AI/ML Engineer

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.