Machine Learning Engineer

What You’ll Do

Key Responsibilities

 Collaborate with vendors to gather requirements for API development and ensure

technical feasibility.

 Collect API documentation from vendors; document and explain business logic to

use external data sources effectively.

 Access vendor applications to create and validate sample data; ensure the accuracy

and relevance of test datasets.

 Translate complex business logic into documentation for developers, ensuring

clarity for successful integration.

 Monitor all integration activities and support tickets in Jira, proactively resolving

critical issues.

 Lead QA testing for integrations, overseeing pilot onboarding and ensuring solution

viability before broader rollout.

 Document onboarding processes and best practices to streamline future

integrations and improve efficiency.

 Build, train, and deploy machine learning models for forecasting, pricing, and

optimization, supporting strategic goals.

 Drive end-to-end execution of data integration projects, including scoping, planning,

delivery, and stakeholder communication.

 Gather and translate business requirements into actionable technical specifications,

liaising with business and technical teams.

 Oversee maintenance and enhancement of existing integrations, performing RCA

and resolving integration-related issues.

 Document workflows, processes, and best practices for current and future

integration projects.

 Continuously monitor system performance and scalability, recommending

improvements to increase efficiency.

 Coordinate closely with Operations for onboarding and support, ensuring seamless

handover and issue resolution.

Desired Skills & Qualifications

 Strong experience in API integration, data analysis, and documentation.

 Familiarity with Jira for ticket management and project workflow.

 Hands-on experience with machine learning model development and deployment.

 Excellent communication skills for requirement gathering and stakeholder

engagement.

 Experience with QA test processes and pilot rollouts.

 Proficiency in project management, data workflow documentation, and system

monitoring.

 Ability to manage multiple integrations simultaneously and work cross-functionally.

Required Qualifications

 Experience: Minimum 4 years in hotel technology or business analytics, preferably

handling data integration or system interoperability projects.

 Technical Skills:

 Basic proficiency in SQL or database querying.

 Familiarity with data integration concepts such as APIs or ETL workflows

(preferred but not mandatory).

 Eagerness to learn and adapt to new tools, platforms, and technologies.

 Hotel Technology Expertise: Understanding of systems such as PMS, CRS, Channel

Managers, or RMS.

 Project Management: Strong organizational and multitasking abilities.

 Problem Solving: Analytical thinker capable of troubleshooting and driving resolution.

 Communication: Excellent written and verbal skills to bridge technical and non-

technical discussions.

 Attention to Detail: Methodical approach to documentation, testing, and deployment.

Preferred Qualification

 Exposure to debugging tools and troubleshooting methodologies.

 Familiarity with cloud environments (AWS).

 Understanding of data security and privacy considerations in the hospitality industry.

Responsibilities:

 Ensure product delivery is fast, low-cost and sustainable.

 Take responsibility from development to customer support.

 Research and implement things wherever needed, improve efficiency using

automation, and methods like test driven development.

 Setting up events for user, performance and error analytics.

 Participate in product and design ideation, collaborate with the team to

implement high-quality features.

Skills & Qualifications

 2 years of experience in software development preferably B2C experience.

 Experience in React native, Javascript.

 Experience with popular React workflows (such as Flux or Redux).

 Familiarity with newer specifications of ECMAScript (ES6 & ES5 ).

 Familiarity with RESTful APIs.

 Experience in working with the MERN stack or similar frameworks

Responsibilities and duties

• Create content marketing campaigns to drive leads and subscribers Use SEO best practices to generate traffic to our site
• Regularly produce various content types, including email, social media posts, blogs, and white papers
• Actively manage and promote our blog, and pitch articles to relevant third-party platforms
• Edit content produced by other members of the team
• Analyze content marketing metrics and makes changes as needed
• Collaborate with other departments to create innovative content ideas

1. Understanding of python backend development ,with Django ot flask frame work
2.  Design, build and maintain responsive front-end interfaces for applications
3. Collaborate with the rest of the engineering team to design and launch new features
4. Create REST APIs and integrating them with the frontend
5. Test software to ensure responsiveness and efficiency

Desired candidates must have 2-6 years experience as NodeJs Developer. If the candidate is not able to relocate to Gurgaon then we can also provide permanent Work from home for this position.

Roles and responsibilities:

• Responsible for understanding functional and business requirements and translate them into effective code
• Provide support till deployment of code into production.
• Ownership for ensuring code optimization, problem diagnosis, and on-time delivery
• Implement solutions as per the pre-defined framework /guidelines and adherence to processes
• Finding an optimal solution for the problem statement
• Conduct peer code review.

What candidate should know about:

• Excellent hands-on experience with Node.Js, Express.Js, JavaScript
• Understanding the nature of asynchronous programming and its quirks and workarounds
• Excellent hands-on experience with MongoDB, Mongo aggregation, MySQL
• Ability to build REST services, Authentications, MVC applications
• Excellent Object Oriented Programming skills and ability to write modular, secure, scalable, and maintainable code
• Experience with Elastic Search, Redis.
• Knowledge about AWS components (S3, EC2, Cloudfront, Redis Clusters, etc.)
• Self-learning abilities are required
• Familiarity with upcoming new technologies is a strong plus