Mechanical Draftsman - Ghatkopar - WFO

Basic (Must Have):

· Minimum of 4+ years Angular/Frontend Development

· Minimum of 4+ years Node Development

· Proficiency in Angular and the latest versions

· Proficiency with JavaScript and HTML5 / CSS 2 / SASS

· Hands-on experience with OOJS, ES6 Programming, TypeScript & JavaScript

· Deep knowledge of Angular best practices and commonly used modules

· Experience with Security, HTTP/HTTPS, Authentication and Authorization

· Experience with Server-Side Rendering and Unit Testing Frameworks

· Familiarity with Code Quality tools and processes (ESLint, flowerrors, sonar, etc.)

Preferred Skills:

· NPM Ecosystem: Boiler plate configurations & NPM Packaging/scripts

· Usage of tools like Webstorm / Visual Studio Code, Jira, Confluence, GGI, version management, and build tools

· Understanding of cross-browser compatibility and accessibility standards (W3C Guidelines)

· Experience with building the infrastructure for serving the front-end app and assets

· Ability to provide SEO solutions for single page apps

Any Other:

· Professional, precise communication skills

· Strong team player with a commitment to perfection

· A thorough understanding of all of the components of the platform and infrastructure is required

· Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system

Key Responsibilities:

· Implement a complete user interface in the form of a mobile and desktop web app, with a focus on performance

· Create modules and components and couple them together into a functional app

· Create custom, general use modules and templates which extend the elements and modules of core Angular

· Write tested, idiomatic, and documented JavaScript, HTML, and CSS

· Coordinate the workflow between the graphic designer, the HTML coder, and yourself

· Cooperate with the back-end developer in the process of building the RESTful API and communicate with external web services

· Architect and automate the build process for production, using task runners or scripts

· Write extensive unit tests using automated TDD tasks and create e2e test suites for all components (running them with Protractor or alternative)

· Create configuration, build, and test scripts for Continuous Integration environments

· Validate user actions on the client side, providing responsive feedback, and writing non-blocking code (resorting to multi-threading when needed)

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.

• 8 - 12 years of professional experience in .Net Framework 2.0/3.5/4.0/4.5 (C#, ASP.Net) and ADO.Net. Strong knowledge of software development, debugging and deployment tools Knowledge and experience of SQL Server (Any version). 
• Knowledge of Versioning tools. Strong experience working with HTML, CSS, JavaScript, and jQuery. 
• Should have Good Problem Solving and Analytical Skills Ability to work independently and as part of a team Ability to handle individual projects as well as team. 
• Understanding of MVC, WCF, WPF and any mobile technology – beneficial Ability to learn new technology in a short period.

ROLES

We're seeking a qualified sales associate to sell annual car and bike Scotty subscription products that our customers have grown to rely on. The sales associate will utilize their skills to generate high-quality leads, build strong relationships with customers, and close deals. The ideal candidate has skills and demonstrates the ability to showcase our offerings compellingly. 

Job Location: Work from home

Selection process: HR Round followed by group discussion and sales manager round.

Qualification: Any Graduate/Post Graduate

Salary offered: As per industry standards

Working days: 6 days          Sunday is off

Shifts:10:00am -7:00pm

Mandatory language: English 

Laptop/wi-fi: candidates are to use their own laptops,

Additional Compensation: If applicable, this will be decided on the basis of your designation.

Key responsibilities:

1. Creating an inspiring team environment with an open communication culture

2. Setting clear team goals

3. Oversee day-to-day operation

4. Monitor team performance and report

5. Motivate team members

6. Generate sales through customer referrals

7. Review the sales team performance and explore sales improvement initiatives to achieve the sales targets for the project

8. Conduct sales review meetings with the sales team on a periodic basis

9. To recruit good quality prospective sales candidate and ensure that they are completing probation in order to achieve the sales target set by the company

10) Handling a team of 15-20 members.

Experience - 7 to 8 Years

Location - Remote

Shift - US Shift (Timing 7pm to 3am IST OR 8pm to 4am IST)

Notice Period – Immediate/ 15 Days/ 1 month

Job Description:

We are looking for a Java developer experienced in developing microservices using a framework such as Quarkus, Micronaut or Spring Boot. Your primary responsibility will be to implement these microservices to a high level of quality.

Responsibilities:
- Create REST APIs to specification.
- Create documentation for the individual microservices.

Technologies:
JAVA 8, J2EE, Spring, Spring Boot, Spring Data JPA, Tomcat, SHELL Script, Hibernate, etc

Skills:

• Strong Understanding of Microservice Architecture
• Minimum 6 years of Proven/ Implementation experience in developing and deploying microservices.
• Experience working on J2EE based applications.
• Experience in performing Technical Assessment of current state of systems/ Debugging.
• Good skills in debugging.
• Strong in development of Spring Boot and Spring applications.
• Strong in development of Restful API using JAX-RS and JSON
• Good knowledge possibly experienced with AWS components like S3, Lambda, API Gateway,
• Dynamo DB, CloudWatch.

Desired Candidate Profile

Responsibilities:

As a Power Platform developer, you will be responsible for analysis, prototyping, designing, and building solutions to meet business requirements. The ideal candidate is a self-starter and creative developer who can intake business automation requests, research how they can be met using the Microsoft cloud, design and build solutions to meet those needs, and present working prototypes to showcase process automation opportunities.

Requirements:

• 3+ Years of Knowledge of IT systems development experience, with a primary focus on the Microsoft solution stack
• Hands-on Knowledge of Power Platform, Microsoft technologies and Hybrid/Cloud technologies
• Understanding of the capabilities of Power Apps, Power Automate, PowerBI, Robotic Process Automation (RPA), Office 365/SharePoint Online, and Teams
• understanding of the full lifecycle of development: Analysis, Research, Prototyping, Design, and Development
• Understanding of Agile methodology and self-starter who can quickly acclimate to a dynamic environment
• Thorough knowledge of SharePoint Online features for collaboration and business process automation
• Great communication skills (written and Spoken in English)
• Bachelor's Degree in Computer Science or a related field or the equivalent demonstrated experience

• Extensive experience in developing Java EE application
• Hands-on experience working with Spring, Spring Boot
• In-depth knowledge of relational and NoSQL databases.
• Experience working with Java Web Services, RESTful services 
• Experience using Redis, Memcached or any other caching system
• Experience working with message brokers– preferably RabbitMQ
• Experience with infrastructure automation technologies like Docker, Kubernetes.
• Experience with build automation technologies like Maven, Gradle.