Software Test Engineer

Role & Responsibilities

Contributes to the technical vision for an engineering team, aligning with company-wide strategies and goals.

Contributes to the design and development of robust, scalable, and user-friendly web applications.

Create innovative solutions using the latest technologies and tools for front end development and backend development.

Collaborate with product managers, designers, and engineers to define product direction and to deliver complex applications.

Conduct thorough code reviews and provide constructive feedback to ensure high-quality code.

Mentor and guide junior engineers, fostering a culture of continuous learning and improvement.

Troubleshoot and debug complex issues in production environments, working closely with customer support and operations teams to ensure timely resolution and minimal disruption to business operations

Job Opening: Quality Manager – Rice Processing

📍 Location: Gandhidham

🏢 Department: Quality & Production

🕒 Employment Type: Full Time

📅 Experience: 7–10 Years

Job Summary

We are looking for an experienced Quality Manager to oversee and ensure quality standards across all stages of rice procurement, processing, storage, polishing, sorting, packing, and dispatch. The role requires strong expertise in rice quality parameters, laboratory testing, compliance standards, and coordination with suppliers and production teams to deliver consistent, high-quality products.

Key Responsibilities

Quality Control & Assurance

• Implement and monitor quality standards for raw, semi-processed, and finished rice
• Conduct checks on grain length, moisture, purity, color, broken %, foreign matter, and aroma
• Approve final batches before dispatch as per contract and market requirements

Laboratory & Testing

• Supervise laboratory testing and calibration of equipment
• Ensure accurate documentation and reporting of test results

Supplier & Procurement Coordination

• Inspect incoming rice from suppliers and traders
• Evaluate and onboard suppliers based on quality parameters
• Coordinate with procurement to reject substandard materials

Process Improvement & Compliance

• Drive continuous improvement in milling, grading, and sorting
• Ensure compliance with FSSAI, ISO, HACCP, BRC, and export standards
• Support internal and external quality audits
• Handle customer complaints and perform root-cause analysis

Team Leadership & Reporting

• Train mill operators, sorting staff, and lab technicians
• Prepare daily, weekly, and monthly quality reports

Qualifications & Experience

• Bachelor’s degree
• 7–10 years of experience in rice mill operations or rice export industry
• Strong knowledge of Basmati & Non-Basmati rice processing
• Experience with color sorters (Satake, Bühler), polishers, and graders preferred

Key Skills & Competencies

• Quality analysis and problem-solving
• Process planning and monitoring
• Knowledge of milling parameters, moisture control, and storage
• Team leadership and communication skills

Performance Indicators

• Batch rejection rate
• Customer complaint rate
• Yield efficiency and grain breakage rate
• Consistency in final product quality

● Analyze business requirements and design test cases for functional and non-functional

testing.

● Identify, document, and track defects, ensuring thorough root cause analysis and resolution.

● Ensure high-quality application releases for UAT and Production.

● Collaborate with cross-functional teams during sprint planning, grooming, and

retrospectives.

● Conduct API testing and validate system integrations.

● Perform database testing to ensure data accuracy and integrity.

● Execute regression testing for unchanged features.

● Ensure compliance with company QA standards, policies, and best practices.

● Maintain test strategies, processes, and result documentation.

● Develop and manage test automation frameworks using tools like Cypress and Playwright.

Location-- Goregaon

Job Description:

As a Machine Learning Engineer, you will:

• Operationalize AI models for production, ensuring they are scalable, robust, and efficient.
• Work closely with data scientists to optimize machine learning model performance.
• Utilize Docker and Kubernetes for the deployment and management of AI models in a production environment.
• Collaborate with cross-functional teams to integrate AI models into products and services.

Responsibilities:

• Develop and deploy scalable machine learning models into production environments.
• Optimize models for performance and scalability.
• Implement continuous integration and deployment (CI/CD) pipelines for machine learning projects.
• Monitor and maintain model performance in production.

Key Performance Indicators (KPI) For Role:

• Success in deploying scalable and efficient AI models into production.
• Improvement in model performance and scalability post-deployment.
• Efficiency in model deployment and maintenance processes.
• Positive feedback from team members and stakeholders on AI model integration and performance.
• Adherence to best practices in machine learning engineering and deployment.

Prior Experience Required:

• 2-4 years of experience in machine learning or data science, with a focus on deploying machine learning models into production.
• Proficient in Python and familiar with data science libraries and frameworks (e.g., TensorFlow, PyTorch).
• Experience with Docker and Kubernetes for containerization and orchestration of machine learning models.
• Demonstrated ability to optimize machine learning models for performance and scalability.
• Familiarity with machine learning lifecycle management tools and practices.
• Experience in developing and maintaining scalable and robust AI systems.
• Knowledge of best practices in AI model testing, versioning, and deployment.
• Strong understanding of data preprocessing, feature engineering, and model evaluation metrics.

Employer:

RaptorX.ai

Location:

Hyderabad

Collaboration:

The role requires collaboration with data engineers, software developers, and product managers to ensure the seamless integration of AI models into products and services.

Salary:

Competitive, based on experience.

Education:

• Bachelor's degree in Computer Science, Information Technology, or a related field.

Language Skills:

• Strong command of Business English, both verbal and written, is required.

Other Skills Required:

• Strong analytical and problem-solving skills.
• Proficiency in code versioning tools, such as Git.
• Ability to work in a fast-paced and evolving environment.
• Excellent teamwork and communication skills.
• Familiarity with agile development methodologies.
• Understanding of cloud computing services (AWS, Azure, GCP) and their use in deploying machine learning models is a plus.

Other Requirements:

• Proven track record of successfully deploying machine learning models into production.
• Ability to manage multiple projects simultaneously and meet deadlines.
• A portfolio showcasing successful AI/ML projects.

Founders and Leadership

RaptorX is led by seasoned founders with deep expertise in security, AI, and enterprise solutions. Our leadership team has held senior positions at global tech giants like Microsoft, Palo Alto Networks, Akamai, and Zscaler, solving critical problems at scale.

We bring not just technical excellence, but also a relentless passion for innovation and impact.

The Market Opportunity

Fraud costs the global economy trillions of dollars annually, and traditional fraud detection methods simply can't keep up. The demand for intelligent, adaptive solutions like RaptorX is massive and growing exponentially across industries like:

• Fintech and Banking
• E-commerce
• Payments

This is your chance to work on a product that addresses a multi-billion-dollar market with huge growth potential.

The Tech Space at RaptorX

We are solving large-scale, real-world problems using modern technologies, offering specialized growth paths for every tech role.

Why You Should Join Us

1. Opportunity to Grow: As an early-stage startup, every contribution you make will have a direct impact on the company’s growth and success. You’ll wear multiple hats, learn fast, and grow exponentially.
2. Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
3. Collaborate with the Best: Work alongside some of the brightest minds in the industry. Learn from leaders who have built and scaled successful products globally.
4. Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

• Expertise in python and OOPS
• Knowledge of FASTAPI and Rest API
• Knowledge of SQLAlchemy 
• Programming and Debugging Skills
• NoSQL skills will be advantage
• Cloud development and kubernetes knowledge is a plus
• socket.io programming 

💥 What will you do?

As a Lead Product Designer, you will

• Own the Core  Product, its performance, and shape the direction it needs to evolve in. We are at a stage where we are snowballing across geographies, and a large part of your role would be envisioning and executing the correct product strategy for localized expansion.

• Act as a leader and coach within the Product Design team, collaborating with and mentoring junior designers, hiring new folks, and at the end of it all, craft a culture that you and we can be collectively proud of. 

• Drive cross-functional alignment and use storytelling backed by factual data to build conviction within the team and the organization about the problems we should be solving. 

• Partner closely with cross-functional (product, engineering, and go-to-market) teams to regularly ship experiences that drive our North Star Metrics and solve user pain points.

• Analyze incoming user feedback and make sense of the information to ideate upon possible product and revenue opportunities and contribute towards the product roadmap. 

• Run parallel tracks with the help of junior team members. We follow a breadth-first and depth later approach which almost always keeps us on our feet. 

• Be responsible for seamless execution including last-mile delivery and post-release analysis to decipher the impact of the efforts. 

• Work through design problems from beginning to end: translating business strategy, research insights, and data into ideas that form disruptive new products and features and improving and simplifying existing workflows.

• Own and manage the design system and provide direction to evolve it as and when necessary to keep up with best practices and design trends

• Sketch and prototype ideas to quickly assess the viability and design the workflows and fine-grained details of interactions. We build in close collaboration with customers and boast of a super-engaged user council. So, you will have access to our entire user base to seek any validation all the time.
  
  
  

  🙋 What makes you a great addition to the team? 
  
  

  We have a meritocratic culture, so not meeting any of these pointers below does not affect your candidacy in any negative way. However, in general, it helps to have

  • You use data and research to inform your design decisions and are able to assess the impact of your team’s designs with quantitative and qualitative data.

  • You have Some experience with fast-paced enterprise designs and have led designers to positive outcomes in the past. 

  • You enjoy working on forward-looking projects. Given the early days of the industry, you will get ample opportunities to lead on projects without many solutions to benchmark against.  

  • You have experience partnering with product managers to envision long-term product vision, strategy, and roadmap.  

  • You understand the importance of concrete business metrics product-driven acquisition, customer engagement and retention, onboarding-driven activation, and naturally think along these lines. 

  • You enjoy the process of discovery with customers and bring a strong sense of empathy and a user-centric approach to design.

  • You have an eye for pixel perfection and micro-interactions, and you enjoy coaching folks to achieve outcomes through nudges. 

  • Exposure to Crypto and Blockchain is excellent, but we believe that the domain knowledge can be gathered pretty quickly if you have a learner’s mentality. We boast of a thorough onboarding process that will ensure that you seamlessly transition into the blockchain space irrespective of where you are today. 

• • High school diploma or GED. 

• • Bachelor’s degree in business administration or management, Marketing, or related field is preferred. 

• • Proficiency in all Microsoft Office applications and Customer Relationship Management (CRM) software. 

• • Proven sales experience with 1-3 years, Freshers also can participate. 

• • Strong analytical and problem-solving skills. 

• • Excellent negotiation and consultative sales skills. 

• • Effective communication skills. 

• • Exceptional customer service skills. 

• • Proven success in winning long-term deals. 

• • Sales experience is mandatory. 

• • 2-wheeler is mandatory. 

 Field Sales Executive Responsibilities: 

• • Making field visits, Cold Calls on daily basis, generating leads, sharing quotation coordinating with the team and follow-ups. 

• • Maintaining long-lasting relationships with existing customers through exceptional after-sales service. 

• • Actively sourcing new sales opportunities through cold-calling and emailing. 

• • Developing in-depth knowledge of product features and benefits. 

• • Utilizing direct meetings to build relationships with new customers. 

• • Processing customers' purchase orders and liaising with the Finance department to ensure the timely delivery of ordered products to end customer. 

• • Advising customers on suitable product selection based on their needs and specifications. 

• • Creating a sales pipeline to accurately reflect the relative placement of sales prospects in the purchasing process. 

• • Following up on sales inquiries that are made by potential customers through website chats, emails, and inbound calls. 

• • Setting up face-to-face meetings between potential customers and team Sales Representatives. 

• • Coordinating with team for quotation, customer assistance, follow-up, customer handling based on their requirement, and engage with team.