Animation

Responsibilities:

* Collaborate with cross-functional teams on project requirements and deliverables

* Develop user interfaces using React.JS and Express API's

* Implement database solutions with MongoDB and Node.JS

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.

• Work closely with partners to gain a comprehensive understanding of the company’s hiring needs for each position, and meet competitive hiring goals and expectations
• Manage the full recruiting lifecycle across a variety of open roles helping management find, hire, and retain quality talent
• Grow and foster high-touch relationships with a database of qualified active and passive talent to pull from as new positions open up
• Continuously partner with recruiting team and senior managers to design, refine, and implement innovative recruiting strategies
• Stay active with current with job boards, social networks, and platforms to find talent, and plan, create, and release job descriptions and announcements.
•  

• 2 -5 years’ experience in recruitment (IT recruitment plus)
• Exceptional communication, interpersonal, and decision-making skills
• Advanced knowledge of MS Office, database management, and internet search
• Familiarity with job boards

RESPONSIBILITIES

• As a Business Development Manager working under the FMCG segment, an ideal candidate must perform the following responsibilities.
• Approaching potential leads and closing them within a stipulated time frame.
• Create exclusive distributors, exclusive super stockiest and business associates for the company.
• keep abreast with stock reports, inventory, product orders,re-order etc.
• REQUIREMENTS
• Bachelor's degree in business, marketing or a related field.
• experience in sales, marketing or related field.
• strong communication skills.

We are looking for Sr. Node Js Developer

Experience - 3-5 years 

Location - Ahmedabad, Gujarat. (Work from Office)

5 Days working 

Should have good communication skills.

Requirements:

•API Development

• Mongodb or Firebase

•Designing and developing user interfaces using Angular OR JavaScript MV-VM/MVC frameworks

•Good understanding of AJAX and JavaScript, TypeScript Dom manipulation Techniques

•Experience with RESTful services

•Expert in any one of the modern JavaScript MV-VM/MVC frameworks (AngularJS, JQuery, ReactJS)

•Knowledge of Node.js, Express and frameworks available for it

•Understanding the nature of asynchronous programming and its quirks and workarounds

1. Create and maintain optimal data pipeline architecture
2. Assemble large, complex data sets that meet business requirements
3. Identifying, designing, and implementing internal process improvements including redesigning infrastructure for greater scalability, optimizing data delivery, and automating manual processes
4. Work with Data, Analytics & Tech team to extract, arrange and analyze data
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Building analytical tools to utilize the data pipeline, providing actionable insight into key business performance metrics including operational efficiency and customer acquisition
7. Works closely with all business units and engineering teams to develop a strategy for long-term data platform architecture.
8. Working with stakeholders including data, design, product, and executive teams, and assisting them with data-related technical issues
9. Working with stakeholders including the Executive, Product, Data, and Design teams to support their data infrastructure needs while assisting with data-related technical issues.

1. SQL
2. Ruby or Python(Ruby preferred)
3. Apache-Hadoop based analytics
4. Data warehousing
5. Data architecture
6. Schema design
7. ML

1.  Prior experience of 2 to 5 years as a Data Engineer.
2. Ability in managing and communicating data warehouse plans to internal teams.
3. Experience designing, building, and maintaining data processing systems.
4. Ability to perform root cause analysis on external and internal processes and data to identify opportunities for improvement and answer questions.
5. Excellent analytic skills associated with working on unstructured datasets.
6. Ability to build processes that support data transformation, workload management, data structures, dependency, and metadata.

• Should learn and understand the product, respond to customer queries in a timely and accurate way, via phone, email, or chat
• Identify customer needs and help customers use specific features
• Analyze and report product malfunctions (for example, by testing different scenarios or impersonating users)
• Update our internal databases with information about technical issues and useful discussions with customers
• Update customers about new features and functionalities
• Follow up with customers to ensure their technical issues are resolved
• Gather customer feedback 
• Knowledge of Test Automation and writing javascript is a plus
  
  

• Great Communicator - We are looking for a communicator par excellence.
• Problem Solver - There are times when you have a deadline but not the right candidate for the position, you have to be able to figure out a quick solution that will not hamper the team's productivity.
• Comfortable with Ambiguity - You enjoy a high pace of work and an environment where all answers are not readily available but will need you to be a part of finding answers
• Presence of Mind - You know how to apply your mind to think through a complex problem and not lose your cool in dealing with clients