Sales Business Development Executive

Job Summary:

As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Angular.

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Job Responsibilities:

• Building and implementing high-quality user interfaces using JavaScript and the Angular framework
• Works independently with a broader perspective on the project
• Participates in requirements analysis, development, unit testing and documentation.
• Writes quality code to fit unique customer needs and configurations.
• Troubleshoots and debugs (with some guidance from senior team members if needed)
• Achieves better understanding of the company platform and processes and suggests improvements.
• Understanding the system architecture and technical goals of the product.
• Follow development process (source control, branching, testing, Code Review etc.) without assistance.
• Actively troubleshoot issues and assist with complex support queries which require further analysis.
• Provides mentoring/guidance to junior Software Engineers
• Delivers training and participates in knowledge sharing.
• Achieves better understanding of the company platform and processes and suggests improvements.

Job Requirements:

Must Have:

• Minimum 3 to 5 years’ experience 
• Strong in Angular
• Strong in Typescript
• Strong of NodeJS
• Strong of multiple front-end languages (JavaScript, HTML, CSS) and their libraries
• Experience of consuming REST API
• Demonstrate understanding of good coding practices.
• Experience of writing unit tests.
• Experience of implementation on cloud.
• Use of tools such as JIRA, Git, GitHub.
• Ability to write cross-browser compatible code
• Good Communication skills.
• Ability to participate in team discussions.
• Positive attitude, willingness to learn and self-motivated.

Good to have:

• Exposure on SPA Front End App
• Exposure on Rxjs, Ngrx/store, Nx monorepo, Deck.gl
• Exposure on Turf.js (GIS), cypress 
• Exposure on Storybook 
• Experience of Docker
• Familiarity with database technologies such as MySQL, Oracle, and MongoDB
• Experience with Serverless.
• Ability to document code inline using JSDoc

As a Campaign Ambassador at Unessa Foundation, you will support our outreach efforts by helping spread awareness and contributing to ongoing fundraising activities through your personal and social networks. You will receive guidance on how to represent the cause effectively and will get the opportunity to be part of a mission-driven campaign.

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.

𝗚𝘂𝗮𝗿𝗮𝗻𝘁𝗲𝗲𝗱 𝗣𝗹𝗮𝗰𝗲𝗺𝗲𝗻𝘁 𝗳𝗼𝗿 𝘁𝗼𝗽 𝟭𝟬 𝗽𝗲𝗿𝗳𝗼𝗿𝗺𝗲𝗿𝘀

Courses: Python, React, Node, ROR

Eligibility: BE, BTech, MTech, MCA students

Batch Passout: 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026

1. The Full Stack batch (Python, React, ROR, Node) is starting from 3rd March.

2. The course fee is ₹30,000, which can be paid in 3 installments of ₹10,000 each.

3. The course duration is 3 months.

4. The training will be 8 hours daily, from 10 AM to 7 PM, Monday to Friday.

5. The training will be practical and hands-on, focusing on live projects using laptops and computers (no board teaching).

6. Each batch will have only 20 students, and the top 10 students will get guaranteed placement in BestPeers with a starting salary of ₹15,000 per month (fixed for 1 year, followed by an appraisal).

7. Before joining the course, we will conduct an interview to help identify your weak areas so that you can focus on improving them during the training.

Knowledge of PHP web frameworks including Laravel and CodeIgniter is must

· Knowledge on Doctrine ORM

· Knowledge of front-end technologies including Vue.js CSS3, JavaScript, and HTML5 is must

· Understanding of object-oriented PHP programming.

· Previous experience creating scalable applications.

· Proficient with code versioning tools including Git, Mercurial, CVS, and SVN.

· Familiarity with SQL/NoSQL databases.

· Ability to project manage.

· Good problem-solving skills.

1. Create Exclusive Distributors (minimum 4 in 4 months) in your respective areas of operation

1. To work directly with the distributor and the sales executives in designing and implementing key marketing campaigns.

1. To actively engage yourself to collect inventory, stocks and work reports of the distributor in a

daily/weekly basis.

1. To look after smooth functioning and supply chain of the authorized distributor under your

periphery.

1. To oversee sales executive schedule and plan them accordingly.

1. To facilitate cross-functional communications among project stakeholders.

1. To actively engage yourself with core marketing policies required for business development.

1. To look after the grievances and claims arising from time to time maintaining proper

coordination with the company.

1. To actively follow other marketing strategies and instructions as and when instructed by the company.

• 7+ years of experience in System Administration, Networking, Automation, Monitoring
• Excellent problem solving, analytical skills and technical troubleshooting skills
• Experience managing systems deployed in public cloud platforms (Microsoft Azure, AWS or Google Cloud)
• Experience implementing and maintaining CI/CD pipelines (Jenkins, Concourse, etc.)
• Linux experience, flavours: Ubuntu, Redhat, CentOS (sysadmin, bash scripting)
• Experience setting up monitoring (Datadog, Splunk, etc.)
• Experience in Infrastructure Automation tools like Terraform
• Experience in Package Manager for Kubernetes like Helm Charts
• Experience with databases and data storage (Oracle, MongoDB, Postgres SQL, ELK stack)
• Experience with Docker
• Experience with orchestration technologies (Kubernetes or DC/OS)
• Familiar with Agile Software Development