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.

Companies hiring on Cutshort

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

Company social profiles

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. Experience in designing scalable micro-services required.
. Strong knowledge of CS fundamentals including data structures, algorithm design and complexity analysis.
. Proficiency in one language that emphasizes class abstractions (for e.g. Java) and have coded in it for at least 2 years. Python will be a plus.
. Excellent communication, analytical and problem solving skills.
. Strong organizational skills and the ability to prioritize and work with clients with great efficiency.
. Excellent written and oral communication and presentation skills and the ability to express thoughts logically
and succinctly.
. Open minded, Team builder, Good communicator and ability to lead and inspire teams.
. Demonstrated ability to achieve stretch goals in a highly innovative and fast paced environment.
. Experience in dealing with ambiguous/undefined problems; ability to think abstractly.

UX Lead

at Healofy

3 recruiters

Posted by Sneha Das

Bengaluru (Bangalore)

2 - 4 yrs

₹12L - ₹40L / yr

Wireframing

User Experience (UX) Design

User Research

UX Designer Lead

UX Designer Responsibilities include:

Conducting user research and testing
Developing wireframes and task flows based on user needs
Collaborating with Designers and Developers to create intuitive, user-friendly software

Job brief

We are looking for a UX Designer to design software and platforms that meet people’s needs. You will combine interfaces and workflows to enhance user experience.

In this role, you should be an analytical and creative designer who is able to grasp user needs and solve problems. A strong portfolio of successful UX and other technical projects is essential.

Ultimately, you will make our product more user-friendly and intuitive to attract and retain customers.

Responsibilities

Understand product specifications and user psychology
Conduct concept and usability testing and gather feedback
Create personas through user research and data
Define the right interaction model and evaluate its success
Develop wireframes and prototypes around customer needs
Find creative ways to solve UX problems (e.g. usability, findability)
Work with UI designers to implement attractive designs
Communicate design ideas and prototypes to developers
Keep abreast of competitor products and industry trends

Requirements

Proven experience as a UX Designer
Strong portfolio of design projects
Background in project management and research
Familiarity with interaction design and information architecture
Proficient in design software (e.g. UXPin, Balsamiq)
Knowledge of HTML/CSS; JavaScript is a plus
Problem-solving aptitude
Analytical mind with a business acumen
Excellent communication skills
Bachelor's in Engineering with any design specialisation from Tier 1 Engg colleges.

UX Designer Lead

UX Designer Responsibilities include:

Conducting user research and testing
Developing wireframes and task flows based on user needs
Collaborating with Designers and Developers to create intuitive, user-friendly software

Job brief

We are looking for a UX Designer to design software and platforms that meet people’s needs. You will combine interfaces and workflows to enhance user experience.

In this role, you should be an analytical and creative designer who is able to grasp user needs and solve problems. A strong portfolio of successful UX and other technical projects is essential.

Ultimately, you will make our product more user-friendly and intuitive to attract and retain customers.

Responsibilities

Understand product specifications and user psychology
Conduct concept and usability testing and gather feedback
Create personas through user research and data
Define the right interaction model and evaluate its success
Develop wireframes and prototypes around customer needs
Find creative ways to solve UX problems (e.g. usability, findability)
Work with UI designers to implement attractive designs
Communicate design ideas and prototypes to developers
Keep abreast of competitor products and industry trends

Requirements

Proven experience as a UX Designer
Strong portfolio of design projects
Background in project management and research
Familiarity with interaction design and information architecture
Proficient in design software (e.g. UXPin, Balsamiq)
Knowledge of HTML/CSS; JavaScript is a plus
Problem-solving aptitude
Analytical mind with a business acumen
Excellent communication skills
Bachelor's in Engineering with any design specialisation from Tier 1 Engg colleges.

Site Reliability Engineer

at Shuttl

8 recruiters

Posted by Tanika Monga

NCR (Delhi | Gurgaon | Noida)

3 - 6 yrs

₹10L - ₹21L / yr

Terraform

Kubernetes

Ansible

WHAT WILL I DO? You will work as a Site Reliability Engineer responsible for the availability, performance, monitoring, and incident response, among other things, of the platforms and services used and owned by Shuttl. The SRE Team works alongside the Engineering team and owns every aspect of service availability as well as disaster recovery and business continuity plans. You will work with other Site Reliability Engineers and report to the Lead of Site Reliability Engineering Team. HOW DO WE WORK? Our engineering process is a five step process which consists of phases for planning, developing, testing & profiling, releasing and monitoring. The planning phase consists of documenting of the feature/task to be done followed by various discussions. These discussions cover product, delivery estimates, release plan, monitoring plan, test plans, architecture, code design, technology choices and best practice adoption. The development and testing phase coexist and involve writing code, unit tests, performance tests, profiling, stress testing, code reviews and QA testing. This phase is punctuated with daily scrums and standups. The release phase is largely about managing and communicating the release to customers and internal stakeholders and activating features. The last phase is the monitoring phase where relevant metrics and exceptions are tracked and any critical refinement for the delivered feature is undertaken. This phase culminates with a retrospective. SREs get involved in this process as early as possible to provide general guidance, recommendations and help with designing the application to be in compliance with community standards such as CNCF and 12 Factor. SRE involvement and influence tends to increase during mid to final stages of development where the application is primed for beta evaluation and all the tooling and instrumentation is finalized. WHAT SKILLS SHOULD I HAVE? For this role we expect you to have 3+ years of experience working as a DevOps Engineer or SRE. You should have a good grasp of Unix like systems, access control, networking nuances, process isolation by the means of kernel provided features, distributed applications and algorithms, job schedulers and secret management among other things. At Shuttl we are a big proponent of Immutable infrastructure. All our infrastructure is hosted with Amazon Web Services and we use Hashicorp's Terraform to manage the infrastructure as code. A good handle on AWS and Terraform is therefore a definitive plus. Since SREs are expected to write a lot of code, you are also expected to be skillful in a programming language, preferably Python or Go.