Receptionist / Front Desk Support

Job Summary:

We are seeking a detail-oriented and proactive IT Infrastructure Support Specialist to join our team. The ideal candidate will be responsible for maintaining, monitoring, and supporting the company’s IT infrastructure, including servers, networks, hardware, and software systems. You will also assist end-users with technical support and work on projects that improve our technology landscape.

Key Responsibilities:

• Provide day-to-day support for IT infrastructure including servers, storage, networks, and desktop environments.
• Monitor system performance and availability using appropriate tools.
• Install, configure, and maintain operating systems, software, and hardware.
• Troubleshoot and resolve hardware, software, and networking issues.
• Assist with backups, patch management, and disaster recovery plans.
• Maintain IT asset inventory and documentation.
• Provide support to end-users for issues related to systems, software, and hardware.
• Work with vendors and service providers for infrastructure support and procurement.
• Participate in infrastructure upgrades and migration projects.
• Ensure adherence to IT policies, security standards, and best practices.

Qualifications:

• Bachelor’s degree in Information Technology, Computer Science, or a related field.
• 1–3 years of experience in IT support or infrastructure administration (more for senior roles).
• Solid understanding of Windows/Linux operating systems, Active Directory, and networking concepts (DNS, DHCP, TCP/IP).
• Experience with virtualization platforms (e.g., VMware, Hyper-V) is a plus.
• Familiarity with cloud environments (e.g., AWS, Azure) is an advantage.
• Strong troubleshooting skills and a customer-oriented mindset.
• Excellent communication and documentation skills.

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.

- Good understanding of NODE JS back-end development

- Strong understanding of Node.js and frameworks available for it

- Understanding of front-end technologies, such as React/Angular, HTML and CSS3
-Solid understanding of object-oriented development and design patterns.

- Good experience with AJAX, REST and JSON

- Experience with development practices such as Test-Driven Development and Continuous Integration
-Experience in Version Control Systems like GIT, Bitbucket
- Must have good problem solving and analytical skills.

- Must be a team player, having good communication skills, self-starter

- Ability to pick up new technology is needed.

Roles and responsibilities:

• Execute tests, collect and analyze data and results, and identify trends and insights to achieve maximum ROI in paid search campaigns.
  
  
• Track, report, and analyze website analytics.

• Optimize copy and landing pages for search engine marketing.
  
  
• Perform ongoing keyword discovery, expansion and optimization.
  
  
• Research and implement search engine optimization recommendations.
  
  
• Research and analyze competitor advertising links.
  
  
• Develop and implement link building strategy.
  
  
• Work with the development team to ensure SEO best practices are properly implemented on newly developed code.
  
  
• Work with editorial and marketing teams to drive SEO in content creation and content programming.
  
  
• Recommend changes to website architecture, content, linking and other factors to improve SEO positions for target keywords.
  
  

Requirements and skills:

• Bachelor’s degree required.

• 1-2 years of experience in SEO marketing.

• Proven SEO experience.

• Proven SEM experience managing PPC campaigns across Google, Yahoo and Bing.
  
  
• Solid understanding of performance marketing, conversion, and online customer acquisition.
  
  
• In-depth experience with website analytics tools (e.g, Google Analytics, NetInsight, Omniture, WebTrends).
  
  
• Experience with bid management tools (e.g., Click Equations, Marin, Kenshoo, Search Ignite).
  
  
• Experience with A/B and multivariate experiments.
  
  
• Knowledge of ranking factors and search engine algorithms.
  
  
• Up-to-date with the latest trends and best practices in SEO. 

Responsibilities:

• Provide daily support with resolution of escalated tickets and act as liaison to business and technical leads to ensure issues are resolved in timely manner.
• Incident resolution and supporting production system deployments.
• Suggest fixes to complex issues by doing a thorough analysis of root cause and impact of the defect.

• Support and deliver within Continuous Integration/Continuous Delivery pipelines.

• Prioritise workload, providing timely and accurate resolutions.
• Perform production support activities which involve assignment of issues and issue analysis and resolution within the specified SLAs.
• Understand linux. SSH to linux box, look for web logs etc
• Understand web apps to be able to troubleshoot issues

Requirements:

• Good to have programming experience with Python.
• Java and JavaScript development experience would be an added advantage.
• You should not be afraid to do some development as well as Devops.
• Clear written and oral communication is a must.

Job Position- Social Media Expert

Company Name- Vsynergize

Key Deliverables:

1. The candidate should have social media expertise and experience in creating content for different social media platforms knowing nuances of each platform.

2. Expertise in engaging the audience through social media posts and interactions.

3. Produce and ideate Social Media posts, primarily for Twitter, LinkedIn, and Facebook

4. Planning, executing and optimizing Paid Social media campaigns 

5. Find new and exciting ways to engage prospects via social media channels to drive awareness and conversation 

6. Should also possess decent copywriting skills, to convey ideas in a clear and precise way.

7. The candidate will be responsible for managing social media marketing campaigns and engagement strategy  

8. Researching and promoting new trends, topics and areas of interest to be included in marketing content

9. Design and implement a social media strategy to align with business goals

10. Collaborate with other teams, like marketing, sales, and operations to ensure brand consistency

11. Analyze and report social channel and activation performance to quantify the effectiveness of campaigns and drive scalable learnings

Key Skills Required-

1. Excellent English language skills

2. Candidates should have worked on multiple Social Media Campaigns.

3. Displays the ability to effectively communicate information and ideas in written and video format.

4. Demonstrates time management skills

5. Hands-on experience in content management

6. Analytical and multitasking skills

7. Solid knowledge of SEO, keyword research and Google Analytics

Experience and qualification required-

1. Proficiency in content creation for various social media platforms

2. Hands-on experience with Paid social and Google Ads campaigns is essential 

3. Displays knowledge and understanding of social media platforms, their respective participants (Facebook, Twitter, Instagram, YouTube, etc.) and how each platform can be deployed in different scenarios.

4. Advertising Agency experience is highly desirable  

5. Bachelor’s degree in communications, journalism, or marketing

6. Excellent writing skills

7. 1-3 years of experience in social or digital media

5 day week schedule.

• Developing content for blogs, articles, app descriptions, social media, and the company website.
• Write in “American English” as the audience is a US consumer audience
• Identifying customers’ needs and recommending new content to address gaps in the current content.
• Build and manage our social media profiles and presence across channels you deem relevant
• Curate and create interesting, relevant, and trending content people look forward to every day
• Monitor and engage in relevant social discussions about our company, competitors, and/or industry, both from existing leads and customers as well as from brand new audiences.
• Ideate and execute world-class social promotions and campaigns and track their success
• Work alongside other marketers to create content that educates and entertains our audience and supports marketing goals.
• Drive consistent, relevant traffic and leads from our social network presence.

Role and Responsibilities

• Build a low latency serving layer that powers DataWeave's Dashboards, Reports, and Analytics functionality
• Build robust RESTful APIs that serve data and insights to DataWeave and other products
• Design user interaction workflows on our products and integrating them with data APIs
• Help stabilize and scale our existing systems. Help design the next generation systems.
• Scale our back end data and analytics pipeline to handle increasingly large amounts of data.
• Work closely with the Head of Products and UX designers to understand the product vision and design philosophy
• Lead/be a part of all major tech decisions. Bring in best practices. Mentor younger team members and interns.
• Constantly think scale, think automation. Measure everything. Optimize proactively.
• Be a tech thought leader. Add passion and vibrance to the team. Push the envelope.

Skills and Requirements

• 8- 15 years of experience building and scaling APIs and web applications.
• Experience building and managing large scale data/analytics systems.
• Have a strong grasp of CS fundamentals and excellent problem solving abilities. Have a good understanding of software design principles and architectural best practices.
• Be passionate about writing code and have experience coding in multiple languages, including at least one scripting language, preferably Python.
• Be able to argue convincingly why feature X of language Y rocks/sucks, or why a certain design decision is right/wrong, and so on.
• Be a self-starter—someone who thrives in fast paced environments with minimal ‘management’.
• Have experience working with multiple storage and indexing technologies such as MySQL, Redis, MongoDB, Cassandra, Elastic.
• Good knowledge (including internals) of messaging systems such as Kafka and RabbitMQ.
• Use the command line like a pro. Be proficient in Git and other essential software development tools.
• Working knowledge of large-scale computational models such as MapReduce and Spark is a bonus.
• Exposure to one or more centralized logging, monitoring, and instrumentation tools, such as Kibana, Graylog, StatsD, Datadog etc.
• Working knowledge of building websites and apps. Good understanding of integration complexities and dependencies.
• Working knowledge linux server administration as well as the AWS ecosystem is desirable.
• It's a huge bonus if you have some personal projects (including open source contributions) that you work on during your spare time. Show off some of your projects you have hosted on GitHub.