AI/ML Engineer

at RaptorX.ai

AI/ML Engineer

RaptorX.ai

Company

Home

AI/ML Engineer

at RaptorX.ai

Posted by Parminder Kaur

2 - 4 yrs

₹5L - ₹10L / yr

Hyderabad

Skills

Python

TensorFlow

PyTorch

Docker

Kubernetes

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

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.
Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
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.
Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

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

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

The Market Opportunity

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

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.
Innovate Every Day: Solve complex, unsolved problems using the latest in AI, Graph Databases, and advanced analytics.
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.
Make an Impact: Help businesses reduce losses, secure customers, and prevent fraud globally. Your work will create a tangible difference.

Users love Cutshort

Read about what our users have to say about finding their next opportunity on Cutshort.

Shubham Vishwakarma

Full Stack Developer - Averlon

I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.

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About RaptorX.ai

Founded :

2024

Type :

Product

Size :

0-20

Stage :

Raised funding

About

RaptorX.ai is an innovative fraud prevention platform founded in 2023, leveraging advanced AI and machine learning to protect businesses against digital threats. Backed by prominent investors like PeakXV Spark, the company specializes in transaction security and identity verification solutions. Through their cutting-edge technology combining supervised and unsupervised ML with LLMs, RaptorX is transforming how businesses approach fraud prevention and digital trust.

Angular (2+)

NodeJS (Node.js)

React.js

Python

Java

Candid answers by the company

What does the company do?

What is the location preference of jobs?

What makes RaptorX an interesting career opportunity in 2024?

What is the core business focus of RaptorX?

RaptorX.ai is a B2B fraud prevention platform that uses advanced AI and machine learning to protect businesses against transaction and identity fraud. They offer comprehensive solutions for:

Transaction fortification
User profiling
Fraud prevention
Dispute resolution
Regulatory compliance

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Deep Learning

MySQL

Job Description: Data Science Analyst/ Data Science Senior Analyst Job description KSTYCH is seeking a Data Science Analyst to join our Data Science team. Individuals in this role are expected to be comfortable working as a software engineer and a quantitative researcher, should have a significant theoretical foundation in mathematical statistics. The ideal candidate will have a keen interest in the study of Pharma sector, network biology, text mining, machine learning, and a passion for identifying and answering questions that help us build the best consulting resource and continuous support to other teams. Responsibilities Work closely with a product scientific, medical, business development and commercial to identify and answer important healthcare/pharma/biology questions. Answer questions by using appropriate statistical techniques and tools on available data. Communicate findings to project managers and team managers. Drive the collection of new data and the refinement of existing data sources Analyze and interpret the results of an experiments Develop best practices for instrumentation and experimentation and communicate those to other teams Requirements B. Tech, M.Tech, M.S. or Ph.D. in a relevant technical field, or 1+ years experience in a relevant role Extensive experience solving analytical problems using quantitative approaches Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources A strong passion for empirical research and for answering hard questions with data A flexible analytic approach that allows for results at varying levels of precision Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner Fluency with at least one scripting language such as Python or PHP Familiarity with relational databases and SQL Experience working with large data sets, experience working with distributed computing tools a plus (KNIME, Map/Reduce, Hadoop, Hive, etc)

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