Travel Desk Executive

• Work closely with product managers and engineers to design, implement, test and continually improve scalable frontend and backend services.
• Develop products using agile methods and tools.
• Develop commercial grade software that is user friendly and suitable for a global audience.
• Plan, create and execute (manual and automated) tests.
• Be involved and participate in the overall application lifecycle.
• Building reusable code and libraries for future use.
• Staying up to date with current technologies and providing insights on cutting edge software approaches, architectures, and vendors.

• Fluency in any one of JavaScript, TypeScript or Python.
• Strong problem solving skills. 
• Should have built large scalable enterprise applications from scratch.
• Strong experience in architectural patterns, High level designs.
• Experience in Nosql and SQL DBs.
•  

Job Title: Computer Vision Research Engineer (2–4 Years Experience)

Location: Bengaluru - Hybrid/Remote

Experience: 2–4 Years

Employment Type: Full-time

Job Description

We are looking for a Computer Vision Research Engineer with 2 to 4 years of experience to join our AI team. The ideal candidate will have a strong background in self-supervised learning (SSL) techniques, vision pre-training strategies, and hands-on experience with end-to-end delivery of computer vision projects.

Key Responsibilities

• Design and implement state-of-the-art self-supervised learning algorithms for vision tasks.
• Develop and optimize pre-training pipelines for downstream CV applications.
• Work on tasks such as object detection, segmentation, OCR, pose estimation, and visual reasoning.
• Collaborate with cross-functional teams to deploy and validate models in real-world scenarios.
• Conduct experiments, benchmark performance, and contribute to research publications or internal whitepapers.

Required Skills

• Strong experience in SSL algorithms (e.g., MoCo, SimCLR, BYOL, DINO, MAE).
• Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow).
• Experience with image/video datasets and augmentations used in pre-training.
• Solid understanding of core CV tasks and metrics (e.g., mAP, IoU, Dice).
• Demonstrated success in delivering CV solutions to production or research prototypes.

Preferred Qualifications

• Contributions to open-source CV/SSL projects or research papers.
• Familiarity with vision transformer architectures (ViTs, Swin, etc.).
• Experience working with large-scale vision datasets and distributed training.

Apply with your resume, GitHub, or project portfolio.

Create and optimize ad campaigns and paid search landing pages. Analyze and optimize ad campaigns to increase return on investment (ROI) Use Google Ads to drive a variety of online marketing campaigns. Analyze and optimize pay-per-click (PPC) campaigns to increase ROI. Think strategically - seeing the bigger picture and setting aims and objectives in order to develop and improve the business.

Work strategically - carrying out necessary planning in order to implement operational changes.

Have a good understanding of Google & meta ads, and also they be able to advise others about them.

Responsibilities

·  You are responsible for various dimensions of testing (functional/non-functional), ensuring quality experiences to our customers.

·  With your extensive technical expertise and judgment, you are an integrated part of the software development team and define, document, analyze, perform and automate tests for products.

·  You will identify functional /non-functional issues and come up with creative resolutions from test automation.

·  You are responsible for adhering to best QA Automation practices and improving the quality of the products continuously.

·  You are responsible for creating reliability that enables and validates high quality releases at a fast place.

·  You are responsible for creating and executing automation scripts on multiple platforms on Desktop, Mobile-Web and devices (iOS and Android app).

·  Collaborating with QA Analysts and Software Developers to develop solutions.

·  Experience with Agile Scrum process.

Desired Skills:

·  You should have a strong technical background, be detailed driven and have excellent problem-solving abilities.

·  Strong coding skills and OOD/OOP knowledge.

·  You should have around 2 -5 years of experience in test automation of Web/Mobile either.

·  You should have exposure to distributed systems or web applications/mobile applications.

·  Strong understanding of various testing cycles and release activities.

·  You should have working knowledge with one or more functional tools.

·  You must be aware of frameworks like Page Object Model, Funtional object model.. etc.

·  Good to have working knowledge on performance testing and API testing tools like jmeter, Postman and Rest-assured.

·  Experience participating of setup of test automation as part of CI/CD pipelines.

·  Proficiency in programming languages in Java.

·  You should have strong experience in Selenium, appium, rest-assured.

Qualifications

·  Bachelor's degree in CS/IT/EC/ or a any Related field.

·  Previous experience as a test automation engineer (at least 2 year as SDET)

·  Excellent mathematical and problem-solving skills.

·  Highly accurate and detail-oriented.

-Should have experience in Creating and managing Liferay Portal themes

-Need to have experience working with JAVA technologies

-Excellent oral and written communication skills with a keen sense of customer service

-Excellent problem-solving and troubleshooting skills

-Process-oriented with great documentation skills.

-Should have knowledge of DXP

• Use data to develop machine learning models that optimize decision making in Credit Risk, Fraud, Marketing, and Operations
• Implement data pipelines, new features, and algorithms that are critical to our production models
• Create scalable strategies to deploy and execute your models
• Write well designed, testable, efficient code
• Identify valuable data sources and automate collection processes.
• Undertake to preprocess of structured and unstructured data.
• Analyze large amounts of information to discover trends and patterns.

Requirements:

• 1+ years of experience in applied data science or engineering with a focus on machine learning
• Python expertise with good knowledge of machine learning libraries, tools, techniques, and frameworks (e.g. pandas, sklearn, xgboost, lightgbm, logistic regression, random forest classifier, gradient boosting regressor etc)
• strong quantitative and programming skills with a product-driven sensibility