachelor's degree and experience in business, marketing or related field.

.Strong communication skills.

. Basic knowledge of Word, excel, and PowerPoint.

.Minimum age is 30 and the maximum is 60.

CRM Technical Developer

Country: Malaysia

Cities: Kuala Lumpur

Area of expertise: Customer Relationship Management (CRM)

Job Description

You're a problem solver, knowing the systems, applications, and processes that will make a client happy, no matter how complex the IT solution and integrating architecture. You bring expertise and creativity to designing activities and building system prototypes.

About the job

Business and IT don't always speak the same language. It can be difficult for companies to know how IT can help tackle their problems and increase profitability. They need you to understand their business and translate their needs into a software solution that will realize results. 

As a CRM Technical Developer, you will be familiar with at least one leading commercial CRM system. You will assist delivery teams with CRM solution planning, analysis, designing, building, and testing. You will be considered a product specialist that is also responsible for providing support in CRM issue, customer concern, and resolution. This role is typically focused on more complex assignments, often requiring diverse inputs, processes, and/or outcomes with room for discretion within established parameters.

Day-to-day you will:

• Assist across all phases of projects (e.g. Plan, Analyze, Design, Build, and Test)
• Demonstrate technical knowledge to design and implement CRM solutions
• Research customer issues that may be non-standard in order to offer solutions
• Support design of conceptual architecture and technical solutions
• Ensure project quality meets standards through critical metric identification and testing plan
• Identify process gaps and work cross-functionally to formulate improvement plans
• Travel as needed

Key Role Skill & Capability Requirements:

You are passionate about working with a global technology leader to solve business-critical problems for some of the top companies in the world. You are a fast learner, a self-starter, and a creative problem solver. You are passionate about software and its potential to move organizations forward through innovation.

Your technical skills may include:

• Design, develop, deploy, customize and integrate Microsoft Dynamics CRM with other systems
• Configure and customize on standard workflows, dashboards, forms, views and develop standard or custom reports
• Develop reports or dashboards using PowerBI and integrate with D365CS
• Develop web application, web API, console application, window services to integrate with D365CS
• Develop a script to migrate existing CRM to D365CS
• Complete the documentation required including the source codes, technical specification, and unit test result
• Support SIT, UAT, and production and fix the defect within the agreed SLA
• Strong understanding of Microsoft Dynamic365 CRM, with domain knowledge in Customer Service and Telco industry - this would be a plus point
• Develop Power BI reports and integration to Microsoft Dynamic 365 CRM

Your non-technical skills may include:

• Client management skills and the ability to work with customers to develop and manage an action plan
• Some consulting experience working with external clients
• Experience working with global/offshore teams
• Excellent communication skills

Preferred Education Background:

Bachelor's degree in a relevant field preferred.

Preferred Years of Work Experience:

• Minimum 3 year of Microsoft Dynamic 365 CRM and Power BI development experiences
• Minimum 3 year of experience in ASP.NET C# development, JavaScript, HTML 5, CSS and other web base technology and tools
• Experience with Microsoft Dynamics 365 Field Service is essential