Sr.Managed Sales-Manager

Required a passionate graphic designer trainer for IT Institute with relevant experience of 1-3 years. 6 days class per week. 1hour per day class.

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.

Overview
We are looking for a Senior JavaScript developer who is well versed with React and TypeScript.
2-5 years experience mandatory! We look for individuals with a deep knowledge of JavaScript, CSS, and HTML, who are not only comfortable in writing custom JavaScript but also know when to apply off-the-shelf solutions to a problem. Individuals who do well on this team are self-motivated engineers with a passion for user experience & innovation.
We currently work with TypeScript, React, GraphQL, and Node.js, however the ability to adapt with changing technology is an important quality that we are looking for.

Responsibilities
Developing new user-facing features using TypeScript/React.js
Building reusable components and front-end libraries for future use
Translating designs and wireframes into high quality code
Optimising components for maximum performance across a vast array of web-capable devices and browsers
API integrations

Skills
Thorough understanding of Typescript & React.js and its core principles
Experience with popular React.js workflows (such as Redux)
Familiarity with newer specifications of EcmaScript
Experience with data structure libraries (e.g., Immutable.js)
Knowledge of isomorphic React is a plus
Familiarity with GraphQL/RESTful APIs
Knowledge of modern authorization mechanisms, such as JSON Web Token
Experience with common front-end development tools such as Babel, Webpack, NPM, Yarn etc.
WebRTC knowledge is a plus.

• Have 3+ years of experience in Python development
• Be familiar with common database access patterns
• Have experience with designing systems and monitoring metrics, looking at graphs.
• Have knowledge of AWS, Kubernetes and Docker.
• Be able to work well in a remote development environment.
• Be able to communicate in English at a native speaking and writing level.
• Be responsible to your fellow remote team members.
• Be highly communicative and go out of your way to contribute to the team and help others

                                                       JD – Engineering Manager Role

Responsibilities:

• Designed, developed and deployed cloud-native applications (we use AWS)
• Working on or leading enterprise tech products and worked with enterprise customers
• Mentor & grow / Hire Engineering Managers to lead up these individual units.
• Work closely with Product Management, Business Development and Operations team and enable them by providing scalable and high quality technology solutions at a rapid pace.
• Set up the organisation & processes to enable timely delivery of projects with high quality.
• Set up best practices for development and champion their adoption.
• Well versed in Software Architecture and Design - You should be able to spot flaws in the existing architecture and design. You would help us refactor and re-architecture the code for easier and faster development.
• Oversee Architecture & design of technically robust, flexible and scalable solutions.
• Perform well in uncertainties and collaborate and work with unclear interfaces to other teams in our rapidly evolving organisations.
• Create clear career paths for team members and help them grow with regular & deep mentoring.
• Identify, define, and coordinate the training needs of the team.
• Perform regular performance evaluation and share and seek feedback on a regular basis
• Building and maintaining data capabilities at KredX while taking care of scaling, privacy and processing aspects.
• Ability to work with external partners and vendors to integrate with KredX product
• Write blogs and other technical papers to share the lessons with community both inside and outside the company and or participates in technical events to get new knowledge to the organisation while improving brand of engineering team at KredX
• Appropriately escalate any issues/concerns that require immediate attention from other affected parties
• Always be thinking about the engineering systems and business from different angles - fraud, downtimes, scale, business direction and more

Requirements:

• Experience in working with large scale unstructured data, and data science
• Deep Understanding of enterprise grade technologies.
• Deep understanding & expertise with highly transactional, large relational and complex systems.
• Strong leadership skills.
• Possess superb troubleshooting and problem analysis skills.
• Knowledgeable about new engineering paradigms and developments in software engineering